Future Study of Supply Chain in Oil Industry with Scenario Planning Approach

Document Type : Research Paper

Authors

1 Qom Islamic Azad University

2 university of qom

3 Assistant Professor, College of Farabi, University of Tehran, Iran

Abstract

Purpose: Effective supply chain plays a significant role in the production and distribution of petroleum and petrochemical products in the country. This study seeks to identify key factors and plausible scenarios for the future supply chain of the oil industry.
Method: This research is applied from the point of view of orientation and it is positivist from philosophical point of view and it is a multiple research.For this purpose, the key factors affecting the future of the oil supply chain were identified by reviewing the literature and interviewing the experts and then using these binomial tests were screened. Two GBN and Dematel techniques were used to select the final key forces. The probable scenario was chosen with one of the decision making techniques.
Findings: Using GBN and DEMATEL techniques, two key forces of external sanctions and macroeconomic policies related to strengthening were selected for mapping the scenarios. Based on these two key forces, the four scenarios of closed supply chain, fragile supply chain, robust supply chain and dynamic supply chain were developed. Each of these scenarios represents a situation for the future of oil supply chain. According to the criteria of conformity with internal trends, conformity with international trends, probability based on reality, and consistency with current data, closed supply chain scenario was selected as the most probable scenario.
Conclusion: Dynamic supply chain shows the best situation in terms of reducing external sanctions and appropriate reinforcement policies and on the other hand, the closed supply chain describes an isolated and vulnerable system to threats.

Keywords


References
1.   Akimova, I. (2000) Development of Market Orientation and Competitivenessof Ukrainian Firms; European Journal of Marketing, 34( 9/10), 1128-1148.
2.   Andriof, J., Waddock, S., Husted, B., & Rahman, S. S. (2017). Unfolding stakeholder thinking: Theory, responsibility and engagement. Routledge.
3.   Becker, P. (2002). Corporate foresight in Europe: a first overview. WORKING PAPER, Institute for Science and Technology Studies, University of Bielefeld, Germany
4.   Bell, W. (2003) Foundations of Futures Studies (2th ed.), New Jersey: Transaction Publishers.
5.   Bendell, T. (2014). Building Anti-fragile Organisations: Risk, Opportunity and Governance in a Turbulent World. Routledge.
6.   Berdine, M & et al. (2008). Analysis of Supply Chain Strategies Used by The United States Textile and Apparel Industries, Research Journal of Textile and Apparel, 12(3), 1-17.
7.   Bigdeli, H.; Tayyebi, J (2016). Providing a model and solution method for fuzzy security games and its application in future studies on security threats. Defensive Future Studies. 2(6), 7-29. (in persain)
8.   Carter, C. R., & Liane Easton, P. (2011). Sustainable supply chain management: evolution and future directions. International journal of physical distribution & logistics management, 41(1), 46-62.
9.   Chahar Soghi, S. K & et al. (2012). Future study in the field of energy and evaluation of country energy management strategies using scenario planning. Journal of Management Improvement. 6(4), 5–33.
10.     Checkland, P. (2000). Soft syst.ems methodology: a thirty-year retrospective. Systems Research and Behavioral Science, 17, S11 – S58
11.     Chopra, S., & Meindl, P. (2007). Supply chain management. Strategy, planning & operation. In Das summa summarum des management, 265-275.
12.     Fathi, M.R., Maleki, M.H., Sobhani, S.M. and Koksal, C.D. (2020), Future study of operations research based on scenario planning and soft systems methodology, Foresight, 22(2), 223-249.
13.     Ghanbari, A; Vaezi, M; Amjadi, Z (2018). An Analysis of the Energy Consumption Status in the Framework of Future Study Case Study: Tabriz City. Journal of Futures Studies Management. 29(114), 53-73. (in Persian)
14.     Gholipour, N. (2013). Presenting an Appropriate Model for Investment Development in Iranian Oil and Gas Industry. Exploration and Production Monthly, 99, 30-37.
15.     Hideg, E., Nováky, E., & Alács, P. (2014). Interactive foresight on the Hungarian SMEs. Foresight, 16 (4), 344-359, 
16.     Hillary, R. (Ed.) (2000). Small and Medium-Sized Enterprises and the Environment: Business Imperatives, Greenleaf Publishing.
17.     Højland, J., & Rohrbeck, R. (2018). The role of corporate foresight in exploring new markets–evidence from 3 case studies in the BOP markets. Technology Analysis & Strategic Management, 30(6), 734-746.
18.     Jandaghi, G.R., Fathi, M.R., Maleki, M., Faraji, O., Yüzbaşıoğlu, N. (2019). Identification of Tourism Scenarios in Turkey Based on Futures Study Approach, Almatourism-Journal of Tourism, Culture and Territorial Development, 10(20), 47-68.
19.     Johnson, J. & Gheorghe, A. V. (2013). Antifragility analysis and measurement framework for systems of systems. International Journal of Disaster Risk Science, 4(4), 159-168.
20.     Keramati, M. A; Naghdi, B. (2013). Future Scenarios in Downstream Projects of Iranian Oil, Gas, Petrochemical Industries. (in Persian)
21.     Kononiuk,A. & Glińska, E. (2015). Foresight in a small enterprise. A case study, Procedia - Social and Behavioral Sciences, 213, 971 – 976. 20th International Scientific Conference Economics and Management - (ICEM-2015).
22.     Kuosa, Tuomo (2011). Practicing strategic foresight in government: the cases of finland, Singapore and the European union. S. Rajaratnam School of International Studies. Nanyang Technological University
23.     Mohammadabadi, M.; Niazazari, K.; Jabbary, N. (2018). The Role of Intellectual Capital on promoting the Performance of Knoweledge-Based Companies with Futures studies approach: A Qualitative Study. Journal of Futures Studies Management. 29(114), 94-116. (in Persian)
24.     Ofori, G. (2000), Challenges of construction industries in developing countries: lessons from various countries, 2nd International Conference on Construction in Developing Countries: Challenges Facing the Construction Industry in Developing Countries Gaborone November, 15-17.
25.     Perron, G.M. (2005). Barriers to Environmental Performance Improvements in Canadian SMEs Dalhousie University, Canada.
26.     Rafi, U. & Masih, M. (2014). Are Islamic Banks Truly Shariah Compliant? An Application of Time Series Multivariate Forecasting Techniques to Islamic Bank Financing.
27.     Ratnaningsih, A. N., P. S. Anwar, and P. Artama Wiguna (2010). Analysis of internal and Sciences Research, 9(2).
28.     Revell, A. and Rutherfoord, R. (2003). UK environmental policy and the small firm: broadening the focus Business Strategy and the Environment, 12(1), 26-35.
29.     Ruiz, L.G.B. Rueda, R. M.P. Cuéllar, Pegalajar, M.C (2018), Energy consumption forecasting based on Elman neural networks with evolutive optimization, Expert Systems with Applications, 92, 380-389.
30.     Schwartz, P.(1996). The Art of the Long View: Planning for the Future in an Uncertain World.
31.     Shah, N. K., Li, Z., & Ierapetritou, M. G. (2010). Petroleum refining operations: key issues, advances, and opportunities. Industrial & Engineering Chemistry Research, 50(3), 1161-1170.
32.     Slaughter, R. A.(2014). Knowledge Base of Futures Studies, the Futures Study Centre, Australia.
33.     Soleymani Sarvestani, M.H., Jandaghi, G.R., Fathi, M.R., Maleki, M. (2019). uture Studies of Iran Handmade Carpet Industry Using Critical Uncertainty Approach, Journal of Iran Futures Studies, 4(1), 141-169. ( in Persian).
34.     Stone, D.L., Deadrick, D.L. (2015). Challenges and opportunities affecting the future of human resource management, Human Resource Management Review, 25(2), 139-145.
35.     Taleb, N. N. (2012). Antifragile: Things that gain from disorder (Vol. 3). Random House Incorporated.
36.     Trevithick, S., Flabouris, A., Tall, G.V. & Webber, C. (2003). International EMS systems. New south wales. Australia.
37.     Vachon, Stephan, and Robert D. Klassen. (2006).Extending green practices across the supply chain: the impact of upstream and downstream integration." International Journal of Operations & Production Management 26.7, 795-821.
38.     Yeh, W. C., & Chuang, M. C. (2011). Using multi objective genetic algorithm for partner selection in green supply chain problems. Expert Systems with Applications, 38, 4244–4253.
39.     Zhu, Q., Sarkis, J., Lai, K. (2007). Green supply chain management: pressures, practices and performance within the Chinese automobile industry. Journal of Cleaner Production, 15(11–12), 1041–