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Title: Cross-trained worker assignment and comparative analysis on throughput of divisional and rotating seru
Authors: Wu, L
Chan, FTS 
Niu, B 
Li, L
Keywords: Throughput
Divisional seru
Rotating seru
Seru manufacturing system
Worker assignment
Issue Date: 2018
Publisher: Emerald Group Publishing Limited
Source: Industrial management and data systems, 2018, v. 118, no. 5, p. 1114-1136 How to cite?
Journal: Industrial management and data systems 
Abstract: Purpose Seru (cell) manufacturing system has achieved huge success in production. However, related research is limited, especially, the problem of cross-trained worker assignment. The purpose of this paper is to solve this problem for two representative seru types, divisional and rotating seru, and subsequently, compare throughput performance between the two seru types under reasonable worker-task assignment.
Design/methodology/approach For the cross-trained worker assignment problem, this research presents new models aiming at maximum throughput of seru and workload balance of workers under considering skill levels (SLs) and several practical constraints. Furthermore, factorial experiments that involve four factors, the number of tasks (NT), gap of task time, SL and gap of SL, are performed to compare throughput performance between divisional and rotating seru.
Findings First, the maximum throughput of the divisional seru is better than that of the rotating seru under suitable worker assignment. Second, in the seru which has less difference of task time, throughput performance of the rotating seru is better than the divisional seru when the NT is close to the number of assigned workers. Moreover, the influence tendency of the four factors on throughput gap between the two seru types is significant.
Originality/value This research addresses the worker-task assignment for divisional and rotating seru based on their characteristics. Several findings can help decision maker select more applicable seru type according to various production environments from the perspective of optimum throughput.
ISSN: 0263-5577
EISSN: 1758-5783
DOI: 10.1108/IMDS-07-2017-0303
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