Profit Point's Upgraded Supply Chain Design Software Improves Decisions in Capital Planning, Facilities Planning and Sustainability Initiatives

Profit Network 4.5 enhances visibility for decision makers and extends modeling capabilities to handle the world's largest supply chains.
North Brookfield, MA (PRWEB) February 4, 2010 -- Profit Point, a leading Supply Chain Optimization company, today announced the introduction of Profit Network 4.5, a major upgrade to their award-winning supply chain network design and modeling software. The software update includes a combination of new features and technical enhancements which combine to support richer scenario testing for larger supply chains over a longer time periods.
"With almost 10 years in the field, Profit Network has been put to the test against some of the world's largest supply chains," noted Jim Piermarini, Profit Point's Chief Technology Officer. "But best practices have expanded over time, so decision makers are looking for more integrated and comprehensive modeling solutions."
Profit Network 4.5, which is used by many Global 2000 companies to model supply chain plans, has been enhanced to integrate better capital planning, greater control over facilities decisions and improve tracking and modeling of sustainability initiatives. The modeling software now includes improved options for integrated capital spending, facilities decisions, natural resource planning and emissions mitigation.
"Ultimately, the number one priority for our customers remains capital planning and return on investments" said Piermarini. "A company's infrastructure plan will dictate 80% or more of future costs. So, we added several features that help analysts understand the capital impact of decisions to control costs and maximize the long-term logistics benefits."
The software update also includes several technical enhancements to improve planning for the largest supply chains, over longer periods of time. "We've added a new core optimization process into Profit Network 4.5," stated Piermarini. "Customers will now have 50% more addressable memory capacity, which will yield deeper visibility in to larger networks and the long term tradeoffs that are being modeled.
To learn more about Profit Network and Profit Point's supply chain software, visit www.profitpt.com.
About Profit Point:
Profit Point Inc. was founded in 1995 and is now a global leader in supply chain optimization. The company's team of supply chain consultants includes industry leaders in the fields infrastructure planning, green operations, supply chain planning, distribution, scheduling, transportation, warehouse improvement and business optimization. Profit Point's has combined software and service solutions that have been successfully applied across a breadth of industries and by a diverse set of companies, including Dow, The Coca-Cola Company, General Electric, Logitech, Sealed Air, Bridgestone and Toyota.
Labels: Green Network, Green Optimization, Infrastructure Planning, Jim Piermarini, Network Design, Press Releases, Profit Network
Wednesday, December 23, 2009
Profit Point creates greener and more profitable supply chains with FICO Xpress Optimization Suite
Below is a video interview with Ted Schaefer, Profit Point's Director of Supply Chain Services, discussing supply chain optimization including cost reduction and supply chain sustainability issues for greener decisions with Xpress Optimization Suite.
To learn more about our supply chain network design services, contact us here.
Labels: Green Network, Green Optimization, Infrastructure Planning, Network Design, Ted Schaefer, video
Wednesday, September 02, 2009
Supply Chain Agility: Even More Relevant in Times of Economic Uncertainty

We've heard a lot about supply chain agility over the past decade. While many companies have taken steps to improve their agility, how many actually achieve their agility potential? So, in light of the current economic situation, this brings the following question to mind, "Is your company's supply chain as agile as you thought it was?"
If today's economic doldrums aren't a good litmus test for your organization's true agility, then what is?
What is Supply Chain Agility?
First off, what is supply chain agility anyway, and what does it mean to be agile? We most closely associate the term agility with some type of athletic endeavor, so let's frame our understanding of agility from that perspective. Referencing Wikipedia, we can find the following definition: "Agility is the ability to change the body's position efficiently, and requires the integration of isolated movement skills using a combination of balance, coordination, speed, reflexes, strength, endurance, and stamina."
So, agility has something to do with responsiveness, presumably to respond to an internal or external stimulus.
What does agility mean in business terms, more specifically what does agility have to do with a supply chain? Again referencing Wikipedia, "In business, agility means the capability of rapidly and cost efficiently adapting to changes."
For businesses, agility reflects the supply chain's ability to deliver in a rapid and cost efficient manner, through the integration of physical infrastructure and processes that govern supply chain execution.
Theory is well and good, but the real question decision makers like you are concerned with is "How agile is my supply chain?" Is your business capable of making adjustments during periods of slower economic activity without sacrificing its principles - loyalty to employees, customers and stockholders - and remaining fiscally viable? Are you well-positioned to react to an uncertain, but eventual economic turnaround? And, how do manage the trade-offs associated with these uncertainties?
If you are concerned with these questions, then use what follows as your own litmus test to challenge or verify your perceived agility. If you're not too concerned, then hopefully you'll gain some insights on where you can focus your energies to move your organization to a more responsive and agile supply chain network.
What is a Supply Chain?
In order to apply agility to a supply chain, we need to know a little more about what we're dealing with. For purposes of this article, a simplified description of what is needed to make a supply chain work yields the following elements:
- Physical infrastructure
- Organization and people
- Business systems
- Processes, policies and business rules
Most advice on supply chain agility focuses on one or many of these aspects providing enlightened visions of how to make the world better, stronger, faster. While much of this advice is well formed and well intentioned, very little addresses what to do when the purse strings are drawn. Let's take a look at these four factors that make a supply chain tick and see what can be done to improve agility in a capital constrained environment.
Opportunities to Improve Agility
We've all heard the saying "there's no such thing as a free lunch". While, for the most part this may be true, it is also said that you have to "spend a buck to make a buck." Agility improvements don't come for free, but there are areas where you can get substantial returns on your investment and others that just require you to roll up your sleeves. Endeavors related to the 4 factors can vary significantly in cost but that does not imply that one should start seeking improvement in less expensive areas simply because they are less expensive. Rather, focus on areas where you expect the greatest leverage and return, or where you are currently feeling the most pain.
Physical Infrastructure (Network Design)
The physical infrastructure or network design consists of production facilities and equipment, storage and distribution facilities, etc. The agility of a supply chain's physical infrastructure relates to the age old question, "Do you have the right assets in the right place at the right time?" Well, do you? How well does your ability to supply match your projected demand? Do you need to restructure your physical infrastructure to better align supply with demand? The name of the game here is low cost and short lead times. Unfortunately, when it comes to infrastructure, we're usually talking big bucks. The flip side is that the money spent restructuring to improve operational and economic efficiencies has the potential to save far more than you spend.
But how do you know what to do? The best way to accomplish this is through a network design (infrastructure) study. Even a back of the envelope effort can yield target areas for improvement, rough estimates of the magnitude of potential cost reductions or savings, and the anticipated ROI for restructuring physical assets. If the time isn't right for capital improvement, at least you know where your strengths and weaknesses lie, and you can focus on the remaining three factors accordingly.
Organization and People
How important are the people in your Supply Chain Management team to your organization? The answer is often reflected in your organizational philosophy and the mindset of the people within the organization. Does your company promote or inhibit cross-functional communication and decision making? Does your company have consistent objectives from top to bottom that ensure aligned decision making? An agile organization promotes communication through interdisciplinary teams capable of establishing operational and financial objectives good for the organization as a whole. Incentives should be designed to eliminate conflicting objectives and allow functional departments to have a common goal.
Your test for agility here is how quickly information flows to the stakeholders and fuels decisions that can be put into action. The frequency of interactions between product development, marketing, sales and operations must increase to elevate your agility index. If the right people can't congregate to make the right decisions, how can you expect to respond in an expedient, profitable manner? While organizational alignment is not without pain, it does not have to be financially burdensome. To add another cliché, "no pain, no gain."
Business Systems
Business systems include information systems, decision support systems, execution systems, etc. Here are some more questions for you to ponder: Do you know what tools your organization has in place to manage your supply chain? The end game here is decision making and execution. Business systems cover a diverse range of technology and functionality but ultimately their collective purpose is to provide capabilities to collect, store, manage, synthesize and propagate information to promote sound decision making and timely execution of core business activities.
Modern organizations have configured database applications or ERP systems at the core of their business system network, with integrated peripheral systems designed to perform more specific, detailed tasks. In regard to supply chain management, these systems provide tools for operations and finance to plan and manage customer activity, distribution, production, and procurement. Agility is dictated by how flexibly these systems are architected. Software design and integration are key. Do your systems talk to each other? Are data exchanges dynamic and generic or are they fixed and unresponsive?
Are your planning and scheduling systems capable of rapidly responding to shifts in demand, product or process changes, and evolving business priorities? Or are system updates and new integration goals costly and drawn out? If so, you may not be reaching your agility potential.
What can you do? Start with the mindset of "continuous improvement." Business systems should be treated as living entities that require monitoring and nurturing to stay consistent and relevant to an ever-changing business environment. Choose software carefully and put design and maintenance in the hands of those who embrace the philosophy of the Agile Manifesto.
Unfortunately, business systems can also require big dollar investments with ERP systems costing tens or hundreds of millions of dollars. Start your quest by looking for low hanging fruit. Ask yourself, Which decisions make or lose the most money? What information is needed to make sound operational or financial decisions? Is the information current and readily available? Can the information be synthesized to answer the right questions within the necessary timeframe? While many systems are expensive, spreadsheets are not and you'd be surprised at the power of a spreadsheet application embedded in the right set of business processes.
Processes, Policies and Business Rules
Here is where you can make a big impact without breaking the bank. If your situation is not conducive to infrastructure or business system reengineering, consider improving the way you make use of what you already have in place. The process, policies and business rules that govern a supply chain's behavior are referred to here as Supply Chain Management (SCM), as opposed to supply chain management software which falls under the business systems umbrella. Here we refer to the processes which make use of said software and the set of business constraints that guide decision making.
SCM processes usually take the form of strategic and tactical planning, scheduling and execution. They address the links in the supply chain from supplier to customer (in some instances supplier's suppliers and customer's customers). Agility is enhanced through vertical and horizontal process integration as well as decision propagation to other parts of the organization.
Vertical integration is how well connected your business processes are from strategic planning to execution. Does your organization connect these functions? How well do stakeholders follow the plan? How realistic is the plan? To become vertically agile, the first step is to align the frequency of each planning process with the frequency the issues addressed by that process significantly change. Second, information exchange, or feedback loops, must be bi-directional and immediate.
For example, if demand is highly uncertain, an S&OP (Sales and Operations Planning) process should capture the changes and reflect the consequential changes to distribution, sourcing and production. These needs are then conveyed to transportation and production to make the necessary routing and scheduling adjustments. Conversely, real time dynamic constraints recognized by these lower level functions should be communicated back to planning to alter sourcing plans if necessary.
Vertical integration promotes a responsive system with the agility to handle uncertainty at the customer or supplier end of the supply chain, as well as points in between.
Horizontal integration ensures the integrity of the supply "chain." Procurement, production, distribution and sales are not independent activities. The processes that govern these activities should not be treated independently either.
Horizontally integrated processes allow visibility into the "ripple effect" that decisions or actions in one "link" of the supply chain have on preceding or subsequent activities. Horizontal agility is the ability to anticipate and manage consequences before they happen. While agile SCM business systems are designed to be reactive, agile SCM processes should be proactive so that business users spend their energies avoiding unwanted situations instead of fire fighting.
Policies and business rules determine everything from customer priorities to re-order points and policies, batch sizing to procurement policies. It is these policies, when applied in the planning processes, that influence your actual customer service levels, inventory levels, production line or asset utilization, and purchase material availability. The execution and adherence to these policies directly relates to your unit costs and profitability.
This can be a good thing or a bad thing. If your processes, policies and rules stay fixed, then they will not reflect changing business conditions. To attain high levels of agility, a policy of continuous review is necessary.
Start with knowing your customers, since without them you wouldn't be in business. Review high cost activities on a regular basis to ensure the policies driving decision making are relevant and cost effective to your customer service goals.
Business process integration and a continuous review philosophy don't cost much to implement but they can have a huge impact on your bottom line. What they do require, however, is discipline. If economic conditions do not allow for necessary physical infrastructure or business system alterations, then a methodical, disciplined approach to execute the supply chain's governing business processes will put you in control of your supply chain's agility.
At Profit Point, we understand supply chains and we're mindful of your supply chain needs. Contact us to see how we can help you reach your agility potential.
This article was written by John Muckstadt, Profit Point's Infrastructure Planning Practice Leader.
To learn more about our supply chain network design services, contact us here or call (866) 347-1130.
Labels: Infrastructure Planning, John Muckstadt, Network Design, Supply Chain Agility, Supply Chain Intelligence
Wednesday, July 15, 2009
More Than Half of Supply Chains are Contracting
Supply chain design and infrastructure planning during economic expansions is a commonly accepted best practice within the community of logistics professionals. An often overlooked, but equally critical set of supply chain issues arise during economic contractions.

So in an effort to understand what concerns decision makers are presently experiencing, Profit Point conducted an informal survey of more than 140 logistics professionals worldwide. The survey results indicate that more than 40% of all respondents have plans to expand, rather than contractor their supply chain networks within the next two years.


It is worth noting that the smallest companies surveyed - those with $100 million or less in annual revenue - are experiencing the largest contractions. Conversely, 57% of the surveyed medium-sized companies (annual revenues ranging from $100-500 million) are expanding, not contracting.
To learn more about how Profit Point can help your supply chain expand or contract to meet your future needs, contact us.
Labels: Infrastructure Planning, Risk Management, SC Operations Planning, Supply Chain Intelligence
Friday, June 05, 2009
Understanding Your Risks with Monte Carlos
What is a Monte Carlo model and what good is it? We’re not talking a type of car produced by General Motors under the Chevy nameplate. “Monte Carlo” is the name of a type of mathematical computer model. A Monte Carlo is merely a tool for figuring out how risky some particular situation is. It is a method to answer a question like: “what are the odds that such-and-such event will happen”. Now a good statistician can calculate an answer to this kind of question when the circumstances are simple or if the system that you’re dealing with doesn’t have a lot of forces that work together to give the final result. But when you’re faced with a complicated situation that has several processes that interact with each other, and where luck or chance determines the outcome of each, then calculating the odds for how the whole system behaves can be a very difficult task.Let’s just get some jargon out of the way. To be a little more technical, any process which has a range of possible outcomes and where luck is what ultimately determines the actual result is called “stochastic”, “random” or “probabilistic”. Flipping a coin or rolling dice are simple examples. And a “stochastic system” would be two or more of these probabilistic events that interact.
Imagine that the system you’re interested in is a chemical or pharmaceutical plant where to produce one batch of material requires a mixing and a drying step. Suppose there are 3 mixers and 5 dryers that function completely independent of one another; the department uses a ‘pool concept’ where any batch can use any available mixer and any available dryer. However, since there is not enough room in the area, if a batch completes mixing but there is no dryer available, then the material must sit in the mixer and wait. Thus the mixer can’t be used for any other production. Finally, there are 20 different materials that are produced in this department, and each of them can have a different average mixing and drying time.
Now assume that the graph of the process times for each of the 8 machines looks somewhat like what’s called a ‘bell-shaped curve’. This graph, with it’s highest point (at the average) right in the middle and the left and right sides are mirror images of each other, is known as a Normal Distribution. But because of the nature of the technology and the machines having different ages, the “bells” aren’t really centered; their average values are pulled to the left or right so the bell is actually a little skewed to one side or the other. (Therefore, these process times are really not Normally distributed.)
If you’re trying to analyze this department, the fact that the equipment is treated as a pooled resource means it’s not a straightforward calculation to determine the average length of time required to mix and dry one batch of a certain product. And complicating the effort would be the fact that the answer depends on how many other batches are then in the department and what products they are. If you’re trying to modify the configuration of the department, maybe make changes to the scheduling policies or procedures, or add/change the material handling equipment that moves supplies to and from this department, a Monte Carlo model would be the best approach to performing the analysis.
In a Monte Carlo simulation of this manufacturing operation, the model would have a clock and a ‘to-do’ list of the next events that would occur as batches are processed through the unit. The first events to go onto this list would be requests to start a batch, i.e. the paperwork that directs or initiates production. The order and timing for the appearance of these batches at the department’s front-door could either be random or might be a pre-defined production schedule that is an input to the model.
The model “knows” the rules of how material is processed from a command to produce through the various steps in manufacturing and it keeps track of the status (empty and available, busy mixing/drying, possibly blocked from emptying a finished batch, etc.) of all the equipment. And the program also follows the progress and location of each batch. The model has a simulated clock, which keeps moving ahead and as it does, batches move through the equipment according to the policies and logic that it’s been given. Each batch moves from the initial request stage to being mixed, dried and then out the back-door. At any given point in simulated time, if there is no equipment available for the next step, then the batch waits (and if it has just completed mixing it might prevent another batch from being started).
What sets a Monte Carlo model apart however is that when the program needs to make a decision or perform an action where the outcome is a matter of chance, it has the ability to essentially roll a pair of dice (or flip a coin, or “choose straws”) in order to determine the specific outcome. In fact, since rolling dice means that each number has an equal chance of “coming up”, a Monte Carlo model actually contains equations known as “probability distributions”, which will pick a result where certain outcomes have more or less likelihood of occurrence. It’s through the use of these distributions, that we can accurately reflect those skewed non-Normal process times of the equipment in the manufacturing department.
The really cool thing about these distributions is that if the Monte Carlo uses the same distribution repeatedly, it might get a different result each time simply due to the random nature of the process. Suppose that the graph below represents the range of values for the process time of material XYZ (one of the 20 products) in one of the mixers. Notice how the middle of the ‘bell’ is off-center to the right (it’s skewed to the right).

So if the model makes several repeated calls to the probability distribution equation for this graph, sometimes the result will be the 2.0-2.5 hrs, other times 3.5-4.0 hrs, and on some occasions >4hrs. But in the long run, over many repetitions of this distribution, the proportion of times for each of the time bands will be the values that are in the graph (5%, 10%, 15%, 20%, etc.) and were used to define the equation.
So to come back to the manufacturing simulation, as the model moves batches through production, when it needs to determine how much time will be required for a particular mixer or dryer, it runs the appropriate probability equation and gets back a certain process time. In the computer’s memory, the batch will continue to occupy the machine (and the machine’s status will be busy) until the simulation clock gets to the correct time when the process duration has completed. Then the model will check the next step required for the batch and it will move it to the proper equipment (if there is one available) or out of the department all together.
In this way then, the model would continue to process batches until it either ran out of batches in the production schedule that was an input, or until the simulation clock reached some pre-set stopping point. During the course of one run, the computer would have been monitoring the process and recording in memory whatever statistics were relevant to the goal of the analysis. For example, the model might have kept track of the amount of time that certain equipment was blocked from emptying XYZ to the next step. Or if the aim of the project was to calculate the average length of time to produce a batch, the model would have been following the overall duration of each batch from start to finish in the simulated department.
The results from just one run of the Monte Carlo model however are not sufficient to be used as a basis for any decisions. The reason for this is the fact that this is a stochastic system where chance determines the outcome. We can’t really rely on just one set of results, because just through the “luck of the draw” the process times that were picked by those probability distribution equations might have been generally on the high or low side. So the model is run repeatedly some pre-set number of repetitions, say 100 or 500, and results of each of these is saved.
Once all of the Monte Carlo simulations have been accumulated, it’s possible to make certain conclusions. For example, it might turn out that the overall process time through the department was 10 hrs or more on 8% of the times. Or the average length of blocked time, when batches are prevented from moving to the next stage because there was no available equipment, was 12 hrs; or that the amount of blocked time was 15hrs or more on 15% of the simulations.
With information like this, a decision maker would be able to weigh the advantages of adding/changing specific items of equipment as well as modifications to the department’s policies, procedures, or even computer systems. In a larger more complicated system, a Monte Carlo model such as the one outlined here, could help to decrease the overall plant throughput time significantly. At some pharmaceutical plants for instance, where raw materials can be extremely high valued, decreasing the overall throughput time by 30% to 40% would represent a large and very real savings in the value of the work in process inventory.
Hopefully, this discussion has helped to clarify just what a Monte Carlo model is, and how it is built. This kind of model accounts for the fundamental variability that is present is almost all decision making. It does not eliminate risk or prevent a worst-case scenario from actually occurring. Nor does it guarantee a best-case outcome either. But it does give the business manager added insight into what can go wrong or right and the best ways to handle the inherent variability of a process.
This article was written by John Hughes, Profit Point's Production Scheduling Practice Leader.
To learn more about our supply chain optimization services, contact us here.
Labels: Enterprise Resource Planning, Infrastructure Planning, John Hughes, Operations Research, Optimization, Risk Management, SC Operations Planning, Scheduling
Monday, April 20, 2009
EPA Sets the Stage for a Green Supply Chain Mandate
Climate change – or global warming – and the effort to curb the impact of human activities thought to contribute to it – are continuously becoming a higher priority on the agendas of governments, commercial and non-governmental organizations and individuals around the world. In the United States of America the Environmental Protection Agency, the main federal government environmental watchdog and regulator, recently issued a report finding that projected future levels of greenhouse gases (GHGs) "endanger the public health and welfare of current and future generations", setting the stage for a more intense GHG regulatory regime in the future in a country that has lagged behind imposing the regulatory restraints now in place in many other parts of the world.A combination of internal and external factors have motivated many companies to work towards better measurement, and control, of their impact on the environment, whether in the areas generation of greenhouse gasses, emission of waste water and other effluents or consumption of renewable and non-renewable resources. But as always, companies need to ensure that they make changes in their activities in a cost-effective, as well as environmentally-effective, manner. We at Profit Point recognize the need to do this, and are working with our clients to help them make the best decisions in this regard.
Our Profit Network supply chain planning software has helped various clients make such decisions as:
- how do we consolidate separate distribution systems after a merger of two organizations, or
- where to produce and how to ship new products coming into the marketplace?
However, Profit Network is capable of taking into account not only the cost of such plans, but also the environmental impact. We recently worked with a client who had significant environmental constraints at both the entrance to and exit from their factories – they had significant limits on the amount of source water (a key raw material required for their manufacturing) that they could draw from surface and underground sources, and also had constraints at many facilities regarding the amount for waste water they could dispose of. Both of these constraints varied over the course of the year and geographically over the service territory. Using Profit Network they were able to see the cost and production location impact of the environmental constraints, and make choices regarding how to respond to their situation.
Another major concern of companies is their levels of emissions of greenhouse gasses. A major corporation in the United States of America recently announced that it was working to reduce its GHG impact through
- Retiring less efficient and higher-emitting production facilities;
- Reducing leakage of GHGs from its production and distribution systems;
- Increasing energy efficiency in its buildings;
- Increasing the fuel efficiency of its vehicle fleet.
Profit Point is here to help our clients make better decisions – this includes making better decisions regarding the many environmental choices that companies have in today’s increasingly regulated environment.
This article was written by Dr. Gene Ramsay, Profit Point's Infrastructure Planning Practice Leader. To learn more about designing a sustainable supply, contact us here.
Author's Notes:
1. Reference for the company mentioned in the text above: http://www.eponline.com/articles/71680/.
2. Reference for the EPA announcement: http://www.mercurynews.com/politics/ci_12168524.
Labels: Green Network, Green Optimization, Infrastructure Planning, Sustainability
Monday, April 13, 2009
Tactics for Staying Profitable in 2009
determines 75-80% of your total supply chain costs."
Profit Point's supply chain consultants have seen decades of economic boom and bust. Learn about the essential steps that you can take today to cut costs in the near term and prepare for future economic scenarios. Click the link below to access our new white paper:
Labels: Infrastructure Planning, Supply Chain Intelligence, White Papers
Tuesday, October 21, 2008
What Decision Makers Should Know About Infrastructure Planning
determines 75-80% of your total supply chain costs.
Therefore, it is the biggest opportunity
to reduce those costs."
The opportunity to improve your infrastructure and design your supply chain network only comes along once in a while. But, our supply chain consultants are optimizing supply chain networks every day. So, we've seen the pitfalls and the opportunities that face decision makers when they make critical infrastructure investments.
What else should you know before your begin designing your network? We've compiled a list of the top 10 things that supply chain and manufacturing executives should consider before undertaking any significant infrastructure investments. Complete the the short form below to receive the complete list of things you should know about supply chain planning.
Download a copy of 10 Things to Know About Infrastructure Planning.
Labels: Infrastructure Planning, Optimization, Supply Chain Intelligence, White Papers
Monday, September 29, 2008
Can you be green and profitable?
This month's cover story in the CSCMP's Supply Chain Quarterly magazine feature's an excellent article written by Profit Point's Green Optimization Practice Leader, Ted Schaefer, and the firm's President, Dr. Alan Kosansky.The article, Can you be green and profitable?, deals with two competing, yet critical issues that face supply chain managers across the globe. As the authors point out, "profitability and sustainability don't have to be mutually exclusive. By considering environmental issues when setting financial objectives for a supply chain network analysis, companies can successfully balance the trade-offs between them."
You can read the complete article here.
If you would like to learn more about our Green Supply Chain Optimization services please contact us.
Labels: Green Network, Green Optimization, Infrastructure Planning, Optimization, Publications, SC Operations Planning, Sustainability
Wednesday, August 13, 2008
Reconnecting With Your Network: Profit Point Consultants Published in Outsourced Logisitics

Dr. Alan Kosansky, Profit Point's President, and Ted Schaefer, the company's Infrastructure Planning Practice Leader, are featured in this month's issue of Outsourced Logistics Magazine.
The article, titled Reconnecting With Your Network, reviews the assumptions that motivated the recent shift towards offshoring and the global market changes that have occurred since.
The rush to reduce costs in manufacturing and procurement fueled a surge in outsourcing and offshoring over the last decade that has almost taken on a life of its own. While "low cost" manufacturing has proven a compelling factor, new evidence supports a more detailed understanding of a products total delivered cost.
Read the complete article here.
To learn more about how Profit Point's supply chain consultants can help improve your supply chain network and infrastructure, contact us here:
(866) 347-1130 or
(435) 487-9141
Labels: Case Study, China, Infrastructure Planning, Offshoring, Publications, Supply Chain Intelligence
Tuesday, May 06, 2008
Swire Beverages Expands Relationship with Profit Point to Optimize its Rapidly Expanding and Changing Manufacturing and Distribution Infrastructure
Swire Beverages, the largest Coca-Cola bottling and distribution franchise in Mainland China will employ more Profit Point infrastructure planning software licenses.North Brookfield, MA (PRWEB) May 7, 2008 -- Profit Point today announced that its Profit NetworkTM infrastructure planning software, already in use for 3 years to optimize Swire Beverage's distribution network throughout China, will be expanded to cover the needs of the operations. Swire Beverages is an anchor bottling franchise of The Coca-Cola Company with bottling operations in 7 provinces in Mainland China, Taiwan, Hong Kong and 10 states in the U.S. The Mainland China market is experiencing significant growth in demand for its products, which has in turn increased pressure on its bottling operations. Sales volume increased 20% in 2007 to exceed 500 million unit cases for Swire Beverages' Mainland China operations. The population in Swire's Mainland China territory is over 400 million. Swire will rely upon Profit Point's proven network optimization software to model infrastructure plans, test projected demand scenarios and maximize its return on infrastructure investments.
"Executing our Customer Service Policy is essential in Mainland China," said Douglas Holland, Swire's General Manager of Sales Operations in Mainland China. "Our infrastructure decisions must support the fast changing conditions in the marketplace. Our significant volume shifts by geography and by channel, create a daunting task for our operations to keep pace. And our distribution network design must be based upon clear visibility into our projected growth scenarios and the related impact on our distribution network. With our use of the tool Profit Network, we are able to develop least cost or most profit scenarios from our raw materials suppliers all the way through to our end retail outlets, including support for deciding when we should distribute our products via indirect channels, such as wholesalers and 3rd party distribution partners."
Profit Network is a robust application that helps decision maker optimize their supply chain for maximum profitability. The proven optimization tool is a stand-alone planning software package that is used to analyze the placement and location of production facilities, distribution centers, and warehouses over a multi-period planning horizon. The system is often used to help firms restructure their supply chains after mergers, periods of rapid growth and in anticipation of geographic or product preference shifts in the market.
"Infrastructure planning for a rapidly-growing operation like Swire is an extremely important process and involves significant mid and long-term investments," said Jim Piermarini, Profit Point's CEO. "The infrastructure solutions that we develop using Profit Network will allow Swire to make effective management decisions, reconfigure bottling operations as demand shifts, implement new business processes and realign resources."
Although the resource investments in value chain network design are significant, the return from an implementation of an optimized infrastructure study can be substantial. "We knew that the choices that we were making today will have a long-term impact on our business success, which is measured, both from a customer service level and cost perspective," said Holland. "Profit Point brings a compelling combination of optimization software and training experts which allow us to effectively manage the process and gain the greatest benefit from our network design. We initially selected and implemented Profit Network in 2005 focusing mostly on Distribution. Today and in the future we are adding more resources into the Profit Network enabled process to incorporate our entire value chain including manufacturing capacity planning, production line and plant locations."
About Profit Point:
Profit Point Inc. was founded in 1995 and is now a global leader in supply chain optimization. The company's team of supply chain consultants includes industry leaders in the fields infrastructure planning, green operations, supply chain planning, distribution, scheduling, transportation, warehouse improvement and business optimization. Profit Point's has combined software and service solutions that have been successfully applied across a breadth of industries and by a diverse set of companies, including The Coca-Cola Company, General Electric, Rohm and Haas and Toyota.
About Swire Beverages:
Swire Beverages has the franchise to manufacture market and distribute the products of The Coca-Cola Company in Hong Kong and Taiwan, 10 states in the USA and seven provinces in Mainland China. This represents a total franchise population of over 440 million. Swire Beverages is recognized as one of a select group of strategic business partners of The Coca-Cola Company known as the "Anchor Bottlers". Swire works closely with The Coca-Cola Company on brand development and marketing.
To learn more about how Profit Point's supply chain consultants can help optimize your supply chain, contact us here:
(866) 347-1130 or
(435) 487-9141
Labels: China, Infrastructure Planning, Press Releases, Profit Network
Friday, May 02, 2008
Ted Schaefer Featured on Better Process Podcast
The Better Process Podcast, an industry show that discusses lean manufacturing news, today featured Ted Schaefer, Profit Point's Director of Logistics and Supply Chain Services. The show is hosted by Ken Rayment, a manufacturing engineer and Six Sigma Black Belt.The interview covered a range of topics addressing the challenges that small and mid-size manufacturing firms are facing today, including rising energy costs and increasing competition overseas. The show also highlighted several manufacturing paradigm shifts such as rising wages in China and India and greening supply chains, which are causing manufacturers to reconsider various aspects of their production and distribution processes.
The discussion included a number of recommendations that manufacturers ought to consider, including approaches toward making quantitative trade-offs and the application of optimization techniques to find the lowest total cost for manufacturing.
Listen to the interview here
To learn more about how Profit Point's supply chain consultants can help optimize your supply chain, contact us here: (866) 347-1130 or
(435) 487-9141
Labels: Green Optimization, Infrastructure Planning, Supply Chain Intelligence
Friday, February 08, 2008
Improving your Infrastructure Plan with Real Estate Data
Businesses that adapt well to changing economic conditions begin by continually reviewing and updating the core infrastructure - manufacturing, warehousing and distribution assets - that enables their supply chain. If your company is experiencing strong growth, you may discover that your infrastructure is inadequate to meet your growing customer demands. If your company is impacted by the current economic slowdown, you may find that you have too much infrastructure. If you are like many companies operating globally, you will probably find that in some parts of the globe your infrastructure is inadequate, while in other parts of the globe you have excess infrastructure that is going unused and increasing your costs unnecessarily.


Supply chain infrastructure planning is a business process used by the most profitable companies to ensure their supply chain infrastructure of manufacturing, warehousing and distribution assets is the right size, in the right location, and being used to deliver the right products. This relatively easy to implement and cost effective process relies on five key steps:
1) Clearly define your objectives. The most critical step of the infrastructure planning process is to identify your primary objectives. A partial list of critical decisions you might consider is:
- How many warehouses do I need and where should they be located?
- Which warehouses should supply product to which customers?
- What modes of transportation should be used to balance cost and customer service objectives?
- Where should I be increasing production capacity, and where should I be decreasing it?
- Which manufacturing plants should be making product for which customers/warehouses?
2) Gather supporting data. In order to make intelligent decisions, you need solid data to support those decisions. This step is usually the most time consuming part of the process. However, new resources such as the Crestar Alliance's global real estate data enable you to quickly and easily acquire more reliable data. These data sources allow you to identify real locations with real costs and operating constraints so that you know your decision making is based on current costs and availabilities. Often companies use cost estimates and assume they can find the specialized warehouse operations they need wherever they want, only to be disappointed when they try to implement the planning decision made by a central business group.
3) Model and analyze your supply chain network. Today's technology can help you make better decisions as there are many vendors offering supply chain network optimization tools. Whether you implement software yourself, or rely on experienced supply chain optimization expertise to assist with the analysis, make sure the software you select fully addresses the decisions you need to make and can represent your unique business and logistics network.
There is no silver bullet to optimizing your network. Using supply chain optimization tools to make better decisions for your business requires good old-fashioned analysis. Relying on people to leverage the benefits of technology is the path to success. A good supply chain analyst will be both an expert about your business and an expert with the supporting technology. They will need to review many “what if” scenarios with the business management to finalize the supply chain network design.
4) Implement. You've explored your options and determined the best supply infrastructure to support your business operations. Now you need to execute. If your initial analysis was based on broad estimates and over-simplifying assumptions you may have problems finding the infrastructure on the ground that you need to implement your plan. However, if you used real costs and operating capabilities, for real locations you will be able to implement faster, with less cost
and with confidence.
5) Refine. The supply chain network analysis and design process is not a static process. Successful ideas are implemented and cost savings are realized. And then things change: a large new customer is added at a new location, more production capacity is added, demand takes a nosedive, or raw material prices swing dramatically. Thus, like all good planning processes, the supply chain network analysis and design process must be on going. This process should be revisited regularly (annually or quarterly) and/or when major shifts happen within the business.
How do you measure the success of this business process? Firstly, it must generate bottom line savings in your supply chain operations. Secondly, the business process must embed itself firmly in the corporate culture. Treating supply chain infrastructure analysis as a one-time effort limits your business from fully reaping the fruits of your labor.
Those businesses that integrate the supply chain infrastructure planning process into their corporate culture will reap the benefits of efficient and focused logistics operations year after year.
Labels: Infrastructure Planning, Supply Chain Intelligence
Tuesday, December 11, 2007
Infrastructure Planning at a Coca-Cola Bottler

Coca-Cola HBC (CCHBC) holds the franchise to bottle Coca-Cola products in most of Eastern Europe, as well as in Austria, Switzerland, Italy, Ireland, Nigeria and other parts of the world. They needed a tool to help them to make better infrastructure planning decisions, and, after evaluating a number of alternative software packages and vendors, they purchased Profit Point's Profit Network software. CCHBC uses Profit Network whenever they want to make new investment decisions within their large territory - this story describes one of those studies.
In addition to carbonated soft drinks, CCHBC produces energy, fruit and juice drinks in aseptic and related packaging. Aseptic packaging, which the consumer often sees in the form of boxes or pouches in addition to bottles, is used for products that might deteriorate when packaged in standard container types. With an aseptic process the package is sterile when receiving the food, and the food product is also sterile when it goes into the package. This means that the drink will be safe for consumption when stored at ambient temperature for months or years without the addition of preservatives.
Aseptically-packaged drinks is one of the fastest growing segments of CCHBC's market, and as a result they needed to plan for how to meet this growing demand - through:
- expanded capacity at one or more of their existing plants,
- construction or purchase of an additional facility,
- purchase of product from some other manufacturer, or
- another means.
Profit Network enabled them to perform this analysis in a quick and efficient manner.
CCHBC gathered the required data for the study, such as the demand forecast, current production capacity, potential locations for new production lines and transportation costs for products from one point to another. CCHBC and Profit Point worked together to build a baseline model (modeling the existing infrastructure), and then enlarge that to look at several alternative capacity expansion locations.
As a result of this process CCHBC identified the best locations at which to expand their production capacity. They went to the next phase of their capital expansion process, where they developed detailed expansion plans for those plants, confident that they were the right places.
To learn more about how Profit Point can help you get the most out of your Supply Chain Infrastructure Planning, call us at (866) 347-1130 or send us an email.
Labels: Infrastructure Planning, Profit Network
Sunday, October 21, 2007
Coca-Cola Philippines Network Design
Coca-Cola in the Philippines (CCBPI), with the help of Profit NetworkTM, our supply chain design software, rationalized their existing supply chain network of production facilities and distribution assets to reduce costs by $20 million dollars. Using Profit Network™, Coca-Cola is able to continually evaluate their infrastructure in the Philippines and ensure they will continue to meet their growing demand with the lowest production and distribution cost.
Read a summary case study about the Coca-Cola Philippines infrastructure plan.
Labels: Case Study, Infrastructure Planning, Philippines, Supply Chain Software
Wednesday, October 20, 2004
Carlisle SynTec's Infrastructure Planning Study

Profit Point developed an optimization model to trade off transportation and warehousing costs while meeting product demand. The model included the top 100 distribution locations in the US along with Carlisle's existing warehouse sites as potential locations for the model to consider.
Profit Point was able to identify achievable annual savings of $1 million by showing them how to use their existing network more efficiently and by adding one new warehouse location next to the new manufacturing plant being built. The model showed that Carlisle's existing warehouses were located in desirable areas regarding operating cost and proximity to vendor, manufacturing and customer locations, but also identified business changes to the way Carlisle manages their inventory at several warehouses, allowing them to realize larger savings. The study also confirmed which new manufacturing plant location out of several candidates was the most cost efficient in regards to transportation costs.
"Profit Point did not come to Carlisle with a pre-determined answer to our logistics issues. They did an excellent job of listening to our needs, working with our personnel to extract the necessary information, and formulating recommendations to reduce our costs." said Bob Stout, Vice President in charge of Purchasing and Logistics at Carlisle SynTec Inc.
To learn more about how Profit Point can help you get the most out of your Supply Chain Infrastructure Planning, call us at (866) 347-1130 or send us an email.
Labels: Distribution, Infrastructure Planning, Inventory Management, Optimization, Press Releases, Transportation, Warehouse Optimization
Thursday, April 01, 2004
Infrastructure Planning with Profit Network
Profit Network allows the user to model their existing or proposed supply chain for a geographic
area, with its locations, flow limits and costs. Input data include raw material sources and costs, plant locations, plant production rates and costs, warehouse and distribution center locations and costs and customer locations and anticipated demand. You will be able to solve detailed supply chain network design problems in a few moments with optimal results.Profit Point has both delivered this product to clients and used it on
Supply Chain consulting engagements. This proprietary tool is now available for delivery and use at your company.To learn more about Profit Network, go to: http://www.profitpt.com/profit_network.asp
To learn more about how Profit Point can help you get the most out of your Supply Chain Infrastructure Planning, call us at (866) 347-1130 or send us an email.
Labels: Asset Utilization, Distribution, Infrastructure Planning, Optimization, Press Releases, Profit Network, Transportation, Warehouse Optimization
Thursday, December 18, 2003
5 Steps to Design a Supply Chain Network
You're patting yourself on the back. You've sorted through the Marine Shipping chaos. In the face of volatile Marine Transportation rates, you just negotiated great prices to transport your North American produced bulk liquid via tank containers to ten Pacific region countries. The contracts are signed and locked in for the next year, holding costs to a known level. A month later you discover there may be a better way. Rather than transport your bulk liquid separately to each of your ten Pacific region customers, you can send all the product on a parcel tanker to a terminal in Singapore, drum it, and ship the drums from Singapore to each of your customers. And you can do this at considerable savings without a reduction in customer service. You looked at so many options, why didn't you consider this one?
How do you make sure your business is aiming before it fires? The business process of supply chain network analysis and design will help you ensure that you are using the best modes of transportation, the best routes, and the right mix of intermediate assets (e.g. storage, inventory, etc.), to get your products where they need to be to meet your business goals. And the icing on the cake is that it is a relatively easy and cost effective process.
So how does it work? Here is a proven process to design a supply chain network that best meets your business objectives.
1) Clearly define your objectives. No logistics manager is likely to improve all aspects of their logistic and distribution network all at once. The most critical step of the network analysis and design process is to identify your primary objectives. A partial list of critical decisions you might consider is:
- What level of customer service does my market demand?
- What modes of transportation should be used to balance cost vs customer service objectives?
- Which warehouses should supply product to which customers?
- How many warehouses do I need and where should they be located?
- Where should inventory be stored and how much inventory should I be carrying of each product?
- Which manufacturing plants should be making product for which customers/warehouses?
- What routes should I be using to get product from source to destination?
- Are there opportunities for pooling resources that have been overlooked?
2) Gather supporting data. In order to make intelligent decisions, you need solid data to support those decisions. This step is usually the most time consuming part of the process. The good news is that the data is available and reusable. Most likely it exists in your new ERP or legacy system. Typical data elements include: demand by product and container type, transportation rates, transportation lead times, warehousing costs (both fixed and variable costs), and inventory costs. If your objectives include determining the manufacturing source of products, you will also need data like manufacturing and raw material costs.
3) Model your supply chain network. Today's technology can help you make better decisions as there are many vendors offering supply chain network optimization tools. Alternatively, you can cost efficiently configure your own. Choose wisely, as all software is not created equal. Make sure the software you select fully addresses the decisions you need to make and can represent your unique business and logistics network. Typical model components include capacity limitations, customer service requirements, lead times by mode, operating capabilities and the cost of different options.
4) Analyze your supply chain network. There is no silver bullet. Using supply chain optimization tools to make better decisions for your business requires good old-fashioned analysis. Relying on people to leverage the benefits of technology is the path to success. A good supply chain analyst will be both an expert about your business and an expert with the supporting technology. They will need to review many "what if" scenarios with the business management to finalize the supply chain network design.
5) Implement and refine. The supply chain network analysis and design process is not a static process. Successful ideas are implemented and cost savings are realized. And then things change: a large new customer is added at a new location, more production capacity is added, demand takes a nosedive, or raw material prices swing dramatically. Thus, like all good planning processes, the supply chain network analysis and design process must be on going. This process should be revisited regularly (annually/quarterly,) and/or when big things happen within the business.
How do you measure the success of this business process? Firstly, it must generate bottom line savings in your supply chain operations. Secondly, the business process must embed itself firmly in the corporate culture. Treating supply chain analysis as a one-time effort limits your business from fully reaping the fruits of your labor.
"Although we have achieved cost savings between 4% and 11% of our total logistics costs in our network designs, the biggest value that we've seen from this type of analysis is a common understanding of the delivery chain among Manufacturing, Marketing, Sales, Logistics, and Planning. This common understanding of cost and customer service trade-offs results from the more complete "picture" of the network that emerges from this analysis and the ability to churn out "what-if" analysis to cover most credible business scenarios. It is this understanding and the ability to quickly understand and exploit changes in the market that is the enduring value of a continuing network analysis process", says Ted Schaefer, Global Logistics Strategy & Design Manager at the Rohm and Haas Company.
Those businesses that integrate the supply chain network analysis and design process into their corporate culture will reap the benefits of efficient and focused logistics operations year after year. With a process like this in place you can be assured that you aim before you fire.
Dr. Alan Kosansky received his Doctorate in Applied Mathematics from The Johns Hopkins University in 1991. He is the co-founder and president of Profit Point Inc. He has taught at Villanova University and has shared his expertise at many national conferences. Dr. Kosansky has pioneered the application of advanced analytic techniques to transportation procurement, dynamic scheduling, supply chain management and financial optimization. His methods have repeatedly helped manufacturers to reduce their transportation, manufacturing, and inventory costs, and businesses to realize higher profits.
Ted Schaefer is the Global Logistics Strategy & Design Manager at the Rohm and Haas Company. He has been with Rohm and Haas for 18 years, spending the last 12 years in the operation or redesign of various segments of the Company's Supply Chains. He has done network analysis and designs for the Rohm and Haas Monomers Business in North America, Europe, and Asia. He is a member of the Council of Logistics Management and APICS.
To learn more about how Profit Point can help you get the most out of your Supply Chain Infrastructure Planning, call us at (866) 347-1130 or send us an email.
Labels: Infrastructure Planning, SC Operations Planning, Supply Chain Intelligence





