Design of reconfigurable machining lines: A novel comprehensive optimisation method

Autor:	Olga Battaïa, Nikolai Guschinsky, Alexandre Dolgui
Rok vydání:	2021
Předmět:	Set (abstract data type) Machining Position (vector) Heuristic (computer science) Computer science Order (business) Mechanical Engineering Control engineering Industrial and Manufacturing Engineering
Zdroj:	CIRP Annals. 70:393-398
ISSN:	0007-8506
DOI:	10.1016/j.cirp.2021.04.088
Popis:	We present a novel comprehensive optimization model for designing reconfigurable machining lines. Due to the proposed fine mathematical modelling, it is possible to optimize simultaneously the whole set of machines and machining modules as well as their cutting parameters, their configuration that will be used for processing of each part and part position at each machine. The experimental results show that the proposed optimization approach substantially outperforms the existing heuristic design method and therefore it can be used by the designers in order to reduce the total system cost and improve the efficiency of reconfigurable machining lines.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::59c171db8100fc6dc8a0fe23a258a8a3 https://doi.org/10.1016/j.cirp.2021.04.088 Zobrazit plný text záznamu Full Text from ScienceDirect