The selection of part types for simultaneous processing in a Flexible Manufacturing System (FMS) is one of the most responsible phases of the short‐time production planning. The batching approach to part type selection is more popular in practice but this leads to the requirement for a preliminary evaluation of the results obtained. Using simulation is a convenient, no‐risk and cheapest way to do this, which is shown and discussed in the paper. The objective of batching approach is to maximize the number of part types in a batch taking into account constraints on tool magazine capacity and tool type availability. Two alternative ways of assigning weights in the objective function of the part type selection model are explored to direct the search to a different set of part types. A procedure to determine the mix ratios of the selected part types is used so as to balance the aggregate machine workloads. The model aggregations have been accounted for in a simulation experiment conducted to evaluate the performance of the batching approach and to investigate the sensitivity of total makespan and machine utilizations.
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1 February 1998
This article was originally published in
Integrated Manufacturing Systems
Research Article|
February 01 1998
Using simulation to evaluate the batching approach to part type selection in flexible manufacturing systems Available to Purchase
Mario T. Tabucanon;
Mario T. Tabucanon
Asian Institute of Technology, Bangkok, Thailand
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Dentcho N. Batanov;
Dentcho N. Batanov
Asian Institute of Technology, Bangkok, Thailand
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Sanjay Basu
Sanjay Basu
Asian Institute of Technology, Bangkok, Thailand
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Publisher: Emerald Publishing
Online ISSN: 1758-583X
Print ISSN: 0957-6061
© MCB UP Limited
1998
Integrated Manufacturing Systems (1998) 9 (1): 5–14.
Citation
Tabucanon MT, Batanov DN, Basu S (1998), "Using simulation to evaluate the batching approach to part type selection in flexible manufacturing systems". Integrated Manufacturing Systems, Vol. 9 No. 1 pp. 5–14, doi: https://doi.org/10.1108/09576069810196797
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