International Journal of Industrial Engineering and Management

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut ero labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco.

GUIDE FOR AUTHORS SUBMIT MANUSCRIPT
Vol. 4 No. 2 (2013)
Original Research Article

Managing Complex Production System Variables

Kim Hua Tan
Nottingham University Business School, University of Nottingham
Bio
Zdravko Tesic
Faculty of Technical Sciences, University of Novi Sad
Bio

Published 2013-06-30

abstract views: 7 // FULL TEXT ARTICLE (PDF): 0


Keywords

  • Connectance Concept,
  • Decision Support,
  • Manufacturing Strategy,
  • Operations Management

How to Cite

Tan, K. H., & Tesic, Z. (2013). Managing Complex Production System Variables. International Journal of Industrial Engineering and Management, 4(2), 69–80. https://doi.org/10.24867/IJIEM-2013-2-109

Abstract

Managing a large number of production variables’ information is a complex task. So far, little is available to assist production managers to manage and visualise variables’ information in such a way that these valuable variables information could be used to support strategic decision making. This research has sought to address this problem by developing a software tool that offers a database, and visualisation function, which shows the inter-relationships of the production variables. The tool was developed based on the Connectance Concept, and has a built-in evaluation module using the Analytic Hierarchy Process to facilitate decision analysis. This paper describes the structure of the software tooland its features. The results of testing and application ofthe tool in companies are presented. This paper concludes by discussing the implications of this research for managers, and identifying directions for future research.

 

Article history: Received (21 February 2013); Revised (10 May 2013); Accepted (27 May 2013)  

PlumX Metrics

Dimensions Citation Metrics