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Towards a responsive-sustainable-resilient tea supply chain network design under uncertainty using big data

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  • Olfati, Marjan
  • Paydar, Mohammad Mahdi

Abstract

Nowadays, issues such as limited natural resources, environmental problems, social matters, and significance of resilience in agricultural supply chain (ASC) have dragged considerable attention worldwide. In this research, a five-level multi-objective stochastic mixed-integer linear programming model is designed for tea supply chain (TSC) in Iran. The objective functions of the suggested network are minimizing total costs of the supply chain (SC), the total water consumption, and non-resilience measures, and maximizing job opportunities of facilities. Literally, considering uncertainty for SC networks is extremely beneficial due to the existence of some variations in different parameters like demand. As a consequence, a robust possibilistic optimization (RPO) is implemented to manage the uncertainty. Due to the nature of the multi-objective optimization problem, the weighted-normalized-extended goal programming (WNEGP) approach is employed to solve the model. In order to credit the model, real data is collected from the tea organization of Iran. It is worth mentioning that parameters are gathered according to three aspects of big data: volume, velocity, and variety. The results validated the functionality of the model regarding planning strategy. In addition, it showed applying more costs on SC triggers an effective sustainable-resilient-responsive network. In terms of managerial insights, this study offers a far-reaching perspective to managers especially in ASC to develop their industries. Finally, some sensitivity analyses are discussed on key parameters such as demand, robustness coefficients, and also the value of the objective functions in various states. It is worth mentioning that sensitivity analyses on different states of the problem show how sustainability and resiliency affect the supply chain efficiency.

Suggested Citation

  • Olfati, Marjan & Paydar, Mohammad Mahdi, 2023. "Towards a responsive-sustainable-resilient tea supply chain network design under uncertainty using big data," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:soceps:v:88:y:2023:i:c:s0038012123001581
    DOI: 10.1016/j.seps.2023.101646
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    References listed on IDEAS

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    1. Mohammad Shokouhifar & Alireza Goli, 2023. "Designing a Resilient–Sustainable Supply Chain Network of Age-Differentiated Blood Platelets Using Vertical–Horizontal Transshipment and Grey Wolf Optimizer," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    2. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    3. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    4. Govindan, Kannan & Gholizadeh, Hadi, 2021. "Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    5. Armin Jabbarzadeh & Behnam Fahimnia & Fatemeh Sabouhi, 2018. "Resilient and sustainable supply chain design: sustainability analysis under disruption risks," International Journal of Production Research, Taylor & Francis Journals, vol. 56(17), pages 5945-5968, September.
    6. Fahimnia, Behnam & Jabbarzadeh, Armin & Sarkis, Joseph, 2018. "Greening versus resilience: A supply chain design perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 129-148.
    7. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    8. Xiao-qiu Shi & Wei Long & Yan-yan Li & Ding-shan Deng & Yong-lai Wei & Hua-guo Liu, 2020. "Research on supply network resilience considering random and targeted disruptions simultaneously," International Journal of Production Research, Taylor & Francis Journals, vol. 58(21), pages 6670-6688, November.
    9. Silja Meyer-Nieberg & Erik Kropat & Patrick Dolan Weber, 2014. "Dynamical Supply Networks for Crisis and Disaster Relief: Networks Resilience and Decision Support in Uncertain Environments," Operations Research Proceedings, in: Dennis Huisman & Ilse Louwerse & Albert P.M. Wagelmans (ed.), Operations Research Proceedings 2013, edition 127, pages 309-315, Springer.
    10. Zahiri, Behzad & Zhuang, Jun & Mohammadi, Mehrdad, 2017. "Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 109-142.
    11. Romero, Carlos, 2001. "Extended lexicographic goal programming: a unifying approach," Omega, Elsevier, vol. 29(1), pages 63-71, February.
    12. Jabbarzadeh, Armin & Fahimnia, Behnam & Sheu, Jiuh-Biing, 2017. "An enhanced robustness approach for managing supply and demand uncertainties," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 620-631.
    13. Clavijo-Buritica, Nicolás & Triana-Sanchez, Laura & Escobar, John Willmer, 2023. "A hybrid modeling approach for resilient agri-supply network design in emerging countries: Colombian coffee supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
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