ROBUST DESIGN AND OPTIMIZATION OF MATERIAL HANDLING IN AN FMS

被引：22

作者：

SHANG, JS

机构：

[1] The Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, PA

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 1995年 / 33卷 / 09期

关键词：

D O I：

10.1080/00207549508904825

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Although a significant amount of simulation research has been carried out for design and analysis of flexible manufacturing systems (FMS), it does not provide optimal solutions. In this research, we employ two optimum-seeking methods to design and optimize a manufacturing system. The first method is a Taguchi approach, which uses robust design concept to reduce the output variation. The second method is the response surface methodology (RSM), which combines mathematical and statistical techniques to study the geography of the response surface. The results show that throughput of a selected FMS system can be maximized when both methods are employed.

引用

页码：2437 / 2454

页数：18

共 15 条

[1]

Apple J.M., Material Handling System Design, (1972)

[2]

Egrixu P.J., Tanchoco J., Characterization of automated guided vehicle dispatching rules, International Journal of Production Research, 22, pp. 359-374, (1954)

[3]

Egbelu P.J., The use of non-simulation approaches in estimating vehiclc requirements in an automated guided vchicic based transport system, Material Flow, 4, pp. 17-32, (1987)

[4]

Maxwell W.L., Muckstadt J.A., Design of automated guided vehicles, IIE Transactions, 14, pp. 114-124, (1982)

[5]

Montgomery D.C., Design and Analysis of Experiments, (1991)

[6]

Pritskir A., Introduction to Simulation and SLAM II, (1986)

[7]

Raju K.R., Chetty O., Design and evaluation of automated guided vehicle systems for flexible manufacturing systems: An extended timed Petri net-based approach, International Journal of Production Research, 31, pp. 1069-1096, (1993)

[8]

Sabuncuoglu I., Hommertzheim D.L., Experimental investigation of FMS machine and AGV scheduling rules against the mean flow-time criterion, International Journal of Production Research, 30, pp. 1617-1635, (1992)

[9]

Siiang J.S., Tadikamalla P.R., Output maximization of a CIM syslem: Simulation and statistical approach, International Journal of Production Research, 31, pp. 19-41, (1993)

[10]

Sinriech D., Tanchoco J., An economic model for determining AGV fleet size, International Journal of Production Research, 30, pp. 1255-1268, (1992)

← 1 2 →