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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Performance evaluation and capacity planning in a metallurgical job-shop system using open queueing network models

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Author(s):
Negri da Silva, Claudio Rogerio [1] ; Morabito, Reinaldo [2]
Total Authors: 2
Affiliation:
[1] Embraer Empresa Brasileira Aeronaut, BR-13565905 Botucatu, SP - Brazil
[2] Univ Fed Sao Carlos, Dept Prod Engn, BR-13565905 Sao Carlos, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH; v. 47, n. 23, p. 6589-6609, 2009.
Web of Science Citations: 9
Abstract

In this paper, we apply performance evaluation and capacity allocation models to support decisions in the design (or redesign) and planning of a job-shop queueing network of a metallurgical plant. Approximate parametric decomposition methods are used to evaluate system performance measures, such as the expected work-in-process (WIP) and production leadtimes. Based on these methods, optimisation models are then applied for the allocation (or reallocation) of capacity to the stations of the job-shop network. These models are also used to generate approximate trade-off curves between capacity investment and WIP or leadtime, which are valuable for a production manager to estimate how much capacity should be allocated to the stations to reach some targeted performance measures. These curves are also useful for the sensitivity analysis of the solutions to changes in the input parameters, such as the variability of the product demands, the mix of the production and the throughput rate of the network. (AU)