تبیین روابط علی عوامل مؤثر در انتخاب تأمین کننده تاب آور

نوع مقاله: مدیریت تولید و عملیات(نوآوری -تحقیق و توسعه -زنجیره تامین -زنجیره اززش -بهره وری)

نویسندگان

1 کارشناسی ارشد مدیریت صنعتی، دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

2 دانشیار گروه مدیریت صنعتی دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

3 استاد گروه مدیریت صنعتی دانشکده علوم اقتصادی و اداری، دانشگاه مازندران، بابلسر، ایران

چکیده

هدف: با جهانی شدن و گسترش فعالیت شرکت‌ها، آسیب‌پذیری زنجیره تأمین افزایش یافت. انتخاب تأمین‌کننده به عنوان یکی از اقدامات پیچیده و چندوجهی در زنجیره تأمین تحت تأثیر این آسیب‌پذیری قرارگرفت. به جهت اهمیت تاب آوری در کاهش آسیب‌پذیری، هدف از این مقاله تعیین عوامل مؤثر و تبیین روابط ساختاری این عوامل برای انتخاب تأمین‌کننده تاب‌آور است.
روش‌شناسی: مراجعه به خبرگان صنعت، مصاحبه و ارائه پرسش‌نامه برای پالایش معیارهای فهرست شده از ادبیات پژوهش گسترده این حوزه در جهان و استفاده از روش های تبیین‌کننده روابط ساختاری معیارهای مؤثر با توجه به عدم اطمینان ذاتی و عدم قطعیت داده‌ها در محیط این صنعت از ملاحظات روش انتخاب‌شده در این پژوهش است. در پژوهش حاضر از تکنیک دیمتل خاکستری برای تعیین روابط علی بین عوامل مؤثر در انتخاب تأمین‌کننده تاب‌آور استفاده شده است.
یافته‌ها: تدوین یک مدل ساختاری و معرفی ابزارهایی چون دیمتل خاکستری برای تحلیل و انتخاب تأمین‌کننده تاب‌آوری، یافته پژوهش حاضر می‌باشد.
نوآوری: در فرآیندهای تصمیم‌گیری، سطوح مختلفی از عدم قطعیت وجود دارد که در برخی از سطوح به دلیل بالا بودن عدم اطمینان، رویکرد فازی پاسخ‌گو نخواهد بود. بنابراین در پژوهش حاضر با توجه به سطح بالای عدم اطمینان، از تکنیک دیمتل با رویکرد خاکستری استفاده شد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Determination of causal relationships of influential factors in resilient supplier selection

نویسندگان [English]

  • Sahar Valipour Parkouhi 1
  • abdolhamid safaei ghadikolaei 2
  • mehrdad madhoushi 3
1 MSc of Industrial Management, Faculty of Economics and Administrative Sciences, University of Mazandaran, Babolsar, Iran.
3 industrial management department/university of mazandaran
چکیده [English]

Objective: With globalization and expansion of companies’ activities, supply chain has turned into a series of complex processes that will lead to more vulnerability. Supplier selection is one of the complex and multifaceted actions in supply chain that has the greatest impact on successful performance of a supply chain. The aim of this paper is to specify the effective criteria and also to determine the structural relationships of these criteria in resilient supplier selection.
Methodology: Referring to industry experts, interviewing and providing questionnaires to refine the criteria listed from the extensive literature of this field in the world and using methods determining structural relationships of effective criteria due to the inherent uncertainty and data uncertainty in the environment of this industry are the considerations of the selected method of the study. In the present study Grey DEMATEL technique is employed to determine the causal relationship of influential factors in resilient supplier selection.
Findings: Formulation of a structural model and introduction of instruments such as Grey DEMATEL for analysis and selection of suppliers with respect to resilience paradigm are the findings of this study.
Innovation: In decision-making processes, there are different levels of uncertainty that in some levels, due to their high uncertainty, a phased approach will not work. Therefore, in the current study due to the high level of uncertainty, DEMATEL technique with grey approach was employed.

کلیدواژه‌ها [English]

  • Resilience
  • Resilient Supply Chain
  • Factors in Resilient Supplier Selection
  • Uncertainty
  • Grey DEMATEL

Azadeh, A., Abdollahi, M., Hosseinabadi Farahani, M., & Rezaei Soufi, H. (2013). Green-Resilient Supplier Selection: An Integrated Approach. Institute of Industrial Engineering (IIE) Conference, Istanbul, Turkey, Jun 26-28.

Azevedo, S. A., Machado, V. H., Barroso, A. P., & Cruz-Machado, V. (2008). Supply Chain Vulnerability: Environment Changes and Dependencies. International Journal of Logistics and Transport, 2 (1), 41–55.

Bai, C., & Sarkis, J. (2013). A grey-based DEMATEL model for evaluating business process management critical success factors. International Journal of Production Economics, 146 (1), 281–292.

Berle, Ø., Rice Jr., J. B., & Asbjørnslett, B. E. (2011). Failure modes in the maritime transportation system: a functional approach to throughput vulnerability. Maritime Policy & Management, 38 (6), 605–632.

Blackhurst, J., Dunn, K. S., & Craighead, C. W. (2011). An Empirically Derived Framework of Global Supply Resiliency. Journal of Business Logistics, 32 (4), 374–391.

Carvalho, H. (2012). Modelling resilience in supply chain. Faculty of Science and Technology, New University of Lisbon, Portugal.

Chen, A., Chih-Ying, H., & Wee, H. M. (2014). A resilient global supplier selection strategy—a case study of an automotive company. The International Journal of Advanced Manufacturing Technology, 76 (8). 1252-1268.

Christopher, M. (2010). Logistics and supply chain management. Financial Times/Prentice Hall.

Christopher, M., & Peck, H. (2004). Building the Resilient Supply Chain. The International Journal of Logistics Management, 15 (2), 1 – 14.

De Boer, L., Labro, E., & Morlacchi, P. (2001). A review of methods supporting supplier selection. European Journal of Purchasing & Supply Management, 7 (2), 75-89.

Glickman, T., & White, S. (2006). Security, visibility and resilience: the keys to mitigating supply chain vulnerabilities. International Journal of Logistics Systems and Management, 2 (2). 107-119.

Hanna, J. B., Skipper, J. B., & Hall, D. (2010). Mitigating supply chain disruption: the importance of top management support to collaboration and flexibility. International Journal of Logistics Systems and Management, 6 (4), 397-414.

Jiang, C., & Tian, Y. (2009). Problems and challenges of global sourcing. Jönköping International Business School, Master Thesis within Business Administration.

Kuo, R. J., Wang, Y. C., & Tien, F. C. (2010). Integration of artificial neural network and MADA methods for green supplier selection. Journal of Cleaner Production, 18 (12), 1161–1170.

Lee, A. H. (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications, 36 (2/2), 2879–2893.

Liu, S., & Lin, Y. (2011). Grey Systems: Theory and Applications. London: Springer-Verlag Berlin Heidelberg.

Mukherjee, S., Ghosh, B. 2015. Application of Grey Possibility Degree in comparing poverty. International Journal of Innovative Research in Science, Engineering and Technology, 4 (6), 4698-4703.

Pettit, T. (2008). Supply chain resilience: development of a conceptual framework, an assessment tool and an implementation process. (Ph.D), DTIC Document.

Rajesh, R., & Ravi, V. (2015a). Supplier Selection In Resilient Supply Chains: A Grey Relational Analysis Approach, Journal of Cleaner Production, 86, 343-359.

Rajesh, R., & Ravi, V. (2015b). Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey–DEMATEL approach. Computers & Industrial Engineering, 87, 126–139.

Sahu, A. K., Datta, S., Mahapatra, S. S. 2016. Evaluation and selection of resilient suppliers in fuzzy environment: Exploration of fuzzy-VIKOR. Benchmarking: An International Journal, 23 (3), 651 – 673

Sawik, T. (2013). Selection of resilient supply portfolio under disruption risks. Omega, 41, 259–269.

Sen, D. K., Datta, S., & Mahapatra, S. S. (2017). Dominance based fuzzy decision support framework for g-resilient (ecosilient) supplier selection: an empirical modelling. International Journal of Sustainable Engineering, 1-20.

Seuring, S. (2010). Sustainability management beyond corporate boundaries. Journal of Cleaner Production, 18 (10–11), 1118-1119.

Sheffi,Yossi. (2005). The resilient enterprise: Overcoming vulnerability for competitive advantage". Cambridge, MA: MIT Press.42-65.

Wang, T. K., Zhang, Q., Chong, H. Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289.

Wu, D. D., Zhang, Y., Wu, D., & Olson, D. L. (2010). Fuzzy Multi objective Programming for Supplier Selection and Risk Modeling: A Possibility Approach. European Journal of Operational Research, 200 (3), 774-787.

Zsidisin, G. A., & Wagner, S. M. (2010). Do Perceptions Become Reality? The Moderating Role of Supply Chain Resiliency on Disruption Occurrence. Journal of Business Logstics, 31 (2), 1-20