Experience-Based Product Inspection Planning for Industry 4.0

Title
Experience-Based Product Inspection Planning for Industry 4.0
Publication Date
2021
Author(s)
Ahmed, Muhammad Bilal
Majeed, Farhat
Sanin, Cesar
( author )
OrcID: https://orcid.org/0000-0001-8515-417X
Email: cmaldon3@une.edu.au
UNE Id une-id:cmaldon3
Szczerbicki, Edward
Type of document
Journal Article
Language
en
Entity Type
Publication
Publisher
Taylor & Francis Inc
Place of publication
United States of America
DOI
10.1080/01969722.2020.1871222
UNE publication id
une: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.

Link
Citation
Cybernetics and Systems, 52(5), p. 296-312
ISSN
1087-6553
0196-9722
Start page
296
End page
312

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