Product Pairing Selection for Promotion using Partitioning Method

Slow-moving product is harmful to the business. The slow-moving products take up space and tie company’s capital leave company with fewer funds invest in its Several factors can cause this issue. There are several methods ranging from statistics heuristic for a identify inventory but all of them rely on data. In paper, partitioning technique graph network proposed partition inventories or into few clusters. It help what group does belongs at same time suggest which be paired bundled together clear aging products. proposed, algorithm coded using Visual C++ programming language. simulation results show that method task onto smaller subgraphs. subgraphs called cluster consists nodes similar purchase volume (the strong connection between two nodes). Implementing could companies managers select appropriate when doing promotion.