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Production control policies for a multistage serial system under MTO-MTS production environment

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Abstract

A manufacturing system composed by several stages in serial system is considered. Each stage can produce several types of products from a semi-finished product. At each stage, a production control strategy is performed to release MTO and MTS orders. The MTS orders try to reduce the lead times and increase the service level for the customers. This research proposes MTS control policies observing the customer demand with higher service level reducing the stock level of the buffers at each stage. A simulation environment based on multi-domain methodology has been developed to test the proposed approach compared to policies proposed in literature. The numerical results are obtained for different levels of customer demand, fluctuations of the product type requested, and the reliability of the production system. The main results show how the proposed approach leads to better results both for service level and reduce the MTS level in all conditions tested.

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References

  1. 1.

    Almehdawe E, Jewkes E (2013) Performance analysis and optimization of hybrid manufacturing systems under a batch ordering policy. Int J Prod Econ 144(1):200–208

  2. 2.

    Carr S, Duenyas I (2000) Optimal admission control and sequencing in a make-to-stock make-to-order production system. Oper Res 48(5):709–720

  3. 3.

    Chen X, Tai AH, Yang Y (2014) Optimal production and pricing policies in a combined make-toorder/ make-to-stock system. Int J Prod Res. doi:10.1080/00207543.2014.932930

  4. 4.

    Denton B, Gupta D, Jawahir K (2003) Managing increasing product variety at integrated steel mills. Interfaces 33:41–53

  5. 5.

    Ghrayeb O, Phojan N, Tan BA (2009) A hybrid push/pull system in assemble-to-order manufacturing environment. J Intell Manuf 20:379–387

  6. 6.

    Gupta D, Weerawat W (2006) Supplier–manufacturer coordination in capacitated two-stage supply chains. Eur J Oper Res 175:67–89

  7. 7.

    Hemmati S, Rabbani M (2010) Make-to-order/make-to-stock partitioning decision using the analytic network process. Int J Adv Manuf Technol 48(5–8):801–813

  8. 8.

    Kalantari M, Rabbani M, Ebadian M (2011) A decision support system for order acceptance/rejection in hybrid MTS/ MTO production systems. Appl Math Model 35(3):1363–1377

  9. 9.

    Köber J, Heinecke G (2012) Hybrid production strategy between make-to-order and make-to- stock – a case study at a manufacturer of agricultural machinery with volatile and seasonal demand. Proc CIRP 3:453–458

  10. 10.

    Lu JC, Yang T, Su C-T (2012) Analysing optimum push/pull junction point location using multiple criteria decision-making for multistage stochastic production system. Int J Prod Res 50(19):5523–5537

  11. 11.

    Morikawa K, Takahashi K, Hirotani D (2014) Make-to-stock policies for a multi stage serial system under a make-to-order production environment. Int J Prod Econ 147:30–37

  12. 12.

    Perona M, Saccani N, Zanoni S (2009) Combining make-to-order and make-to-stock inventory policies: an empirical application to a manufacturing SME. Prod Plan Control 20(7):559–575

  13. 13.

    Rafiei H, Rabbani M (2012) Capacity coordination in hybrid MTS/MTO production environment. Int J Prod Res 50(3):773–789

  14. 14.

    Serwer A (2002) Dell does domination. Fortune Mag 145(2):70–75

  15. 15.

    Sharda B, Akiya N (2012) Selecting make-to-stock and postponement policies for different products in a chemical plant: a case study using discrete event simulation. Int J Prod Econ 136(1):161–171

  16. 16.

    Soman CA, van Donk DP, Gaalman G (2004) Combined make-to-order and make-to-stock in a food production system. Int J Prod Econ 90:223–235

  17. 17.

    Soman CA, van Donk DP, Gaalman G (2006) Comparison of dynamic scheduling policies for hybrid make-to-order and make-to-stock production systems with stochastic demand. Int J Prod Econ 104(2):441–453

  18. 18.

    Sox CR, Thomas LJ, McClain JO (1997) Coordinating production and inventory to improve service. Manag Sci 43(9):1189–1197

  19. 19.

    Zaerpour N, Rabbani M, Gharegozli AH, Tavakkoli-Moghaddam R (2009) A comprehensive decision making structure for partitioning of make-to-order, make-to-stock and hybrid products. Soft Comput 13(11):1035–1054

  20. 20.

    Zhang ZG, Kim I, Springer M, Cai G, Yu Y (2013) Dynamic pooling of make-to-stock and make-to-order operations. Int J Prod Econ 144:44–56

  21. 21.

    Williams TM (1984) Special products and uncertainty in production/inventory systems. Eur J Oper Res 15(1):46–54

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Correspondence to Paolo Renna.

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Renna, P. Production control policies for a multistage serial system under MTO-MTS production environment. Int J Adv Manuf Technol 83, 449–459 (2016). https://doi.org/10.1007/s00170-015-7587-z

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Keywords

  • Production control
  • Make to order
  • Make to stock
  • Multi domain simulation