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JIT Mixed-Model Sequencing Rules: Is There a Best One?

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=52930#.VKyjFcnQrzE

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ABSTRACT
This research effort compares four sequencing rules intended to smooth production scheduling for mixed-model production systems in a Just-in-Time/Lean manufacturing environment (“JIT” hereafter). Each rule intends to schedule mixed-model production in such a way that manufacturing flexibility is optimized in terms of system utilization, units completed, average in-process inventory, average queue length, and average waiting time. A simulation experiment, where the various sequencing rules are tested against each other in terms of the above production measures, shows that three of the sequencing rules essentially offer the same performance, whereas one of them shows more variation.
 
Cite this paper
McMullen, P. (2015) JIT Mixed-Model Sequencing Rules: Is There a Best One?. American Journal of Operations Research, 5, 5-29. doi: 10.4236/ajor.2015.51002.
 
References
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[3]Kanet, J.J. (1981) Minimizing the Average Deviation of Job Completion Times About a Common Due Date. Naval Research Logistics Quarterly, 28, 643-651.
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[5]Salhi, S. and Garcia-Villoria, A. (2012) An Adaptive Search for the Response Time Variability Problem. Journal of the Operational Research Society, 63, 597-605.
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[6]Hermann, J.W. (2007) Generating Cyclic Fair Sequences Using Aggregation and Stride. The Institute for Systems Research, ISR Technical Report 2007-12.
 
[7]Miltenburg, J. (1989) Level Schedules for Mixed-Model Assembly Lines in Just-in-Time Production Systems. Management Science, 35, 192-207.
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[8]Kelton, D.W., Sadowski, R.P. and Sturrock, D.T. (2004) Simulation with Arena. 3rd Edition, McGraw-Hill Higher Education, Boston.                                                                                                       eww150107lx
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