شناسایی اثرگذارترین و اثرپذیرترین عوامل زنجیره تأمین لارس با تکنیک دیمتل
الموضوعات :مجتبی خالصی اردکانی 1 , مژده ربانی 2 , حسن دهقان دهنوی 3 , ابوالفضل صادقیان 4 , محمدتقی هنری 5
1 - دانشجوی دکتری، گروه مدیریت صنعتی، واحد یزد، دانشگاه آزاد اسلامی، یزد، ایران.
2 - استادیار، گروه مدیریت صنعتی، واحد یزد، دانشگاه آزاد اسلامی، یزد، ایران.
3 - دانشیار، گروه مدیریت صنعتی، واحد یزد، دانشگاه آزاد اسلامی، یزد، ایران.
4 - استادیار ،گروه مدیریت صنعتی، واحد یزد، دانشگاه آزاد اسلامی، یزد، ایران
5 - استادیار، گروه مدیریت صنعتی، دانشگاه آزاد اسلامی واحد یزد، یزد، ایران.
الکلمات المفتاحية: زنجیره تأمین لارس, زنجیره تأمین پایدار, زنجیره تأمین تابآور, زنجیره تأمین چابک, زنجیره تأمین ناب, تکنیک دیمتل.,
ملخص المقالة :
هدف اصلی این پژوهش، شناسایی اثرگذارترین و اثرپذیرترین عوامل زنجیره تأمین لارس میباشد. این پژوهش از نظر هدف کاربردی - توسعهای است. عوامل با روش فراترکیب استخراج شدند. زنجیره تأمین لارس دارای عوامل زنجیره تأمین پایدار، زنجیره تأمین تابآور، زنجیره تأمین چابک، زنجیره تأمین ناب و 16 شاخص مختلف (مدیریت تأمینکنندگان، تأمینکنندگان پشتیبان، کانال توزیع چندگانه، حذف ضایعات، تولید به هنگام، مدیریت لجستیک، بهبود مستمر، انعطافپذیری، شایستگی، سرعت، ارتباط با مشتریان، پاسخگویی، چابکی، اقتصادی، زیستمحیطی و اجتماعی) میباشد. پرسشنامه دیمتل بر اساس عوامل طراحی و در اختیار 15 نفر از خبرگان صنایع کاشی و سرامیک یزد قرار داده شد. برای تعیین میزان تأثیرپذیری و تأثیرگذاری هریک از شاخصها، از روش دیمتل استفاده شد. به این منظور، پرسشنامه دیمتل توسط اساتید و خبرگان این حوزه تکمیل شد و در نهایت در دستگاه مختصات دکارتی روابط بین شاخصها مشخص گردید. نتایج نشان داد به ترتیب عوامل اقتصادی، چابکی، بهبود مستمر و انعطافپذیری، بیشترین تأثیرگذاری و از طرفی، مدیریت تأمینکنندگان بیشترین تأثیرپذیری را در بین شاخصهای زنجیره تأمین لارس دارند.
Agarwal, A., Shankar, R., & Tiwari, M. K. (2007). Modeling agility of supply chain. . Industrial Marketing Management, 36(4), 443-457.
Ahmed, W., & Huma, S. (2021). Impact of lean and agile strategies on supply chain risk management. Total Quality Management & Business Excellence, 32(1-2), 33-56.
Ahmed, W., & Huma, S. (2021). Impact of lean and agile strategies on supply chain risk management. Total Quality Management & Business Excellence, 32(1-2), 33-56.
Alirezaei, A., Rabbani, M., Babaei Meybodi, H., & Sadeghian, A. (2022). Provide a framework for Resilient-Sustainable Supplier Selection Model with an intuitive fuzzy approach. Journal of Environmental Science and Technology, 24(120), 91-109. [In Persian]
Ambe, I. M. (2009). Agile supply chain: strategy for competitive advantage In the proceedings of 5 th international strategic management Conference.
Asari, M. H., & Motamedi Fard, S. (2015). Comparison of Interpretive Structural Modeling and DeMetal Techniques National conference of quantitative models and techniques in management, Qazvin.
Azevedo, S. G., Carvalho, H., & Cruz-Machado, V. (2016). LARG index: A benchmarking tool for improving the leanness, agility, resilience and greenness of the automotive supply chain. Benchmarking: An International Journal, 23(6), 1472-1499.
Bidhandi, R. A., & Valmohammadi, C. (2017). Effects of supply chain agility on profitability. Business Process Management Journal, 1(1), 20–32.
Bidhandi, R. A., & Valmohammadi, C. (2017). Effects of supply chain agility on profitability. Business Process Management Journal.
Borgström, B., & Hertz, S. (2011). Supply chain strategies: changes in customer order‐based production. Journal of Business Logistics, 32(4), 361-373.
Carvalho, H., Duarte, S., & Cruz Machado, V. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma, 2(2), 151-179. https://doi.org/10.1108/20401461111135037
Carvalho, H., Duarte, S., & Machado, V. C. (2011). Lean, agile, resilient and green: divergencies and synergies. International Journal of Lean Six Sigma.
Chandra, V., & Fisher, D. L. (2009). Students' Perceptions of a Blended Web-Based Learning Environment. Learning Environments Research, 12(1), 31-44.
Chowdhary, C. L. (2022). Agile Supply Chain: Framework for Digitization. In Innovative Supply Chain Management via Digitalization and Artificial Intelligence. Springer.
Garcia-Buendia, N., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2022). A bibliometric study of lean supply chain management research: 1996–2020. Total Quality Management & Business Excellence, 33(15-16), 1872-1895.
Gazzola, P., Gonzalez, D. A., & Onyango, V. (2019). Going green is going smart for sustainable development: Quo Vadis? Journal of Cleaner Production, 214, 881-892.
Ghadimi, P., Wang, C., Lim, M. K., & Heavey, C. (2018). Intelligent sustainable supplier selection using multi-agent technology: theory and application for Industry 4. 0 supply chains. Computers & Industrial Engineering, 127, 588-600. https://doi.org/10.1016/j.cie.2018.10.050
Gunasekaran, A., Lai, K.-h., & Edwin Cheng, T. C. (2008). Responsive supply chain: A competitive strategy in a networked economy. Omega, 36(4), 549-564. https://doi.org/10.1016/j.omega.2006.12.002
Gurumurthy, A., & Kodali, R. (2009). Application of benchmarking for assessing the lean manufacturing implementation. Benchmarking: An International Journal, 16(2), 274-308. https://doi.org/10.1108/14635770910948268
Harris, J. M. (2000). Basic principles of sustainable development. Tufts university, USA. .
Izadyar, M., Toloie Eshlaghy, A., Agha Gholizadeh Sayar, A., & Mehri, Z. (2021). Developing a Model for Sustainability Assessment in LARG Supply Chains using System Dynamics. International Journal of Industrial Mathematics, 13(2), 181-198.
Izadyar, M., Toloie Eshlaghy, A., Agha Gholizadeh Sayar, A., & Mehri, Z. (2021). Developing a Model for Sustainability Assessment in LARG Supply Chains using System Dynamics. International Journal of Industrial Mathematics, 13(2), 181-198.
Jalali, G., Tavakkoli-Moghaddam, R., Ghomi-Avili, M., & Jabbarzadeh, A. (2017). A network design model for a resilient closed-loop supply chain with lateral transshipment. International Journal of Engineering, 30(3), 374-383.
Jasti, N. V. K., & Kodali, R. (2015). A critical review of lean supply chain management frameworks: proposed framework. Production Planning & Control, 26(13), 1051-1068.
Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International journal of production economics, 171, 116-133.
Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S. K., Kazancoglu, Y., & Jabeen, F. (2022). Role of flexibility, agility and responsiveness for sustainable supply chain resilience during COVID-19. Journal of Cleaner Production, 362.
Khan, M. A., Ahmad, S. F., & Irshad, M. (2022). Quantifying the Mediating Effect of Resilience in Supply Chain: Empirical Evidence from Oil and Lubricant Industry. Journal of Development and Social Sciences, 3(2), 213-224.
Kodrat, K. F., Sinulingga, S., Napitupulu, H., & Hadiguna, R. A. (2020). Evaluation the effect of supply chain management on firm performance in passion fruit syrup company In IOP Conference Series: Materials Science and Engineering.
Lin, C.-T., Chiu, H., & Chu, P.-Y. (2006). Agility index in the supply chain. International journal of production economics, 100(2), 285-299.
Lin, C.-T., Chiu, H., & Chu, P.-Y. (2006). gility index in the supply chain. International Journal of Production Economics, 100(2), 285-299.
Lu, H., Jiang, S., Song, W., & Ming, X. (2018). A rough multi-criteria decision-making approach for sustainable supplier selection under vague environment. Sustainability, 10(8), 2622.
Lu, H., Jiang, S., Song, W., & Ming, X. (2018). A rough multi-criteria decision-making approach for sustainable supplier selection under vague environment. Sustainability, 10(8).
Mahmudul Hasan, M., Jiang, D., Sharif Ullah, A. M. M., & Noor-E-Alam, M. d. (2020). Resilient supplier selection in logistics 4.0 with heterogeneous information. Expert Systems with Applications, 139.
Naylor, J. B., Naim, M. M., & Berry, D. (1999). Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62(1-2), 107-118.
Nguyen, H., Ha, H., & Doan, T. (2020). Retracted: The impact of supply chain quality management on firm performance: Empirical evidence from Vietnam. Uncertain Supply Chain Management, 8(2), 331-350.
Piya, S., Shamsuzzoha, A., & Khadem, M. (2022). Analysis of supply chain resilience drivers in oil and gas industries during the COVID-19 pandemic using an integrated approach. Appl Soft Compute. https://doi.org/10.1016/j.asoc.2022.108756
Qi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International journal of production economics, 185, 162-174.
Qi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics, 185, 162-174.
Raut, R. D., Mangla, S. K., Narwane, V. S., Dora, M., & Liu, M. (2021). Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review, 145.
Rossini, M., Powell, D. J., & Kundu, K. (2023). Lean supply chain management and Industry 4.0: A systematic literature review. International Journal of Lean Six Sigma, 14(2), 253-276.
Sahu, A. K., Datta, S., & Mahapatra, S. (2017). Evaluation of performance index in resilient supply chain: a fuzzy-based approach. Benchmarking: An International Journal.
Sahu, A. K., Datta, S., & Mahapatra, S. (2017). Evaluation of performance index in resilient supply chain: a fuzzy-based approach. Benchmarking, 24(1), 118-142. https://doi.org/10.1108/BIJ-07-2015-0068
Shams, S., & Salimi zavieh, S. G. (2021). Larg Supply Chain Management Overview (Analysis of Larg Supply Chain Management Models). IRANIAN RUBBER MAGAZINE, 26(103), 79-87.
Sooksiri, W., & Apichat, S. (2017). Trends and Future Directions in Sustainable Development. Sustainable Development, 26(1), 1-17.
Swenseth, S. R., & Olson, D. L. (2016). Trade-offs in lean vs. outsourced supply chains. International Journal of Production Research, 54(13), 4065-4080.
Torabi, S. A., Baghersad, M., & Mansouri, S. A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22–48. https://doi.org/10.1016/j.tre.2015.03.005
Yu, C., Zhao, W., & Li, M. (2019). An integrated sustainable supplier selection approach using compensatory and non-compensatory decision methods. Kybernetes.
Yu, C., Zhao, W., & Li, M. (2019). An integrated sustainable supplier selection approach using compensatory and non-compensatory decision methods. Kybernetes, 48(8), 1782–1805. https://doi.org/10.1108/K-02-2018-0063
Zhou, H., Yi, Y., Yao, C., & Joe, Z. (2017). Data Envelopment Analysis Application in Sustainability: The Origins, Development and Future Directions. European Journal of Operational Research, 264(1), 1-16.
Zimmer, K., Fröhling, M., & Schultmann, F. (2016). Sustainable supplier management–a review of models supporting sustainable supplier selection, monitoring and development. International Journal of Production Research, 54(5), 1412-1442.