Towards A System Dynamics Modelling Framework for Quality in manufacturing
Faculty of Business and Public Management
School of Business
Improvements in quality in organisations result due to interactions and interdependencies among various factors such as an organisation's physical capacity, technology and employee skills, and management leadership. These interactions can be studied through cause and effect modelling. There is a need to understand how policies relating to quality effect and transform organisations' performance over time and ultimately determine the dynamics of quality. This paper presents a system dynamics framework, based on causal relations, to model quality issues in a manufacturing environment. The framework can be used to identify the long-term consequences of policy options on quality and manufacturing system performances. As a result of applying this framework, it is suggested that it can be used to improve organisational performance and competitiveness.