Modelling framework to support decision-making in manufacturing enterprises

Tariq Masood, Richard H. Weston

Research output: Contribution to journalArticle

5 Citations (Scopus)
1 Downloads (Pure)

Abstract

Systematic model-driven decision-making is crucial to design, engineer, and transform manufacturing enterprises (MEs). Choosing and applying the best philosophies and techniques is challenging as most MEs deploy complex and unique configurations of process-resource 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 are made: (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.

Original languageEnglish
Article number234939
Number of pages24
JournalAdvances in Decision Sciences
Volume2013
DOIs
Publication statusPublished - 11 Mar 2013

Keywords

  • model driven
  • manufacturing enterprises
  • decision making
  • enhanced integrated modelling framework

Fingerprint Dive into the research topics of 'Modelling framework to support decision-making in manufacturing enterprises'. Together they form a unique fingerprint.

Cite this