Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0 - Publikacja - MOST Wiedzy

Wyszukiwarka

Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0

Abstrakt

This paper presents the idea of supporting product inspection planning process during the early stages of product life cycle for the experts working on product development. Aim of this research is to assist a collaborative product development process by using Smart Virtual Product Development (SVPD) system, which is based on Set of Experience Knowledge Structure (SOEKS) and Decisional DNA (DDNA). The proposed system is developed to support three key aspects of industrial product development i.e. design, manufacturing, and product inspection. Therefore, it comprises of three main modules; design knowledge management (DKM), manufacturing capability and process planning (MCAPP), and product inspection planning (PIP). It collects, stores, and uses experiential knowledge from formal decisional events in the form of set of experience (SOE). This research enlightens the working mechanism of the PIP module, and shows how experiential knowledge related to product inspection can be used during the early stages of product development process. This experiential knowledge is extracted and stored from similar products having some common features and functions. First, the basic description and principles of the approach are introduced, then the prototype version of the system is developed and tested for product inspection planning (PIP) module for the case study, which verifies the feasibility of the proposed approach. The presented system successfully supports smart manufacturing and can play a vital role in Industry 4.0.

Cytowania

  • 1

    CrossRef

  • 0

    Web of Science

  • 1

    Scopus

Autorzy (3)

Cytuj jako

Pełna treść

pobierz publikację
pobrano 6 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY-NC-ND otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
Procedia Computer Science nr 176, strony 2596 - 2604,
ISSN: 1877-0509
Język:
angielski
Rok wydania:
2020
Opis bibliograficzny:
Ahmed M., Sanin C., Szczerbicki E.: Smart Virtual Product Development (SVPD) System to Support Product Inspection Planning in Industry 4.0// Procedia Computer Science -Vol. 176, (2020), s.2596-2604
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.procs.2020.09.310
Weryfikacja:
Politechnika Gdańska

wyświetlono 27 razy

Publikacje, które mogą cię zainteresować

Meta Tagi