شناسایی، اولویت بندی و تعیین روابط مؤلفه های چابکی زنجیرۀ تأمین با رویکرد دیمتل فازی در صنعت نفت و گاز استان خوزستان

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان

1 دانش آموخته دکتری، گروه مدیریت بازرگانی و کسب و کار، دانشکده مدیریت و حسابداری، دانشگاه تهران، دانشکدگان فارابی، قم، ایران

2 دانش آموخته دکتری، دانشگاه فنی و حرفه ای، بوشهر، ایران

10.48301/kssa.2022.316790.1868

چکیده

در بازارهای به شدت رقابتی امروزی، حذف یا نادیده گرفتن منابع ایجاد تلاطم و نوسان غیرممکن است. بنابراین، مدیران زنجیرۀ تأمین  باید عدم قطعیت راپذیرفته و به دنبال رویکردی، برای انطباق باچنین شرایطی باشند. براین اساس، هدف این تحقیق طراحی مدل چابکی زنجیرۀ تأمین  با رویکرد DEMATEL فازی در صنعت نفت و گاز استان خوزستان است. این تحقیق ازنوع کمی بارویکرد DEMATEL فازی است. جامعۀ آماری این تحقیق را خبرگان صنعت نفت و گاز استان خوزستان تشکیل داده است. براین اساس با 10 نفر از خبرگان صنعت نفت و گاز استان خوزستان مصاحبه شد. عوامل چابکی زنجیرۀ تأمین  درصنعت نفت و گاز شامل انعطاف­پذیری، قیمت رقابتی، قابلیت اطمینان، پاسخگویی، روابط با مشتری، کیفیت، سرعت، دردسترس بودن، نوآوری و بروز بودن و شایستگی درنظر گرفته شد. داده­های مورد نیاز با استفاده از ابزار پرسش‌نامه مقایسۀ زوجی گردآوری گردید. به منظور تجزیه وتحلیل داده­ها ازرویکرد DEMATEL فازی و تحلیل حساسیت با نرم­افزار اکسل استفاده شد. یافته­ها نشان داد عوامل انعطاف­پذیری، قیمت رقابتی، کیفیت، در دسترس بودن و نوآوری و بروز بودن در گروه متغیرهای علت و عوامل قابلیت اطمینان، پاسخگویی، روابط با مشتری، سرعت وشایستگی در گروه متغیرهای معلول قرار دارند. یافته­های تحلیل حساسیت نیزنشان داد با 10 درصد تغییر در متغیر مستقل انعطاف­پذیری، یا پاسخگویی، یا شایستگی 1/1درصد میزان چابکی زنجیرۀ تأمین  افزایش می­یابد. همچنین با 10درصد تغییر درمتغیر مستقل روابط با مشتری، یا سرعت، یا دردسترس بودن میزان چابکی زنجیرۀ تأمین  1 درصد افزایش می­یابد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Identifying, Prioritizing and Determining the Relationships of Supply Chain Agility Components with Fuzzy DEMATEL Approach in Oil and Gas Industry in Khuzestan Province

نویسندگان [English]

  • Sajjad Shamsi Gooshki 1
  • Arsalan Nami 2
1 PhD, Department of Business and Administrative Management, Faculty of Management and Accounting, University of Tehran, College of Farabi, Qom, Iran.
2 PhD, Technical and Vocational University (TVU), Bushehr, Iran.
چکیده [English]

In today's highly competitive markets, it is impossible to eliminate or ignore the resources of turbulence. Hence, supply chain managers must accept uncertainty and look for an approach to adapt to such conditions. Therefore, the purpose of this study was to design a supply chain agility model with fuzzy DEMATEL approach in the oil and gas industry in Khuzestan Province. This research was quantitative research with fuzzy DEMATEL approach. The statistical population of the present research consisted of experts in the oil and gas industries in Khuzestan Province. Based on this,10 experts were interviewed from the oil and gas industries in Khuzestan Province. Supply chain agility factors in the oil and gas industries included flexibility, competitive price, reliability, responsiveness, customer relations, quality, speed, availability, innovation, and up-to-date and competence. The required data was collected using a pairwise comparison questionnaire. In order to analyze the data, the fuzzy DEMATEL approach and sensitivity analysis with Excel software were used. Findings showed that the factors of flexibility, competitive price, quality, availability and innovation and up-to-date were in the group of causal variables and the factors of reliability, responsiveness, customer relations, speed and competence were in the group of effect variables. The findings of sensitivity analysis also revealed that for every 10% change in the independent variables of flexibility, or responsiveness, or competency, the supply chain agility increased by 1.1%. In addition, the findings demonstrated that for every 10% change in the independent variables of customer relationship, speed, or availability, the supply chain agility increased by 1%.

کلیدواژه‌ها [English]

  • Agility
  • Supply chain
  • Fuzzy DEMATEL
  • Oil and gas industry
  • Khuzestan
Ahmad, S., & Schroeder, R. G. (2002). Dimensions of competitive priorities: Are they clear, communicated, and consistent? Journal of Applied Business Research, 18(1), 77-86. https://doi.org/10.19030/jabr.v18i1.2102
Al-Zabidi, A., Rehman, A. U., & Alkahtani, M. (2021). An Approach to Assess Sustainable Supply Chain Agility for a Manufacturing Organization. Sustainability, 13(4), 1752. https://doi.org/10.3390/su13041752
Al Humdan, E., Shi, Y., Behnia, M., & Najmaei, A. (2020). Supply chain agility: a systematic review of definitions, enablers and performance implications. International Journal of Physical Distribution & Logistics Management, 50(2), 287-312. https://doi.org/1 0.1108/IJPDLM-06-2019-0192
Alavi, S. H., Mohmmadi, F., Darvishi, A., & Rahmani, N. (2020). The mediating role of innovation on the impact of market orientation on the performance of private clubs. Karafan Quarterly Scientific Journal, 17(3), 195-210. https://doi.org/10.48301/kssa.2020.124672
Aliakbari, S., Vafaie, F., Namayan, F., & Seidi, M. (2019). Investigating Factors Affecting Supply Chain Agility and Creating Competitive Advantage in Public Hospitals in Ilam Province. Journal of Ilam University of Medical Sciences, 27(3), 37-46. https://doi.org/10.292 52/sjimu.27.3.37
Ambe, I. M. (2009). Agile supply chain: strategy for competitive advantage. Journal of Global Strategic Managemen, 4(1), 5-17. https://doi.org/10.20460/JGSM.2010415835
Aprilia, A., Laili, F., Setyowati, P. B., & Waringga, K. F. (2020, August 25). The effect of supplier innovation on supply chain agility: Evidence from coffee shops in Malang area. Institute of Physics Conference Series: Earth and Environmental Science 733, Malang, Indonesia. https://dx.doi.org/10.1088/1755-1315/733/1/012059
Barve, A. (2010, December 28-30). Impact of supply chains agility on customer satisfaction 2010 international conference on e-business, management and economics, Hong Kong, China. http://www.ipedr.com/vol3/66-M10064.pdf
Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z. D. U., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Systems with Applications, 40(3), 899-907. https://doi.org/10.1016/j.eswa.2012.05.046
Boubaker, S., Jemai, Z., Sahin, E., & Dallery, Y. (2019, February 19-21). Supply Chain Agility: Review of Situations. Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, Prague, Czech Republic. https://doi.org/10.5220/ 0007351602700276
Chan, A. T. L., Ngai, E. W. T., & Moon, K. K. L. (2017). The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry. European Journal of Operational Research, 259(2), 486-499. https://doi.org/10.1016/j.ejor.20 16.11.006
Charles, A., Lauras, M., & Van Wassenhove, L. (2010). A model to define and assess the agility of supply chains: building on humanitarian experience. International Journal of Physical Distribution & Logistics Management, 40(8/9), 722-741. https://doi.org/10.1108/09 600031011079355
Chima, M., & Hills, D. (2011). Supply-Chain Management Issues In The Oil And Gas Industry. Journal of Business & Economics Research, 5(6), 27-36. https://doi.org/10.19030/jb er.v5i6.2552
Do, Q. N., Mishra, N., Wulandhari, N. B. I., Ramudhin, A., Sivarajah, U., & Milligan, G. (2021). Supply chain agility responding to unprecedented changes: empirical evidence from the UK food supply chain during COVID-19 crisis. Supply Chain Management: An International Journal, 26(6), 737-752. https://doi.org/10.1108/SCM-09-2020-0470
Dubey, R., Bryde, D. J., Foropon, C., Graham, G., Giannakis, M., & Mishra, D. B. (2022). Agility in humanitarian supply chain: an organizational information processing perspective and relational view. Annals of Operations Research, 319(1), 559-579. https://doi.or g/10.1007/s10479-020-03824-0
El-Tawy, N., & Gallear, D. (2012, June 7-8). Exploring the supply chain agility attributes in fast moving consumer goods industry: A case study in the Middle East. European, Mediterranean & Middle Eastern Conference on Information Systems 2012, Munich, Germany. https://bura.brunel.ac.uk/handle/2438/8448
Fayezi, S., Zutshi, A., & O'Loughlin, A. (2017). Understanding and Development of Supply Chain Agility and Flexibility: A Structured Literature Review. International Journal of Management Reviews, 19(4), 379-407. https://doi.org/10.1111/ijmr.12096
Gamboa Bernal, J. P., Orjuela Castro, J. A., & Moreno Mantilla, C. E. (2020). The sustainable supply chain: Concepts, optimization and simulation models, and trends. Ingeniería, 25(3), 355-377. https://doi.org/10.14483/23448393.16926
Gligor, D. M. (2013). The concept of supply chain agility: Conceptualization, antecedents, and the impact on firm performance [PhD, University of Tennessee]. Knoxville, Tennessee, United States. https://trace.tennessee.edu/utk_graddiss/1722/
Hosseinpour, M., Jamshidi, M. J., Mohamadifar, Y., & Behvar, S. (2021). Investigating the effect of strategic innovation on innovative performance with the role of the moderator of the business environment (Case study: small and medium companies in Kermanshah). Karafan Quarterly Scientific Journal, 17(5), 187-206. https://doi.org/10.48301/kssa .2021.128450
Jamshidiantehrani, M., Ahmadzadeh, A., Rahimisadr, M., & Abdolmohammadi, M. (2020). Identifying and Prioritizing the Factors Affecting the Agility of the Supply Chain of Pharmaceutical Company using Multi-Criteria Decision-Making Methods in COVID-19 Pandemic. Systematic Reviews in Pharmacy, 11(7), 371-381. https://doi.org/10.3 1838/srp.2020.7.56
Jindal, A., Sharma, S. K., Sangwan, K. S., & Gupta, G. (2021). Modelling Supply Chain Agility Antecedents Using Fuzzy DEMATEL. Procedia CIRP, 98(2), 436-441. https://doi.o rg/10.1016/j.procir.2021.01.130
Lin, C-J., & Wu, W-W. (2008). A causal analytical method for group decision-making under fuzzy environment. Expert Systems with Applications, 34(1), 205-213. https://doi.or g/10.1016/j.eswa.2006.08.012
Macclever, A., Annan, J., & Boahen, S. (2017). Supply chain flexibility, agility and firm performance. European Journal of Logistics, Purchasing and Supply Chain Management, 5(3), 13-40. https://eajournals.org/ejlpscm/vol-5-issue-3-july-2017/supply-chain-flexibility-agility-firm-performance/
Malina, S. (2019). Supply chain complexity: a case study in the drive and control industry [Doctoral, WHU-Otto Beisheim School of Management]. Vallendar, Germany. https://opus4.k obv.de/opus4-whu/frontdoor/index/index/docId/754
Moniruzzaman, M., Kurnia, S., Parkes, A., & Maynard, S. B. (2016, November 30-December 4). Business intelligence and supply chain agility Australasian Conference on Information Systems 2015 Proceedings, Adelaide, South Australia. https://doi.org/10.48550/arX iv.1606.03511
Rahimi, A., Raad, A., Alamtabriz, A., & Motameni, A. (2019). Providing a model for supply chain agility of ground-based military products and its impact on supply chain performance. International Journal of Industrial Engineering & Production Research, 30(3), 353-375. https://doi.org/10.22068/ijiepr.30.3.353
Rehman, A. U., Al-Zabidi, A., AlKahtani, M., Umer, U., & Usmani, Y. S. (2020). Assessment of Supply Chain Agility to Foster Sustainability: Fuzzy-DSS for a Saudi Manufacturing Organization. Processes, 8(5), 577. https://doi.org/10.3390/pr8050577
Seker, S., & Zavadskas, E. K. (2017). Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites. Sustainability, 9(11), 2083. https://doi.or g/10.3390/su9112083
Swafford, P. M., Ghosh, S., & Murthy, N. (2006). The antecedents of supply chain agility of a firm: Scale development and model testing. Journal of Operations Management, 24(2), 170-188. https://doi.org/10.1016/j.jom.2005.05.002
Wu, K-J., Tseng, M-L., Chiu, A. S. F., & Lim, M. K. (2017). Achieving competitive advantage through supply chain agility under uncertainty: A novel multi-criteria decision-making structure. International Journal of Production Economics, 190, 96-107. https://doi.o rg/10.1016/j.ijpe.2016.08.027
Yusra, A., & Abdulaziz, A. (2021). The relationship between supply chain agility and organizational performance in ksa. PalArch's Journal of Archaeology of Egypt / Egyptology, 18(15), 266-271. https://archives.palarch.nl/index.php/jae/article/view/8333
Yusuf, Y. Y., Gunasekaran, A., Musa, A., Dauda, M., El-Berishy, N. M., & Cang, S. (2014). A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry. International Journal of Production Economics, 147(1), 531-543. https://doi.org/10.1016/j.ijpe.2012.10.009