شناسایی اثرگذارترین و اثرپذیرترین عوامل زنجیره تأمین لارس با تکنیک دیمتل
محورهای موضوعی : اقتصاد و توسعه پایدار
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.
کلید واژه: زنجیره تأمین لارس, زنجیره تأمین پایدار, زنجیره تأمین تاب‌آور, زنجیره تأمین چابک, زنجیره تأمین ناب, تکنیک دیمتل.,
چکیده مقاله :
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.
The main goal of this research is to identify the most effective and efficient factors of Lars supply chain. This research is applied-developmental in terms of purpose. Factors were extracted by super combination method. Lars supply chain has factors of sustainable supply chain, resilient supply chain, agile supply chain, lean supply chain and 16 different indicators (supplier management, supporting suppliers, multiple distribution channel, waste elimination, just-in-time production, logistics management, continuous improvement, flexibility, competence, speed, communication with customers, responsiveness, agility, economic, environmental and social). Dimtel's questionnaire was designed based on the factors and provided to 15 experts of Yazd tile and ceramic industries. Dimtel method was used to determine the influence of each index. For this purpose, the Dematel questionnaire was completed by professors and experts in this field, and finally, the relationships between indicators were determined in the Cartesian coordinate system. The results showed that economic factors, agility, continuous improvement and flexibility are the most influential, and on the other hand, supplier management is the most influential among the Lars supply chain indicators.
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.
