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A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization

Author

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  • Xing Chen

    (Department of Business Administration, Honam University, Gwangju 62399, Korea)

  • Eunmi Jang

    (Department of Business Administration, Honam University, Gwangju 62399, Korea)

Abstract

The development of a carbon-neutral production and distribution method that minimizes the consumption of input resources and energy and facilitates resource recycling is an important global issue. Therefore, this study aimed to explore a new type of sustainable supply chain network (SSCN) that focuses on carbon neutrality and personalization. The first significance of the SSCN model is that it combines carbon neutrality and personalization problems into one research framework for the sustainable development of corporate management environments. In addition, evaluation and optimization mechanisms are crucial for decision-making in an SSCN. Thus, in this study, a creative evaluation and optimization mechanism was developed as a second significance for the sustainable development of the supply chain. The model used two evaluation indices (EIs) to measure the performance of the entire network in terms of the degree of personalization and carbon neutrality. The proposed SSCN is formulated as a mathematical model using mixed-integer nonlinear programming, and it is implemented by combining two types of approaches: hypergeometric distribution and a genetic algorithm. The results show the evaluation values and comparisons by the average values of transportation cost, handling cost, fixed costs, carbon dioxide emission cost, total cost, and average processing time. In addition to providing help for mass-customized production enterprises, this study also provided constructive suggestions for the conversion of small or venture enterprises to multi-variety and small-scale production, and it suggests the direction of job creation for such enterprises.

Suggested Citation

  • Xing Chen & Eunmi Jang, 2022. "A Sustainable Supply Chain Network Model Considering Carbon Neutrality and Personalization," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:8:p:4803-:d:795686
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    1. Nurjanni, Kartina Puji & Carvalho, Maria S. & Costa, Lino, 2017. "Green supply chain design: A mathematical modeling approach based on a multi-objective optimization model," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 421-432.
    2. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    3. Ying Ji & Huanhuan Li & Huijie Zhang, 2022. "Risk-Averse Two-Stage Stochastic Minimum Cost Consensus Models with Asymmetric Adjustment Cost," Group Decision and Negotiation, Springer, vol. 31(2), pages 261-291, April.
    4. Jianming Yao & Heyun Shi & Chang Liu, 2020. "Optimising the configuration of green supply chains under mass personalisation," International Journal of Production Research, Taylor & Francis Journals, vol. 58(24), pages 7420-7438, December.
    5. Liu, Weihua & Wang, Qian & Mao, Qiaomei & Wang, Shuqing & Zhu, Donglei, 2015. "A scheduling model of logistics service supply chain based on the mass customization service and uncertainty of FLSP’s operation time," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 189-215.
    6. van Wijk, A.C.C. & Adan, I.J.B.F. & van Houtum, G.J., 2019. "Optimal lateral transshipment policies for a two location inventory problem with multiple demand classes," European Journal of Operational Research, Elsevier, vol. 272(2), pages 481-495.
    7. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    8. Jianming Yao & Mengjie Gu, 2015. "Optimization Analysis of Supply Chain Resource Allocation in Customized Online Shopping Service Mode," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-11, May.
    9. Abhijit Chakraborty & Yuichi Ikeda, 2020. "Testing “efficient supply chain propositions” using topological characterization of the global supply chain network," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-18, October.
    10. D. G. Mogale & Naoufel Cheikhrouhou & Manoj Kumar Tiwari, 2020. "Modelling of sustainable food grain supply chain distribution system: a bi-objective approach," International Journal of Production Research, Taylor & Francis Journals, vol. 58(18), pages 5521-5544, September.
    11. Kalimuthu Krishnamoorthy & Shanshan Lv, 2020. "Prediction intervals for hypergeometric distributions," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 49(6), pages 1528-1536, March.
    12. Pai Zheng & Yuan Lin & Chun-Hsien Chen & Xun Xu, 2019. "Smart, connected open architecture product: an IT-driven co-creation paradigm with lifecycle personalization concerns," International Journal of Production Research, Taylor & Francis Journals, vol. 57(8), pages 2571-2584, April.
    13. Zümbül Atan & Lawrence V. Snyder & George R. Wilson, 2018. "Transshipment policies for systems with multiple retailers and two demand classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 159-186, January.
    14. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
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    1. Suhan Wu & Min Luo & Jingxia Zhang & Daoheng Zhang & Lianmin Zhang, 2022. "Pharmaceutical Supply Chain in China: Pricing and Production Decisions with Price-Sensitive and Uncertain Demand," Sustainability, MDPI, vol. 14(13), pages 1-28, June.
    2. Gheorghe Minculete & Sebastian Emanuel Stan & Lucian Ispas & Ioan Virca & Leontin Stanciu & Marius Milandru & Gabriel Mănescu & Mădălina-Ioana Bădilă, 2022. "Relational Approaches Related to Digital Supply Chain Management Consolidation," Sustainability, MDPI, vol. 14(17), pages 1-28, August.

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