The effects of using system dynamics-based decision support models: testing policy-makers’ boundaries in a complex situation

International audienceSystems thinking and computer-based modelling systems are widely recognised as effective for solving complex problems, particularly for the potential changes they can trigger in decision-makers’ perception of where problems’ boundaries lie. Surprisingly, few studies have analysed their empirical effects on decision-making. This paper explores the effects of the use of a system dynamics-based decision support system (DSS) by decision-makers, focusing on boundary judgements, which indicate what issues and stakeholders are to be included in the decision analysis. The data were obtained from an experiment with 40 policy-makers, using a simulated case approach that focused on the complex biotechnology intellectual property system. They suggest that the use of such a DSS favours both the analysis of a greater range of perspectives and broader stakeholder participation, but does not strengthen either interdisciplinary integration or depth of stakeholder participation

Supply Chain Integration in the Automobile Industry: The Case of ANX

This paper describes a major undertaking in supply chain integration. By adopting a common communication platform (ANX), the automotive industry is bridging together major OEMs and an impressive supplier network all around the world. The ANX platform will ultimately allow the interconnection of tens of thousands of companies that support different activities along an automobile’s value chain, i.e. from basic design right up to recuperation. With the advent of the five-day car, the industry is moving quickly from mass production to mass customization