Manufacturing system modeling for productivity improvement

• Published in: Journal of manufacturing systems Vol. 21; no. 4; pp. 249 - 259
• Main Authors: Huang, Samuel H., Dismukes, John P., Shi, J., Su, Qi, Wang, Ge, Razzak, Mousalam A., Robinson, D.Eugene
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.01.2002; Elsevier; SME
• Subjects: Applied sciences; Computer science; control theory; systems; Control theory. Systems; Efficiency; Exact sciences and technology; Factories; Inventory; Inventory control, production control. Distribution; Manufacturing; Manufacturing execution systems; Manufacturing System; Mathematical models; Modeling; Operational research and scientific management; Operational research. Management science; Overall Equipment Effectiveness; Process control. Computer integrated manufacturing; Production management; Productivity; Productivity measurement; Studies; Theory of constraints; Productivity; Overall Equipment Effectiveness; Manufacturing System; Modeling; Production system; Sensitivity analysis; Mechanical drive; Constraint theory; Implementation; Optimization
• ISSN: 0278-6125; 1878-6642
• DOI: 10.1016/S0278-6125(02)80165-0

Competition and the drive for profits are forcing companies to implement various productivity improvement efforts. Implementation of total productive maintenance (TPM) techniques has led to significant productivity improvements for individual equipment, particularly in the semiconductor industry. The productivity improvements achieved at the equipment level are significant but insufficient because what a company really needs is a highly efficient system/factory. This is especially true in the discrete manufacturing industry. In this paper, an approach, based on overall equipment effectiveness (OEE), is developed to model the productivity of a manufacturing system in terms of overall throughput effectiveness (OTE). Sensitivity analysis and theory of constraints are used to help identify productivity improvement opportunities. A real-world case study is presented to illustrate the applicability of the approach.