{"title":"降价策略下价格、新鲜度和环保程度依赖于需求的延迟变质产品EPQ模型","authors":"Dharmesh Katariya, Kunal Shukla","doi":"10.2298/yjor230515023k","DOIUrl":null,"url":null,"abstract":"Consumers today use green, fresh, perishable products because of their\n freshness, healthfulness, and sustainability. In this article, we developed\n the continuous production inventory model for the producer who produces and\n sells fresh perishable products with the input of green efforts. There are\n two distinct kinds of product decay to take into account: products whose\n physical condition gradually deteriorates over time at a constant rate, and\n products whose freshness quality declines with time. Product demand is\n influenced by the selling price of the product, its freshness level, and its\n greening efforts. In order to increase the sales of inventory and enhance\n the profit from clearing stocks at the end of their life, we have adopted\n the markdown policy. Due to freshness degradation, a markdown strategy is\n adopted after a period of product deterioration to boost demand. The\n objectives of the study are to find out the optimal period for replenishment\n cycle time, the optimal value of greening efforts, and the optimal markdown\n percentage such that the producer?s total profit is maximum. A numerical\n example is used to validate a mathematical formulation that reflects\n real-world circumstances. A sensitivity analysis of the parameters is done\n to determine the model's reliability. Some significant managerial results\n are provided, and the article concludes with a consideration of the future\n scope of related research.","PeriodicalId":52438,"journal":{"name":"Yugoslav Journal of Operations Research","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An EPQ model for delay deteriorating products with price, freshness and greening efforts dependent demand under markdown strategy\",\"authors\":\"Dharmesh Katariya, Kunal Shukla\",\"doi\":\"10.2298/yjor230515023k\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consumers today use green, fresh, perishable products because of their\\n freshness, healthfulness, and sustainability. In this article, we developed\\n the continuous production inventory model for the producer who produces and\\n sells fresh perishable products with the input of green efforts. There are\\n two distinct kinds of product decay to take into account: products whose\\n physical condition gradually deteriorates over time at a constant rate, and\\n products whose freshness quality declines with time. Product demand is\\n influenced by the selling price of the product, its freshness level, and its\\n greening efforts. In order to increase the sales of inventory and enhance\\n the profit from clearing stocks at the end of their life, we have adopted\\n the markdown policy. Due to freshness degradation, a markdown strategy is\\n adopted after a period of product deterioration to boost demand. The\\n objectives of the study are to find out the optimal period for replenishment\\n cycle time, the optimal value of greening efforts, and the optimal markdown\\n percentage such that the producer?s total profit is maximum. A numerical\\n example is used to validate a mathematical formulation that reflects\\n real-world circumstances. A sensitivity analysis of the parameters is done\\n to determine the model's reliability. Some significant managerial results\\n are provided, and the article concludes with a consideration of the future\\n scope of related research.\",\"PeriodicalId\":52438,\"journal\":{\"name\":\"Yugoslav Journal of Operations Research\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Yugoslav Journal of Operations Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2298/yjor230515023k\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Yugoslav Journal of Operations Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2298/yjor230515023k","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
An EPQ model for delay deteriorating products with price, freshness and greening efforts dependent demand under markdown strategy
Consumers today use green, fresh, perishable products because of their
freshness, healthfulness, and sustainability. In this article, we developed
the continuous production inventory model for the producer who produces and
sells fresh perishable products with the input of green efforts. There are
two distinct kinds of product decay to take into account: products whose
physical condition gradually deteriorates over time at a constant rate, and
products whose freshness quality declines with time. Product demand is
influenced by the selling price of the product, its freshness level, and its
greening efforts. In order to increase the sales of inventory and enhance
the profit from clearing stocks at the end of their life, we have adopted
the markdown policy. Due to freshness degradation, a markdown strategy is
adopted after a period of product deterioration to boost demand. The
objectives of the study are to find out the optimal period for replenishment
cycle time, the optimal value of greening efforts, and the optimal markdown
percentage such that the producer?s total profit is maximum. A numerical
example is used to validate a mathematical formulation that reflects
real-world circumstances. A sensitivity analysis of the parameters is done
to determine the model's reliability. Some significant managerial results
are provided, and the article concludes with a consideration of the future
scope of related research.