EOQ Model With Imperfect Items and Backorder with Allowable Proportionate Discount using Cross Selling Effects

The primary objective of this idea is to create an EOQ model for imperfectly-quality products that takes into account the combined effects proportionate discount, backorder, clustering with association rule mining, and cross-selling. ordering policy considering cross-selling effect was first calculated in paper. benefits become especially evident when selling low-quality products. Data mining methods varying sophistication are used determine nature connections between objects. Clustering group together items inventory database likely be together, then Apriori algorithm build common item sets from inside each cluster. By use cross-selling, most frequently purchased treated as unique entities. In addition, these entities determined alongside deficit threshold. Finally, a numerical example taken verify results suggested work.