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An integration of assembly planning by design into supply chain planning

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Abstract

A supply chain needs to consider the quality of a product as well as the quality of manufacturing process to satisfy customer requirements at efficient resources planning in terms of safety stock allocation and vendor–buyer coordination. The objective of this article is to use an axiomatic approach to make assembly planning by designing and integrating assembly into supply chain planning, particularly during supply chain reconfiguration. The effect of fixture layout planning, the accuracy of demand forecast, and the supplier capability of providing the required material quality are studied. An optimum supply chain network is configured by combining the product, assembly, and supply chain planning. Heuristic-based optimization is used to validate the proposed solution. The performance of the system is measured in terms of lead time variability, the number of backorders, and the level of safety stock. The results and analysis indicate that the axiomatic approach is capable of reducing the assembly variation and employing necessary fixture layout planning to deliver product intents. In addition, the reduction of assembly variation also reduces the safety stock, lead time variability, and backorders. Finally, management decision making is discussed among other concluding remarks.

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References

  1. Boothroyd G (1987) Design for assembly—the key to design for manufacture. Int J Adv Manuf Technol 2(3):3–11

    Article  Google Scholar 

  2. Chiu SW (2010) Robust planning in optimization for production system subject to random machine breakdown and failure in rework. Comput Oper Res 37(1):899–908

    Article  MathSciNet  MATH  Google Scholar 

  3. Tseng YJ, Huang FY (2009) A multi-plant tolerance allocation model for products manufactured in a multi-plant collaborative manufacturing environment. Int J Prod Res 47(3):733–749

    Article  MathSciNet  Google Scholar 

  4. Sanderson AC, Homem de Mello LS, Zhang H (1990) Assembly sequence planning. AI Mag 11(1):62–81

    Google Scholar 

  5. Lee HL, Billington C (1992) Managing supply chain inventories: pitfalls and opportunities. Sloan Manag Rev 33(3):65–73

    Google Scholar 

  6. der Vorst V, Tromp S, Van der See DJ (2009) Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics. Int J Prod Res 47(23):6611–6631

    Article  MATH  Google Scholar 

  7. Hayek PA, Salameh MK (2001) Production lot sizing with the reworking of imperfect quality item produced. Prod Plan Control 12(6):584–590

    Article  Google Scholar 

  8. Tse YK, Tan KH (2011) Managing product quality risk in a multi-tier global supply chain. Int J Prod Res 49(1):139–158

    Article  Google Scholar 

  9. Kumar S, Schmitz S (2011) Managing recalls in a consumer product supply chain—root cause analysis and measures to mitigate risks. Int J Prod Res 49(1):235–253

    Article  Google Scholar 

  10. Chopra S, Reinhardt G, Dada M (2004) The effect of mead time uncertainty on safety stocks. Decis Sci 35(1):1–24

    Article  Google Scholar 

  11. Novak S, Eppinger SD (2001) Sourcing by design: product complexity and the supply chain. Manag Sci 47(1):189–204

    Article  Google Scholar 

  12. Whitney DE, Dong Q, Judson J, Mascoli G (1999) Introducing knowledge-based engineering into an interconnected product development process. In: Proceedings of the 1999 ASME Design Engineering Technical Conference, Las Vegas, Nevada, 1–10 September (White Paper, 27 Jan)

  13. Li X, Gao X, Shao X, Zhang C, Wang C (2010) Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling. Comput Oper Res 37(1):656–667

    Article  MATH  Google Scholar 

  14. Huang W, Lin J, Besdecny M, Kong Z, Ceglarek D (2007) Stream-of-variation modeling—part I: a generic three-dimensional variation model for rigid-body assembly in single station assembly processes. Manuf Sci Eng 129:821–831. doi:10.1016/S0737-6782%2801%2900132-1

    Article  Google Scholar 

  15. Kristianto Y, Helo P (2010) Designing supply chain by coordinating manufacturing process and product development process. Int J Ind Syst Eng 6(3):360–380

    Google Scholar 

  16. Lee DJ, Thornton AC (1996) The identification and use of key characteristics in the product development process. In: Proceedings of the 1996 ASME Design Engineering Technical Conferences and Computers in Engineering Conference, Irvine, California, 18–22 August, pp. 1–14

  17. Phoomboplab T, Ceglarek D (2008) Process yield improvement through optimum design of fixture layouts in 3D mutistation assembly systems. ASME Trans: J Manuf Sci Eng 130:1–15

    Google Scholar 

  18. Mounaud M, Thiébaut F, Bourdet P, Falgarone H, Chevassus N (2010) Assembly sequence influence on geometric deviations propagation of compliant parts. Int J Prod Res 49:1021–1043

    Article  Google Scholar 

  19. Wang H, Ceglarek D (2005) Quality-driven sequence planning and line configuration selection for compliant structure assemblies. Ann ClRP 54(1):31–35

    Article  Google Scholar 

  20. Lai XM, Xing YF, Sun J, Chen GL (2009) Optimisation of assembly sequences for compliant body assemblies. Int J Prod Res 47(21):6129–6143

    Article  Google Scholar 

  21. Asada H, By AB (1985) Kinematic analysis of workpart fixturing for flexible assembly with automatically reconfigurable fixtures. IEEE Trans Robot Autom 2:86–94

    Article  Google Scholar 

  22. Choubey AM, Prakash M, Chan FTS, Tiwari MK (2005) Solving a fixture configuration design problem using genetic algorithm. Int J Prod Res 43(22):4721–4743

    Article  Google Scholar 

  23. Bi ZM, Zhang WJ (2001) Flexible fixture design and automation. Int J Prod Res 39(13):2867–2894

    Article  Google Scholar 

  24. Lee B, Saitou K (2005) Integrated synthesis of assembly and fixture scheme for properly constrained assembly. IEEE Trans Autom Sci Eng 2(3):250–261

    Article  Google Scholar 

  25. Zhaoqing T, Xinmin L, Zhongqin L (2009) Robust fixture layout design for multi-station sheet metal assembly processes using genetic algorithm. Int J Prod Res 47(21):6159–6176

    Article  Google Scholar 

  26. Wang MY (2001) An optimum design for 3-D fixture synthesis in a point set domain. IEEE Trans Robot Autom 16(6):839–846

    Article  Google Scholar 

  27. Beamon BM (1998) Supply chain design and analysis: models and methods. Int J Prod Econ 55(3):281–294

    Article  Google Scholar 

  28. Sabri EH, Beamon BM (2000) A multi-objective approach to simultaneous strategic and operational planning in supply chain design. Omega 28(5):581–598

    Article  Google Scholar 

  29. Awad HAH, Nassar MO (2010) Supply chain integration: definition and challenges. In: Proceedings of the International Multi-conference of Engineers and Computer Scientists, IMECS 2010, Hong Kong, , 17–19 March 2010, pp. 405–409

  30. Wolters II JA (2000) Optimizing the assembly sequence of an aerospace manufacturing process. M.Sc. thesis, Massachusetts Institute of Technology

  31. Li Q (2009) Virtual reality for fixture design and assembly. PhD thesis, University of Nottingham

  32. Ding Y, Gupta A, Apley DW (2004) Singularity issues in fixture fault diagnosis for multi-station assembly processes. ASME transactions. J Manuf Sci Eng 126:200–210

    Article  Google Scholar 

  33. Loose JP, Zhou Q, Zhou S, Ceglarek D (2009) Incorporation of GD&T specifications into dimensional variation models for multistage machining processes. Int J Prod Res. doi:10.1080/00207540802691366

    MATH  Google Scholar 

  34. Rouibah K, Caskey KR (2003) Change management in concurrent engineering from a parameter perspective. Comput Ind 50:15–34

    Article  Google Scholar 

  35. Sharman DM, Yassine AA (2007) Architectural valuation using the design structure matrix and Real Options Theory. Concurr Eng Res Appl 5(2):157–173

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Production, University of Vaasa, P.O. Box 700, 65101, Vaasa, Finland

    Yohanes Kristianto & Liandong Zhu

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  1. Yohanes Kristianto
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  2. Liandong Zhu
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Correspondence to Yohanes Kristianto.

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Kristianto, Y., Zhu, L. An integration of assembly planning by design into supply chain planning. Int J Adv Manuf Technol 69, 1593–1604 (2013). https://doi.org/10.1007/s00170-013-5060-4

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  • DOI: https://doi.org/10.1007/s00170-013-5060-4

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