Quantitative models for performance measurement system
| Autor: | Allan S. Carrie, Patdono Suwignjo, Umit Bititci |
|---|---|
| Rok vydání: | 2000 |
| Předmět: |
Structure (mathematical logic)
Economics and Econometrics Computer science Production cost Analytic hierarchy process Management Science and Operations Research General Business Management and Accounting Industrial engineering Industrial and Manufacturing Engineering Tree (data structure) Simple (abstract algebra) Taxonomy (general) Performance measurement Operations management Engineering design process |
| Zdroj: | International Journal of Production Economics. 64:231-241 |
| ISSN: | 0925-5273 |
| Popis: | This paper describes works at the Centre for Strategic Manufacturing, University of Strathclyde on developing Quantitative Models for Performance Measurement Systems (QMPMS) using cognitive maps, cause and effect diagrams, tree diagrams, and the analytic hierarchy process. It describes how the technique can be used to identify factors affecting performance and their relationships, structure them hierarchically, quantify the effect of the factors on performance, and express them quantitatively. A simple example is used throughout the paper to explain how the concept of the model works. An application of the method to model `total production cost per unit’ of a collaborator company is presented. Then taxonomy of performance measurement is outlined. The taxonomy, which is developed based on the QMPMS, can be used to prioritise performance measurement. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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