Stochastic analysis of TPS : Expose and eliminate variability by highly specifying WCP
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 751-775 |
Journal / Publication | International Journal of Production Research |
Volume | 47 |
Issue number | 3 |
Publication status | Published - Jan 2009 |
Link(s)
Abstract
A production system is designed with three elements: works, connections and pathways (WCP), which cover how people work, how people connect and how the production line is constructed, from the point of view of a flow unit. The design principle of highly specifying WCP leads to two operations pillars that support the Toyota production system (TPS): just-in-time (JIT) and autonomation. Some stochastic models are proposed to verify the logic of highly specifying work for JIT. The stochastic models show that works are highly specified to reduce the variability whereas highly specifying connections and pathways without resource pooling expose variability in works as low inventory exposes the hidden problems in a factory. To achieve JIT, highly specifying works in each workstation is fundamental; the key solution is to reduce the variability of works. The information entropy theory is used to verify the logic of highly specifying WCP for autonomation. Highly specifying WCP can reduce the information needed by workers to identify and solve problems in the flow unit.
Research Area(s)
- Autonomation, Information entropy, Just in time, Resource pooling, Stochastic models, Toyota
Citation Format(s)
Stochastic analysis of TPS: Expose and eliminate variability by highly specifying WCP. / Gong, Qiguo; Wang, Shouyang; Lai, K. K.
In: International Journal of Production Research, Vol. 47, No. 3, 01.2009, p. 751-775.
In: International Journal of Production Research, Vol. 47, No. 3, 01.2009, p. 751-775.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review