articleTop 1% cited
The generalized group technology concept
International Journal of Production Research · 1987 · Vol. 25(4) · pp. 561–569
Andrew Kusiak✉(University of Manitoba)
Abstract
In this paper two classes of clustering models are considered: (1) matrix, and (2) integer programming. The relationship between the matrix model, the p-median model and the classical group technology concept is discussed. A generalized group technology concept, based on generation for one part of a number of different process plans, is proposed. This new concept improves the quality of process (part) families and machine cells. A corresponding integer programming model is formulated. The models discussed are illustrated with numerical examples.
Advanced Manufacturing and Logistics OptimizationManufacturing Process and OptimizationScheduling and Optimization AlgorithmsGroup technologyInteger programmingGroup (periodic table)Mathematical optimizationProcess (computing)MathematicsInteger (computer science)Matrix (chemical analysis)Cellular manufacturingComputer science
Funding
- Family Process Institute
Citations
546
FWCI
27.05
field-weighted impact
References
13
Percentile
100%
vs. same field & year
Citations per year
References
Machine-component grouping in production flow analysis: an approach using a rank order clustering algorithm
International Journal of Production Research · 1980 · 794 citations
Problem Decomposition and Data Reorganization by a Clustering Technique
Operations Research · 1972 · 709 citations
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