文章基本信息

标题：A fuzzy periodic review integrated inventory model involving stochastic demand, imperfect production process and inspection errors
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作者：Wakhid Ahmad Jauhari ; Selvia Mayangsari ; Nughthoh Arfawi Kurdhi 等
期刊名称：Cogent Engineering
电子版ISSN：2331-1916
出版年度：2017
卷号：4
期号：1
页码：1308653
DOI：10.1080/23311916.2017.1308653
语种：English
出版社：Taylor and Francis Ltd
摘要：Abstract In this study, we investigate an integrated production-inventory system consisting of a single-vendor and single-buyer. The buyer manages its inventory level periodically at a certain period of time. We consider a fuzzy annual demand, imperfect production, inspection errors, partial backordering, and adjustable production rate in the proposed model. Additionally, it is assumed that the protection interval demand follows a normal distribution. The model contributes to the current literature by allowing the inclusion of fuzzy annual demand, adjustable production rate and imperfect production and inspection processes. Our objective is to optimize the number of deliveries from vendor to buyer, the buyer’s review period, and the vendor’s production rate, so that the joint expected total annual cost incurred has the minimum value. Furthermore, an iterative procedure is proposed to find the optimal solutions of the model. We also provide a numerical example and conduct a simple sensitivity analysis to illustrate the model’s behaviour and feasibility. The results from the sensitivity analysis show that the defective rate, type I inspection error, fuzzy annual demand, fixed production cost, variable production cost and setup cost give impacts to both the review period and production rate. Finally, it is concluded that the proposed model can be applied by managers or practitiones for managing inventories across the supply chain involving a vendor and a buyer.
关键词：integrated inventory model ; periodic review ; imperfect production ; fuzzy annual demand ; inspection errors ; adjustable production rate