A multi-objective closed-loop supply chain under uncertainty: An efficient Lagrangian relaxation reformulation using a neighborhood-based algorithm-Reference-Cited by-同舟云学术

A multi-objective closed-loop supply chain under uncertainty: An efficient Lagrangian relaxation reformulation using a neighborhood-based algorithm

Published:2023-10 Issue: Volume:423 Page:138702
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Ali Syed Mithun^ORCID,Fathollahi-Fard Amir M.^ORCID,Ahnaf Rashik,Wong Kuan Yew

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference59 articles.

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2. A multi-objective closed-loop supply chain network design problem under parameter uncertainty: comparison of exact methods;Abdolazimi;Environ. Dev. Sustain.,2022

3. The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure;Amaro;Comput. Chem. Eng.,2009

4. Pricing and advertising decisions in a direct-sales closed-loop supply chain;Asghari;Comput. Ind. Eng.,2022

5. Performance analysis of the closed loop supply chain;Asif;J. of Remanufact.,2012

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