Evolutionary techniques for inventory lot sizing and supplier selection with multiple levels, multiple items, multiple periods

In this paper evolutionary algorithms are applied for multi item, multi-level, multi time period inventory lot sizing problem with supplier selection. the objective of the problem is to find optimum lot size for considered general product structure problem with large number of sub components. In this binary invasive weed optimization (BIWO) algorithm, binary music based harmony search (BMBHS) algorithm, Binary genetic algorithm (BGA) techniques are applied on the considered large product structures and the results are compared with Lot for Lot (LFL), Wagner-Whitin dynamic lot sizing algorithm solutions.