Simulation-based performance comparison between dynamic cells, classical cells and job shops: a case study

被引：20

作者：

Drolet, J. ^{[1
]}

Marcoux, Y. ^{[1
]}

Abdulnour, G. ^{[1
]}

机构：

[1] Univ Quebec Trois Rivieres, Ecole Ingn, Dept Genie Ind, Trois Rivieres, PQ G9A 5H7, Canada

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2008年 / 46卷 / 02期

关键词：

simulation; dynamic cell; classical cell; job shop; JIT; SMED; DCMS; SME; virtual cell; model; experimental design; factors; experimental plan; priority rules; schedule; interaction;

D O I：

10.1080/00207540601138312

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents the results of a simulation-based performance comparison between dynamic cellular (DC) manufacturing systems and two other well-known systems, namely classical cells (CC) and job shop systems (JS). The performance comparison is made at different levels of turbulence. The experiment contains 13 independent variables, most of them related to demand turbulence, and 17 dependant variables related to performance measure. A stochastic simulation model developed on Microsoft Visual FoxPro 5.0 was used in combination with LINDO (a linear/integer programming software) to obtain the initial results. In view of the large number of variables and the time required to run each experiment, a Taguchi plan was used to optimize the model. The results obtained from the analysis of variance indicate that dynamic cellular manufacturing systems are generally more efficient than classical cellular systems or job shop systems, especially with respect to the average and maximum throughput time, mean and maximum work-in-process, mean and maximum tardiness, and the total marginal cost for a given horizon.

引用

页码：509 / 536

页数：28