Solving lot sizing problem with dynamic programming based on the shortest path of network flow. Holding cost, ordering cost and raw material cost are variable. The special characteristic of this algorithm run on problem with zero demand, while Wagner-Whitin algorithm does not certainly compute.
Warut Boonphakdee (2020). Dynamic Programming for solving lot sizing with varying cost (https://www.mathworks.com/matlabcentral/fileexchange/74528-dynamic-programming-for-solving-lot-sizing-with-varying-cost), MATLAB Central File Exchange. Retrieved .
Add how to put data in this code and explain the solution mation
When demand to be zeros , this algorithm can be effectively solved