A Simulation-Optimization Model For Capacity Coordination In Make To Stock/Make To Order Production Environments

Document Type: Research Paper

Authors

1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 Department of Industrial Engineering, Khatam University, Tehran, Iran

Abstract

Capacity coordination, as the tactical level of hierarchical production planning in hybrid MTS/MTO systems, includes numerous important decisions. In this paper, two of these decisions i.e. finding the best strategy for the acceptance/rejection of incoming orders and determining orders’ due dates – are investigated. Also a simulation model is proposed to evaluate the efficiency of the presented mixed integer model. Finally, an industrial case study is considered in a food processing plant to evaluate the proposed framework and conduct suitable sensitivity analysis.

Keywords

Main Subjects


Article Title [Persian]

مدل شبیه سازی – بهینه سازی برای توازن ظرفیت در محیط های تولیدی ساخت بر مبنای انبارش/ ساخت بر مبنای سفارش

Authors [Persian]

  • هلیا یوسف نژاد 1
  • مسعود ربانی 1
  • ندا معنوی زاده 2
1 گروه مهندسی صنایع، دانشکده مهندسی، دانشگاه تهران، تهران، ایران
2 گروه مهندسی صنایع، دانشگاه خاتم، تهران، ایران
Abstract [Persian]

توازن ظرفیت ، به عنوان سطح میانی برنامه ریزی تولید سلسله مراتبی در سیستم های تولید ترکیبی MTS/MTO، تصمیمات مهم متعددی را شامل می شود. در این مقاله، دو مورد از این تصمیمات شامل یافتن بهترین استراتژی برای رد یا قبول سفارشات ورودی و تعیین موعد تحویل سفارشات، مورد بررسی قرار می گیرد. همچنین یک مدل شبیه سازی با هدف ارزیابی کارایی مدل عدد صحیح مختلط ارائه شده، تبیین می گردد. در نهایت، یک مطالعه موردی صنعتی در یک کارخانه فرآوری مواد غذایی مورد بررسی قرار می گیرد تا چارچوب ارائه شده مورد ارزیابی قرار گرفته و تحلیل حساسیت های مورد نیاز انجام گیرد.

Keywords [Persian]

  • برنامه ریزی تولید
  • ساخت بر مبنای انبارش
  • ساخت بر مبنای سفارش
  • پذیرش سفارشات
  • شبیه سازی بهینه سازی
Adan, I. J., & Van der Wal, J. (1998). Combining make to order and make to stock. Operations-Research-Spektrum, 20(2), 73-81.

Carr, S., Gullu, R., Jackson, P., & Muckstadt, J. (1993). An exact analysis of a production-inventory strategy for industrial suppliers. Working Paper, School of Operations Research and Industrial Engineering, Cornell University, Ithaca, NY.

Chang, S. H., Pai, P. F., Yuan, K. J., Wang, B. C., & Li, R. K. (2003). Heuristic PAC model for hybrid MTO and MTS production environment. International Journal of Production Economics, 85(3), 347-358.

Dellaert, N. P., & Melo, M. T. (1996). Production strategies for a stochastic lot-sizing problem with constant capacity. European Journal of Operational Research, 92(2), 281-301.

Easton, F. F., & Moodie, D. R. (1999). Pricing and lead time decisions for make-to-order firms with contingent orders. European Journal of operational research, 116(2), 305-318.

Ebadian, M., Rabbani, M., Torabi, S. A., & Jolai, F. (2009). Hierarchical production planning and scheduling in make-to-order environments: reaching short and reliable delivery dates. International Journal of Production Research, 47(20), 5761-5789.

Ghalehkhondabi, I., Ardjmand, E., & Weckman, G. (2017). Integrated decision making model for pricing and locating the customer order decoupling point of a newsvendor supply chain. Opsearch, 54(2), 417-439.

Ghalehkhondabi, I., & Suer, G. (2018). Production line performance analysis within a MTS/MTO manufacturing framework: a queuing theory approach. Production, 28 (0). http://dx.doi.org/10.1590/0103-6513.20180024

Gharehgozli, A. H., Rabbani, M., Zaerpour, N., & Razmi, J. (2008). A comprehensive decision-making structure for acceptance/rejection of incoming orders in make-to-order environments. The International Journal of Advanced Manufacturing Technology, 39(9-10), 1016-1032.

Halawa, F., Lee, I. G., Shen, W., Khan, M. E., & Nagarur, N. (2017). The Implementation of Hybrid MTSMTO as a Promoter to Lean-Agile: A Simulation Case Study for Miba Sinter Slovakia. In IIE Annual Conference. Proceedings (pp. 1006-1011). Institute of Industrial and Systems Engineers (IISE).

Hax, A. C., & Meal, H. C. (1973). Hierarchical integration of production planning and scheduling, In: Geisler, M.A. (Ed.), Studies in Management Science, vol. I, Logistics, Amsterdam, pp. 53–69.

Hemmati, S., & Rabbani, M. (2010). Make-to-order/make-to-stock partitioning decision using the analytic network process. The International Journal of Advanced Manufacturing Technology, 48(5-8), 801-813.

Hendry, L. C., & Kingsman, B. G. (1989). Production planning systems and their applicability to make-to-order companies. European Journal of Operational Research, 40(1), 1-15.

Holweg, M., & Pil, F. K. (2001). Successful build-to-order strategies start with the customer. MIT Sloan Management Review, 43(1), 74-74.

Kalantari, M., Rabbani, M., & Ebadian, M. (2011). A decision support system for order acceptance/rejection in hybrid MTS/MTO production systems. Applied Mathematical Modelling, 35(3), 1363-1377.

Kingsman, B., & Hendry, L. (2002). The relative contributions of input and output controls on the performance of a workload control system in make-to-order companies. Production Planning & Control, 13(7), 579-590.

Makui, A., Heydari, M., Aazami, A., & Dehghani, E. (2016). Accelerating Benders decomposition approach for robust aggregate production planning of products with a very limited expiration date. Computers & Industrial Engineering, 100, 34-51.

Manavizadeh, N., Goodarzi, A. H., Rabbani, M., & Jolai, F. (2013). Order acceptance/rejection policies in determining the sequence in mixed model assembly lines. Applied Mathematical Modelling, 37(4), 2531-2551.

Mu, Y. (2001). Design of hybrid Make-to-Stock (MTS)-Make-to-Order (MTO) manufacturing system (Doctoral dissertation, M. Sc. Thesis, The University of Minnesota).

Olhager, J. (2003). Strategic positioning of the order penetration point. International Journal of Production Economics, 85(3), 319-329.

Rabbani, M., Yousefnejad, H., & Rafiei, H. (2014). Presenting a new approach toward locating optimal decoupling point in supply chains. International Journal of Research in Industrial Engineering, 3(1), 49.

Rabbani, M., Haghighi, S. M., Farrokhi-Asl, H., & Manavizadeh, N. (2017). Capacity coordination in hybrid make-to-stock/make-to-order contexts using an enhanced multi-stage model. Brazilian Journal of Operations & Production Management, 14(3), 396-413.

Rafiei, H., & Rabbani, M. (2011). Order partitioning and order penetration point location in hybrid make-to-stock/make-to-order production contexts. Computers & Industrial Engineering, 61(3), 550-560.

Rafiei, H., & Rabbani, M. (2012). Capacity coordination in hybrid make-to-stock/make-to-order production environments. International Journal of Production Research, 50(3), 773-789.

Soman, C. A., Van Donk, D. P., & Gaalman, G. (2004). Combined make-to-order and make-to-stock in a food production system. International Journal of Production Economics, 90(2), 223-235.

Soman, C. A., van Donk, D. P., & Gaalman, G. (2006). Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand. International Journal of Production Economics, 104(2), 441-453.

Van Dam, P., Gaalman, G. J., & Sierksma, G. (1998). Designing scheduling systems for packaging in process industries: A tobacco company case. International journal of production economics, 56, 649-659.

Van Donk, D. P. (2001). Make to stock or make to order: The decoupling point in the food processing industries. International Journal of Production Economics, 69(3), 297-306.

Williams, T. M. (1984). Special products and uncertainty in production/inventory systems. European Journal of Operational Research, 15(1), 46-54.

Zaerpour, N., Rabbani, M., Gharehgozli, A. H., & Tavakkoli-Moghaddam, R. (2008). Make-to-order or make-to-stock decision by a novel hybrid approach, Advanced Engineering Informatics, 22(2), 186-201.

Zaerpour, N., Rabbani, M., Gharehgozli, A. H., & Tavakkoli-Moghaddam, R. (2009). A comprehensive decision making structure for partitioning of make-to-order, make-to-stock and hybrid products. Soft Computing, 13(11), 1035-1054.