The chapter case on Renault's information systems illustrates the use of which type of system to move to a pull-based model for its supply chain?

The use of a Decision Support System (DSS) in Renault's transition to a pull-based model for its supply chain is focused on enhancing decision-making capabilities. A DSS integrates data from various sources to assist managers in making informed decisions based on real-time information.

In the context of Renault, implementing a pull-based model means that production and inventory are driven by actual customer demand rather than forecasts. This requires an agile and responsive system capable of analyzing vast amounts of data and providing insights that help managers adjust production and supply chain logistics promptly.

The DSS typically encompasses analytical tools, data management capabilities, and modeling features that allow the company to simulate different scenarios and assess the potential impact on supply chain performance. By using a DSS, Renault is able to respond more effectively to market changes, improve efficiency, and reduce waste, further emphasizing the importance of timely and relevant data in decision-making processes.

This use of a Decision Support System aligns well with the strategic goals of lowering inventory costs and increasing customer satisfaction by ensuring availability of products in response to actual demand.