Strategy management through quantitative modelling of performance measurement systems

This paper is based on previous works on performance measurement and on quantification of relationships between factors which affect performance. It demonstrates how tools and techniques developed can be used to evaluate the performance of alternative strategic choices through a quantitative approach to modelling of performance measurement systems. The paper provides a brief background to the research problem and preceding works. The tools and techniques used are briefly introduced. Use of these tools and techniques to evaluate the performance of alternative manufacturing strategies is demonstrated. Finally, the capability of the approach to deal with dynamic environments is demonstrated using sensitivity analysis

Perancangan Model Pengembangan Kinerja Daya Saing Klaster Industri Minyak Dan Gas Bumi Di Jawa Timur

Oil and gas industry is a sector that has a vital strategic role on national development. East Java is one of the province in Java that has an enourmous potential on oil and gas and has not been optimally explored. Industrial cluster is an industrial development concept that comphrehensively organize the relationship and behaviour of stakeholder in industry so that they can co-operate to increase the competitiveness of the industry. The increasing of industrial competitiveness is supported by completeness and contribution of each industry in oil and gas industial cluster in each java by identifying the behaviour of stakeholder and system in this sector which is described in stakeholder model and value chain model. In this research, lubricant industrial cluster is used as an embryo for developing oil and gas industrial cluster. The complexity of the system in terms of system behaviour will be presented in a dynamic system model, which will make it possible to identify the influence between each variables.The Porter’s Diamond model is adapted to model the behaviour of the competitiveness. The result of this research showed that in increasing the industrial cluster competitiveness some variables are significantly influencing then the others

Quantitative methods for performance measurement systems

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Quantitative models for performance measurement systems

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

Quantitative models for performance measurement system : an analytical hierarchy process approach

This paper looks at quantitative models for performance measurement syste

Time-based prioritisation of performance measurement

This paper looks at time-based prioritisation of performance measuremen

Quantitative models for aggregating and prioritising performance measures

This paper is built based on the previous paper presented on the IEPM’97 Conference, Lyon. First, the principles of the Quantitative Model for Performance Measurement System is presented, including the models for prioritisation of performance measurement and resources allocation. Then, the model is extended by using the model to evaluate the performance of manufacturing strategies, and elaborating the dynamics of the model. Through the sensitivity analysis of the model the impacts of the changes of environments on the model can be identified

Systems for managing the dynamics of performance measurement

The paper starts with describing the background to the work and goes on to develops a model for integrated and dynamic performance measurement systems. It identifies that current knowledge and techniques are sufficiently mature enough to create dynamic performance measurement systems in practice and illustrates this through a case study. The paper ends with a series of conclusions and lessons as well as highlighting further research and development needs

Performance measurement systems : auditing and prioritisation of performance measures

Identifying and prioritising performance measures are common problems faced by most companies. This paper presents the works at University of Strathclyde to address these issues. First, Integrated Performance Measurement System Reference Model, and then the Quantitative Model for Performance Measurement System (IPMS) is introduced. The integrated use of both IPMS Reference Model and QMPMS is demonstrated through a case stud