Global competition and the rapid pace of technological change now require the almost continual introduction of product upgrades by any manufacturer. Thus, such a manufacturer is likely to market older and newer versions of a product simultaneously, not to mention niche-specific editions of any product upgrade. An increasingly successful response to this product proliferation is the implementation of flexible assembly systems. In the context of a flexible assembly system (FAS), the ability to estimate the impact of various product and process options on the maximal level of system output becomes crucial to managing the ever-changing product mix. This paper presents a tool for such impact estimation that can facilitate concurrent development and engineering. Experience with an actual FAS is the basis for the reported results. The tool is a specialized combination of discreteevent computer simulation, experimental design, and regression analysis. Application of the tool assumes FAS use with a cellular manufacturing philosophy. Thus, uncluttered process flow for a family of products in the sense of group technology places the focus on potential bottlenecks. The new tool here models the impact of process and product options on bottleneck and, hence, FAS behavior.
[1]
Kim B. Clark,et al.
Product Development in the World Auto Industry
,
1987
.
[2]
Avraham Shtub,et al.
Capacity allocation and material flow in planning group technology cells
,
1988
.
[3]
S. Kekre.
Performance of a Manufacturing Cell with Increased Product Mix
,
1987
.
[4]
Yu-Chi Ho,et al.
Performance sensitivity to routing changes in queuing networks and flexible manufacturing systems using perturbation analysis
,
1985,
IEEE J. Robotics Autom..
[5]
John L. Burbidge,et al.
The introduction of group technology
,
1975
.
[6]
Leon F. McGinnis,et al.
T𝕙roughput Rate Maximization In Flexible Manufacturing Cells
,
1988
.
[7]
Rajan Suri,et al.
Modelling flexible manufacturing systems using mean-value analysis
,
1984
.
[8]
Rakesh K. Sarin,et al.
Simultaneous Product-Mix Planning, Lot Sizing and Scheduling at Bottleneck Facilities
,
1991,
Oper. Res..
[9]
Nancy Lea Hyer,et al.
Procedures for the part family/machine group identification problem in cellular manufacturing
,
1986
.