Abstract




 
   

IJE TRANSACTIONS A: Basics Vol. 31, No. 10 (October 2018) 1280-1288   

downloaded Downloaded: 0   viewed Viewed: 319

  A HYBRID FMCDM MODEL BASED ON FUZZY DEMATEL WITH FUZZY ANP AND ISM FOR PRIORITIZING LARG SUPPLY CHAIN PRACTICES (RESEARCH NOTE)
 
A. H. Safaei Ghadikolaei, Z. Akbarzadeh, M. Madhoushi and H. Aghajani
 
( Received: January 02, 2018 – Accepted: April 26, 2018 )
 
 

Abstract    In the recent years, LARG supply chain (SC) paradigm, as a new alternative for organizations, has been emerged that is a combination of four SC paradigms i.e. lean, agile, resilient, and green; and encompassed theirs advantages. For exploiting of LARG advantages in SC companies have to recognize proper practices and implemented them with a appropriate planning and creating a good infrastructure. In this way, the present research is seeking to extract the LARG SC’ practices with review on literature and localize them in dairy industries SC by using fuzzy Saaty Delphi's method. Then, to determine importance of practices and drawing their impact relation map by using combination approach of fuzzy decision making trial and evaluation (FDEMATEL) with fuzzy analytical network process (FANP) techniques i.e. FDANP. Finally, in order to determine priority of practice’s implementation by using interpretative structural model (ISM). Totally, 166 practices have been recognized including 52 practices for lean SC, 32 practices for agile SC, 42 practices for resilient SC, 40 practices for green SC. The result indicates just in time (0.0657) and takt time (0.0651) are most important, and active participation of managers and staff in recovery process (0.0219) is less important practices, and lean (0.307) and green (0.178) SC paradigms, respectively are more and less important paradigms in dairy industries SC. In addition, just in time, takt time, relationships with suppliers and developing visibility in SC have highest priority in order to implementing in dairy industries SC.

 

Keywords    LARG Supply Chain, FDANP Technique, ISM, LARG Paradigms Practices, Dairy Industries.

 

چکیده    طی سال­های اخیر، پارادایم زنجیره تأمین لارج که ترکیبی از چهار تفکر ناب، چابک، تاب­آور و سبز است، به عنوان یکی از گزینه‌های انتخابی برای زنجیره تأمین سازمان­ها ظهور پیدا نموده، به طوری که مزایای ناب بودن، چابکی، تاب­آوری و سبز بودن را در خود جای داده است. به­منظور بهره­مندی از مزایای لارج در زنجیره تأمین ابتدا باید اقدامات مناسب شناسایی شوند و با برنامه­ریزی صحیح بستر لازم را برای ساری و جاری ساختن آنها فراهم گردد. در همین راستا، پژوهش حاضر درصدد است با مروری بر ادبیات تحقیق اقدامات مربوط به هریک از پاردایم‌های زنجیره تأمین لارج را شناسایی و با استفاده از روش دلفی فازی در زنجیره تأمین صنایع لبنی بومی­سازی نماید. سپس، با استفاده از رویکرد ترکیبی از تکیک­های دیمتل فازی و فرآیند تحلیل شبکه فازی یا به اختصار FDANP درجه اهمیت اقدامات زنجیره تأمین لارج را در صنایع لبنی تعیین و روابط علی بین آنها را ترسیم نماید. در نهایت با استفاده روش مدل ساختاری تفسیری اولویت اجرای هر یک از اقدامات را معین کند. مجموعاً 166 اقدام استخراج شدند که، 52 اقدام مربوط به زنجیره تأمین ناب، 32 اقدام مربوط به زنجیره تأمین چابک، 42 اقدام مربوط به زنجیره تأمین تاب­آور و 40 اقدام مربوط به زنجیره تأمین سبز بودند. نتابج حاکی از آن است که، تولید به هنگام (0657/0) و زمان تکت (0651/0) مهم­ترین و مشارکت فعال کارکنان و مدیران در فرآیند بازیابی (0219/0) کم­اهمیت­ترین اقدامات در صنایع لبنی هستند. علاوه­براین، تولید به هنگام، زمان تکت، ارتباط با تأمین­کنندگان و توسعه قابلیت رویت در زنجیره تأمین بالاترین اولویت اجرا را در زنجیره تأمین صنایع لبنی دارند.

References    Fard, A. M. F., Gholian-Jouybari, F., Paydar, M. M., & Hajiaghaei-Keshteli, M., “A Bi-Objective Stochastic Closed-loop Supply Chain Network Design Problem Considering Downside Risk”, INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, Vol. 16, (2017), 342-362.Nourmohamadi Shalke, P., Paydar, M. M., & Hajiaghaei-Keshteli, M., “Sustainable supplier selection and order allocation through quantity discounts”, International Journal of Management Science and Engineering Management, (2017), 2-13.Fard, A. M. F., & Hajaghaei-Keshteli, M., “A tri-level location-allocation model for forward/reverse supply chain”, Applied Soft Computing, Vol. 62, (2018), 328-346.Azevedo, S. G., Carvalho, H., & Machado, V. C. “The influence of LARG supply chain management practices on manufacturing supply chain performance”, In Proceedings of International Conference on Economics, Business and Marketing Management, (2011a, March), pp. 1-6.Azevedo, S. G., Carvalho, H., & Machado, V. C,. “A proposal of LARG supply chain management practices and a performance measurement system”, International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, (2011b), 7-14.Azevedo, S., Carvalho, H., & Cruz-Machado, V.,” Proposal of a conceptual model to analyse the influence of LARG practices on manufacturing supply chain performance”, Journal of Modern Accounting & AuditingVol. 8, (2012), 174-184.Cabral, I., Espadinha-Cruz, P., Grilo, A., Puga-Leal, R., & Cruz-:Machado, V., Decision-Making Models for Interoperable Lean, Agile, Resilient and Green Supply Chains”, In Proceedings of the International Symposium on the Analytic Hierarchy Process, (2011 a).Cabral, I., Grilo, A., Leal, R. P., & Machado, V. C., “Modeling Lean, Agile, Resilient, and Green Supply Chain Management”, Information Technology Interfaces (ITI), Proceedings of the ITI 2011 33rd International Conference on IEEE, (2011 b, June), 365-370.Carvalho, H., Duarte, S., & Cruz Machado, V., “Lean, agile, resilient and green: divergencies and synergies”, International Journal of Lean Six Sigma, Vol. 2, (2011), 151-179.Malaki, M., Shevtshenko, E. & Machado, V. C., “Development of Supply Chain Integration model through application of Analytic Network Process and Bayesian Network”, Int. J. Integrated Supply Management, Vol. 8, (2013), 67-89.Maleki, M., & Machado, V. C., “Generic integration of lean, agile, resilient, and green practices in automotive supply chain”, Revista de Management Comparat International, Vol. 14, (2013), 237-248.Carvalho, H., Azevedo, S. & Cruz-Machado, V., “Trade-offs among lean, agile, resilient and green paradigms in supply chain management: a case study approach”, In Proceedings of the Seventh International Conference on Management Science and Engineering Management, (2014), 953-968.Cruz, E. P., Cabral, I., & Grilo, A., “LARG Interoperable Supply Chains: from Cooperation Analysis to Design”, In Intelligent Decision Technologies: Proceedings of the 5th KES International Conference on Intelligent Decision Technologies, Vol. 255, (2013), 255.Cruz, E. P., Cabral, I., Grilo, A., & Cruz-Machado, V., “Information model for LARGe SCM interoperable practices”, In Information Technology Interfaces (ITI), Proceedings of the ITI 34th International Conference on IEEE, (2012a), 23-28.Cruz, E. P., Grilo, A., & Cruz-Machado, V., “Fuzzy evaluation model to assess interoperability in LARG Supply Chains”, In Fuzzy Systems and Knowledge Discovery (FSKD), 9th International Conference on IEEE, (2012b), 75-79.Santos, J. P. P. D. “A simulation model for Lean, Agile, Resilient and Green Supply Chain Management: practices and interoperability assessment”, Doctoral dissertation, Faculdade de Ciências e Tecnologia, (2013).Donk, P. V. D., Akkerman, R., & Van der Vaart, T., “Opportunities and realities of supply chain integration: the case of food manufacturers”, British Food Journal, Vol. 110, (2008), 218-235.Cheraghalipour, A., Paydar, M. M., & Hajiaghaei-Keshteli, M., “An integrated approach for collection center selection in reverse logistics”, Int J Eng Trans A Basics, Vol. 30, (2017), 1005-1016.Carvalho, Helena; Cruz Machado, V, “Lean, agile, resilient and green supply chain: a review”, Proceedings of the Third International Conference on Management Science and Engineering Management, Thailand, (2009), 3–14.Cabral, I., Grilo, A., & Cruz-Machado, V., “A decision-making model for lean, agile, resilient and green supply chain management”, International Journal of Production Research, Vol. 50, (2012), 4830-4845.Maleki, M., da Cruz, P. E., Valente, R. P., & Machado, V. C., “Supply Chain Integration Methodology: LARGe Supply Chain”, Encontro Nacional de Engenharia e Gestão Industrial, (2011), 57-66.Jassbi, A., Jassbi, J., Akhavan, P., Chu, M. T., & Piri, M., “An empirical investigation for alignment of communities of practice with organization using fuzzy Delphi panel”, VINE, Vol. 45, (2015), 322-343.Ghadikolaei, A. H. S., Akbarzadeh, Z., Ahmadi, A., & Geshniani, Y. V., “Applying hybrid FMADM model for analysing SWOT strategies at the Iranian industrial engines manufacturing firm (a case study)”, International Journal of Productivity and Quality Management, Vol. 20, (2017), 462-487.Liou, J. J., Yen, L., & Tzeng, G. H., “Building an effective safety management system for airlines”, Journal of Air Transport Management, Vol. 14, (2008), 20-26. Dalalah, D., Hayajneh, M., & Batieha, F., “A fuzzy multi-criteria decision making model for supplier selection”, Expert systems with applicationsVol. 38, (2011), 8384-8391. Kannan, G., Pokharel, S., & Sasi Kumar, P., “A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resources”, Conservation and Recycling, Vol. 54, (2009), 28–36. Beikkhakhian, Y., Javanmardi, M., Karbasian, M. & Khayambashi, B., “The application of ISM model in evaluating agile supplier's selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods”, Expert Systems with Applications, (2015), Article in press. Krishnamurthy, R. and Yauch, C.A., “Leagile manufacturing: a proposed corporate infrastructure”, International Journal of Operations and Production Management, Vol. 27, (2007), 588-604. Wan, H.D., “Measuring Leanness of Manufacturing Systems and Identifying Leanness Target by Considering Agility”, PhD Thesis, The Virginia Polytechnic Institute and State University, (2006).





International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir