Manufacturing system modeling for productivity improvement
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. Th...
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Published in | Journal of manufacturing systems Vol. 21; no. 4; pp. 249 - 259 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
Kidlington
Elsevier Ltd
01.01.2002
Elsevier SME |
Subjects | |
Online Access | Get full text |
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Abstract | 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. |
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AbstractList | 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. |
Author | Wang, Ge Huang, Samuel H. Dismukes, John P. Shi, J. Su, Qi Razzak, Mousalam A. Robinson, D.Eugene |
Author_xml | – sequence: 1 givenname: Samuel H. surname: Huang fullname: Huang, Samuel H. organization: Intelligent CAM Systems Laboratory, Dept. of Mechanical, Industrial and Nuclear Engineering, University of Cincinnati, Cincinnati, Ohio, USA – sequence: 2 givenname: John P. surname: Dismukes fullname: Dismukes, John P. organization: Center for Manufacturing Value Chain Science, College of Engineering, The University of Toledo, Toledo, Ohio, USA – sequence: 3 givenname: J. surname: Shi fullname: Shi, J. organization: Intelligent CAM Systems Laboratory, Dept. of Mechanical, Industrial and Nuclear Engineering, University of Cincinnati, Cincinnati, Ohio, USA – sequence: 4 givenname: Qi surname: Su fullname: Su, Qi – sequence: 5 givenname: Ge surname: Wang fullname: Wang, Ge – sequence: 6 givenname: Mousalam A. surname: Razzak fullname: Razzak, Mousalam A. – sequence: 7 givenname: D.Eugene surname: Robinson fullname: Robinson, D.Eugene organization: Pilkington North America, Toledo, Ohio, USA |
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Keywords | Productivity Overall Equipment Effectiveness Manufacturing System Modeling Production system Sensitivity analysis Mechanical drive Constraint theory Implementation Optimization |
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Snippet | Competition and the drive for profits are forcing companies to implement various productivity improvement efforts. Implementation of total productive... |
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SubjectTerms | 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 |
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Title | Manufacturing system modeling for productivity improvement |
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