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Published December 29, 2009 | Version 11156
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Line Balancing in the Hard Disk Drive Process Using Simulation Techniques

Description

Simulation model is an easy way to build up models to represent real life scenarios, to identify bottlenecks and to enhance system performance. Using a valid simulation model may give several advantages in creating better manufacturing design in order to improve the system performances. This paper presents result of implementing a simulation model to design hard disk drive manufacturing process by applying line balancing to improve both productivity and quality of hard disk drive process. The line balance efficiency showed 86% decrease in work in process, output was increased by an average of 80%, average time in the system was decreased 86% and waiting time was decreased 90%.

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References

  • Xue, X. 1997. Brief hybrid method for real time simulation, Proc. of the World Congress on System Simulation (WCSS-97). Singapore, September 01-03, 19-21.
  • Law, A.M.; Kelton, W.D. (2000). Simulation Modeling and Analysis, 3rd edition. Singapore: McGraw-Hill.
  • Novitsky, M.P. (1983). Process industries - where are you?, Production and Inventory Management Journal, 24, 1, 118-121.
  • Katayama, H. (1996). On a two-stage hierarchical production planning system for process industries, International Journal of Production Economics , 44, 1-2, 63-72.
  • White, C.H. and Tsai, B.W. (1999). Integrated Manufacturing Logistics: byproducts can be critical, Proceedings of the 1999 Winter Simulation Conference, SCS, 1310-1315.
  • Vaidyanathan, B.S., Miller, D.M., Park, Y.H. (1998). Application of discrete event simulation in production scheduling, Proceedings of the 1998 Winter Simulation Conference, SCS, 965-971.
  • Saraph, P.V. (2001). Biotech Industry: Simulation and beyond, Proceedings of the 2001 Winter Simulation Conference, SCS, 838-843.
  • B. Rekiek, A. Dolgui, A. Delchambre and A. Bratcu, "State of art of optimization methods for assembly line design", Annual Reviews in Control, vol. 26, pp. 163-174, 2006.
  • C. Becker and A. Scholl, "A survey on problems and methods in generalized assembly line balancing", European Journal of Operational Research, vol. 168, pp. 694-715,2006. [10] A. Scholl and C. Becker, "State-of-the-art exact and heuristic solution procedures for simple assembly line balancing", European Journal of Operational Research,