An integrated production scheduling model for multi-product orders in VCIM systems

Son Duy Dao (), Kazem Abhary and Romeo Marian
Additional contact information
Son Duy Dao: University of South Australia
Kazem Abhary: University of South Australia
Romeo Marian: University of South Australia

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 2, 12-27

Abstract: Abstract Virtual computer-integrated manufacturing (VCIM) is a global integrated manufacturing system, capable of exploiting the locally as well as globally distributed resources. Production scheduling is one of the critical factors to the success of VCIM systems. In this paper, a VCIM integrated production scheduling model is proposed which allows optimisation of the production scheduling of simultaneous multiple product orders. In the model, two major issues of the production scheduling, namely agent selection and collaborative shipment scheduling for multiple product orders, are fully integrated together to take advantage of the shipment collaboration. The effectiveness of the proposed model is demonstrated by a comprehensive case study with the aid of Genetic Algorithm solver in Matlab. The achievements of this study can serve as the fundamental steps towards the developing a decision support system capable of helping decision makers to operate VCIM systems more effectively.

Keywords: Virtual computer-integrated manufacturing; Integrated production scheduling; Agent selection; Collaborative shipment scheduling; Optimisation (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s13198-016-0504-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-016-0504-5

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-016-0504-5

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().