A supply chain model under return policy considering refurbishment, learning effect and inspection error

IF 0.5 Q4 ECONOMICS Croatian Operational Research Review Pub Date : 2020-07-02 DOI:10.17535/crorr.2020.0005
Sujata Saha, T. Chakrabarti
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引用次数: 6

Abstract

This article presents a three-echelon supply chain model consisting of a supplier, manufacturer, and a retailer, considering the return contract between the manufacturer and the retailer. Here, the manufacturer has two adjacent production units - the main production unit and a refurbishment unit. The main production unit of the manufacturer is imperfect, which produces an admixture of perfect and defective items. He inspects all the products immediately after production and sells good quality items to the retailer. The retailer receives a proportion of faulty products from him due to his erroneous inspection process, which he returns after inspection. The manufacturer sends all the defective products received from the retailer and the main production unit to the refurbishment unit for reworking. Moreover, the learning effect of the employees on the production cost is considered. Under these circumstances, the cost functions of each of the supply chain players have been derived. Finally, the applicability of the proposed model has been shown using a numerical example. The sensitivity analysis has been presented to study the effect of the parameters on the optimum decision variables.
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考虑翻新、学习效应和检验误差的退货政策下的供应链模型
本文提出了一个由供应商、制造商和零售商组成的三级供应链模型,考虑了制造商和零售商之间的退货合同。在这里,制造商有两个相邻的生产单元——主生产单元和翻新单元。制造商的主要生产单位是不完美的,它生产完美和有缺陷产品的混合物。他在生产后立即检查所有产品,并向零售商出售优质商品。由于他错误的检查过程,零售商从他那里收到了一定比例的不良产品,他在检查后将其退回。制造商将从零售商和主要生产单位收到的所有缺陷产品发送到翻新单位进行返工。此外,还考虑了员工的学习对生产成本的影响。在这种情况下,每个供应链参与者的成本函数都得到了推导。最后,通过算例验证了该模型的适用性。灵敏度分析用于研究参数对最优决策变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
5
审稿时长
22 weeks
期刊介绍: Croatian Operational Research Review (CRORR) is the journal which publishes original scientific papers from the area of operational research. The purpose is to publish papers from various aspects of operational research (OR) with the aim of presenting scientific ideas that will contribute both to theoretical development and practical application of OR. The scope of the journal covers the following subject areas: linear and non-linear programming, integer programing, combinatorial and discrete optimization, multi-objective programming, stohastic models and optimization, scheduling, macroeconomics, economic theory, game theory, statistics and econometrics, marketing and data analysis, information and decision support systems, banking, finance, insurance, environment, energy, health, neural networks and fuzzy systems, control theory, simulation, practical OR and applications. The audience includes both researchers and practitioners from the area of operations research, applied mathematics, statistics, econometrics, intelligent methods, simulation, and other areas included in the above list of topics. The journal has an international board of editors, consisting of more than 30 editors – university professors from Croatia, Slovenia, USA, Italy, Germany, Austria and other coutries.
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