Management of product variety in cellular manufacturing systems

Springer Science and Business Media LLC - Tập 17 - Trang 93-117 - 2005
M. Selim Akturk1, H. Muge Yayla1
1Dept. of Industrial Engineering, Bilkent University, Bilkent, Ankara, Turkey

Tóm tắt

In today’s markets, non-uniform, customized products complicate the manufacturing processes significantly. In this paper, we propose a cellular manufacturing system design model to manage product variety by integrating with the technology selection decision. The proposed model determines the product families and machine groups while deciding the technology of each cell individually. Hedging against changing market dynamics leads us to the use of flexible machining systems and dedicated manufacturing systems at the same facility. In order to integrate the market characteristics in our model, we proposed a new cost function. Further, we modified a well known similarity measure in order to handle the operational capability of the available technology. In the paper, our hybrid technology approach is presented via a multi-objective mathematical model. A filtered-beam based local search heuristic is proposed to solve the problem efficiently. We compare the proposed approach with a dedicated technology model and showed that the improvement with the proposed hybrid technology approach is greater than 100% in unstable markets requiring high product varieties, regardless of the volumes of the products.

Tài liệu tham khảo

Abdi MR, Labib AW (2004) Grouping and selecting products: The design key of reconfigurable manufacturing systems. International Journal of Production Research 42(3):521–546 Akturk MS, Balkose O (1996) Part-machine grouping using a multi-objective cluster analysis. International Journal of Production Research 34(8):2299–2315 Bokhorst JAC, Slomp J, Suresh NC (2002) An integrated model for part-operation allocation and investments in CNC technology. International Journal of Production Economics 75(3):267–285 Chandrasekaran MP, Rajagopalan R (1989) Groupability: An analysis of the properties of binary data matrices for group technology. International Journal of Production Research 27(6):1035–1052 Garbie IH, Parsaei HR, Leep HR (2005) Introducing new parts into existing cellular manufacturing systems based on a novel similarity coefficient. International Journal of Production Research 43(5):1007–1037 Gupta YP, Goyal S (1989) Flexibility of manufacturing systems: Concepts and measurements. European Journal of Operational Research 43:119–135 Kaufmann L, Rousseeuw P (1990) Finding groups in data: An introduction to cluster analysis. John Wiley & Sons, Inc., New York, NY Li L, Tirupati D (1994) Dynamic capacity expansion problem with multiple products: Technology selection and timing of capacity additions. Operations Research 42(5):958–976 Rajagopalan S (1993) Flexible versus dedicated technology: A capacity expansion model. The International Journal of Flexible Manufacturing Systems 5:129–142 Ramdas K (2003) Managing Product Variety: An integrative review and research directions. Production and Operations Management 12(1):79–101 Selim HM, Askin RG, Vakharia AJ (1998) Cell formation in group technology: Review, evaluation and directions for future research. Computers and Industrial Engineering 34(1):3–20 Singhal K, Fine CH, Meredith JR, Suri R (1987) Research and models for automated manufacturing. Interfaces 17(6):5–14 Suresh NC, Slomp J (2001) A multi-objective procedure for labor assignments and grouping in capacitated cell formation problems. International Journal of Production Research 39(18):4103–4131 Venkatesan R (1990) Cummins Engine Flexes Its Factory. Harvard Business Review 68(2):120–127 Verter V, Dasci A (2002) The plant location and flexible technology acquisition problem. European Journal of Operational Research 136:366–382 Wicks EM, Reasor RJ (1999) Designing cellular manufacturing systems with dynamic part populations. IIE Transactions 31(1):11–20