171
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Redesigning a supply chain considering financing and pricing decisions and long-term disruptions under a pandemic

&
Article: 2262385 | Received 24 Feb 2023, Accepted 17 Sep 2023, Published online: 18 Oct 2023

References

  • Abbasi, S., & Erdebilli, B. (2023). Green closed-loop supply chain networks’ response to various carbon policies during COVID-19. Sustainability, 15(4), 3677. https://doi.org/10.3390/su15043677
  • Abbasian, M., Sazvar, Z., & Mohammadisiahroudi, M. (2023). A hybrid optimization method to design a sustainable resilient supply chain in a perishable food industry. Environmental Science and Pollution Research, 30(3), 6080–6103. https://doi.org/10.1007/s11356-022-22115-8
  • Alharbi, M. (2020). The economic effect of coronavirus (COVID-19) on higher education in Jordan: An analytical survey. International Journal of Economics & Business Administration (IJEBA), 8(2), 521–532.
  • Amiri, A. S., Torabi, S. A., & Ghodsi, R. (2018). An iterative approach for a bi-level competitive supply chain network design problem under foresight competition and variable coverage. Transportation Research Part E: Logistics and Transportation Review, 109, 99–114. https://doi.org/10.1016/j.tre.2017.11.002
  • Ashraf, B. N. (2020). Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets. Journal of Behavioral and Experimental Finance, 27, Article 100371. https://doi.org/10.1016/j.jbef.2020.100371
  • Badakhshan, E., & Ball, P. (2022). Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions. International Journal of Production Research, 61(15), 5094–5116. doi:10.1080/00207543.2022.2093682
  • Berman, J. D., & Ebisu, K. (2020). Changes in U.S. Air pollution during the COVID-19 pandemic. Science of the Total Environment, 739(2020), Article 139864. https://doi.org/10.1016/j.scitotenv.2020.139864
  • Biskanaki, F., Rallis, Ε, Andreou, Ε, Sfyri, Ε, Tertipi, Ν, & Kefala, V. (2020). Social-economic impact of COVID-19 pandemic on aesthetic centers in Greece. Journal of Cosmetic Dermatology, 19(9), 2165–2168. https://doi.org/10.1111/jocd.13517
  • Braun, A. (2010). Corporate cash management trends—part 3: the financial supply chain.
  • Burkart, M., Ellingsen, T., & Giannetti, M. (2005). What you sell is what you. Explaining Trade Credit Contracts, Citeseer.
  • Büyüktahtakın, İE, des-Bordes, E., & Kıbış, E. Y. (2018). A new epidemics – logistics model: Insights into controlling the Ebola virus disease in West Africa. European Journal of Operational Research, 265(3), 1046–1063. https://doi.org/10.1016/j.ejor.2017.08.037
  • Chen, J., Sohal, A. S., & Prajogo, D. I. (2013). Supply chain operational risk mitigation: A collaborative approach. International Journal of Production Research, 51(7), 2186–2199. https://doi.org/10.1080/00207543.2012.727490
  • Chen, X., Wang, X., & Zhou, M. (2019). Firms’ green R&D cooperation behaviour in a supply chain: Technological spillover, power and coordination. International Journal of Production Economics, 218, 118–134. https://doi.org/10.1016/j.ijpe.2019.04.033
  • Choi, T.-M. (2020). Innovative ‘bring-service-near-your-home’ operations under corona-virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the messiah? Transportation Research Part E: Logistics and Transportation Review, 140, 101961. https://doi.org/10.1016/j.tre.2020.101961
  • Chou, J., Kuo, N.-F., & Peng, S.-L. (2004). Potential impacts of the SARS outbreak on Taiwan’s economy. Asian Economic Papers, 3(1), 84–99. https://doi.org/10.1162/1535351041747969
  • Chowdhury, P., Paul, S. K., Kaisar, S., & Moktadir, M. A. (2021). COVID-19 pandemic related supply chain studies: A systematic review. Transportation Research Part E: Logistics and Transportation Review, 148, 102271. https://doi.org/10.1016/j.tre.2021.102271
  • Clifford, J., & Huntsdale, J. (2020). Coronavirus business boom for regional hand sanitiser manufacturer working overtime to meet demand. ABC News.
  • Diabat, A., Dehghani, E., & Jabbarzadeh, A. (2017). Incorporating location and inventory decisions into a supply chain design problem with uncertain demands and lead times. Journal of Manufacturing Systems, 43, 139–149. https://doi.org/10.1016/j.jmsy.2017.02.010
  • Diabat, A., Jabbarzadeh, A., & Khosrojerdi, A. (2019). A perishable product supply chain network design problem with reliability and disruption considerations. International Journal of Production Economics, 212, 125–138. https://doi.org/10.1016/j.ijpe.2018.09.018
  • Dignum, F., Dignum, V., Davidsson, P., Ghorbani, A., van der Hurk, M., Jensen, M., Kammler, C., Lorig, F., Ludescher, L. G., & Melchior, A. (2020). Analysing the combined health, social and economic impacts of the corovanvirus pandemic using agent-based social simulation. Minds and Machines, 30(2), 177–194. https://doi.org/10.1007/s11023-020-09527-6
  • Dolgui, A., Ivanov, D., & Sokolov, B. (2018). Ripple effect in the supply chain: An analysis and recent literature. International Journal of Production Research, 56(1–2), 414–430. https://doi.org/10.1080/00207543.2017.1387680
  • Elliott, R., Thomas, C., & Muhammad, K. (2019). BCI supply chain resilience report 2019, Business Continuity Institute, London.
  • Esmaili, M., Amjady, N., & Shayanfar, H. A. (2011). Multi-objective congestion management by modified augmented ε-constraint method. Applied Energy, 88(3), 755–766. https://doi.org/10.1016/j.apenergy.2010.09.014
  • Fan, Z., & Xie, X. (2022). A distributionally robust optimisation for COVID-19 testing facility territory design and capacity planning. International Journal of Production Research, 60(13), 4229–4252.
  • Fang, L., & Xu, S. (2020). Financing equilibrium in a green supply chain with capital constraint. Computers & Industrial Engineering, 143(May), 106390. https://doi.org/10.1016/j.cie.2020.106390
  • Fisher, M. L. (2004). The Lagrangian relaxation method for solving integer programming problems. Management Science, 50(12supplement), 1861–1871. https://doi.org/10.1287/mnsc.1040.0263
  • Gao, X., Huang, G., Zhao, Q., Cao, C., & Jiang, H. (2022). Robust optimization model for medical staff rebalancing problem with data contamination during COVID-19 pandemic. International Journal of Production Research, 60(5), 1737–1766. https://doi.org/10.1080/00207543.2021.1995793
  • Ghavamifar, A., Makui, A., & Taleizadeh, A. A. (2018). Designing a resilient competitive supply chain network under disruption risks: A real-world application. Transportation Research Part E: Logistics and Transportation Review, 115, 87–109. https://doi.org/10.1016/j.tre.2018.04.014
  • Giannoccaro, I., & Iftikhar, A. (2022). Mitigating ripple effect in supply networks: The effect of trust and topology on resilience. International Journal of Production Research, 60(4), 1178–1195. https://doi.org/10.1080/00207543.2020.1853844
  • Goodarzian, F., Ghasemi, P., Gunasekaren, A., Taleizadeh, A. A., & Abraham, A. (2021). A sustainable-resilience healthcare network for handling COVID-19 pandemic. Annals of Operations Research, 312(2), 761–825.
  • Gopalan, H. S., & Misra, A. (2020). COVID-19 pandemic and challenges for socio-economic issues, healthcare and national programs in India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(5), 757–759.
  • Gupta, N., & Soni, G. (2021). A decision-making framework for sustainable supply chain finance in post-COVID era. International Journal of Global Business and Competitiveness, 16(Suppl 1), 29–38. https://doi.org/10.1007/s42943-021-00028-6
  • Gupta, V., Ivanov, D., & Choi, T.-M. (2021). Competitive pricing of substitute products under supply disruption. Omega, 101(June ), 102279. https://doi.org/10.1016/j.omega.2020.102279.
  • Hamidieh, A., & Johari, A. (2022). Blood supply chain network design considering responsiveness and reliability in conditions of uncertainty using the Lagrangian relaxation algorithm. International Journal of Research in Industrial Engineering.
  • Haren, P., & Simchi-Levi, D. (2020). How coronavirus could impact the global supply chain by mid-March). Harvard Business Review, 28(February). https://hbr.org/2020/02/how-coronavirus-could-impact-the-global-supply-chain-by-mid-march?ab=hero-subleft-1
  • Hillier, D., Ross, S., Westerfield, R., Jaffe, J., & Jordan, B. (2013). Corporate finance. McGraw Hill.
  • Hofmann, E. (2005). Supply chain finance: Some conceptual insights. Beiträge Zu Beschaffung Und Logistik, 203–214.
  • Hofmann, E., & Belin, O. (2011). Supply chain finance solutions. Springer.
  • Hosseini, S. E. (2020). An outlook on the global development of renewable and sustainable energy at the time of COVID-19. Energy Research & Social Science, 68(October), 101633. https://doi.org/10.1016/j.erss.2020.101633
  • Hudecheck, M., Sirén, C., Grichnik, D., & Wincent, J. (2020). How companies can respond to the coronavirus. MIT Sloan Management Review.https://sloanreview.mit.edu/article/how-companies-can-respond-to-the-coronavirus
  • Hughes, A., Brown, J. A., Trueba, M., Trautrims, A., Bostock, B., Day, E., Hurst, R., & Bhutta, M. F. (2023). Global value chains for medical gloves during the COVID-19 pandemic: Confronting forced labour through public procurement and crisis. Global Networks, 23(1), 132–149. https://doi.org/10.1111/glob.12360
  • Iacus, S. M., Natale, F., Santamaria, C., Spyratos, S., & Vespe, M. (2020). Estimating and projecting air passenger traffic during the COVID-19 coronavirus outbreak and its socio-economic impact. Safety Science, 129(September), 104791. https://doi.org/10.1016/j.ssci.2020.104791
  • Islam, M., Azeem, A., Jabir, M., Paul, A., & Paul, S. K. (2020). An inventory model for a three-stage supply chain with random capacities considering disruptions and supplier reliability. Annals of Operations Research, 315(2), 1703–1728.
  • Ivanov, D. (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, 136(April), 101922. https://doi.org/10.1016/j.tre.2020.101922
  • Ivanov, D., & Dolgui, A. (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, 58(10), 2904–2915. https://doi.org/10.1080/00207543.2020.1750727
  • Ivanov, D., Dolgui, A., Sokolov, B., & Ivanova, M. (2017). Literature review on disruption recovery in the supply chain. International Journal of Production Research, 55(20), 6158–6174. https://doi.org/10.1080/00207543.2017.1330572
  • Ivanov, D., & Rozhkov, M. (2020). Coordination of production and ordering policies under capacity disruption and product write-off risk: An analytical study with real-data based simulations of a fast moving consumer goods company. Annals of Operations Research, 291(1), 387–407. https://doi.org/10.1007/s10479-017-2643-8
  • Ivanov, D., & Sokolov, B. (2019). Simultaneous structural–operational control of supply chain dynamics and resilience. Annals of Operations Research, 283(1), 1191–1210. https://doi.org/10.1007/s10479-019-03231-0
  • Ivanov, D., Sokolov, B., & Dolgui, A. (2014). The Ripple effect in supply chains: Trade-off ‘efficiency-flexibility-resilience’ in disruption management. International Journal of Production Research, 52(7), 2154–2172. https://doi.org/10.1080/00207543.2013.858836
  • Jabbarzadeh, A., Haughton, M., & Khosrojerdi, A. (2018). Closed-loop supply chain network design under disruption risks: A robust approach with real world application. Computers & Industrial Engineering, 116, 178–191. https://doi.org/10.1016/j.cie.2017.12.025
  • Jánošová, P. (2020). Decision making process of managers towards sustainability and environment affected by COVID-19. FORCE: Focus on Research in Contemporary Economics, 1(1), 19–30.
  • Jiménez, M., Arenas, M., Bilbao, A., & Rodrı, M. V. (2007). Linear programming with fuzzy parameters: An interactive method resolution. European Journal of Operational Research, 177(3), 1599–1609. https://doi.org/10.1016/j.ejor.2005.10.002
  • Jing, B., & Seidmann, A. (2014). Finance sourcing in a supply chain. Decision Support Systems, 58, 15–20. https://doi.org/10.1016/j.dss.2013.01.013
  • Johanis, D. (2007). How Toronto Pearson international airport applied lessons from SARS to develop a pandemic response plan. Journal of Business Continuity & Emergency Planning, 1(4), 356–368.
  • Kähkönen, A.-K., Evangelista, P., Hallikas, J., Immonen, M., & Lintukangas, K. (2021). COVID-19 as a trigger for dynamic capability development and supply chain resilience improvement. International Journal of Production Research, 1–20.
  • Kang, H., Jung, S.-Y., & Lee, H. (2020). The impact of Green Credit Policy on manufacturers’ efforts to reduce suppliers’ pollution. Journal of Cleaner Production, 248(2020), 119271. https://doi.org/10.1016/j.jclepro.2019.119271
  • Kaur, H., Singh, S. P., Garza-Reyes, J. A., & Mishra, N. (2020). Sustainable stochastic production and procurement problem for resilient supply chain. Computers & Industrial Engineering, 139(January 2020), 105560. https://doi.org/10.1016/j.cie.2018.12.007
  • Kazancoglu, Y., Yuksel, D., Sezer, M. D., Mangla, S. K., & Hua, L. (2022). A green dual-channel closed-loop supply chain network design model. Journal of Cleaner Production, 332, 130062. https://doi.org/10.1016/j.jclepro.2021.130062
  • Knemeyer, A. M., Zinn, W., & Eroglu, C. (2009). Proactive planning for catastrophic events in supply chains. Journal of Operations Management, 27(2), 141–153. https://doi.org/10.1016/j.jom.2008.06.002
  • Koonin, L. M. (2020). Novel coronavirus disease (COVID-19) outbreak: Now is the time to refresh pandemic plans. Journal of Business Continuity & Emergency Planning, 13(4), 298–312.
  • Kristofik, P., Kok, J., de Vries, S., & van Sten-van’t Hoff, J. (2012). Financial supply chain management – challenges and obstacles. ACRN Journal of Entrepreneurship Perspectives, 1(2), 77–88.
  • Kumar, V., Singh, S. B., & Singh, S. (2020). COVID-19: Environment concern and impact of Indian medicinal system. Journal of Environmental Chemical Engineering, 8(5), 104144.
  • Lai, Y.-J., & Hwang, C.-L. (1993). Possibilistic linear programming for managing interest rate risk. Fuzzy Sets and Systems, 54(2), 135–146. https://doi.org/10.1016/0165-0114(93)90271-I
  • Laing, T. (2020). The economic impact of the coronavirus 2019 (COVID-2019): Implications for the mining industry. The Extractive Industries and Society, 7(2), 580–582. https://doi.org/10.1016/j.exis.2020.04.003
  • Li, Y., Chen, K., Collignon, S., & Ivanov, D. (2021). Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability. European Journal of Operational Research, 291(3), 1117–1131. https://doi.org/10.1016/j.ejor.2020.09.053
  • Lin, Q., & He, J. (2019). Supply chain contract design considering the supplier’s asset structure and capital constraints. Computers & Industrial Engineering, 137, 106044. https://doi.org/10.1016/j.cie.2019.106044
  • Linton, T., & Vakil, B. (2020). Coronavirus is proving we need more resilient supply chains. Harvard Business Review.
  • Luo, Y., Wei, Q., Ling, Q., & Huo, B. (2020). Optimal decision in a green supply chain: Bank financing or supplier financing. Journal of Cleaner Production, 271, 122090. https://doi.org/10.1016/j.jclepro.2020.122090
  • Malik, A. I., & Sarkar, B. (2020). Disruption management in a constrained multi-product imperfect production system. Journal of Manufacturing Systems, 56, 227–240. https://doi.org/10.1016/j.jmsy.2020.05.015
  • Matsui, K. (2023). Dual-recycling channel reverse supply chain design of recycling platforms under acquisition price competition. International Journal of Production Economics, 259, 108769.
  • Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied Mathematics and Computation, 213(2), 455–465. https://doi.org/10.1016/j.amc.2009.03.037
  • Miao, Y., Gu, J., Zhang, L., He, R., Sandeep, S., & Wu, J. (2018). Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: A quasi-experimental evaluation study from rural China. International Journal for Equity in Health, 17(1), 1–13. https://doi.org/10.1186/s12939-018-0799-8
  • Modares, A., Kazemi, M., Emroozi, V. B., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on Internet of Things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993–8028. https://doi.org/10.3934/jimo.2023028
  • Mogaji, E. (2020). Financial vulnerability during a pandemic: Insights for coronavirus disease (COVID-19). Mogaji, 2020(5), 57–63.
  • Mohammed, A., Jabbour, A. B. L. d. S., & Diabat, A. (2021). COVID-19 pandemic disruption: A matter of building companies’ internal and external resilience. International Journal of Production Research, 61(8), 2716–2737.
  • Mohtashami, Z., Aghsami, A., & Jolai, F. (2020). A green closed loop supply chain design using queuing system for reducing environmental impact and energy consumption. Journal of Cleaner Production, 242, 118452. https://doi.org/10.1016/j.jclepro.2019.118452
  • Moosavi, J., Fathollahi-Fard, A. M., & Dulebenets, M. A. (2022). Supply chain disruption during the COVID-19 pandemic: Recognizing potential disruption management strategies. International Journal of Disaster Risk Reduction, 75, 102983.
  • Muhammad, S., Long, X., & Salman, M. (2020). COVID-19 pandemic and environmental pollution: A blessing in disguise? Science of the Total Environment, 728, 138820. https://doi.org/10.1016/j.scitotenv.2020.138820
  • Nobari, A., Kheirkhah, A., & Esmaeili, M. (2019). Considering chain-to-chain competition on environmental and social concerns in a supply chain network design problem. International Journal of Management Science and Engineering Management, 14(1), 33–46. https://doi.org/10.1080/17509653.2018.1474142
  • Ozdemir, D., Sharma, M., Dhir, A., & Daim, T. (2022). Supply chain resilience during the COVID-19 pandemic. Technology in Society, 68, 101847. https://doi.org/10.1016/j.techsoc.2021.101847
  • Ozili, P. (2020). COVID-19 in Africa: Socio-economic impact, policy response and opportunities. International Journal of Sociology and Social Policy.
  • Parra, M. A., Terol, A. B., Gladish, B. P., & Urıa, M. R. (2005). Solving a multiobjective possibilistic problem through compromise programming. European Journal of Operational Research, 164(3), 748–759. https://doi.org/10.1016/j.ejor.2003.11.028
  • Paul, S. K., Moktadir, M. A., Sallam, K., Choi, T.-M., & Chakrabortty, R. K. (2021). A recovery planning model for online business operations under the COVID-19 outbreak. International Journal of Production Research, 61(8), 2613–2635.
  • Paul, S. K., Sarker, R., & Essam, D. (2016). Managing risk and disruption in production-inventory and supply chain systems: A review. Journal of Industrial and Management Optimization, 12(2016), 1009–1029.
  • Paul, S. K., Sarker, R., Essam, D., & Lee, P. T.-W. (2019). A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain. Annals of Operations Research, 280(1), 299–335. https://doi.org/10.1007/s10479-019-03251-w
  • Pavlov, A., Ivanov, D., Pavlov, D., & Slinko, A. (2019). Optimization of network redundancy and contingency planning in sustainable and resilient supply chain resource management under conditions of structural dynamics. Annals of Operations Research, 1–30. https://doi.org/10.1007/s10479-019-03182-6
  • Peidro, D., Mula, J., Jiménez, M., & del Mar Botella, M. (2010). A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. European Journal of Operational Research, 205(1), 65–80. https://doi.org/10.1016/j.ejor.2009.11.031
  • Pfohl, H.-C., & Gomm, M. (2009). Supply chain finance: Optimizing financial flows in supply chains. Logistics Research, 1(3-4), 149–161. https://doi.org/10.1007/s12159-009-0020-y
  • Pishvaee, M. S., & Torabi, S. A. (2010). A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets and Systems, 161(20), 2668–2683. https://doi.org/10.1016/j.fss.2010.04.010
  • Raghavan, N. S., & Mishra, V. K. (2011). Short-term financing in a cash-constrained supply chain. International Journal of Production Economics, 134(2), 407–412. https://doi.org/10.1016/j.ijpe.2009.11.014
  • Raj, A., Mukherjee, A. A., de Sousa Jabbour, A. B. L., & Srivastava, S. K. (2022). Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned. Journal of Business Research, 142, 1125–1139. https://doi.org/10.1016/j.jbusres.2022.01.037
  • Rakshit, B., & Basistha, D. (2020). Can India stay immune enough to combat COVID-19 pandemic? An economic query. Journal of Public Affairs, 20(4). Article e2157. https://doi.org/10.1002/pa.2157.
  • Rosenthal, R. (2013). General algebraic modeling system (GAMS) user guide. GAMS Development Corporation.
  • Schwendicke, F., Krois, J., & Gomez, J. (2020). Impact of SARS-CoV2 (COVID-19) on dental practices: Economic analysis. Journal of Dentistry, 99, 103387. https://doi.org/10.1016/j.jdent.2020.103387
  • Seifert, D., Seifert, R. W., & Protopappa-Sieke, M. (2013). A review of trade credit literature: Opportunities for research in operations. European Journal of Operational Research, 231(2), 245–256. https://doi.org/10.1016/j.ejor.2013.03.016
  • Shahsavani, I., & Goli, A. (2023). A systematic literature review of circular supply chain network design: Application of optimization models. Environment, Development and Sustainability, 1–32. https://doi.org/10.1007/s10668-023-03362-2
  • Sharma, H. B., Vanapalli, K. R., Cheela, V. S., Ranjan, V. P., Jaglan, A. K., Dubey, B., Goel, S., & Bhattacharya, J. (2020). Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic. Resources, Conservation and Recycling, 162, 105052. https://doi.org/10.1016/j.resconrec.2020.105052
  • Shen, B., Liu, Y., Quan, V., & Wen, X. (2021). Supplying masks to combat respiratory diseases: Safety index, welfare and government involvement. International Journal of Production Research, 61(8), 2636–2652.
  • Shen, Z. M., & Sun, Y. (2023). Strengthening supply chain resilience during COVID-19: A case study of JD.com. Journal of Operations Management, 69(3), 359–383. https://doi.org/10.1002/joom.1161
  • Silva, P. C., Batista, P. V., Lima, H. S., Alves, M. A., Guimarães, F. G., & Silva, R. C. (2020). COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions. Chaos, Solitons & Fractals, 139, 110088. https://doi.org/10.1016/j.chaos.2020.110088
  • Soleimani, H., Chhetri, P., Fathollahi-Fard, A. M., Al-e-Hashem, S. M., & Shahparvari, S. (2022). Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics. Annals of Operations Research, 318(1), 531–556.
  • Soltanisehat, L., Ghorbani-Renani, N., González, A. D., & Barker, K. (2022). Assessing production fulfillment time risk: Application to pandemic-related health equipment. International Journal of Production Research, 1–22. https://doi.org/10.1080/00207543.2022.2036381
  • Taleizadeh, A. A., Ahmadzadeh, K., Sarker, B. R., & Ghavamifar, A. (2022). Designing an optimal sustainable supply chain system considering pricing decisions and resilience factors. Journal of Cleaner Production, 332, 129895. https://doi.org/10.1016/j.jclepro.2021.129895
  • Taleizadeh, A. A., Ghavamifar, A., & Khosrojerdi, A. (2020). Resilient network design of two supply chains under price competition: Game theoretic and decomposition algorithm approach. Operational Research, 22(1), 825–857. https://doi.org/10.1007/s12351-020-00565-7
  • Taleizadeh, A. A., & Nematollahi, M. (2014). An inventory control problem for deteriorating items with back-ordering and financial considerations. Applied Mathematical Modelling, 38(1), 93–109. https://doi.org/10.1016/j.apm.2013.05.065
  • Taleizadeh, A. A., Niaki, S. T. A., & Nikousokhan, R. (2011). Constraint multiproduct joint-replenishment inventory control problem using uncertain programming. Applied Soft Computing, 11(8), 5143–5154. https://doi.org/10.1016/j.asoc.2011.05.045
  • Taleizadeh, A. A., Wee, H.-M., & Sadjadi, S. J. (2010). Multi-product production quantity model with repair failure and partial backordering. Computers & Industrial Engineering, 59(1), 45–54. https://doi.org/10.1016/j.cie.2010.02.015
  • Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451–488. https://doi.org/10.1016/j.ijpe.2005.12.006
  • Tirkolaee, E. B., & Aydin, N. S. (2022). Integrated design of sustainable supply chain and transportation network using a fuzzy bi-level decision support system for perishable products. Expert Systems with Applications, 195, 116628. https://doi.org/10.1016/j.eswa.2022.116628
  • Tirkolaee, E. B., Golpîra, H., Javanmardan, A., & Maihami, R. (2023). A socio-economic optimization model for blood supply chain network design during the COVID-19 pandemic: An interactive possibilistic programming approach for a real case study. Socio-Economic Planning Sciences, 85, 101439. https://doi.org/10.1016/j.seps.2022.101439
  • Torabi, S., Baghersad, M., & Mansouri, S. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22–48. https://doi.org/10.1016/j.tre.2015.03.005
  • Valizadeh, J., Boloukifar, S., Soltani, S., Hookerd, E. J., Fouladi, F., Rushchtc, A. A., Du, B., & Shen, J. (2023). Designing an optimization model for the vaccine supply chain during the COVID-19 pandemic. Expert Systems with Applications, 214, 119009. https://doi.org/10.1016/j.eswa.2022.119009
  • Vidal, C. J., & Goetschalckx, M. (2001). A global supply chain model with transfer pricing and transportation cost allocation. European Journal of Operational Research, 129(1), 134–158. https://doi.org/10.1016/S0377-2217(99)00431-2
  • Wang, Q., & Su, M. (2020). A preliminary assessment of the impact of COVID-19 on environment – a case study of China. Science of the Total Environment, 728, 138915. https://doi.org/10.1016/j.scitotenv.2020.138915
  • Wang, R.-C., & Liang, T.-F. (2005). Applying possibilistic linear programming to aggregate production planning. International Journal of Production Economics, 98(3), 328–341. https://doi.org/10.1016/j.ijpe.2004.09.011
  • WHO. (2020). WHO Director-General’s opening remarks at the media briefing on COVID-19 – 11 March 2020. Retrieved from https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19—11-march-2020.
  • Wuttke, D. A., Blome, C., Heese, H. S., & Protopappa-Sieke, M. (2016). Supply chain finance: Optimal introduction and adoption decisions. International Journal of Production Economics, 178, 72–81. https://doi.org/10.1016/j.ijpe.2016.05.003
  • Xu, X., Chen, X., Jia, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply chain finance: A systematic literature review and bibliometric analysis. International Journal of Production Economics, 204, 160–173. https://doi.org/10.1016/j.ijpe.2018.08.003
  • Yu, Z., & Rehman Khan, S. A. (2022). Evolutionary game analysis of green agricultural product supply chain financing system: COVID-19 pandemic. International Journal of Logistics Research and Applications, 25(7), 1115–1135. https://doi.org/10.1080/13675567.2021.1879752
  • Zambrano-Monserrate, M. A., Ruano, M. A., & Sanchez-Alcalde, L. (2020). Indirect effects of COVID-19 on the environment. Science of the Total Environment, 728, 138813. https://doi.org/10.1016/j.scitotenv.2020.138813
  • Zand, A. D., & Heir, A. V. (2020). Emerging challenges in urban waste management in Tehran, Iran during the COVID-19 pandemic. Resources, Conservation and Recycling, 162, 105051. https://doi.org/10.1016/j.resconrec.2020.105051
  • Zubairu, N., J. Dinwoodie, K. Govindan, L. Hunter and S. Roh (2021). Supply chain strategies as drivers of financial performance in liquefied natural gas networks. Supply Chain Management: An International Journal, 26(5), 579–591.https://doi.org/10.1108/SCM-08-2020-0389

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.