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Order Partitioning in Hybrid MTS/MTO Contexts using Fuzzy ANP

Authors: H. Rafiei, M. Rabbani


A novel concept to balance and tradeoff between make-to-stock and make-to-order has been hybrid MTS/MTO production context. One of the most important decisions involved in the hybrid MTS/MTO environment is determining whether a product is manufactured to stock, to order, or hybrid MTS/MTO strategy. In this paper, a model based on analytic network process is developed to tackle the addressed decision. Since the regarded decision deals with the uncertainty and ambiguity of data as well as experts- and managers- linguistic judgments, the proposed model is equipped with fuzzy sets theory. An important attribute of the model is its generality due to diverse decision factors which are elicited from the literature and developed by the authors. Finally, the model is validated by applying to a real case study to reveal how the proposed model can actually be implemented.

Keywords: Production Planning, fuzzy analytic network process, Hybrid make-tostock/ make-to-order, Order partitioning

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[1] A. C. Hax, and H. C. Meal, "Hierarchical integration of production planning and scheduling," MIT working paper, 1973.
[2] Y. Mu, Design of hybrid Make-to-Stock (MTS) - Make-to-Order (MTO) manufacturing system. M.Sc. Thesis, The University of Minnesota, 2001.
[3] C. A. Soman, D. P. van Donk, and G. Gaalman, "Combined make-toorder and make-to-stock in food production system," Int. J. Prod. Econ., Vol. 90, no. 2, pp. 223-235, 2004.
[4] S. Ray, Y. Gerchak, and E. M. Jewkes, "Joint pricing and inventory policies for make-to-stock products with deterministic price-sensitive demand," Int. J. Prod. Econ., vol. 97, pp. 143-158, 2005.
[5] Z. Jemaï, and F. Karaesman, "The influence of demand variability on the performance of a make-to-stock queue," Eur. J. Oper. Res., vol. 164, pp. 195-205, 2005.
[6] R. Tavakkoli-Moghaddam, M. Rabbani, A. H. Gharegozli, and N. Zaerour, "A fuzzy aggregate production planning model for make-tostock environment," In: Proc. 2007 IEEE IEEM, pp. 1609-1613, 2007.
[7] J. Olhager, "Strategic positioning of order penetration point," Int. J. Prod. Econ., Vol. 85, pp. 319-329, 2003.
[8] S.-D. Lee, and S.-H. Ho, "Buffer sizing in manufacturing production systems with complex routings," Int. J. Compt. Integr. Manuf., vol. 15, no. 5, pp. 440-452, 2002.
[9] Q.-M. He, E. M. Jewkes, and J. Buzacott, "Optimal and near-optimal inventory control policies for a make-to-order inventory-production system," Eur. J. Oper. Res., vol. 141, pp. 113-132, 2002.
[10] C. Thierry, J. Lamothes, and V. Galvagnon, "Re-planning support system for make-to-order production with reserved resources," Int. J. Prod. Res., vol. 42, no. 23, pp. 4993-5008, 2004.
[11] S. A. Slotnick, and M. J. Sobel, "Manufacturing lead-time rules: Customer retention versus tardiness costs," Eur. J. Oper. Res., Article in press, 2004.
[12] A. Cakravastia, and K. Takahashi, "Integrated model for supplier selection and negotiation in a make-to-oeder environment," Int. J. Prod. Res., vol. 42, no. 21, pp. 4457-4474, 2004.
[13] D. P. van Donk, "Make to stock or make to order: the decoupling point in the food processing industries," Int. J. Prod. Econ., vol. 96, no. 3, pp. 297-306, 2001.
[14] N. Zaerpour, M. Rabbani, A. H. Gharegozli, and R. Tavakkoli-Moghaddam, "A comprehensive decision making structure for partitioning of make-to-order, make-to-stock and hybrid products," Soft. Comput., 2008, DOI 10.1007/s00500-008-0377-x
[15] N. Zaerpour, M. Rabbani, A. H. Gharehgozli, and R. Tavakkoli- Moghaddam, "Make to order or make to stock decision by a novel hybrid approach," Adv. Eng. Inform., vol. 22, no. 2, pp. 186-201, 2008.
[16] L. A. Zadeh, "Fuzzy sets," Inf. Control., Vol. 8, pp. 338-353, 1965.
[17] T. L. Saaty, Decision making with dependence and feedbacks: The analytic network process, RWS Publications, 1996.
[18] T. L. Saaty, The Analytic Hierarchical Process, McGraw-Hill, New York, 1980.
[19] D. Y. Chang, "Applications of the extent analysis method on fuzzy AHP," Eur. J. Oper. Res., vol. 95, pp. 649-655, 1996.
[20] Y.-J. Lai, and C. L. Hwang, Fuzzy Mathematical Programming: Methods and Applications, Springer-Verlag, New York, 1995.
[21] Mikhailov, L., Singh, M.G.: Comparison analysis of methods for driving priorities in the analytic hierarchy process. IEEE Trans. Syst. Man. Cybern. IEEE SMC- 99, vol. 1, pp. 1037-1042, 1999.