IJE TRANSACTIONS A: Basics Vol. 31, No. 4 (April 2018) 640-647    Article in Press

PDF URL: http://www.ije.ir/Vol31/No4/A/16-2742.pdf  
downloaded Downloaded: 28   viewed Viewed: 337

M. Soolaki, J. Arkat and F. Ahmadizar
( Received: August 04, 2017 – Accepted in Revised Form: January 04, 2018 )

Abstract    Nowadays, we are witnessing the growth of firms that distribute the production capacity of their products to a wide geographic range to supply the demand of several markets. In this article, the relationships and interactions between cell design and supply chain design are investigated. For this purpose, a novel integrated model is presented for designing dynamic cellular manufacturing systems in supply chain design. Different components in the supply chain design, such as location of production facilities at a number of candidate sites, procurement of raw materials from suppliers, shipment of raw materials to production facilities, manufacturing of products, and distribution of products to markets are considered in dynamic environments. The costs concerning these components are minimized. Since the proposed problem is NP-hard, however, a genetic algorithm is presented for application of the model to real-sized instances. Numerical examples demonstrate that the algorithm performs successfully in searching for optimal or near-optimal solutions.


Keywords    dynamic cellular manufacturing systems, cell formation problem, supply chain design, genetic algorithm


چکیده    امروزه شاهد افزایش روزافزون بنگاه‌های‌اقتصادی هستیم که برای تأمین تقاضای چندین بازار، ظرفیت تولیدی محصولات خودرادرگستره جغرافیایی وسیعی توزیع می‌نمایند.به منظور بررسی چنین شرکت‌هایی، دراین مقاله ارتباطات وتعاملات بین طراحی سلولی تسهیلات تولیدی و طراحی زنجیره تأمین، بررسی می‌شود. برای این منظور، یک مدل یک پارچه ریاضی جدید برای طراحی سیستم‌‌های تولیدسلولی پویادرطراحی زنجیره تأمین ارائه می‌شود. مولفه‌های مختلفی از طراحی زنجیره تأمین مانندانتخاب مکان تسهیلات تولیدی ازبین تعدادی سایت کاندیدا،تهیه موادخام ازتامین کنندگان، حمل ونقل مواداولیه به تولیدکنندگان، تولیدوتوزیع محصولات به بازارهادریک محیط پویادرنظرگرفته می‌شودوهزینه‌های مربوط به این مولفه‌ها، کمینه‌سازی می‌گردد. از آن جاییکه مساله پیشنهادی ناچندجمله‌ای سخت است برای کاربرد مدل دراندازه‌های دنیای واقعی، یک الگوریتم ژنتیک ارائه می‌گردد. مثال‌های عددنشان می‌دهد که الگوریتم درجستجوی راه‌حل‌های بهینه یا نزدیک به بهینه، به گونه‌ای موفق و کارا عمل می‌کند.


1.     Jain, V., "Hybrid approaches to model supplier related issues in a dynamic supply chain",  Ph.D. Mechanical Engineering Department, Indian Institute of Technology Delhi, India (2006).

2.     Wemmerlöv, U. and Hyer, N.L., "Cellular manufacturing in the us industry: A survey of users", The International Journal of Production Research,  Vol. 27, No. 9, (1989), 1511-1530.

3.     Rao, P.P. and Mohanty, R., "Impact of cellular manufacturing on supply chain management: Exploration of interrelationships between design issues", International Journal of Manufacturing Technology and Management,  Vol. 5, No. 5-6, (2003), 507-520.

4.     Tavakkoli-Moghaddam, R., Makui, A., Khazaei, M. and Ghodratnama, A., "Solving a new bi-objective model for a cell formation problem considering labor allocation by multi-objective particle swarm optimization", International Journal of Engineering-Transactions A: Basics,  Vol. 24, No. 3, (2011), 249-257.

5.     Azadnia, A., "A multi-objective mathematical model for sustainable supplier selection and order lot-sizing under inflation", International Journal of Engineering-Transactions B: Applications,  Vol. 29, No. 8, (2016), 1141-1150.

6.     Schaller, J., "Incorporating cellular manufacturing into supply chain design", International Journal of Production Research,  Vol. 46, No. 17, (2008), 4925-4945.

7.     Saxena, L.K. and Jain, P., "An integrated model of dynamic cellular manufacturing and supply chain system design", The International Journal of Advanced Manufacturing Technology,  Vol. 62, No. 1-4, (2012), 385-404.

8.     Benhalla, S., Gharbi, A. and Olivier, C., "Multi-plant cellular manufacturing design within a supply chain", Journal of Operations and Logistics,  Vol. 4, No. 1, (2011), 1-17.

9.     Graves, S.C. and Willems, S.P., "Optimizing the supply chain configuration for new products", Management Science,  Vol. 51, No. 8, (2005), 1165-1180.

10.   Kazemi, M., Gol, S.S., Tavakkoli-Moghaddam, R., Kia, R. and Khorrami, J., "A mathematical model for assessing the effects of a lot splitting feature on a dynamic cellular manufacturing system", Production Engineering,  Vol. 11, No. 4-5, (2017), 557-573.

11.   Heydari, H., Paydar, M.M. and Mahdavi, I., "An integrated model of cellular manufacturing and supplier selection considering product quality", Journal of Optimization in Industrial Engineering,  Vol. 10, No. 22, (2017), 39-48.

12.   Aalaei, A. and Davoudpour, H., "A robust optimization model for cellular manufacturing system into supply chain management", International Journal of Production Economics,  Vol. 183, (2017), 667-679.

13.   Aalaei, A., Kayvanfar, V. and Davoudpour, H., "Integrating multi-dynamic virtual cellular manufacturing systems into multi-market allocation and production planning", Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture,  (2017), 0954405417731465.

14.   Aalaei, A. and Davoudpour, H., "Designing a mathematical model for integrating dynamic cellular manufacturing into supply chain system", in AIP Conference Proceedings, AIP. Vol. 1499, (2012), 239-246.

15.   Aalaei, A. and Davoudpour, H., "Revised multi-choice goal programming for incorporated dynamic virtual cellular manufacturing into supply chain management: A case study", Engineering Applications of Artificial Intelligence,  Vol. 47, (2016), 3-15.

16.   Soolaki, M. and Arkat, J., "Supply chain design considering cellular structure and alternative processing routings", Journal of Industrial and Systems Engineering,  Vol. 11, No. 1, (2018), 0-0.

17.   Soolaki, M. and Arkat, J., "Incorporating dynamic cellular manufacturing into strategic supply chain design", The International Journal of Advanced Manufacturing Technology,  Vol. 95, No. 5-8, (2018), 2429-2447.


Download PDF 

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