2016
DOI: 10.1016/j.tre.2016.02.011
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Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty

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Cited by 297 publications
(175 citation statements)
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References 87 publications
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“…These are of great concern to governments which encourage companies to become CSR-oriented with incentives such as subsidies and tax reduction. For example, the issue of job creation and economic development of the community is addressed in the Iranian Fifth Development Plan [17]. Therefore, considering employment opportunities alongside economic development can be a great help in mitigating worldwide social sustainability concerns.…”
Section: Introductionmentioning
confidence: 99%
“…These are of great concern to governments which encourage companies to become CSR-oriented with incentives such as subsidies and tax reduction. For example, the issue of job creation and economic development of the community is addressed in the Iranian Fifth Development Plan [17]. Therefore, considering employment opportunities alongside economic development can be a great help in mitigating worldwide social sustainability concerns.…”
Section: Introductionmentioning
confidence: 99%
“…A novel multi-objective hybrid algorithm called MHPV that is the hybrid of MOPSO and Adapted Multi-Objective Variable Neighborhood Search (AMOVNS) was proposed for the problem. A closed-loop location routing inventory problem by sustainability consideration was modeled in an uncertain environment by Zhalechian et al (2016). The social impacts of created job opportunities and economic development were considered as a societal objective in their study.…”
Section: Literature Reviewmentioning
confidence: 99%
“…This last case incorporated inventory decisions into the location-routing model. A study by Zhalechian et al [56] is another example where an inventory decision is also incorporated in the LRP model. In this study, the authors aimed at sustainable design of a closed-loop SCN by considering economic, environmental and social measures within an M-O LRP model.…”
Section: Location Routing Problemsmentioning
confidence: 99%