An Integrated Optimization Model of a Closed-Loop Supply Chain Under Uncertainty

Xiaoxia Zhu () and Xiuquan Xu
Additional contact information
Xiaoxia Zhu: Hebei University of Science and Technology
Xiuquan Xu: Beijing Jiaotong University

A chapter in LISS 2012, 2013, pp 1389-1395 from Springer

Abstract: Abstract This paper studies a closed-loop supply chain, mainly consisting of positive selling, repairing, and remanufacturing under uncertainty. Then, we build a model for the closed-loop supply chain integration and optimization under uncertainty, in which a comprehensive utility function is used to clarify the random parameters, so that we can transform the model into a mixed integer programming model and do further analysis by hybrid genetic algorithm. The feasibility and validity of the model are verified by illustrative examples. This paper provides an effective decision-making tool for the closed-loop supply chain design. It is useful for the integration of forward and reverse supply chains.

Keywords: Closed-loop supply chain; Products repair; Modular reutilization; Uncertainty environment; Hybrid genetic algorithm (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-32054-5_197

Ordering information: This item can be ordered from
http://www.springer.com/9783642320545

DOI: 10.1007/978-3-642-32054-5_197

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().