Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61750
Title: Experience-Based Product Inspection Planning for Industry 4.0
Contributor(s): Ahmed, Muhammad Bilal (author); Majeed, Farhat (author); Sanin, Cesar  (author)orcid ; Szczerbicki, Edward (author)
Publication Date: 2021
Early Online Version: 2021-01-28
DOI: 10.1080/01969722.2020.1871222
Handle Link: https://hdl.handle.net/1959.11/61750
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.

Publication Type: Journal Article
Source of Publication: Cybernetics and Systems, 52(5), p. 296-312
Publisher: Taylor & Francis Inc
Place of Publication: United States of America
ISSN: 1087-6553
0196-9722
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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