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Resilience and complexity measurement for energy efficient global supply chains in disruptive events

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  • Ekinci, Esra
  • Mangla, Sachin Kumar
  • Kazancoglu, Yigit
  • Sarma, P.R.S.
  • Sezer, Muruvvet Deniz
  • Ozbiltekin-Pala, Melisa

Abstract

The whole world is faced with the COVID-19 epidemic that causes major disruptions in global supply chains. The aim of study is to evaluate the effects of COVID-19 on energy efficient global supply chains (SCs) and to model the global supply chain resilience and energy management affected during the COVID-19 considering trade between Turkey and China, and Turkey and the EU. In this study, firstly using System Dynamics (SD) model, the behavior of countries against COVID-19 for a certain period of time is observed, subsequently the increase in complexity is analyzed with entropy measurement to determine whether the systems are resilient or not and to mark the differences arising from reporting in the first and second wave of the pandemic in the developed model. It is determined that the second wave reporting differences is less than first wave reporting differences except Turkey. From the learning effect perspective, it has been seen that the effect on the economy and foreign trade are less than first wave of pandemic even though the number of patients originating in the second wave are higher. It means that countries responded to the second wave of COVID-19 in a more resilient way. It is found that as a major finding of this study, perceived complexity of the system decreases in the second wave because of the resilience of supply chain considering learning effect and centralized decision making ensure increasing resilience and resilience measure in global supply chains. The study is highly helpful for governments, decision makers and managers to understand and manage the impacts of COVID-19 on global supply chains being resilient and energy efficient.

Suggested Citation

  • Ekinci, Esra & Mangla, Sachin Kumar & Kazancoglu, Yigit & Sarma, P.R.S. & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2022. "Resilience and complexity measurement for energy efficient global supply chains in disruptive events," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    • Handle: RePEc:eee:tefoso:v:179:y:2022:i:c:s0040162522001664
    DOI: 10.1016/j.techfore.2022.121634
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    as
    1. Jarmo S. Kikstra & Adriano Vinca & Francesco Lovat & Benigna Boza-Kiss & Bas Ruijven & Charlie Wilson & Joeri Rogelj & Behnam Zakeri & Oliver Fricko & Keywan Riahi, 2021. "Climate mitigation scenarios with persistent COVID-19-related energy demand changes," Nature Energy, Nature, vol. 6(12), pages 1114-1123, December.
    2. Benoit Morel & Rangaraj Ramanujam, 1999. "Through the Looking Glass of Complexity: The Dynamics of Organizations as Adaptive and Evolving Systems," Organization Science, INFORMS, vol. 10(3), pages 278-293, June.
    3. Chikaraishi, Makoto & Garg, Prateek & Varghese, Varun & Yoshizoe, Kazuki & Urata, Junji & Shiomi, Yasuhiro & Watanabe, Ryuki, 2020. "On the possibility of short-term traffic prediction during disaster with machine learning approaches: An exploratory analysis," Transport Policy, Elsevier, vol. 98(C), pages 91-104.
    4. Chandra, Dheeraj & Kumar, Dinesh, 2021. "Evaluating the effect of key performance indicators of vaccine supply chain on sustainable development of mission indradhanush: A structural equation modeling approach," Omega, Elsevier, vol. 101(C).
    5. Bill McKelvey, 1999. "Avoiding Complexity Catastrophe in Coevolutionary Pockets: Strategies for Rugged Landscapes," Organization Science, INFORMS, vol. 10(3), pages 294-321, June.
    6. Hoang, Anh Tuan & Sandro Nižetić, & Olcer, Aykut I. & Ong, Hwai Chyuan & Chen, Wei-Hsin & Chong, Cheng Tung & Thomas, Sabu & Bandh, Suhaib A. & Nguyen, Xuan Phuong, 2021. "Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications," Energy Policy, Elsevier, vol. 154(C).
    7. El Baz, Jamal & Ruel, Salomée, 2021. "Can supply chain risk management practices mitigate the disruption impacts on supply chains’ resilience and robustness? Evidence from an empirical survey in a COVID-19 outbreak era," International Journal of Production Economics, Elsevier, vol. 233(C).
    8. Tomas Baležentis & Mangirdas Morkūnas & Agnė Žičkienė & Artiom Volkov & Erika Ribašauskienė & Dalia Štreimikienė, 2021. "Policies for Rapid Mitigation of the Crisis’ Effects on Agricultural Supply Chains: A Multi-Criteria Decision Support System with Monte Carlo Simulation," Sustainability, MDPI, vol. 13(21), pages 1-31, October.
    9. Hoda Parvin & Shervin Beygi & Jonathan E. Helm & Peter S. Larson & Mark P. Van Oyen, 2018. "Distribution of Medication Considering Information, Transshipment, and Clustering: Malaria in Malawi," Production and Operations Management, Production and Operations Management Society, vol. 27(4), pages 774-797, April.
    10. Freeman, Nickolas K. & Narayanan, Arunachalam & Keskin, Burcu B., 2021. "Optimal use of downward substitution in a manufacturing operation subject to uncertainty," Omega, Elsevier, vol. 103(C).
    11. Zheng, Rui & Shou, Biying & Yang, Jun, 2021. "Supply disruption management under consumer panic buying and social learning effects," Omega, Elsevier, vol. 101(C).
    12. Sushil Gupta & Martin K. Starr & Reza Zanjirani Farahani & Niki Matinrad, 2016. "Disaster Management from a POM Perspective: Mapping a New Domain," Production and Operations Management, Production and Operations Management Society, vol. 25(10), pages 1611-1637, October.
    13. Berends, P. A. J. & Romme, A. G. L., 2001. "Cyclicality of capital-intensive industries: a system dynamics simulation study of the paper industry," Omega, Elsevier, vol. 29(6), pages 543-552, December.
    14. Philip Anderson, 1999. "Perspective: Complexity Theory and Organization Science," Organization Science, INFORMS, vol. 10(3), pages 216-232, June.
    15. Martonosi, Susan E. & Behzad, Banafsheh & Cummings, Kayla, 2021. "Pricing the COVID-19 vaccine: A mathematical approach," Omega, Elsevier, vol. 103(C).
    16. Zhan, Yuanzhu & Chung, Leanne & Lim, Ming K. & Ye, Fei & Kumar, Ajay & Tan, Kim Hua, 2021. "The impact of sustainability on supplier selection: A behavioural study," International Journal of Production Economics, Elsevier, vol. 236(C).
    17. Song, Malin & Xie, Qianjiao & Shen, Zhiyang, 2021. "Impact of green credit on high-efficiency utilization of energy in China considering environmental constraints," Energy Policy, Elsevier, vol. 153(C).
    18. Pereira, Miguel Alves & Camanho, Ana Santos & Marques, Rui Cunha & Figueira, José Rui, 2021. "The convergence of the World Health Organization Member States regarding the United Nations’ Sustainable Development Goal ‘Good health and well-being’," Omega, Elsevier, vol. 104(C).
    19. Luke Muggy & Jessica L. Heier Stamm, 2020. "Decentralized beneficiary behavior in humanitarian supply chains: models, performance bounds, and coordination mechanisms," Annals of Operations Research, Springer, vol. 284(1), pages 333-365, January.
    20. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    21. Marta Negri & Enrico Cagno & Claudia Colicchia & Joseph Sarkis, 2021. "Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 2858-2886, November.
    22. Jiang, Peng & Fan, Yee Van & Klemeš, Jiří Jaromír, 2021. "Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities," Applied Energy, Elsevier, vol. 285(C).
    23. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    24. Chen, Hsi Yueh & Das, Ajay & Ivanov, Dmitry, 2019. "Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry," International Journal of Information Management, Elsevier, vol. 49(C), pages 330-342.
    25. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    26. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
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    2. Jiachen Sun & Haiyan Wang & Zhimin Cui, 2023. "Alleviating the Bauxite Maritime Supply Chain Risks through Resilient Strategies: QFD-MCDM with Intuitionistic Fuzzy Decision Approach," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
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    4. Sun, Chen & Song, Junnian & Zhang, Dongqi & Wang, Xiaofan & Yang, Wei & Qi, Zhimin & Chen, Shaoqing, 2023. "Tracing urban carbon footprints differentiating supply chain complexity: A metropolis case," Energy, Elsevier, vol. 282(C).
    5. Qin, Meng & Su, Chi-Wei & Umar, Muhammad & Lobonţ, Oana-Ramona & Manta, Alina Georgiana, 2023. "Are climate and geopolitics the challenges to sustainable development? Novel evidence from the global supply chain," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 748-763.
    6. Ali, Imran & Arslan, Ahmad & Tarba, Shlomo & Mainela, Tuija, 2023. "Supply chain resilience to climate change inflicted extreme events in agri-food industry: The role of social capital and network complexity," International Journal of Production Economics, Elsevier, vol. 264(C).

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