اولویت‌بندی راهبردها مبتنی بر شناسایی و رتبه‌بندی ریسک‌های زنجیره تأمین لارج(مورد مطالعه: شرکت عملیاتی نفت و گاز)

حسین زاده, احمدرضا; محمدپورزرندی, محمدابراهیم; افشارکاظمی, محمدعلی

اولویت‌بندی راهبردها مبتنی بر شناسایی و رتبه‌بندی ریسک‌های زنجیره تأمین لارج(مورد مطالعه: شرکت عملیاتی نفت و گاز)

نوع مقاله : پژوهشی

نویسندگان

¹ دانشجوی دکتری مدیریت صنعتی، گروه مدیریت صنعتی، دانشکده مدیریت و اقتصاد، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران

² استاد گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه آزاد اسلامی، واحد تهران مرکز، تهران، ایران

³ دانشیار گروه مدیریت صنعتی، دانشکده مدیریت، دانشگاه آزاد اسلامی، واحد تهران مرکز، تهران، ایران

چکیده

تبیین راهبردهای رقابتی مدیریت زنجیره تأمین امری حیاتی است. لذا بررسی ریسک‌های زنجیره تأمین برای انتخاب بهترین معیار، استراتژی جدیدی در جهت مدیریت و کنترل ریسک‌ها و کاهش آسیب‌پذیری فرآیند زنجیره تأمین در راستای بهبود فرآیند و بهره‌وری است. هدف از پژوهش حاضر، شناسایی و رتبه‌بندی ریسک‌های زنجیره تأمین سه سطحی (تأمین‌کننده، تولیدکننده و توزیع‌کننده) با تمرکز بر سطح (2) تولید و عملیات به‌منظور تبیین راهبردی نوین در شرکت عملیاتی تولید نفت و گاز است. مقاله حاضر با بررسی مطالعات انجام‌شده در زمینه شناسایی و رتبه‌بندی ریسک‌های مدیریت زنجیره تأمین ناب، چابک، تاب آور و سبز، با ارائه مدلی تحلیلی ترکیبی مبتنی بر دلفی فازی و فرآیند تحلیل شبکه‌ای در محیط نرم‌افزار سوپردیسیژن انجام‌شده است. ریسک‌های شناسایی‌شده با استفاده از مرور ادبیات، 32 مؤلفه مؤثر با زمینه‌ها و فضای واقعی زنجیره تأمین و با نظرسنجی از تیم خبره 17 نفره، طی سه مرحله طبق روش دلفی فازی، صورت پذیرفته است. درنهایت پس از پالایش و ارزیابی عوامل مستخرج، منجر به شناسایی 6 معیار (محیطی، تأمین، سیستم اطلاعاتی، فرآیند، کنترل و تقاضا) متشکل از 26 ریسک، دسته‌بندی و رتبه‌بندی گردید. مطابق با یافته‌های تحقیق، ریسک‌های معیار فرآیند دارای بیشترین وزن، به‌عنوان معیار برتر انتخاب گردید و بهترتیب معیارهای تأمین، کنترل، محیطی، تقاضا و سیستم اطلاعاتی در اولویت‌های بعدی قرار گرفتند. تبیین راهبرد نوین، راهبردهای رقابتی چابک، ناب، تاب آور و سبز بهترتیب اولویت‌بندی گردیدند.

کلیدواژه‌ها

20.1001.1.20089198.1402.25.79.1.5

موضوعات

صنعت نفت، گاز و پتروشیمی

عنوان مقاله [English]

Prioritizing Strategies Based on the Identification and Ranking of Supply Chain Risks (Case Study: Oil and Gas Operating Company)

نویسندگان [English]

Ahmad Reza Hosseinzadeh ¹
Mohammad Ebrahim Mohammad Pourzarandi ²
Mohammad Ali Afsharkazemi ³

¹ National Company for Southern Oilfields Structural and Productivity Engineering Expert

² Department of Industrial Management, Faculty of Management, Islamic Azad University, Central Tehran Branch.

³ Department of Industrial Management, Faculty of Management, Islamic Azad University, Central Tehran Branch.

چکیده [English]

Explaining the competitive strategies of supply chain management is vital. Therefore, examining supply chain risks to choose the best criteria is a new strategy to manage and control risks and reduce the vulnerability of the supply chain process in order to improve the process and productivity. The purpose of the current research is to identify and rank the risks of the three-level supply chain (supplier, producer and distributor) with a focus on level (2) of production and operations in order to explain the new strategy in the operating company of oil and gas production. This article has been done by reviewing the studies conducted in the field of identifying and ranking the risks of lean, agile, resilient and green supply chain management, by presenting a hybrid analytical model based on fuzzy Delphi and the network analysis process in the Super-Decision software environment. The risks identified using the literature review, 32 effective components with the contexts and the real space of the supply chain and with a survey of the expert team of 17 people, have been carried out in three stages according to the fuzzy Delphi method. Finally, after refining and evaluating the extracted factors, it led to the identification of 6 criteria (environment, supply, information system, process, control and demand) consisting of 26 risks, categories and ratings. According to the findings of the research, the risks of the process criterion with the highest weight were chosen as the superior criteria and the criteria of supply, control, environment, demand and information system were placed in the next priorities. Explaining the new strategy, agile, lean, resilient and green competitive strategies were prioritized in order.

کلیدواژه‌ها [English]

Classification of Supply Chain Risks
Fuzzy Delphi
Competitive Strategies
Large Supply Chain
Network Analysis Process

مراجع

[1] M. N. Faisal, D. K. Banwet, and R. Shankar, "Supply Chain Risk Mitigation: Modeling the Enablers", Business Process Management Journal, vol. 12, no. 4, pp. 535-552, 2006.

[2] S. G. Azevedo & H. Carvalho, "The influence of agile and resilient practices on supply chain performance: an innovative conceptual model proposal," Hamburg International Conference of Logistics, Hamburg, Germany, pp. 273-281, 2010.

[3] H. Carvalho and V. Cruz-Machado, "Integrating lean, agile, resilience and green paradigms in supply chain management (LARG_SCM)", Supply Chain Management, pp. 27-48, 2011.

[4] S. Rao and T. J. Goldsby, “Supply chain risks: a review and typology,” The International Journal of Logistics Management, vol. 20, no. 1, pp. 97 – 123, 2009.

[5] M. Hayati and M. Ataei, “Assessment and ranking of risk in the supply chain using the taxonomic analysis method (case study: Isfahan Iron Smelting Complex),” Journal of Operations Research in its Applications (Applied Mathematics), vol. 11, p. 13, 2014. (In Persion).

[6] U. Juttner, “Supply chain risk management: Understanding the business requirements from a practitioner perspective,” International Journal of Logistics Management, 16(1), 2005.

[7] M. Christopher, “Creating resilient supply chains,” Logistics Europe, pp. 14–21, 2004.

[8] M. Farrokh, M. Sholah, and M. Zabihi, "Assessing the risks of sustainable supply chain with the method of analysis of states and causes of failure in a fuzzy environment (case study: Saba Batari)", Industrial Management Quarterly of Faculty of Human Sciences, vol.14(48), pp. 112-97, 2018. (In Persion)

[9] G. J. L. Micheli, E. Cagno, and M. Zorzini, “Supply risk management vs supplier selection to manage the supply risk in the EPC supply chain”, Management Research News., vol. 31, no. 11, pp. 846 – 866, 2008.

[10] A.Wieland & C. Marcus Wallenburg, "Dealing with supply chain risks: Linking risk management practices and strategies to performance. International", Journal of Physical Distribution & Logistics Management, vol. 12(11), pp. 887-911, 2012.

[11] G. A. Zsidisin & B. Ritchie, “Supply chain risk,” a handbook of assessment, management and performance, Springer Science, USA, 2009.

[12] S. Chopra and S. M. Sodhi, “Managing risk to avoid supply chain Breakdown”, MIT Solan management review. vol. 46, no. 1, pp. 53-61, 2004.

[13] B. Ritchie and C. And Brindley, "Supply chain risk management and performance: A guiding framework for future development", International Journal of Operations & Production Management, vol. 27, no. 3, pp. 303 – 322, 2007.

[14] F. Wiengarten, P. Humphreys, and C. Gimenez, "Risk, risk management practices, and the success of supply chain integration", International Journal of Production Economics (171), (3), pp. 361-370, 2016.

[15] M. Munir, M. S. Jajja, K. A. Chatha, S. Farooq, "Supply chain risk management and operationalperformance: The enabling role of supply chain integration", International Journal of Production Economics, 2020 Sep 1; 227:107667, 2020.

[16] S. Boyson, “Cyber Supply Chain Risk Management: Revolutionizing the Strategic Control of Critical IT Systems”, Technovation, vol.34, no.7, pp. 342-353, 2014.

[17] H. Zand Hasami and A. Savji, "Risk Management in Supply Chain Management", Development and Transformation Management Quarterly, vol. 4, vol. 9, p. 44, 2013. (In Persion).

[18] A. Mazaheri, M. Karbasian, and H. Shiroviyezad, "Identification and prioritization of supply chain risks in manufacturing organizations using the hierarchical analysis process", Supply Chain Management Quarterly. Vol. 13, (34), pp. 37-28, 2012. (In Persion).

[19] G. Jamali and A. Karimi Asl, "Evaluation of competitive strategies of large-scale supply chain management based on gap analysis in the cement industry", Production and Operations Management Quarterly, 3(34), vol. 9, Series 16, no. 1, pp. 29-54, 2017. (In Persion).

[20] N. Safai and A. Ameri Nasab, "Identification and ranking of supply chain management network damage with the approach of network process analysis in one of the manufacturing companies", Supply Chain Management Quarterly, 21st year, number 62, pp. 15-16, 2018. (In Persion)

[21] A. Taheri, A. legend Molhasini, M. A. Furqani, "Investigating the effect of supply chain strategies on supply chain integrity and competitive performance (case study: Kerman's Barez Rubber Industry)", Supply Chain Management Quarterly, Year 20, Number 61, p. 15, 2018. (In Persion)

[22] M. Hosseinzadeh, M. Mehrgan, and M. Qomi, "Identification and analysis of supply chain risks of Saipa Automotive Company using the Kosovo model of social network analysis (SNA) approach", Production and Operations Management Quarterly. vol.10(1), pp. 111-132, 2018. (In Persion)

[23] M. Parsai, M. M. Mehtadi, S. Khalili, "Presentation of supply chain resilience assessment model with a combined approach of Dimetal, ANP and Aras Khakstri (case study: Isfahan Mubarakeh Steel Company)", Supply Chain Management Quarterly, 21st year, number 65, p. 70, 2019. (In Persion)

[24] M. Sincerely, S. M. Taheri, and S. Farzadi, “Identification and ranking of supply chain risks in digital libraries of public universities in Tehran based on ISO 31000 standard,” Information Science and Technology Research Institute, pp. 33-1, 2021. (In Persion)

[25] D. K. Kardaras, B. Karakostas, & X. J. Mamakou, “Content presentation personalisation and media adaptation in tourism web sites using Fuzzy Delphi Method and Fuzzy Cognitive Maps”. Expert Systems with Applications, vol. 40, pp. 2331-2342, 2013.

[26] M. Momeni, S. Sharifi, “Multi-indicator decision-making models and software,” Tehran: Ganj Shaygan, 2011. (In Persion)

[27] T. L. Saaty, “Fundamentals of the analytic network process,” proceedings of I S A H P1999, kobe, japan, 1999.

[28] T. L. Saaty, L. G. Vargas, “Models, methods, concepts and applications of the analytic hierarchy process,” MA, Kluwer Academic Publishers, Boston, 2001.

[29] M. Bouzon, K. Govindan, C. M. T. Rodriguez, & L. M. S. Campos, “Identification and Analysis of Reverse Logistics Barriers Using Fuzzy Delphi Method and AHP”, Resources, Conservation and Recycling, 108, 182-197, 2016.

[30] C. H. Cheng & Y. Lin, "Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation", European Journal of Operational Research, vol. 142, pp. 174-186, 2002.

[31] E. Zebardast, "Application of ANP network analysis process in urban and regional planning", Journal of Fine Arts- Architecture and Urbanism, second volume, number 41, 2011. (In Persion)

[32] H. Carvalho & V. Cruz-Machado, "Integrating Lean, Agile, Resilience and Green Paradigms in Supply Chain Management (LARG_SCM)", In Supply Chain Management (vol. 2, pp. 151–179), 2012.

[33] G. Mihalis and L. Michalis, "A multi-agent based framework for supply chain risk management", Journal of Purchasing & Supply Management, 17(1), pp. 23-31, 2011.

[34] H. Carvalho & V. Cruz-Machado, "Integrating lean, agile, resilience and green paradigms in supply chain management (LARG_SCM)", Supply Chain Management, pp. 27-48, 2011.

[35] Ch. Aurelie, L. Matthieu, and L. Van Wassenhove, "A model to define and assess the agility of supply chains: building on humanitarian experience", International Journal of Physical Distribution & Logistics Management, vol. 40 (8/9), pp. 722-741, 2010.