Using Advanced Supply Chain Analytics Technologies to Avoid the CFO Zombie Apocalypse
November 10th, 2011 6:46 pm Category: Enterprise Resource Planning, Global Supply Chain, Network Design, Operations Research, Optimization, Optimization Software, SAP Integration, Supply Chain Agility, Supply Chain Improvement, Supply Chain Planning, Sustainability, by: Richard Guy
The rise of zombies in pop culture has given credence to the idea that a zombie apocalypse could happen. In a CFO zombie scenario, CFO’s would take over entire companies, roaming the halls eating anything living that got in their way. They would target the brains of supply chain managers and operations people. The proliferation of this idea has led many business people to wonder “How do I avoid a CFO zombie apocalypse?”
Supply chain managers are seeking and developing new and improved ways to exploit the volumes of data available from their ERP systems. They are choosing advanced analytics technologies to understand and design efficient sustainable supply chains. These advanced analytics technologies rely on the use of optimization technology. I am using the mathematical concept of “optimization” as opposed to non-mathematical process of making something better.
Mathematical optimization technology is at the heart of more than a few supply chain software applications. These applications “optimize” some process or decision. Optimization-base programs, for example, those frequently found in strategic supply chain network planning, factory scheduling, sales and operations planning and transportation logistics use well-known mathematical techniques such as linear programming to scientifically determine the “best” result. That “best solution” is usually defined as minimizing or maximizing a single, specific variable, such as cost or profit. However, in many cases the best solution must account for a number of variables or constraints. Advanced analytics technologies can improve a company’s bottom line – and it can improve revenue, too! CFO’s like this.
Advanced analytics technologies provide easy-to-use, optimization-based decision support solutions to solve complex supply chain and production problems. And, these solutions can help companies quickly determine how to most effectively use limited resources and exploit opportunities.
So, from my perspective, there are seven practical reasons to embrace advanced analytics technologies:
- Your company saves money, increases profits.
- You get to use all your ERP system’s data.
- It’s straightforward and uncomplicated.
- You have the tools to discover great ideas and make better decisions.
- At the end of the day, you know the total cost of those decisions.
- You have a roadmap to make changes.
- You avoid the CFO zombie apocalypse