Synchronization in manufacturing systems: quantification and relation to logistics performance. Issue 20 (17th October 2016)

• Record Type: Journal Article
• Authors: Chankov, Stanislav; Hütt, Marc-Thorsten; Bendul, Julia
• Is Part Of: International journal of production research. Volume 54:Issue 20(2016)
• Page Start: 6033
• Page End: 6051
• Publication Date: 2016-10-17
• Subjects: synchronization -- production system -- production planning and control -- manufacturing system design -- just-in-time production -- due date performance; Factory management -- Periodicals; 658.57
• DOI: 10.1080/00207543.2016.1165876
• Languages: English
• ISSNs: 0020-7543

Abstract

Abstract : The term 'synchronization' in manufacturing refers to the provision of the right components to the subsequent production steps at the right moment in time. It is widely assumed that synchronization is beneficial to the logistics performance of manufacturing systems. However, it has been shown that synchronization phenomena can be detrimental to systems in which they emerge. To study if synchronization phenomena also occur in and affect manufacturing systems' performance, a formal quantification and holistic understanding of the types of synchronization phenomena emerging in manufacturing are needed. This article aims to fill this research gap by developing synchronization measures for manufacturing systems, applying these measures to real-world production feedback data and utilising them to test the assumption about synchronization's beneficial effect on logistics performance. We identify two distinct synchronization types occurring in manufacturing systems, logistics and physics synchronization, and show that they are negatively correlated. Further, we show that logistics synchronization and due date performance exhibit anti-correlation and thus question the assumption that synchronization leads to higher efficiency in manufacturing systems. This article aids production managers in designing and optimising production systems, and supports further empirical research in production planning and control and production system design.