An Improvement of Joint Ordering Policy of Multiproduct Inventory Problem with Partial Joint Ordering

摘要

This paper discusses an improvement of the joint ordering policy of multiproduct inventory problem with a proposed method, or called as partial joint ordering. The joint ordering policy which is to determine a common ordering interval and all products is requested at the same time, as the proposed partial ordering policy divides products into many clusters. A cluster can be considered as groups of multiproduct being ordered together. Each cluster has its own ordering interval which is independent to each other. The partial joint ordering approach is proposed to perform products clustering and determine the cluster ordering interval. The performance of the proposed partial joint ordering is evaluated at different values of holding cost fraction. A solution which is the average total cost per year yielded from the proposed framework is compared to solutions obtained from the classical individual, joint and mixed ordering policies. The presented partial joint ordering policy performs better than the classical individual, joint and mixed ordering policies with 20.30, 11.30 and 0.87 average cost saving percentages, respectively, from the study-results of 50 generated random problems.