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Author:

Liu, Shaofeng (Liu, Shaofeng.) | Annansingh, Fenio (Annansingh, Fenio.) | Moizer, Jonathan (Moizer, Jonathan.) | Liu, Li (Liu, Li.) | Sun, Wei (Sun, Wei.) (Scholars:孙威)

Indexed by:

EI Scopus

Abstract:

This paper discusses a knowledge system for organisational decision making on waste elimination to achieve lean production. The system is named Production Waste Elimination Knowledge System (ProWEKS). An empirical study was undertaken to obtain production engineers and managers' empirical knowledge and expertise. A knowledge acquisition matrix has been designed for the knowledge elicitation activity. A waste elimination knowledge model is proposed which captures the inter-relationships between different knowledge components across four knowledge layers including know-what, know-how, know-why and know-with. A knowledge base has been developed based on the knowledge model through constructing a decision tree. The system is demonstrated and evaluated using a quality control decision case from the electronics industry. The main contribution of the paper is that it proposes a new knowledge architecture which comprehensively captures not only the know-what and know-how, but also the know-why and know-with of the waste elimination knowledge for lean production. © 2012 Springer-Verlag.

Keyword:

Decision support systems Quality control Decision making Decision trees Electronics industry Knowledge based systems Lean production Electronic equipment manufacture Waste management Technology transfer Knowledge acquisition

Author Community:

  • [ 1 ] [Liu, Shaofeng]University of Plymouth, PL4 8AA, Plymouth, Devon, United Kingdom
  • [ 2 ] [Annansingh, Fenio]University of Plymouth, PL4 8AA, Plymouth, Devon, United Kingdom
  • [ 3 ] [Moizer, Jonathan]University of Plymouth, PL4 8AA, Plymouth, Devon, United Kingdom
  • [ 4 ] [Liu, Li]University of Plymouth, PL4 8AA, Plymouth, Devon, United Kingdom
  • [ 5 ] [Sun, Wei]Beijing University of Technology, Beijing, China

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Source :

ISSN: 1865-1348

Year: 2012

Volume: 121 LNBIP

Page: 134-150

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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