Evaluating strategic remanufacturing supply chain decisions

被引:26
|
作者
Diaz, Rafael [1 ]
Marsillac, Erika [2 ]
机构
[1] Zaragoza Logist Ctr, MIT Zaragoza Int Logist Program, MIT GLOBAL SCALE, Zaragoza, Spain
[2] Old Dominion Univ, Strome Coll Business, Dept Informat Technol Decis Sci & Maritime & Supp, Norfolk, VA USA
关键词
remanufacturing; Monte Carlo method; simulation; supply chain design; sustainable manufacturing; green manufacturing; strategy; SYSTEM DYNAMICS MODEL; RANDOM YIELD; CORE ACQUISITION; ASSEMBLY SYSTEMS; RETURN QUALITY; PRODUCT; COORDINATION; FRAMEWORK; OPTIMIZATION; NEWSVENDOR;
D O I
10.1080/00207543.2016.1239848
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Accurately evaluating strategic commitments to remanufacturing requires a comprehensive understanding and consideration of the simultaneous effect of uncertainty on supply and demand. This paper presents a model that supports improved remanufacturing decision-making under stochastic demand and supply components and various cost factor considerations. The model is formulated as a newsvendor model extension that considers the simultaneous effects of probabilistic supply and demand. This characterisation assesses the effects of critical operational constraints on several strategic performance measures including cost, revenue and profit. The paper employs a Monte Carlo approach to assess the performance and extent of engagement in strategic remanufacturing supply chain operations, and illustrates results via a case study application. Results indicate that the technique can assist decision-makers in strategically determining the potential of future engagements in remanufacturing activities, and extends research findings by theoretically examining strategic decision-making for remanufacturing activity.
引用
收藏
页码:2522 / 2539
页数:18
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