Designing an integrated supply chain model based on the Large Hybrid Paradigm in the oil industry (Case study: Abadan Oil Refining Company)
Keywords:
Strategy, Oil Industry, Management, Supply Chain, EconomyAbstract
Several methods have been introduced for supply chain management, the most prominent of which is large-scale supply chain management. Given the importance of the subject, this study attempts to evaluate and analyze in a single set, by carefully examining the literature presented, the most important requirements of the large-scale supply chain management strategy in the oil industry, which is one of the industries that affects the economy. These issues in the supply chain, which can reduce the productivity and competitiveness of the company in the oil industry, are factors that prompted the researcher to study the pathology of the supply chain in the oil industry and the Abadan Oil Refinery. In this regard, multi-criteria decision-making techniques will be used to diagnose and rank important indicators of the supply chain, including the supply of raw materials, systems, and human resources, so that if the rank of each damage in the supply chain is determined, appropriate suggestions and solutions will be provided for it, and those that are more damaged will be taken into account in a broader perspective. New strategies will also be used in this study. Lean, agile, resilient, and green are paradigms that have been proposed so far with the aim of examining and improving supply chain performance. Each of these four paradigms has different goals and is essential for creating an efficient and effective supply chain in responding to different customer needs. In the research conducted, one or a combination of several paradigms has been used, and in the present study, due to its importance, comprehensiveness, and the possibility of comprehensive and maximum examination of the oil industry supply chain, all four paradigms have been used in order to understand the interaction between these paradigms in this chain, and to present a suitable model for diagnosing and improving the oil industry supply chain using the results of the studies conducted at the Abadan Oil Refinery as the study unit.
Downloads
References
Bai, H., Huang, L., & Wang, Z. (2024). Supply chain financing, digital financial inclusion and enterprise innovation:
Evidence from China. International Review of Financial Analysis, 91, 103044.
https://doi.org/10.1016/j.irfa.2023.103044
Bigdeli, M., & et al. (2024). A performance management model in the service supply chain of private banks in the country
with a system dynamics approach. Supply chain management, 26(83), 1-15.
Cabral, I., Grilo, A., & Cruz-Machado, V. (2012). A Decision-Making Model for Lean, Agile, Resilient and Green Supply
Chain Management. International Journal of Production Research, 50(17), 4830-4845.
https://doi.org/10.1080/00207543.2012.657970
Cao, Z., Chen, S. X., Dong, T., & Lee, E. (2024). Climate Change Uncertainty and Supply Chain Financing. The British
Accounting Review, 101423. https://doi.org/10.1016/j.bar.2024.101423
Carvalho, H., Azevedo, S. G., & Cruz-Machado, V. (2012). Agile and Resilient Approaches to Supply Chain
Management: Influence on Performance and Competitiveness. Logistics Research, 4(1-2), 49-62.
https://doi.org/10.1007/s12159-012-0064-2
Carvalho, H., & Cruz-Machado, V. (2022). Integrating Lean, Agile, Resilience and Green Paradigms in Supply Chain
Management (LARG_SCM). Supply chain management, 27-48. https://www.intechopen.com/chapters/15530
Christopher, M. (2000). The Agile Supply Chain: Competing in Volatile Markets. Industrial Marketing Management,
(1), 37-44. https://doi.org/10.1016/S0019-8501(99)00110-8
Duarte, S., & Machado, V. C. (2022). Manufacturing Paradigms in Supply Chain Management. International Journal of
Management Science and Engineering Management, 6(5), 328-342.
https://doi.org/10.1080/17509653.2011.10671181
Dubey, R., Gunasekaran, A., & Papadopoulos, T. (2024). Benchmarking operations and supply chain management
practices using Ge nerative AI: Towards a theoretical framework. Transportation Research Part E: Logistics and
Transportation Review, 189, 103689. https://doi.org/10.1016/J.TRE.2024.103689
Ghazi Zadeh, M., Safari, S., Norooz Zadeh, F., & Heydari, Q. (2015). Integrating Supply Chain Management Approaches
into Large Supply Chains Using Multi-Criteria Decision-Making Techniques in SAIPA Company. Executive
Management Research Journal, 7(14), 114-134. https://jem.journals.umz.ac.ir/article_1174.html
Huang, J., Huang, H., Si, Y., Xu, Y., Liu, S., & Yang, X. (2024). Green supply chain finance strategies with market
competition and financial constraints. Heliyon, 10(8). https://doi.org/10.1016/j.heliyon.2024.e29511
Izadiyar, M., Toloui Eshlaghi, A., & Seyed Hosseini, S. M. (2020). A Sustainability Performance Evaluation Model for
Large Supply Chain Management Practices in the Automotive Supply Chain Using System Dynamics. Industrial
Management, 12(1), 111-142. https://imj.ut.ac.ir/article_78099.html?lang=en
Jamali, G., & Karimi Asl, E. (2018). Evaluation of LARG Supply Chain Competitive Strategies based on Gap Analysis
in Cement Industries. Research in Production and Operations Management, 9(1), 29-54.
http://jpom.ui.ac.ir/article_22948_en.html
Jamali, G., Karimi Asl, E., Zolfani, S. H., & Šaparauskas, J. (2024). Analysing LARG Supply Chain Management
Competitive Strategies in Iranian Cement Industries. Ekonomika a Management, XX(3), 70-83.
https://doi.org/10.15240/tul/001/2017-3-005
Kippenberger, J. K. (2024). Ensuring Supply for Emergency Services – Modeling Supply Chains With Incomplete Sets
of Data. Sne Simulation Notes Europe, 34(2), 71-79. https://doi.org/10.11128/sne.34.tn.10683
Lou, Z., Xie, Q., Shen, J. H., & Lee, C. C. (2024). Does supply chain finance (SCF) alleviate funding constraints of
SMEs? Evidence from China. Research in International Business and Finance, 67, 102157.
https://doi.org/10.1016/j.ribaf.2023.102157
Maloni, M., Franza, R., Lowman, G., Naphsin, S., & Golara, S. (2024). Supply chain management research productivity
and topics: 2020–2022. Transportation Journal, 63. https://doi.org/10.1002/tjo3.12010
Manuj, I., Herburger, M., & Adana, S. (2024). Supply chain resilience capabilities in automotive and other industries: A
mixed method approach. Journal of Business & Industrial Marketing, 39(6), 1311-1336.
https://doi.org/10.1108/JBIM-07-2022-0355
Mohammed, A., Zubairu, N., Yazdani, M., Diabat, A., & Li, X. (2023). Resilient supply chain network design without
lagging sustainability responsibilities. Applied Soft Computing, 140, 110225.
https://doi.org/10.1016/j.asoc.2023.110225
Mohsin, A., Awain, S., Al-Ansi, A., & Jaboob, M. (2023). Green Supply Chain Management: A Comprehensive Review
of Research, Applications and Future Directions. Management and Production Engineering Review, 14, 118-133.
https://doi.org/10.24425/mper.2023.147194
Olawale, O., Ajayi, F. A., Udeh, C. A., & Odejide, O. A. (2024). Risk management and HR practices in supply chains:
Preparing for the Future. Magna Scientia Advanced Research and Reviews, 10(2), 238-255.
https://doi.org/10.30574/msarr.2024.10.2.0065
Rachid, B., Roland, D., Sebastien, D., & Ivana, R. (2024). Risk Management Approach for Lean, Agile, Resilient and
Green Supply Chain. World Academy of Science, Engineering and Technology, International Journal of Social,
Behavioral, Educational, Economic, Business and Industrial Engineering, 11(4), 742-750.
Sousa, J. C. D., Alves, M. B., Leocádio, L., & Rossato, J. (2020). Environmental Management of Larg Supply Chain: A
Diagnostic Instrument Proposed for Assessing Suppliers. BBR. Brazilian Business Review, 16, 537-554.
https://doi.org/10.15728/bbr.2019.16.6.1
Stanujkic, D., Karabasevic, D., & Zavadskas, E. K. (2023). Framework for the Selection of a Packaging Design Based
on the SWARA Method. Inzinerine Ekonomika-Engineering Economics, 26(2), 181-187.
https://doi.org/10.5755/j01.ee.26.2.8820
Wang, J. (2023). Influencing Factors on Green Supply Chain Resilience of Agricultural Products: An Improved GrayDematel-Ism Approach. Frontiers in Sustainable Food Systems, 7. https://doi.org/10.3389/fsufs.2023.1166395
Wang, Q., Yuan, S., Ostic, D., & Pan, L. (2023). Supply chain finance and innovation efficiency: An empirical analysis
based on manufacturing SMEs. PLoS One, 18(7), e0286068. https://doi.org/10.1371/journal.pone.0286068
Wang, W., Chen, Y., Wang, Y., Deveci, M., Cheng, S., & Brito-Parada, P. R. (2024). A decision support framework for
humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fu zzy
DEMATEL-MARCOS method. Technological Forecasting and Social Change, 206, 123556.
https://doi.org/10.1016/J.TECHFORE.2024.123556
Zhang, M., Ying, S., & Xu, X. (2023). Dual-Channel Supply Chain Coordination With Loss-Averse Consumers. Discrete
Dynamics in Nature and Society, 2023, 1-14. https://doi.org/10.1155/2023/3172590
Downloads
Published
Submitted
Revised
Accepted
Issue
Section
License
Copyright (c) 2025 Journal of Technology in Entrepreneurship and Strategic Management (JTESM)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
