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Dynamic programming approach for analyzing delayed product differentiation

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Abstract

Cutting down lead-time and expanding product variety are two essential means to improving customer service. To recognize the specific requirements of markets, many computer companies are adopting a build-to-order (BTO) policy. Under this policy, original equipment manufacturing (OEM) companies that are component suppliers for these computer companies are compelled to offer their components near the end-users within shortened lead-times. This forces the OEM companies to develop their branches and warehouses that can implement some assembly operations for the products that have been semifinished at the central company. The main problem faced by these OEM companies is determining the differentiation point of the production processes where the products are diversified at the central company. In this paper, a dynamic approach is proposed to construct an analysis framework for this problem. This approach can deal with situations that do not differentiate all products at the same time. This is especially relevant when the investment cost or processing cost for process normalization and modularization of process redesigning is dependent on products in common parts or sets or on their differentiation sequence. This approach is different from the results claimed in previous research. An example of a real case is then applied to illustrate the applicability of the model.

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References

  1. Eppen GD, Schrage L (1981) Centralized ordering policies in a multi-warehouse system with lead times and random demand in multi level production/inventory systems. In: Schwarz LB (ed) Theory and practice. North Holland, Amsterdam

  2. Schwarz LB (1989) Models for assessing the value of warehouse risk-pooling: risk-pooling over outside-supplier leadtimes. Manage Sci 35:828–842

    Google Scholar 

  3. Maloni MJ, Benton WC (1997) Supply chain partnerships: opportunities for operations research. Eur J Oper Res 101:419–429

    Article  MATH  Google Scholar 

  4. Chandra P, Fisher ML (1994) Coordination of production and distribution planning. Eur J Oper Res 72:503–517

    Article  MATH  Google Scholar 

  5. Glover G, Jones G, Karney D, Klingman D, Mote J (1979) An integrated production, distribution and inventory planning system. Interfaces 9(5):21–35

    MathSciNet  Google Scholar 

  6. Cohen MA, Lee HL (1988) Strategic analysis of integrated production-distribution systems: models and methods. Oper Res 36:216–228

    Article  Google Scholar 

  7. Bowersox DJ, Closs DJ (1996) Logistical Management, Chapter 16. McGraw-Hill, p 491

  8. Ulrich KT (1991) Modularity, variety, and standardization in product design. Paper presented at Production and Operations Summer Camp, Massachusetts Institute of Technology, Cambridge, MA

  9. Lee HL (1996) Effective management of inventory and service through product and process redesign. Oper Res 44:151–159

    MATH  Google Scholar 

  10. Lee HL, Tang CS (1997) Modelling the costs and benefits of delayed product differentiation. Manage Sci 43(1):40–53

    MATH  Google Scholar 

  11. Rothblum UG (1983) A dynamic programming formulation of a production sequencing problem. Comput Ind Eng 7:69–75

    Article  Google Scholar 

  12. Sonmez AI, Baykasoglu A (1998) A new dynamic programming formulation of (n*m) flowshop sequencing problems with due dates. Int J Prod Res 36(6):2269–2283

    Article  MATH  Google Scholar 

  13. Commonwealth (2003) Top 1000 manufacturing firms. Commonwealth June:45–98, Taiwan R.O.C.

    Google Scholar 

Download references

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Correspondence to Hong Tau Lee.

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Chen, S., Kang, H. & Lee, H. Dynamic programming approach for analyzing delayed product differentiation. Int J Adv Manuf Technol 28, 445–449 (2006). https://doi.org/10.1007/s00170-004-2401-3

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  • DOI: https://doi.org/10.1007/s00170-004-2401-3

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