Quarterly Publication

Document Type : Original Article

Authors

1 Phd Student, Production and Operations Management, Industrial Management Department, Yazd University, Yazd, Iran

2 Associate Professor, Industrial Management Department, Yazd University, Yazd, Iran

3 Assistant Professor, Industrial Management Department, Yazd University, Yazd, Iran

Abstract

Today, random and intelligent risks have made supply management disruptive much more than before. Over the past decade, many supply network (SN) disruptions in oil and gas industry have been due to the deliberate risks posed by international sanctions. Undoubtedly, resilience in general and resilience of SN in particular has been a systematic method for firms and organizations to deal with disruptions. This study aimed to measure, assess, and compare the resilience of SNs in oil and gas companies based on a mixed approach of systematic literature review (SLR) and complex adaptive systems (CAS). The statistical population of the study consisted of 11 subsidiaries of the National Iranian Oil Company. A robust systematic review of the literature was conducted to collect all the crucial components of supply network resilience (SNR) from 608 articles that ultimately resulted in 40 key factors based on the context intervention mechanism outcome logic (CIMO-logic). Quantitative analysis was carried out in the upstream sector of three subsidiaries of Iranian Central Oil Fields Company (ICOFC) including South Zagros, East and West Oil and Gas Production Companies. The results demonstrated a relationship between components and their measurement in upstream companies. A further finding is that South Zagros Oil and Gas Production Company was more resilient than the other two companies. 

Keywords

Main Subjects

Adger, W.N., Hughes, T.P., Folke, C., Carpenter, S.R., and Rockstro M, J. (2005), “Social-ecological resilience to coastal disasters”, Science, Vol. 309 No. 5737, pp. 1036–1039.
Bahadur, A., Ibrahim, M., and Tanner, T. (2010), “The resilience renaissance? Unpacking of resilience for tackling climate change and disasters”, Strengthening Climate Resilience Discussion Paper 1, Institute of Development Studies, Brighton, 45pp.
Birkmann, J. (2006), “Indicators and criteria for measuring vulnerability: theoretical bases and criteria”, in Birkmann, J. (Ed.), Measuring Vulnerability to Natural Hazards, Towards Disaster Resilient Societies, UNU Press, Tokyo, 550 pp.
Braziotis, C., Bourlakis, M., Rogers, H., and Tannock, F. (2013), “Supply chains and supply networks: distinctions and overlaps”, Supply Chain Management: An International Journal, Vol. 18 No. 6, pp. 644–65.
Brusset, X., and Teller, C. (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics 184, 59–68.
Buckle, P., Marsh, G., and Smale, S. (2001), “Assessment of personal and community resilience and vulnerability”, EMA Project Report No. 15/2000 49, EMA.
Canbolat, Y. B., Chelst, K., and Garg, N. (2007), “Combining decision tree and MAUT for selecting a country for a global manufacturing facility”, Omega, Vol. 35, pp. 312–325.
Cannon, T. (2007), “Reducing people’s vulnerability to natural hazards: communities and resilience”, WIDER Conference on Fragile States–Fragile Groups: Tackling Economic and Social Vulnerability, WIDER, Helsinki, 15–16 June.
Carvalho, H., Duarte, S., and V. C., Machado. (2011). Lean, agile, resilient and green: divergencies and synergies, International Journal of Lean Six Sigma, Vol. 2, No. 2, 151–179.
Choi, T.Y., and Krause, D.R. (2006), “The supply base and its complexity: implications for transaction costs, risks, responsiveness, and innovation”, Journal of Operations Management, Vol. 24 No. 5, pp. 637–652.
Chowdhury, M. H. (2014), “Supply chain sustainability and resilience: the case of apparel industry in Bangladesh”, Doctoral Dissertation, Curtin University.
Cutter, S.L., Barnes, L., Berry, M., Burton, C., Evans, E., Tate, E., and Webb, J. (2008), Community and regional resilience: perspectives from hazards, disasters, and emergency management, CARRI Research Report No. 1, Community and Regional Resilience Initiative Oak Ridge National Lab, Oak Ridge, TN.
Day Jamison M. (2014) “Fostering emergent resilience: the complex adaptive supply network of disaster relief”; International Journal of Production Research, 52 (7): 1970–1988.
Dormady, N., Roa-Henriquez, A., and Rose, A. (2019). Economic resilience of the firm: a production theory approach, International Journal of Production Economics, doi: 10.1016/j.ijpe.2018.07.017.
Faisal MN, Banwet DK., and Shankar R. (2007); “Quantification of risk mitigation environment of supply chains using graph theory and matrix methods”, European J. Industrial Engineering, Vol. 1, No. 1, pp. 29–39.
Gallopin, G.C. (2006), “Linkages between vulnerability, resilience, and adaptive capacity”, Global Environmental Change, Vol. 16 No. 3, pp. 293–303.
Håkansson, H., and Snehota, I. (1989), “No business is an island: the network concept of business strategy”, Scandinavian Journal of Management, Vol. 5, No.3, pp. 187–200.
Håkansson, H., and Snehota, I. (2000), “The IMP perspective: assets and liabilities of business relationships”, in Sheth, J.N. and Parvatiyar, A. (Eds), Handbook of Relationship Marketing, Sage, Thousand Oaks, CA, pp. 69–93.
Harrison, T. P., Houm, P. J., Thomas, D.J., and Craighead, C.W. (2013), “Supply chain disruptions are inevitable–get ready: resiliency enhancement analysis via deletion and insertion”, Transportation Journal, Vol. 52 No. 2, pp. 264–276.
Hohenstein, N., Feisel, E., Hartmann, E., and Giunipero, L. (2015), “Research on the phenomenon of supply chain resilience”, International Journal of Physical Distribution and Logistics Management, Vol. 45 No. 1–2, pp. 90–117.
Hosseini, S., and Barker, K. (2016). A Bayesian network model for resilience-based supplier selection, International Journal of Production Economics, 180: 68–87.
Hosseini, S., Morshedlou, N., Ivanov, D., Sarder, M. D., Barker, K., and Al-Khaled, A. (2019). Resilient supplier selection and optimal order allocation under disruption risks, International Journal of Production Economics, doi: 10.1016/j.ijpe.2019.03.018.
Klibi, W., and Martel, A. (2012), “Modeling approaches for the design of resilient supply networks under disruptions”, International Journal of Production Economics, Vol. 135 No. 2, pp, 882–898.
Klibi, W., Martel, A., and Guitouni, A. (2010), “The design of robust value-creating supply chain networks: a critical review”, European Journal of Operational Research, Vol. 203 No. 2, pp. 283–293.
Kochan, S. G. (2015). The impact of cloud-based supply chain management on supply chain resilience, Doctor of Philosophy, University of North Texas.
Kraaijenbrink J., Spender J.-C., and Groen A. J. (2010) "The resource-based view: a review and assessment of its critiques"; Journal of Management 36 (1): 349–372.
Kungwalsong, K. (2013), “Managing disruptions risks in global supply chains”, Doctoral Dissertation, The Pennsylvania State University.
Kwesi-Bour, (2015), “Applying system dynamics modelling to building resilient logistics: a case of the Humber ports complex”, Doctoral Dissertation, University of Hull.
Lambert, D. M., and Cooper, M. C. (2000), “Issues in supply chain management”, Industrial Marketing Management, Vol. 29, No.1, pp. 65–83.
Ledwoch, A., Yasarcan, H., and Brintrup. (2018). the moderating impact of supply network topology on the effectiveness of risk management, International Journal of Production Economics, 197: 13–26.
Levalle, R. R., and Nof, S. Y. (2015). A resilience by teaming framework for collaborative supply networks, Computers and Industrial Engineering, Vol 90, 67: 85.
Li, Y. (2017). Disruption information, network topology and supply chain resilience, Doctor of Philosophy, Business Information Technology Virginia Polytechnic Institute and State University.
Lusch, R.F., Vargo, S.L., and Tanniru, M. (2010), “Service, value networks and learning”, Journal of the Academy of Marketing Science, Vol. 38 No. 1, pp. 19–31.
Manikandan, U.D. (2008), “Modeling and analysis of a four state multi-period supply chain”, Master Thesis, Department of Industrial and Manufacturing Engineering, Pennsylvania State University.
Mari, S. I., Lee, Y. H., Memon, M. S., Park, Y. S., and Kim, M. (2015). Adaptive of complex network topologies for designing resilient supply chain networks, International Journal of Industrial Engineering, 22 (1), 102: 116.
Min, H., and Zhou, G. (2002), “Supply chain modeling: past, present and future”, Computers and Industrial Engineering, Vol. 43 Nos 1–2, pp. 231–49.
Mizgier, K. J., Wagner, S., and Juttner, M. P. (2015), “Disentangling diversification in supply chain networks”, International Journal of Production Economics, Vol. 162, pp. 115–124.
Pereira, C., Christopher, M., and Da Silva, L. (2014), “Achieving supply chain resilience: the role of procurement, Supply Chain Management: An International Journal, Vol. 19 No. 5–6, pp. 626–642.
Pettit, T. J., Fiksel, J., and Croxton, K. L. (2010), “Ensuring supply chain resilience: development of a conceptual framework”, Journal of Business Logistics, Vol. 31 No. 1, pp. 1–21.
Pettit, T.J., Croxton, K.L., and Fiksel, J. (2013), “Ensuring supply chain resilience development and implementation of an assessment tool”, Journal of Business Logistics, Vol. 34 No. 1, pp. 46–76.
Ponomarov, S., and Holcomb, C. (2009), “Understanding the concept of supply chain resilience”, International Journal of Logistics Management, Vol. 20 No. 1, pp. 124– 143.
Rezapour, S., Srinivasan, R.S., Tew, J., Allen, J.K., and Mistree, F. (2018).“Correlation between strategic and operational risk mitigation strategies in supply networks”, International Journal of Production Economics, doi: 10.1016/j.ijpe.2018.04.014.
Ritter, T., Wilkinson, I.F., and Johnston, W.J. (2004), “Managing in complex business networks”, Industrial Marketing Management, Vol. 33 No. 3, pp. 175–183.
Sawik, T. (2013). Selection of resilient supply portfolio under disruption risks, Omega, Vol. 41, 259: 269.
Schmitt, A. J., and Singh, M. (2012). A quantitative analysis of disruption risk in a multi-echelon supply chain, International Journal of Production Economics, Vol. 139, 22–32.
Solo, C. J. (2009), “Multi-objective, integrated supply chain design and operation under uncertainty, PhD Thesis”, Pennsylvania State University.
Soni U., Jain V., and Kumar S. (2014) “Measuring supply chain resilience using a deterministic modeling approach”. Computers and Industrial Engineering, 74: 11–25.
Sudmeier-Rieux, K. I., and Switzerland, L. (2014), “Resilience-an emerging paradigm of danger or of hope?”, Disaster Prevention and Management, Vol. 23 No. 1, pp. 67–80.
Timmermann, P. (1981), “Vulnerability, resilience, and the collapse of society”, Environmental Monograph, Institute for Environmental Studies, University of Toronto, Toronto.
Tipper, D. (2013), “Resilient network design: challenges and future directions”. Springer Science+Business Media New York, pp. 1–12.
Tukamuhabwa B. R., Stevenson M., Busby J., and Zorzini M. (2015) “Supply chain resilience: Definition, review and theoretical Foundations for further study”; International Journal of Production Research, (ahead-of-print), 1–32.
Turner, B., Kasperson, R., Matsone, P., McCarthy, J., Corell, R., Christensene, L., Eckley, N., Kasperson, J., Luerse, A., Martellog, M., Polskya, C., Pulsiphera, A., and Schillerb, A. (2003), “A framework for vulnerability analysis in sustainability science”, PNAS, Vol. 100 No. 14, pp. 8074–8079.
Uzzi, B. (1997), “Social structure and competition in interfirm networks: the paradox of embeddedness”, Administrative Science Quarterly, Vol. 42 No. 1, pp. 35–67.
Wagner S. M., and Neshat N. (2010) “Assessing the vulnerability of supply chains using graph theory”; International Journal of Production Economics, 126 (1):121–129.
Wikipedia contributors. (2019, December 2). Fuzzy logic. In Wikipedia, the Free Encyclopedia. Retrieved 9:47 p.m., December 2, 2019, from https://en.wikipedia.org/wiki/Fuzzy_logic.