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      A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study

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          Abstract

          In the context of the COVID-19 pandemic, utilizing the potential of online markets to sell products has become increasingly important for creating competitive advantages and ensuring the growth and survival of businesses. The pandemic has disrupted traditional business practices, and with social distancing measures in place, consumers have turned to online channels to meet their needs. As a result, businesses that have adapted quickly to online markets have been able to maintain their customer base and revenue streams. Thus, considering the potential of online markets is of utmost importance in the current pandemic situation. In this regard, the present research aims to provide a practical framework for creating a green and sustainable closed-loop supply chain network (SCLSCN), including the integration of online markets, to assist managers in making decisions that support economic, environmental, and social goals. Accordingly, a multi-objective mixed integer linear programming (MOMILP) optimization model was designed under uncertain demand and disruption caused by natural disasters in Iran's home appliance industry. The study also considered changes in the capacities of online and marketplace sales channels, revealing a significant reduction in costs at each stage. The results show that the increase in demand has a direct impact on the production level, warehousing, and transportation costs, leading to social impacts on the model. However, the current system cannot handle an increase in demand of more than 20%, requiring managers to make decisions to increase production capacity or build new factories. Thus, the study highlights the importance of considering online markets as a means to adapt to disruptions caused by the pandemic and maintain a competitive edge.

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          Most cited references72

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          Effective implementation of the ε-constraint method in Multi-Objective Mathematical Programming problems

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            PRODUCT INNOVATION STRATEGY AND THE PERFORMANCE OF NEW TECHNOLOGY VENTURES IN CHINA.

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              The mediating effect of green innovation on the relationship between green supply chain management and environmental performance

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                Author and article information

                Contributors
                mahsa.taherifar@ut.ac.ir
                negin.hasani@ut.ac.ir
                m.zokaee1996@ut.ac.ir
                a.aghsami@ut.ac.ir
                fjolai@ut.ac.ir
                Journal
                Environ Dev Sustain
                Environ Dev Sustain
                Environment, Development and Sustainability
                Springer Netherlands (Dordrecht )
                1387-585X
                1573-2975
                8 June 2023
                : 1-48
                Affiliations
                [1 ]GRID grid.46072.37, ISNI 0000 0004 0612 7950, School of Industrial Engineering, College of Engineering, , University of Tehran, ; P.O. Box 11155-4563, Tehran, Iran
                [2 ]GRID grid.411976.c, ISNI 0000 0004 0369 2065, School of Industrial Engineering, , K. N. Toosi University of Technology, ; P.O. Box 15875-4416, Tehran, Iran
                Author information
                http://orcid.org/0000-0003-0175-2979
                http://orcid.org/0000-0003-0824-8513
                Article
                3421
                10.1007/s10668-023-03421-8
                10249582
                de1d9675-7b65-406f-ba5b-34effdd2654c
                © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 23 November 2022
                : 27 May 2023
                Categories
                Article

                sustainable closed-loop supply chain,location-allocation problem,augmented ε-constraint method,online market,uncertain demand,disruption

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