Is there evidence that Optimization and Mathematical Programming Technology will become dominant in the scheduling and planning area?
Many companies that offer scheduling and planning tools also offer tools that are geared for supply chain applications. Notice that these tools are almost always based on linear programming approaches and sometimes use mixed integer linear programs with a small number of integer variables. Given the number of similarities between supply chain and more detailed scheduling and planning applications, one would expect that mathematical programming would also be successful on the more detailed scheduling problems. The predominant reason that mathematical programming is not applied is that translating the successful solution methods from the supply chain to the more detailed level requires a significant skill base and investment of time on the part of a vendor.
Related Questions
- Why have optimization and mathematical programming based approaches not been used in the past for scheduling and planning applications?
- What is the mathematical programming approach for solving scheduling and planning problems?
- Can anybody suggest good reference material on IT / Technology Network Planning & Optimization?
