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Modeling and analysis of sustainable supply chain dynamics

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  • Gang Wang

    (University of Massachusetts Dartmouth)

  • Angappa Gunasekaran

    (University of Massachusetts Dartmouth)

Abstract

This paper studies the dynamic behavior of the interaction between sustainable supply chains and environment. Environmental impact exists at each stage throughout supply chains such as resource extraction, production, distribution, repairs, and waste disposal, among others. As market and competition constantly change over time, however, supply chains interact significantly with environment, so managing supply chains sustainably is dynamic. In this paper, a mathematical model based on nonlinear dynamic system is presented to describe the dynamics of the impact of supply chains on environment while achieving sustainable supply chains. The existence and uniqueness of its solutions are proved, followed by the analysis on its equilibrium and stability. To better understand the dynamic mechanism of this proposed system, performance analysis is conducted with respect to three parameters: (a) design production capacity; (b) environmental cost; and (c) demand rate. Analytical results validate the dynamic interaction of supply chains with environment, and justify the environmental and economic significance of supply chain sustainability.

Suggested Citation

  • Gang Wang & Angappa Gunasekaran, 2017. "Modeling and analysis of sustainable supply chain dynamics," Annals of Operations Research, Springer, vol. 250(2), pages 521-536, March.
    • Handle: RePEc:spr:annopr:v:250:y:2017:i:2:d:10.1007_s10479-015-1860-2
    DOI: 10.1007/s10479-015-1860-2
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    References listed on IDEAS

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    Cited by:

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    2. Fu, Lingxian & Meng, Fanyong, 2020. "A human disease transmission inspired dynamic model for closed-loop supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    3. Taghikhah, Firouzeh & Voinov, Alexey & Shukla, Nagesh & Filatova, Tatiana & Anufriev, Mikhail, 2021. "Integrated modeling of extended agro-food supply chains: A systems approach," European Journal of Operational Research, Elsevier, vol. 288(3), pages 852-868.
    4. K. T. Shibin & Rameshwar Dubey & Angappa Gunasekaran & Benjamin Hazen & David Roubaud & Shivam Gupta & Cyril Foropon, 2020. "Examining sustainable supply chain management of SMEs using resource based view and institutional theory," Annals of Operations Research, Springer, vol. 290(1), pages 301-326, July.
    5. Noura Yassine, 2020. "A sustainable economic production model: effects of quality and emissions tax from transportation," Annals of Operations Research, Springer, vol. 290(1), pages 73-94, July.
    6. Ozgur M. Araz & Fernando A. Wilson & Jim P. Stimpson, 2020. "Complex systems modeling for evaluating potential impact of traffic safety policies: a case on drug-involved fatal crashes," Annals of Operations Research, Springer, vol. 291(1), pages 37-58, August.

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