A review on optimisation of part quality inspection planning in a multi-stage manufacturing system

Autor: Mehrdad Mohammadi, Jean-Yves Dantan, Reza Tavakkoli-Moghaddam, Ali Siadat, Mohammad Rezaei-Malek
Přispěvatelé: University of Tehran, IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), Laboratoire de Conception Fabrication Commande (LCFC), Université de Lorraine (UL)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)
Rok vydání: 2018
Předmět:
Zdroj: International Journal of Production Research
International Journal of Production Research, Taylor & Francis, 2018, 57 (15-16), pp.4880-4897. ⟨10.1080/00207543.2018.1464231⟩
ISSN: 1366-588X
0020-7543
DOI: 10.1080/00207543.2018.1464231
Popis: International audience; In multi-stage manufacturing systems, optimisation of part quality inspection planning (PQIP) problem means to determine the optimal time, place and extent of inspection activities for assessing the significant quality characteristics of products while maximising the system efficiency. An inspection activity is capable of detecting the produced defects partially and accordingly prevents further processing of them in downstream and more importantly avoids them to reach customers. In this paper, the existing researches on the optimisation of the part quality inspection are surveyed from the viewpoint of the considered production system characteristics; the applied modelling approaches and solution methodologies. This review found that although numerous works have been already done on the PQIP, the development of multi-objective optimisation frameworks considering real production constraints under parameters uncertainty is necessary. Also, by the Industry 4.0 trend, the creation of integrated models aiming to plan the inspection, maintenance and production activities simultaneously, seems to be an important potential future research direction.
Databáze: OpenAIRE