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A Decision of the Production Control Policy using Simulation in Zinc Manufacturing Process  

Kim, Jun-Mo (Institute of e-Vehicle Technology, University of Ulsan)
Kim, Yearn-Min (Department of Industrial Engineering, University of Ulsan)
Publication Information
IE interfaces / v.21, no.4, 2008 , pp. 418-434 More about this Journal
Abstract
This paper studied issues in decision making on the production control policy of a cathode plate manufacturing process in zinc refining plant. The present production system has a long lead time from raw materials (aluminum plate) to products (cathode plate) due to many WIP inventories. Because WIP inventories are stocked at each process and moved from one place to another frequently, they are the main cause of inefficiency in the process. In this paper, to solve this problem, several production control policies have been identified and studied. Several simulation models are used to compare the performances of these production control policies. The output lead time and WIP (Work In Process) of real production system are compared with those of simulation models. PUSH, CONWIP, DBR, KANBAN and CONWIP-DBR models have been used to simulate and review the optimized production control policy that achieves the target output quantities with decreased lead time and WIP. The simulation results of each production control policy show that CONWIP and CONWIP-DBR models are the good production control policy under the present production system. Especially in present production system, CONWIP with one parameter is easier control policy than CONWIP-DBR with two parameters. Therefore CONWIP has been selected as the best optimum production control policy. With CONWIP, lead time has been reduced by 97% (from 6,653 to 187 minute) and WIP has been reduced from 1,488 to 53, compared to the present system.
Keywords
production control policy; CONWIP; KANBAN; DBR; simulation;
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  • Reference
1 MOKSHAGUNDAML.SRIKANTH, PHD (2005), Synchronous Management, Dongyangbooks
2 Gilland, Wendell G. (2002), A simulation study comparing performance of CONWIP and Bottleneck-based release rules, Production planning and control, 13
3 Karin, Boonlertvanich (2005), Extended CONWIP-KANBAN System : control and performance Analysis, Georgia Institute of technology
4 Kelton, Sadowski, Sturrock (2007), Simulation with ARENA, McGrawHill, 4th Ed
5 Hopp, Wallace J. and Mark L. Spearman (2005), Factory Physics, Hankyungsa
6 Qi, Chao and Appa, Iyer Sivakumar (2004), Simulation based cause and effect analysis in semiconductor wafer, Fabrication, Journal of The Institution of Engineers, 44(4)
7 Black, J. T. Black and Steve L. Hunter (2003), Lean Manufacturing Systems and Cell Design
8 Marek, Richard P., Elkins, Debra A., and Smith, Donald R. (2001), Understanding the fundamentals of KANBAN and CONWIP PULL systems using simulation, Department of Industrial Engineering, Texas A&M University, Proceeding of the 2001 winter simulation conference
9 Kelton, Sadowski, Sturrock (2007), Simulation with ARENA, McGrawHill, 4th Ed
10 John, Geraghty and Cathal, Heavey (2004), A comparison of Hybrid PUSH/PULL and CONWIP/PULL Production inventory control policies, production economics 91
11 Massino, Bertolini, Maurizio, Bevilacqua, and Andrea Grassi (2005), Advanced Manufacturing Control Systems : A simulation comparative Analysis, sixteen annual conference of POHS