Modelling Framework to Support Decision-Making in Manufacturing Enterprises

Systematicmodel-driven decision-making is crucial to design, engineer, and transformmanufacturing enterprises (MEs). Choosing and applying the best philosophies and techniques is challenging asmostMEsdeploy complex andunique configurations of processresource systems and seek economies of scope and scale in respect of changing and distinctive product flows. This paper presents a novel systematic enhanced integrated modelling framework to facilitate transformation of MEs, which is centred on CIMOSA. Application of the new framework in an automotive industrial case study is also presented. The following new contributions to knowledge aremade: (1) an innovative structured framework that can support various decisions in design, optimisation, and control to reconfigure MEs; (2) an enriched and generic process modelling approach with capability to represent both static and dynamic aspects of MEs; and (3) an automotive industrial case application showing benefits in terms of reduced lead time and cost with improved responsiveness of process-resource system with a special focus on PPC. It is anticipated that the new framework is not limited to only automotive industry but has a wider scope of application.Therefore, it would be interesting to extend its testing with different configurations and decision-making levels.