B. Panigrahi, D. Kumar, Dr. Pabitra Kumar Tripathy
{"title":"基于交叉销售效应和数据挖掘技术的不完美商品允许比例折扣的改进订购策略","authors":"B. Panigrahi, D. Kumar, Dr. Pabitra Kumar Tripathy","doi":"10.35940/ijeat.d4081.0412423","DOIUrl":null,"url":null,"abstract":"Model of Economic Order Quantity (EOQ) in which cross-selling effects are taken into account and proportional discounts are allowed for products of lesser quality. Here, we introduce cross-selling impact as a means of establishing the ordering policy. To account for the benefits of upselling and cross-selling, we treat groups of frequently purchased items as discrete units for the purposes of calculating EOQ. Furthermore, the cross-selling impacts remain more pronounced when things are defective in nature. Initially, a number of data mining approaches are investigated in order to determine the best approach for establishing the necessary link among the item sets. By factoring in the cross-selling implications, we are able to have a better idea of the EOQ and move the project further. As it is anticipated that every lot contains some level of flaw, the work involves thorough lot-by-lot inspection. The faulty products eventually reached a total profit after varying discounts were applied. Finally, the results of the proposed model are shown through numerical examples.","PeriodicalId":13981,"journal":{"name":"International Journal of Engineering and Advanced Technology","volume":"6 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modified Ordering Policy for Items of Imperfect Quality with Allowable Proportionate Discount using Cross Selling Effects and Datamining Techniques\",\"authors\":\"B. Panigrahi, D. Kumar, Dr. Pabitra Kumar Tripathy\",\"doi\":\"10.35940/ijeat.d4081.0412423\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Model of Economic Order Quantity (EOQ) in which cross-selling effects are taken into account and proportional discounts are allowed for products of lesser quality. Here, we introduce cross-selling impact as a means of establishing the ordering policy. To account for the benefits of upselling and cross-selling, we treat groups of frequently purchased items as discrete units for the purposes of calculating EOQ. Furthermore, the cross-selling impacts remain more pronounced when things are defective in nature. Initially, a number of data mining approaches are investigated in order to determine the best approach for establishing the necessary link among the item sets. By factoring in the cross-selling implications, we are able to have a better idea of the EOQ and move the project further. As it is anticipated that every lot contains some level of flaw, the work involves thorough lot-by-lot inspection. The faulty products eventually reached a total profit after varying discounts were applied. Finally, the results of the proposed model are shown through numerical examples.\",\"PeriodicalId\":13981,\"journal\":{\"name\":\"International Journal of Engineering and Advanced Technology\",\"volume\":\"6 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Engineering and Advanced Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35940/ijeat.d4081.0412423\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Engineering and Advanced Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35940/ijeat.d4081.0412423","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modified Ordering Policy for Items of Imperfect Quality with Allowable Proportionate Discount using Cross Selling Effects and Datamining Techniques
Model of Economic Order Quantity (EOQ) in which cross-selling effects are taken into account and proportional discounts are allowed for products of lesser quality. Here, we introduce cross-selling impact as a means of establishing the ordering policy. To account for the benefits of upselling and cross-selling, we treat groups of frequently purchased items as discrete units for the purposes of calculating EOQ. Furthermore, the cross-selling impacts remain more pronounced when things are defective in nature. Initially, a number of data mining approaches are investigated in order to determine the best approach for establishing the necessary link among the item sets. By factoring in the cross-selling implications, we are able to have a better idea of the EOQ and move the project further. As it is anticipated that every lot contains some level of flaw, the work involves thorough lot-by-lot inspection. The faulty products eventually reached a total profit after varying discounts were applied. Finally, the results of the proposed model are shown through numerical examples.