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A New Two-Stage Stochastic Model for Reverse Logistics Network Design under Government Subsidy and Low-Carbon Emission Requirement

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https://hdl.handle.net/10037/12231
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Accepted manuscript article, PDF-format (PDF)
Date
2018-02-12
Type
Konferansebidrag
Conference object

Author
Yu, Hao; Solvang, Wei Deng
Abstract
Nowadays, increasing number of companies incorporates the reverse logistics decisions into their supply chain design in order to cope with the enforced international and national legislation and improve the resource efficiency and public image. This paper investigates a new stochastic optimization model for designing a single-period multiproduct multi-level reverse logistics system under government subsidy and low-carbon emission requirement. In order to resolve the stochastic optimization problem, a modified multi-criteria scenario-based approach is proposed to maximize the profit generation while simultaneously improve the stability of the decision-making under uncertainty. The model and solution method are tested with several numerical experiments, and managerial insights are obtained with respect to the carbon emission requirement, governmental subsidy, economy of scale, and system flexibility.
Description
Embargoed Access, etter IEEEs generelle retningslinjer (manuscript version for OA after 24 mnths embargo from publication date) Link to publisher's version: http://doi.org/10.1109/IEEM.2017.8289857
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Yu H, Solvang WD. A New Two-Stage Stochastic Model for Reverse Logistics Network Design under Government Subsidy and Low-Carbon Emission Requirement . IEEE International Conference on Industrial Engineering and Engineering Management. 2017
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  • Artikler, rapporter og annet (industriell teknologi) [195]

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