- Title
- Experience-Based Product Inspection Planning for Industry 4.0
- Creator
- Ahmed, Muhammad B.; Majeed, Farhat; Sanin, Cesar; Szczerbicki, Edward
- Relation
- Cybernetics and Systems Vol. 52, Issue 5, p. 296-312
- Publisher Link
- http://dx.doi.org/10.1080/01969722.2020.1871222
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2021
- Description
- 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.
- Subject
- metrology; product development; product inspection planning; set of experience knowledge structure (soeks) and decisional DNA (ddna); smart virtual product development system; SDG 9; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1474583
- Identifier
- uon:49309
- Identifier
- ISSN:0196-9722
- Language
- eng
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