Please use this identifier to cite or link to this item: https://doi.org/10.1080/09511920500064714
Title: A methodology for evaluating the manufacturing ability of equipment in virtual enterprises
Authors: Wang, H.H.
Zhou, Z.D.
Chen, Y.P.
Ong, S.K. 
Nee, A.Y.C. 
Keywords: Equipment agent
Manufacturing ability
Multi-agent system
Virtual enterprise
Issue Date: Jun-2006
Source: Wang, H.H., Zhou, Z.D., Chen, Y.P., Ong, S.K., Nee, A.Y.C. (2006-06). A methodology for evaluating the manufacturing ability of equipment in virtual enterprises. International Journal of Computer Integrated Manufacturing 19 (4) : 339-349. ScholarBank@NUS Repository. https://doi.org/10.1080/09511920500064714
Abstract: This paper proposes a methodology for evaluating the manufacturing ability of equipment in a multi-agent-based virtual manufacturing enterprise by enveloping the manufacturing information of the various equipment as equipment agents. The manufacturing ability of equipment consists of two classes: the processing ability and the processing capability of the equipment. The processing ability of equipment indicates the tasks and operations that the equipment can perform, and is peculiar to the equipment. The processing capability of equipment shows the capability of the equipment to undertake and accomplish a specified task under some constraints, such as time and cost, and it depends on both the equipment and the task. It varies with different equipment and tasks, and at different times. The concept of an operation spectrum of equipment is introduced to verify the processing ability of the equipment, and methods are formulated to calculate the current capability of the equipment and estimate the cost for bidding for new tasks. The proposed methodology on the manufacturing ability of the equipment in a virtual enterprise can be implemented easily using equipment agents. This methodology can support the equipment agents to bid for new tasks as real independent agents in virtual manufacturing enterprises or multi-site enterprises.
Source Title: International Journal of Computer Integrated Manufacturing
URI: http://scholarbank.nus.edu.sg/handle/10635/54371
ISSN: 0951192X
DOI: 10.1080/09511920500064714
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

3
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

2
checked on Nov 22, 2017

Page view(s)

26
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


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