Bititci, Umit and Suwignjo, P. and Carrie, Allan (2000) Quantitative models for performance measurement systems. International Journal of Production Economics, 64 (1-3). pp. 231-241. ISSN 0925-5273Full text not available in this repository. (Request a copy from the Strathclyde author)
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.
|Keywords:||performance measurement, prioritisation of performance measurement, production economics, Engineering design, Business, Management and Accounting(all), Economics and Econometrics, Management Science and Operations Research, Industrial and Manufacturing Engineering|
|Subjects:||Technology > Engineering (General). Civil engineering (General) > Engineering design|
|Department:||Faculty of Engineering > Design, Manufacture and Engineering Management|
|Depositing user:||Pure Administrator|
|Date Deposited:||31 Aug 2011 15:34|
|Last modified:||24 Jun 2016 02:30|