Reverse Logistics Network Optimization Design under Fuzzy-stochastic Environment

Jing Ye (), Xifu Wang () and Zhaoyun Li ()
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Jing Ye: Beijing Jiaotong University
Xifu Wang: Beijing Jiaotong University
Zhaoyun Li: Beijing Jiaotong University

A chapter in LISS 2014, 2015, pp 1345-1352 from Springer

Abstract: Abstract Considering the uncertainty of reverse logistics of waste products, combine enterprise decision-making of periodic reverse logistics networks, this paper builds the forward and reverse integrated logistics network optimization chance constrained model to minimize the construction and operation cost, within the warehouse capacity limits under random consumer and fuzzy recycling demand environment. Then we transform the model to certainty, puts forward multi-state ideas and designs GA, eventually solving the dynamic optimization analysis of network model by an example test and verifies its validity and rationality.

Keywords: Reverse logistics; Fuzzy and random environment; Network optimization; Chance constrained (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_195

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DOI: 10.1007/978-3-662-43871-8_195

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