Smart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Module

Title
Smart Virtual Product Development: Manufacturing Capability Analysis and Process Planning Module
Publication Date
2022
Author(s)
Ahmed, Muhammad Bilal
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
10.1080/01969722.2021.2018546
UNE publication id
une:1959.11/61723
Abstract

Smart Virtual Product Development (SVPD) system provides effective use of information, knowledge, and experience in industry during the process of product development in Industry 4.0 scenario. This system comprises of three primary modules, each of which has been developed to cater to a need for digital knowledge capture for smart manufacturing in the areas of product design, production planning, and inspection planning. Manufacturing Capability Analysis and Process Planning (MCAPP) module is an important module of the SVPD system, and it involves the provision of manufacturing knowledge to experts working on product development at the early stages of the product lifecycle. In this research, we firstly describe the structure and working mechanism of the SVPD system’s MCAPP module. This is followed by validation of the MCAPP module’s Manufacturing Process Planning (MPP) sub-module against the key performance indicators (KPIs) by using our threading tap case study. Our results verify the feasibility of our approach and show how manufacturing knowledge relating to features and functions can be used to enhance the manufacturing process across similar products during the early stages of product development. An analysis of the basic concepts and methods of implementation show that this is an expert system capable of supporting smart manufacturing which can play a vital role in the establishment of Industry 4.0.

Link
Citation
Cybernetics and Systems, 53(5), p. 468-481
ISSN
1087-6553
0196-9722
Start page
468
End page
481

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