Please use this identifier to cite or link to this item:
Title: Increasing production rate in Kanban controlled assembly lines through preventive maintenance
Authors: Ruifeng, C.
Subramaniam, V. 
Keywords: assembly line
preventive maintenance
unreliable machine
Issue Date: 15-Feb-2012
Source: Ruifeng, C., Subramaniam, V. (2012-02-15). Increasing production rate in Kanban controlled assembly lines through preventive maintenance. International Journal of Production Research 50 (4) : 991-1008. ScholarBank@NUS Repository.
Abstract: Preventive maintenance is widely implemented in manufacturing industries for reducing random machine failures. High availability of a machine may be ensured by avoiding excessive or insufficient maintenance. Although analytical models of single or two-machine systems with preventive maintenance have been proposed in the literature, similar study on multi-machine systems remains limited. In this paper, the authors investigate preventive maintenance in Kanban controlled assembly lines and develop an analytical model for such systems. This model decomposes an assembly line into a series of primitive line segments. Each segment is characterised by a continuous-time-discrete-state Markov process. This model provides the estimates of production rate and work-in-process, which can be used to evaluate the effect of preventive maintenance on an assembly line. Additionally, based on the proposed model, we also present an algorithm to determine the maintenance rates for all machines in a Kanban controlled assembly line. As demonstrated in the numerical experiments, the analytical model is useful to manufacturers in preventing excessive or insufficient maintenance and thus improving the production rate of Kanban controlled assembly lines. © 2012 Taylor & Francis.
Source Title: International Journal of Production Research
ISSN: 00207543
DOI: 10.1080/00207543.2011.551844
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Mar 14, 2018


checked on Mar 14, 2018

Page view(s)

checked on Mar 11, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.