طراحی شبکه زنجیره تأمین پایدار در شرایط تحریم
الموضوعات :عزت‌اله اصغری‌زاده 1 , سید علی ترابی 2 , علی محقر 3 , محمدعلی زارع شوریجه 4
1 - دانشگاه تهران
2 - دانشگاه تهران
3 - دانشگاه تهران
4 - دانشگاه تهران، دانشکده مدیریت
الکلمات المفتاحية: طراحی شبکه زنجیره تأمین پایداری اختلال تحریم مدل ریاضی,
ملخص المقالة :
امروزه با ظهور مفاهیم مدیریت ریسک و پایداری و تشدید فشارهای اجتماعی برای کاهش تأثیرات منفی فعالیت صنایع بر محیط زیست و اجتماع، اتخاذ تصمیماتی مانند طراحی شبکه زنجیره تأمین (SCND) بدون توجه به این ملاحظات تقریباً ناممکن است. در این مقاله با ترکیب ملاحظات مدیریت ریسک اختلال و پایداری (با تمرکز بیشتر بر جنبه‌های اجتماعی)، یک مدل کلی برنامه‌ریزی خطی عدد صحیح آمیخته (MILP) چندهدفه برای طراحی یک شبکه زنجیره تأمین حلقه بسته در شرایط اختلال تأمین مواد توسعه داده شد. شبکه زنجیره تأمین طراحی شده، زنجیره‌‌ای چندسطحی و چندمحصولی با حمل‌ونقل چندگانه است. رخداد تحریم به عنوان عامل اختلال تأمین مواد اولیه به صورت سناریوهای اختلال در مبادی تأمین مواد در مسأله در نظر گرفته شد. مهمترین متغیرهای تصمیم این مدل مربوط هستند به: انتخاب تأمین‌کنندگان، مقدار سفارش از هر ماده اولیه، استقرار انواع تسهیلات، جریان بین تسهیلات و نوع وسیله حمل‌ونقل. در نهایت برای سنجش اثربخشی و کاربردی بودن مدل پیشنهادی، به عنوان یک موردِ مطالعه‌ی دنیای واقعی، یک شبکه زنجیره تأمین حلقه بسته در صنعت تایر ایران طراحی گردید و روی برخی پارامترهای مهم مسأله تحلیل حساسیت صورت گرفت.
Simchi-Levi, D., Kaminsky, P. ,Simchi-Levi, E. (2000). Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. McGraw-Hill/Irwin.
Chandra, C. ,Grabis, J. (2007). Supply chain configuration. Springer.
Farahani, R. Z., Rezapour, S., Drezner, T. ,Fallah, S. (2014). Competitive supply chain network design: An overview of classifications, models, solution techniques and applications, Omega,45:92-118.
Eskandarpour, M., Dejax, P., Miemczyk, J. ,Péton, O. (2015). Sustainable supply chain network design: an optimization-oriented review, Omega,54:11-32.
Christopher, M. ,Peck, H. (2004). Building the resilient supply chain, The international journal of logistics management,15:1-14.
WCED. (1987). Our Common Future, World Commission on Environment and Development, Oxford.
Slaper, T. F. ,Hall, T. J. (2011). The triple bottom line: What is it and how does it work, Indiana business review,86:4-8.
Das, K. ,Chowdhury, A. H. (2012). Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning, International Journal of Production Economics,135:209-221.
Özkır, V. ,Başlıgil, H. (2013). Multi-objective optimization of closed-loop supply chains in uncertain environment, Journal of Cleaner Production,41:114-125.
Amin, S. H. ,Zhang, G. (2012). An integrated model for closed-loop supply chain configuration and supplier selection: Multi-objective approach, Expert Systems with Applications,39:6782-6791.
Tang, C. S. (2006). Perspectives in supply chain risk management, International journal of production economics,103:451-488.
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.
Caruso, C., Colorni, A. ,Paruccini, M. (1993). The regional urban solid waste management system: A modelling approach, European Journal of Operational Research,70:16-30.
Fleischmann, M., Beullens, P., BLOEMHOF‐RUWAARD, J. M. ,Van Wassenhove, L. N. (2001). The impact of product recovery on logistics network design, Production and operations management,10:156-173.
Krikke, H., Bloemhof-Ruwaard, J. ,Van Wassenhove, L. N. (2003). Concurrent product and closed-loop supply chain design with an application to refrigerators, International journal of production research,41:3689-3719.
Salema, M., Póvoa, A. ,Novais, A. Q. (2006). A warehouse-based design model for reverse logistics, Journal of the Operational Research Society,57:615-629.
Guillén‐Gosálbez, G. ,Grossmann, I. E. (2009). Optimal design and planning of sustainable chemical supply chains under uncertainty, AIChE Journal,55:99-121.
Kannan, G., Sasikumar, P. ,Devika, K. (2010). A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling, Applied Mathematical Modelling,34:655-670.
Bouzembrak, Y., Allaoui, H., Goncalves, G., Masson, E., Bouchriha, H. ,Baklouti, M.(2010). Sustainable multimodal supply chain design for recycling waterways sediments, 8th International Conference of Modeling and Simulation-MOSIM10, May.
Chaabane, A., Ramudhin, A. ,Paquet, M. (2012). Design of sustainable supply chains under the emission trading scheme, International Journal of Production Economics,135:37-49.
Diabat, A., Abdallah, T., Al-Refaie, A., Svetinovic, D. ,Govindan, K. (2013). Strategic closed-loop facility location problem with carbon market trading, IEEE Transactions on engineering Management,60:398-408.
Saffar, M. ,Razmi, J. (2014). A new bi-objective mixed integer linear programming for designing a supply chain considering CO2 emission, Uncertain Supply Chain Management,2:275-292.
Saffar, M. ,Razmi, J. (2015). A new multi objective optimization model for designing a green supply chain network under uncertainty, International Journal of Industrial Engineering Computations,6:15-32.
Govindan, K., Paam, P. ,Abtahi, A.-R. (2016). A fuzzy multi-objective optimization model for sustainable reverse logistics network design, Ecological indicators,67:753-768.
Soleimani, H., Govindan, K., Saghafi, H. ,Jafari, H. (2017). Fuzzy multi-objective sustainable and green closed-loop supply chain network design, Computers & Industrial Engineering,109:191-203.
Babazadeh, R., Razmi, J., Pishvaee, M. S. ,Rabbani, M. (2017). A sustainable second-generation biodiesel supply chain network design problem under risk, Omega,66:258-277.
Mota, B., Gomes, M. I., Carvalho, A. ,Barbosa-Povoa, A. P. (2018). Sustainable supply chains: An integrated modeling approach under uncertainty, Omega,77:32-57.
Zarbakhshnia, N., Soleimani, H., Goh, M. ,Razavi, S. S. (2019). A novel multi-objective model for green forward and reverse logistics network design, Journal of Cleaner Production,208:1304-1316.
Ghaderi, H., Pishvaee, M. S. ,Moini, A. (2016). Biomass supply chain network design: an optimization-oriented review and analysis, Industrial crops and products,94:972-1000.
Sahebjamnia, N., Fathollahi-Fard, A. M. ,Hajiaghaei-Keshteli, M. (2018). Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks, Journal of cleaner production,196:273-296.
Ansari, Z. N. ,Kant, R. (2017). A state-of-art literature review reflecting 15 years of focus on sustainable supply chain management, Journal of cleaner production,142:2524-2543.
Heckmann, I., Comes, T. ,Nickel, S. (2015). A critical review on supply chain risk–Definition, measure and modeling, Omega,52:119-132.
Guillén-Gosálbez, G. ,Grossmann, I. (2010). A global optimization strategy for the environmentally conscious design of chemical supply chains under uncertainty in the damage assessment model, Computers & Chemical Engineering,34:42-58.
Pishvaee, M. S., Razmi, J. ,Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach, Fuzzy sets and systems,206:1-20.
Abdallah, T., Diabat, A. ,Rigter, J. (2013). Investigating the option of installing small scale PVs on facility rooftops in a green supply chain, International Journal of Production Economics,146:465-477.
Bouzembrak, Y., Allaoui, H., Goncalves, G. ,Bouchriha, H. (2013). A multi-modal supply chain network design for recycling waterway sediments, International Journal of Environment and Pollution,51:15-31.
Beheshtifar, S. ,Alimoahmmadi, A. (2015). A multiobjective optimization approach for location‐allocation of clinics, International Transactions in Operational Research,22:313-328.
Torabi, S., Namdar, J., Hatefi, S. ,Jolai, F. (2016). An enhanced possibilistic programming approach for reliable closed-loop supply chain network design, International Journal of Production Research,54:1358-1387.
Tsao, Y.-C., Linh, V.-T. ,Lu, J.-C. (2017). Closed-loop supply chain network designs considering RFID adoption, Computers & Industrial Engineering,113:716-726.
Fattahi, M. ,Govindan, K. (2018). A multi-stage stochastic program for the sustainable design of biofuel supply chain networks under biomass supply uncertainty and disruption risk: A real-life case study, Transportation Research Part E: Logistics and Transportation Review,118:534-567.
Grant, S. ,Solicitors, H. G. (2005). International migration and human rights. Global Commission on International Migration (GCIM).
UNHCR. (2009). Migration and Development: a Human Rights Approach, Switzerland.
Shayan, H. ,Kohnepushi, S. H. (2013). Analysis of the causes of rural-urban migration (Case study: Khav and Myrabad District, Marivan County), Journal of Research and Rural Planning,2:115-141.
Singh, R. K., Murty, H. R., Gupta, S. K. ,Dikshit, A. K. (2012). An overview of sustainability assessment methodologies, Ecological indicators,15:281-299.
Andrews, E. S., Barthel, L.-P., Beck, T., Benoît, C., Ciroth, A., Cucuzzella, C., Gensch, C.-O., Julie, F., Lesage, P., Manhart, A., Mazeau, P., Mazijn, B., Methot, A.-L., Moberg, A., Norris, G., Parent, J., Prakash, S., Reveret, J.-P., Spillemaeckers, S., Ugaya, C. M. L., Valdivia, S. ,Weidema, B. (2009). Guidelines for social life cycle assessment of products. United Nations Environment Programme (UNEP)/Earthprint.
Dehghanian, F. ,Mansour, S. (2009). Designing sustainable recovery network of end-of-life products using genetic algorithm, Resources, Conservation and Recycling,53:559-570.
Hassini, E., Surti, C. ,Searcy, C. (2012). A literature review and a case study of sustainable supply chains with a focus on metrics, International Journal of Production Economics,140:69-82.
Global Reporting Initiative (GRI). (2013). Sustainability reporting guidelines, Amsterdam, The Netherlands.
Simões, M., Carvalho, A., de Freitas, C. L. ,Barbósa-Póvoa, A., "How to assess social aspects in supply chains?," in Computer Aided Chemical Engineering. vol. 34, ed: Elsevier, 2014, pp. 801-806.
قدسی‌پور, ح. (1392). فرآیند تحلیل سلسله مراتبی, دانشگاه امیرکبیر, تهران.
Amin, S. H. ,Zhang, G. (2012). A proposed mathematical model for closed-loop network configuration based on product life cycle, The International Journal of Advanced Manufacturing Technology,58:791-801.
مرکز آمار ایران. (1390). مهاجرتهاي داخلي كشور: در سطح شهرستان. تهران: مرکز آمار ایران.
Hwang, C.-L. ,Masud, A. S. M. (1979). Multiple objective decision making—methods and applications: a state-of-the-art survey, vol. 164. Springer-Verlag, New York.
Boychuk, L. ,Ovchinnikov, V. (1973). Principal methods of solution of multicriterial optimization problems (survey), Soviet Automatic Control,6:1-4.
