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

-1e416013186c20a17cb-71b6 20230318020536989 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 04 30 2023 12 5 EOQ Model With Imperfect Items and Backorder with Allowable Proportionate Discount using Cross Selling Effects Assistant Professor, Department of Computer Science and Engineering (AI & ML), Vardhaman College of Engineering, Hyderabad (Telangana), India Bhawani Sankar Panigrahi https://orcid.org/0000-0002-1109-4108 Dr. Sanjay Kumar https://orcid.org/0000-0001-5820-7715 Associate Professor, Kalinga University, Chhattisgarh Naya Raipur (Chhattisgarh), India Dr. Pabitra Kumar Tripathy https://orcid.org/0000-0002-4870-8476 Associate Professor, Department of Computer Science and Engineering, Kalam Institute of Technology, Berhampur, (Odisha), India The primary objective of this idea is to create an EOQ model for imperfectly-quality products that takes into account the combined effects of proportionate discount, backorder, clustering with association rule mining, and cross-selling. The ordering policy considering the cross-selling effect was first calculated in this paper. The benefits of cross-selling become especially evident when selling low-quality products. Data mining methods of varying sophistication are used to determine the nature of the connections between the objects. Clustering is used to group together items in the inventory database that are likely to be used together, and then the Apriori algorithm is used to build common item sets from inside each cluster. By the use of cross-selling, the most frequently purchased items are treated as unique entities. In addition, the EOQ of these entities is determined alongside the deficit threshold. Finally, a numerical example is taken into account to verify the results of the suggested work. 04 30 2023 18 24 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true We did not receive any fund for this work. We declare that No conflicts of interest to the best of our knowledge. No, the article does not require ethical approval and consent to participate with evidence. Not relevant. All authors have equal participation in this article. 10.35940/ijitee.E9485.0412523 https://www.ijitee.org/portfolio-item/E94850412523/