An order scheduling problem in seru production system considering worker assignment

Yulong Wang, Zhe Zhang and Yong Yin

International Journal of Industrial and Systems Engineering, 2021, vol. 37, issue 2, 149-167

Abstract: As one of the latest production modes, seru production, which is arising from Japanese manufacturing practice, has been attracted more and more attention due to its efficiency, flexibility, and quick response ability. In this paper, the scheduling problem with worker assignment in the seru production system is studied where a set of orders must be scheduled over the parallel serus according to the due date. This problem is constructed as a multi-objective model to minimise the total variable cost (TVC) and total idle time (TIT). Then, according to the characteristics of proposed model, the K-means clustering is used to solve the worker assignment and the artificial bee colony (ABC) algorithm is used to solve the order scheduling problem. Finally, the practicality and effectiveness of the proposed model and algorithm are demonstrated by the numerical examples, and the results show that the artificial bee colony algorithm has a good scalability.

Keywords: order scheduling problem; seru; worker assignment; artificial bee colony algorithm; K-means clustering; KMC. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=112898 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijisen:v:37:y:2021:i:2:p:149-167

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().