سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات158
تعداد شماره‌ها6,230
تعداد مقالات67,758
تعداد مشاهده مقاله115,125,856
تعداد دریافت فایل اصل مقاله89,893,804
Teymouri, Ebrahim, Paydar, Mohammad Mahdi, Yadollahiniya, Maedeh. (1395). A Multi-objective Supply Chain Network Design Regarding Customer Relationship Management. , 50(3), 393-405. doi: 10.22059/jieng.2016.63157
Ebrahim Teymouri; Mohammad Mahdi Paydar; Maedeh Yadollahiniya. "A Multi-objective Supply Chain Network Design Regarding Customer Relationship Management". , 50, 3, 1395, 393-405. doi: 10.22059/jieng.2016.63157
Teymouri, Ebrahim, Paydar, Mohammad Mahdi, Yadollahiniya, Maedeh. (1395). 'A Multi-objective Supply Chain Network Design Regarding Customer Relationship Management', , 50(3), pp. 393-405. doi: 10.22059/jieng.2016.63157
Teymouri, Ebrahim, Paydar, Mohammad Mahdi, Yadollahiniya, Maedeh. A Multi-objective Supply Chain Network Design Regarding Customer Relationship Management. , 1395; 50(3): 393-405. doi: 10.22059/jieng.2016.63157

A Multi-objective Supply Chain Network Design Regarding Customer Relationship Management

Advances in Industrial Engineering
مقاله 5، دوره 50، شماره 3، اسفند 2016، صفحه 393-405    اصل مقاله (1019.41 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jieng.2016.63157
نویسندگان
Ebrahim Teymouri* ؛ Mohammad Mahdi Paydar؛ Maedeh Yadollahiniya
Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده
In recent years, for governments and industries waste management has become more important than ever due to legal requirements, economic profitability, environmental sensitivities and customer awareness development. The main objective of this article is to develop a mathematical programming model, in order to simultaneously improve the existing forward supply chain (SC) as well as to design reverse SC for the aim of collecting and recycling the used products, and also to coordinate the whole SC. The presented multi-objective model is solved by using revised multi-choice goal programming approach. The other objective of this work is to develop a more customer centric SC, which is successfully achieved by modeling the customer relationship management concept with strategic and tactical SC decisions. More importantly, the realization rate of the objectives, considering their importance to SC is shown to help senior managers in the decision-making process. The proposed model is designed for the new and emerging industry of recycling used tires in Iran, and is implemented by software with the cited industry data.
کلیدواژه‌ها
Bi-objective mathematical model؛ Customer relationship management؛ Supply Chain Management
عنوان مقاله [English]
طراحی شبکۀ زنجیرۀ تأمین چندهدفه با درنظرگرفتن مدیریت ارتباط با مشتری
نویسندگان [English]
ابراهیم تیموری؛ محمد مهدی پایدار؛ مائده یداللهی نیا
دانشیار دانشکدة مهندسی صنایع دانشگاه علم و صنعت ایران
چکیده [English]
در سال‌های اخیر، مدیریت مواد زائد، به‌علت الزامات قانونی، سودآوری اقتصادی، حساسیت‌های زیست‌محیطی و رشد آگاهی‌های مشتریان، برای دولت‌ها و صنایع بیش از گذشته اهمیت یافته است. هدف پژوهش حاضر ارائة یک مدل برنامه‌ریزی ریاضی به‌منظور بهبود زنجیرة رو به جلوی موجود به همراه طراحی بهینة زنجیرة رو به عقب، به‌منظور جمع‌آوری مواد زائد و بازیافت آن‌ها و همچنین یکپارچه‌سازی کل زنجیره است. مدل چندهدفة ارائه‌شده از طریق برنامه‌ریزی آرمانی چندگزینه‌ای اصلاح‌شده حل شد. همچنین، دیگر هدف پژوهش که مشتری‌محورکردن زنجیره است، با استفاده از مدل‌نویسی ریاضی و بررسی همزمان مفهوم مدیریت ارتباط با مشتری و تصمیمات راهبردی و تاکتیکی تحقق یافت. مهم‌تر آنکه به‌منظور کمک به فرایند تصمیم‌گیری مدیران ارشد، روند تحقق این اهداف با توجه به میزان اهمیت آن‌ها برای زنجیره، بیان شد. مدل برای مطالعة موردی صنعت بازیافت لاستیک فرسوده در کشور که صنعتی جوان است، طراحی و با داده‌های این صنعت در نرم‌افزار اجرا شد.
کلیدواژه‌ها [English]
مدل ریاضی دوهدفه, مدیریت ارتباط با مشتری, مدیریت زنجیرة تأمین
مراجع
  1. Krikke, H., Hofenk, D. and Wang, Y. (2013). “Revealing an invisible giant: A comprehensive survey into return practices within original (closed-loop) supply chains”, Resources, Conservation and Recycling, Vol. 73, No. 1, PP. 239-250.
  2. Lund, R. T. and Hauser, W. M. (2010). “Remanufacturing-an American perspective”, 5th International Conference on Responsive Manufacturing-Green Manufacturing (ICRM 2010), China.
  3. Jin, Y., Muriel, A. and Lu, Y. (2007). “On the profitability of remanufactured products”, Working paper in research gate.
  4. Barros, A. I., Dekker, R. and Scholten, V. (1998). “A two-level network for recycling sand: A case study” European Journal of Operational Research, Vol. 110, No2, PP. 199-214.
  5. Listeş, O. and Dekker, R. (2005). “A stochastic approach to a case study for product recovery network design”, European Journal of Operational Research, Vol. 160, No. 1, PP. 268-287.
  6. Shih, L. H. (2001). “Reverse logistics system planning for recycling electrical appliances and computers in Taiwan”, Resources, Conservation and Recycling, Vol. 32, No. 1, PP. 55-72.
  7. Realff, M. J., Ammons, J. C. and Newton, D. J. (2004). “Robust reverse production system design for carpet recycling”, IIE Transactions, Vol. 36, No. 8, PP. 767-776.
  8. Dehghanian, F., Mansour, S. and Farahani, R. Z. (2010). “Applying interactive multi objective decision making method in design of a sustainable recovery network to include differeent stakeholders preferences”, World Applied Sciences Journal, Vol. 8, No. 3, PP. 596-607.
  9. Dehghanian, F. and Mansour, S. (2009). “Designing sustainable recovery network of end-of-life products using genetic algorithm”, Resources, Conservation and Recycling, Vol. 53, No. 10, PP. 559-570.
  10. Kara, S. S. and Onut, S. (2010). “A two-stage stochastic and robust programming approach to strategic planning of a reverse supply network: The case of paper recycling”, Expert Systems with Applications, Vol. 37, No. 9, PP. 6129-6137.
  11. Vahdani, B., Tavakkoli-Moghaddam, R. and Jolai, F. (2013). “Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model”, Applied Mathematical Modelling, Vol. 37, No. 5, PP. 3254-3268.
  12. Atamer, B., Bakal, İ. S. and Bayındır, Z. P. (2013). “Optimal pricing and production decisions in utilizing reusable containers”, International Journal of Production Economics, Vol. 143, No. 2, PP. 222-232.
  13. Ferri, G. L., Diniz Chaves, G. d. L. and Ribeiro, G. M. (2015). “Reverse logistics network for municipal solid waste management: The inclusion of waste pickers as a Brazilian legal requirement”, Waste Management, Vol. 40, No. 1, PP. 173-191.
  14. Zhou, X. and Zhou, Y. (2015). “Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing”, Resources, Conservation and Recycling, Vol. 100, No. 1, PP. 58-69.
  15. Galvez, D., Rakotondranaivo, A., Morel, L., Camargo, M. and Fick, M. (2015). “Reverse logistics network design for a biogas plant: An approach based on MILP optimization and Analytical Hierarchical Process (AHP)”, Journal of Manufacturing Systems, Vol. 37, No. 3, PP. 616-623.
  16. Cardoso, S. R., Barbosa-Póvoa, A. P. F. D. and Relvas, S. (2013). “Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty”, European Journal of Operational Research, Vol. 226, No. 3, PP. 436-451.
  17. Entezaminia, A., Heydari, M. and Rahmani, D. (2016). “A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain: Considering collection and recycling centers”, Journal of Manufacturing Systems, Vol. 40, No. 1, PP. 63-75.
  18. Yousefi Babadi, A. and Shishebori, D. (2015). “Robust optimization of integrated reverse logistic network design at uncertain conditions”, Journal of Industrial Engineering, Vol. 49, No. 2, PP. 299-313.
  19. Saffar, M. M., Shakouri, H., Ganjavi, and Razmi, J. (2015). “A green closed loop supply chain network design considering operational risks under uncertainty and solving the model with NSGA II algorithm”, Journal of Industrial Engineering, Vol. 49, No. 1, PP. 55-68.
  20. Ghesmati, R., Ghazanfari, M. and Pishvaee, M. S. (2016). “A robust fuzzy-probabilistic programming model for a reliable supply chain network design problem”, Journal of Industrial Engineering, Vol. 50, No. 1, PP. 53-68.
  21. Paydar, M. M. and Saidi-Mehrabad, M. (2015). “Revised multi-choice goal programming for integrated supply chain design and dynamic virtual cell formation with fuzzy parameters”, International Journal of Computer Integrated Manufacturing, Vol. 28, No. 3, PP. 251-265.
  22. Chang, C. T. (2008). “Revised multi-choice goal programming”, Applied Mathematical Modelling, Vol. 32, No. 12, PP. 2587-2595.
  23. Samadian, F. (2011). Tire recycling report, Iran ministry of mining and industry, Central library (in persian).
آمار
تعداد مشاهده مقاله: 882
تعداد دریافت فایل اصل مقاله: 960


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب