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Abstract
In this paper we describe how our Smart Virtual Product Development (SVPD) system can be used to enhance product inspection planning. The SVPD system is comprised of three main modules, these being the design knowledge management (DKM) module, the manufacturing capability and process planning (MCAPP) module, and the product inspection planning (PIP) module. Experiential knowledge relating to formal decisional events is collected, stored and used by the system in the form of set of experiences (SOEs). Here we discuss the working mechanism of the PIP module and show how experiential knowledge relating to the inspection of products that have features and functions in common can be used to enhance product inspection planning during early stages of product development. Our discussion commences with an introduction to fundamental concepts and a general system overview. We then describe the development of our SVPD system’s PIP module, and a case study we undertook for validation purposes. Results of the case study show that our system is capable of supporting product inspection planning in smart manufacturing, and thus has a vital role to play in Industry 4.0.
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Authors (4)
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Muhammad Ahmed
- University of Newcastle, Australia
-
Farhat Majeed
- UON Australia
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Cesar Sanin
- UON Australia
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2021 Informa UK Limited)
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
CYBERNETICS AND SYSTEMS
no. 52,
pages 296 - 312,
ISSN: 0196-9722 - Language:
- English
- Publication year:
- 2021
- Bibliographic description:
- Ahmed M., Majeed F., Sanin C., Szczerbicki E.: Experience-Based Product Inspection Planning for Industry 4.0// CYBERNETICS AND SYSTEMS -Vol. 52,iss. 5 (2021), s.296-312
- DOI:
- Digital Object Identifier (open in new tab) 10.1080/01969722.2020.1871222
- Verified by:
- Gdańsk University of Technology
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