International Journal of Nonlinear Analysis and Applications
Planning an analytical model for assessing supply chain resilience to various types of risks: Case study of Iran petrochemical industries
Document Type : Research Paper
Author
Department of Management, Yasouj Branch, Islamic Azad University, Yasouj, Iran
Abstract
The examination aims to create and test a scientific model for strength appraisal of production network chances against the dangers of framework and its individual levels. In such manner a multi-technique research approach is received as follows: By utilizing information envelopment investigation (DEA) and fluffy set hypothesis, a fluffy organization DEA model has been proposed to survey danger in generally supply chains and their individual levels. The proposed model is tried by studying of 130 individuals in specific petrochemical organizations in Iran. The overview results show a generous variety in flexibility evaluations between the general petrochemical supply chains and their individual levels. The examination aims to create and test a scientific model for strength appraisal of production network chances against the dangers of framework and its individual levels. In such manner a multi-technique research approach is received as follows: By utilizing information envelopment investigation (DEA) and fluffy set hypothesis, a fluffy organization DEA model has been proposed to survey danger in generally supply chains and their individual levels. The proposed model is tried by studying of 130 individuals in specific petrochemical organizations in Iran. The overview results show a generous variety in flexibility evaluations between the general petrochemical supply chains and their individual levels.
Keywords
[2] J. Blackhurst, K.S. Dunn and C.W. Craighead, An empirically derived framework of global supply resiliency, J. Bus. Logistics 32 (2011), no. 4, 374–391.
[3] H. Carvalho, Resilience index: Proposal and application in the automotive supply chain, Proc. 18th EUROMA ., Cambridge, UK, 2011, pp. 3–6.
[4] M. Christopher, Creating resilient supply chains, Logistics Eur. 12 (2014), no. 1, 14–21.
[5] M. Christopher and H. Peck, Building the resilient supply chain, Int. J. Logistics Manag. 15 (2004), no. 2, 1–14.
[6] R. Geng, S.A. Mansouri and E. Aktas, The relationship between green supply chain management and performance: A meta-analysis of empirical evidences in Asian emerging economies, Int. J. Prod. Econ. 183 (2017), 245–258.
[7] D. Ivanov and B. Sokolov, Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty, European J. Operat. Res. 224 (2013), no. 2, 313–323.
[8] S. Jackson and T.L. Ferris, Resilience principles for engineered systems, Syst. Eng. 16 (2013), no. 2, 152–164.
[9] A. Jafarnejad Chaghooshi, A. Kazemi and A. Arab, Identification and prioritization of supplier’s resiliency evaluation criteria based on BWM, J. Ind. Manag. Perspect. 6 (2016), no. 3, 159–186.
[10] U. J¨uttner, Supply chain risk management: Understanding the business requirements from a practitioner perspective, Int. J. Logistics Manag. 16 (2005), no. 1, 120–141.
[11] U. J¨uttner, M. Christopher and S. Baker, Demand chain management- integrating marketing and supply chain management, Indust. Market. Manag. 36 (2007), no. 3,377–392.
[12] A.M. Knemeyer, W. Zinn and C. Eroglu, Proactive planning for catastrophic events in supply chains, J. Oper. Manag. 27 (2009), no. 2, 141–153.
[13] C.L. Liu, K.C. Shang, T.C. Lirn, K.H. Lai and Y.V. Lun, Supply chain resilience, firm performance, and management policies in the liner shipping industry, Transport. Res. Part A: Policy Practice 110 (2018), 202–219.
[14] R.K. Malviya, R. Kant and A.D. Gupta, Evaluation and selection of sustainable strategy for green supply chain management implementation, Bus. Strategy Envir. 27 (2018), no. 4, 475–502.
[15] S. Mandal, Supply chain resilience: A state-of-the-art review and research directions, Int. J. Disaster Resilience Built Envir. 5 (2014), no. 4, 427–453.
[16] P. Mensah and M. Yuri, Developing a resilient supply chain, Proc. Soc. Behav. Sci. 110 (2014), 309–319.
[17] J.T. Mentzer, W. DeWitt, S.J. Keebler, S. Min, N.W. Nix, C.D. Smith, Z.G. Zacharia, Defining supply chain management, J. Bus. Logistics 22 (2001), no. 2, 1–25.
[18] M. Mobin, A. Roshani, M. Saeedpoor and M.M. Mozaffari, Integrating FAHP with COPRAS-G method forsupplier selection (case study: An Iranian manufacturing company), Proc. Int. Ann. Conf. Amer. Soc. Engin. Manag., American Society for Engineering Management (ASEM), 2015, pp. 1.
[19] M.M. Motebaheri and K. Fallahi, Evaluation of the impact of export relationship quality and expectation of continuing relationship with the mediating role of financial performance, strategic performance, and exporter satisfaction, J. Organ. Behav. Res. 3 (2018), no. S2, 1–9.
[20] E. Nikbakhsh, Green supply chain management, Supply chain and logistics in national, international and governmental environment, Physica-Verlag HD, 2009, pp. 195–220.
[21] T.J. Pettit, K.L. Croxton and J. Fiksel, Ensuring supply chain resilience: development and implementation of an assessment tool, J. Bus. Logistics 34 (2013), no. 1, 46–76.
[22] T.J. Pettit, J. Fiksel and K.L. Croxton, Ensuring supply chain resilience: development of a conceptual framework, J. Bus. Logistics 31 (2010), no. 1, 1–21.
[23] R. Rajesh and V. Ravi, Modeling enablers of supply chain risk mitigation in electronic supply chains: A grey–DEMATEL approach, Comput. Indust. Eng. 87 (2015), 126–139.
[24] X. Rueda, R.D. Garrett and E.F. Lambin, Corporate investments in supply chain sustainability: Selecting instruments in the agrifood industry, J. Cleaner Prod. 142 (2017), 2480–2492.
[25] S. Saei and E. Najafi, Utilization of the data envelopment analysis to evaluate of the triplet leveled supply chain function, Ind. Manag. 8 (2013), no. 25.
[26] A.J. Schmitt and M. Singh, A quantitative analysis of disruption risk in a multi-echelon supply chain, Int. J. Prod. Econ. 139 (2012), no. 1, 22–32.
[27] Y. Sheffi, The resilient enterprise: Overcoming vulnerability for competitive advantage, MIT Press Books, 2005.
[28] U. Soni, V. Jain and S. Kumar, Measuring supply chain resilience using a deterministic modeling approach, Comput. Ind. Eng. 74 (2014), 11–25.
[29] G.A. Susana, H. Carvalho and V.C. Machado, The influence of green practices on supply chain performance: A case study approach, Transport. Res. Part E: Logistics Transport. Rev. 47 (2011), no. 6, 850–871.
[30] K.M. Sutcliffe, Organizing for resilience, Positive Organ. Scholarship: Found. New Discipline 94 (2003).
[31] A. Vafadarnikjoo, M. Mobin, S. Allahi and A. Rastegari, A hybrid approach of intuitionistic fuzzy set theory and DEMATEL method to prioritize selection criteria of bank branches locations, Proc. Int. Ann. Conf. Amer. Soc. Engin. Manag., American Society for Engineering Management (ASEM), 2015.
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Volume 14, Issue 5
May 2023Pages 303-323
- Receive Date: 14 June 2022
- Revise Date: 15 September 2022
- Accept Date: 20 September 2022