مدل چندهدفه طراحی شبکه ‌تأمین‌کنندگان‌ قابل‌اطمینان ‌چرخه‌ای با لحاظ اشتراک دانش، پشتیبان و معیارهای چرخه‌ای

سجادیان, سید محمد; عباسی, مرتضی; حسنوی, رضا

مدل چندهدفه طراحی شبکه ‌تأمین‌کنندگان‌ قابل‌اطمینان ‌چرخه‌ای با لحاظ اشتراک دانش، پشتیبان و معیارهای چرخه‌ای

نوع مقاله : پژوهشی

نویسندگان

¹ دانشجوی دکتری گروه مهندسی صنایع، دانشکده مهندسی صنایع و مدیریت، دانشگاه صنعتی مالک اشتر، تهران، ایران

² استادیار گروه مهندسی صنایع، دانشکده مهندسی صنایع و مدیریت، دانشگاه صنعتی مالک اشتر، تهران، ایران

³ استاد گروه مهندسی صنایع، دانشکده مهندسی صنایع و مدیریت، دانشگاه صنعتی مالک اشتر، تهران، ایران

چکیده

با توجه به تهدیدات جهانی مانند بیماری‌های همه‌گیر و جنگ برای زنجیره‌های تأمین، طراحی مجدد شبکه تأمین‌کنندگان با معیارهای چرخه‌ای، کاهش هزینه و پشتیبان گیری مناسب برای کاهش ریسک عرضه، یک نیاز حیاتی در جامعه صنعتی امروز است. لذا این مقاله برای پاسخگویی به این مسئله، یک مدل چندهدفه با اهداف متناقض برای طراحی شبکه ‌تأمین‌‌کنندگان قابل‌اعتماد چرخه‌ای با لحاظ قابلیت اشتراک دانش، پشتیبان، مهارت‌، شبکه‌های همکاری قابل‌اعتماد، هزینه، ظرفیت، تخصیص سفارش و معیارهای چرخه‌ای برای محصول ماژولار توسعه داد. مدل پیشنهادی برای طراحی شبکه به‌طور هم‌زمان عوامل کلیدی: 1) معیارهای چرخه‌ای، 2) شبکه همکاری و سوابق قبلی بین تأمین‌کنندگان، 3) مهارت، 4) قابلیت اشتراک دانش و تجربه، و 5) هزینه و تأمین‌کنندگان پشتیبان را در نظر گرفت. مدل بامطالعه عددی داده شبیه‌سازی‌شده و نیز با داده واقعی دوربین الکترواپتیکی، ارزیابی شد و با روش دقیق محدودیت اپسیلون تقویت‌شده و ال‌پی‌متریک و حل دقیق مسائل در مقیاس کوچک اعتبارسنجی گردید و تحلیل حساسیت نیز انجام گردید؛ لذا ابتدا یک محصول ماژولار انتخاب گردید و تعداد ماژول‌ها با خوشه‌بندی مشخص شد. پس‌ازآن معیارها، پارامترها و متغیرها تعیین گردید و پس از فرمول‌بندی و حل مدل، مدل اعتبار سنجی گردید و نتایج، تیم‌ها و تخصیص بهینه سفارش تعیین گردید. از نتایج حاصل از حل مدل با داده ساختگی، تیم اصلی (1، 2، 3، 4 و 15) و تیم پشتیبان (4، 8 و 9) به دست آمد. همچنین از نتایج حاصل از حل مدل با داده واقعی، تیم اصلی (1، 2، 3، 8، 9 و 10) و تیم پشتیبان (4) به دست آمد. نتایج نشان داد که این رویکرد بر اساس تمامی مفروضات، شبکه‌ تأمین‌‌کنندگان قابل‌اطمینان چرخه‌ای بهینه را در دو مجموعه اصلی و پشتیبان با کمترین هزینه، بیشترین اشتراک دانش و قابلیت اعتماد و معیارهای چرخه‌ای پیشنهاد‌ می‌نماید. نتایج منطبق با نیاز جامعه صنعتی مدرن می‌باشد. در پایان پیشنهادهایی برای تحقیقات آینده ارائه گردید.

کلیدواژه‌ها

20.1001.1.20089198.1401.24.76.4.5

موضوعات

طراحی و توسعه شبکه زنجیره تأمین/ لجستیک

عنوان مقاله [English]

A Multi-Objective Model for Reliable Circular Supplier Network Design Considering Knowledge Sharing, Backup Supplier, and Circular Criteria

نویسندگان [English]

Seyed mohammad sajadiyan ¹
morteza abbasi ²
Reza Hosnavi Atashghah ³

¹ Malek Ashtar University of Technology

² Malek Ashtar University of technology

³ Maleke Ashtar university

چکیده [English]

Due to global threats such as pandemics and wars affecting supply chains, redesigning the supplier network with circular criteria, cost reduction and proper supplier backup to reduce supply risk is a an importtant need in today's industrial society. To address this issue, this paper developed a multi-objective model with conflicting objectives to design a circular reliable supplier network considering knowledge sharing capability, backup, skills, reliable cooperation networks, cost, capacity, order allocation, and circular criteria for a modular product. The proposed model for network design simultaneously considers the following key factors: 1) circular criteria, 2) cooperation network and historical records between suppliers, 3) skills, 4) ability to share knowledge and experience, and 5) cost and backup suppliers. The model was evaluated with the numerical study of the simulated data as well as with the real data of the electro-optical camera, and it was validated with the precise method of a‌u‌g‌m‌e‌n‌t‌e‌d e‌p‌s‌i‌l‌o‌n c‌o‌n‌s‌t‌r‌a‌i‌n‌t m‌e‌t‌h‌o‌d and LPmetric and the exact solution of small-scale problems, and the sensitivity analysis was also performed.; Therefore, first a modular product was selected and the number of modules was determined by clustering. Then, the parameters and variables were determined and after formulating and solving the model, the model was validated and the results, teams and optimal order allocation were determined. From the results of solving the model with artificial data, the main team (1, 2, 3, 4 and 15) and the support team (4, 8 and 9) were obtained. Also, according to the results of solving the model with real data, the main team (1, 2, 3, 8, 9 and 10) and the support team (4) were obtained. The results showed that, based on all the assumptionsو this approach, suggests the network of optimal circular reliable suppliers in two main and supporting groups with the lowest cost, the most knowledge sharing and reliability and circular criteria. The results are in line with the needs of modern industrial society. At the end, suggestions for future research were presented.

کلیدواژه‌ها [English]

Circular Criteria
Selection of Reliable Circular Suppliers and Order Allocation
Design Structure Matrix
Modular Product Architecture
Multi-Objective Model

مراجع

Nepal, L. Monplaisir, and O. Famuyiwa, "Matching product architecture with supply chain design," European Journal of Operational Research, vol. 216, no. 2, pp. 312-325, 2012.
Bardi, "Corporate Strategies and Organisational Models," Lines of Development and Evolutionary Trends in the Automobile Sector, 2002.
Mirzaee, B. Naderi, and S. H. R. Pasandideh, "A preemptive fuzzy goal programming model for generalized supplier selection and order allocation with incremental discount," Computers & Industrial Engineering, vol. 122, pp. 292-302, 2018.
Jadidi, S. Zolfaghari, and S. Cavalieri, "A new normalized goal programming model for multi-objective problems: A case of supplier selection and order allocation," International Journal of Production Economics, vol. 148, pp. 158-165, 2014.
Aissaoui, M. Haouari, and E. Hassini, "Supplier selection and order lot sizing modeling: A review," Computers & Operations Research, vol. 34, no. 12, pp. 3516-3540, 2007.
Karimmian, S. H. Ghodsypour, and J. Gheidar-Kheljani, "Supplier Selection Problem Considering Relationships between ‌Suppliers and Supply Disruption Risk in complex products," Journal of Production and Operations Management, vol. 8, no. 2, pp. 135-150, 2018.
Rezaei, I. Ghalehkhondabi, M. Rafiee, and S. N. Zanganeh, "Supplier selection and order allocation in CLSC configuration with various supply strategies under disruption risk," (in English), Opsearch, Article vol. 57, no. 3, pp. 908-934, Sep 2020.
Akella, V. F. Araman, and J. Kleinknecht, "B2B Markets: Procuremen and supplier risk management in E-Business," in Supply chain management: Models, applications, and research directions: Springer, pp. 33-66, 2002.
A. Torabi, M. Baghersad, and S. A. Mansouri, "Resilient supplier selection and order allocation under operational and disruption risks," Transportation Research Part E: Logistics and Transportation Review, vol. 79, pp. 22-48, 2015.
B. Chen, H. M. Zhao, and T. J. Xiao, "Outsourcing contracts and ordering decisions of a supply chain under multi-dimensional uncertainties," (in English), Computers & Industrial Engineering, Article vol. 130, pp. 127-141, Apr 2019.
Majd, V. Balakrishnan, and V. Godazgar, "Selecting the reliable supplier by using the advisor agents," Journal of Business & Industrial Marketing, 2017.
Nobari, A. Khierkhah, and V. Hajipour, "A Pareto-based approach to optimise aggregate production planning problem considering reliable supplier selection," International Journal of Services and Operations Management, vol. 29, no. 1, pp. 59-84, 2018.
B. Tirkolaee, A. Mardani, Z. Dashtian, M. Soltani, and G.-W. Weber, "A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design," Journal of Cleaner Production, vol. 250, p. 119517, 2020.
Zaretalab, V. Hajipour, and M. Tavana, "Redundancy allocation problem with multi-state component systems and reliable supplier selection," Reliab. Eng. Syst. Saf., vol. 193, p. 106629, 2020.
K. Nasr, M. Tavana, B. Alavi, and H. Mina, "A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains," Journal of Cleaner production, vol. 287, p. 124994, 2021.
Govindan, H. Mina, A. Esmaeili, and S. M. Gholami-Zanjani, "An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty," (in English), Journal of Cleaner Production, vol. 242, no. 118317, 2020.
M. Hosseini and P. Akhavan, "A model for project team formation in complex engineering projects under uncertainty A knowledge-sharing approach," (in English), KYBERNETES, vol. 46, no. 7, pp. 1131-1157, 2017.
Fathian, M. Saei-Shahi, and A. Makui, "A New Optimization Model for Reliable Team Formation Problem Considering Experts’ Collaboration Network," IEEE Transactions on Engineering Management, vol. 64, no. 4, pp. 586-593, 2017.
sajadiyan, R. Hosnavi, m. karbasian, and m. abbasi, "BI-objective Optimization Model of product architecture link and supplier network for Modules Assignment by Simultaneously Considering the Interactions Between Modules and the Relationship Between the Suppliers, with The Applied Study of The Electro-Optical Camera," (in en), Journal of Production and Operations Management, 2022.
Di Pasquale, M. E. Nenni, and S. Riemma, "Order allocation in purchasing management: a review of state-of-the-art studies from a supply chain perspective," (in English), International Journal of Production Research, Review vol. 58, no. 15, pp. 4741-4766, Aug 2020.
Awasthi, K. Govindan, and S. Gold, "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, vol. 195, pp. 106-117, 2018.
Banaeian, H. Mobli, B. Fahimnia, I. E. Nielsen, and M. Omid, "Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry," Computers & Operations Research, vol. 89, pp. 337-347, 2018.
O. Erikstad, "Design for modularity," in A holistic approach to ship design: Springer, pp. 329-356, 2019.
V. Steward, "The design structure system: A method for managing the design of complex systems," IEEE Transactions on Engineering Management, vol. EM-28, no. 3, pp. 71-74, 1981.
Kafi and S. M. T. Fatemi Ghomi, "A Game-Theoretic Model to Analyze Value Creation with Simultaneous Cooperation and Competition of Supply Chain Partners," Mathematical Problems in Engineering, vol. 2014, pp. 1-10, 2014.
Kapoor and P. J. McGrath, "Unmasking the interplay between technology evolution and R&D collaboration: Evidence from the global semiconductor manufacturing industry, 1990–2010," Research Policy, vol. 43, no. 3, pp. 555-569, 2014.
Rezaei, I. Ghalehkhondabi, M. Rafiee, and S. Namdar Zanganeh, "Supplier selection and order allocation in CLSC configuration with various supply strategies under disruption risk," (in English), Opsearch, Article vol. 57, no. 3, pp. 908-934, 2020.
Farooque, A. Zhang, M. Thürer, T. Qu, and D. Huisingh, "Circular supply chain management: A definition and structured literature review," (in English), Journal of Cleaner Production, Review vol. 228, pp. 882-900, 2019.
Lahane, R. Kant, and R. Shankar, "Circular supply chain management: A state-of-art review and future opportunities," (in English), Journal of Cleaner Production, Review vol. 258, no. 120859, 2020.
Batista, M. Bourlakis, P. Smart, and R. Maull, "In search of a circular supply chain archetype–a content-analysis-based literature review," Production Planning & Control, vol. 29, no. 6, pp. 438-451, 2018.
González-Sánchez, D. Settembre-Blundo, A. M. Ferrari, and F. E. García-Muiña, "Main dimensions in the building of the circular supply chain: A literature review," (in English), Sustainability (Switzerland), Review vol. 12, no. 6, Art no. 2459, 2020.
D. Kannan, H. Mina, S. Nosrati-Abarghooee, and G. Khosrojerdi, "Sustainable circular supplier selection: A novel hybrid approach," Science of the Total Environment, vol. 722, p. 137936, 2020.
Alavi, M. Tavana, and H. Mina, "A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy," (in English), Sustain. Prod. Consump., Article vol. 27, pp. 905-920, 2021.
Mina, D. Kannan, S. M. Gholami-Zanjani, and M. Biuki, "Transition towards circular supplier selection in petrochemical industry: A hybrid approach to achieve sustainable development goals," Journal of Cleaner Production, vol. 286, p. 125273, 2021.
Govindan, H. Mina, A. Esmaeili, and S. M. Gholami-Zanjani, "An integrated hybrid approach for circular supplier selection and closed loop supply chain network design under uncertainty," Journal of Cleaner Production, vol. 242, p. 118317, 2020.
Siemsen, A. V. Roth, and S. Balasubramanian, "How motivation, opportunity, and ability drive knowledge sharing: The constraining-factor model," Journal of Operations Management, vol. 26, no. 3, pp. 426-445, 2008.
A. ElMaraghy and N. Mahmoudi, "Concurrent design of product modules structure and global supply chain configurations," International Journal of Computer Integrated Manufacturing, vol. 22, no. 6, pp. 483-493, 2009.
Mavrotas and K. Florios, "An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems," Applied Mathematics and Computation, vol. 219, no. 18, pp. 9652-9669, 2013.
Kargar, A. An, and M. Zihayat, "Efficient Bi-objective Team Formation in Social Networks," in Machine Learning and Knowledge Discovery in Databases, ed: Springer Berlin Heidelberg, pp. 483-498, 2012.