期刊
CIRP ANNALS-MANUFACTURING TECHNOLOGY
卷 68, 期 1, 页码 1-4出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cirp.2019.04.006
关键词
Assembly; Genetic algorithm; Human-robot collaboration
Human-robot collaboration represents a significant evolutionary step in manufacturing. A crucial point is to establish a proper task assignment to combine robot productivity with human flexibility. In this regard, this paper proposes a genetic algorithm to approach the Assembly Line Balancing Problem (ALBP) in the case of human-robot collaborative work. The aim is the minimization of: i) the assembly line cost, evaluated according to the number of workers and equipment on the line, including collaborative robots, ii) the number of skilled workers on the line, iii) the energy load variance among workers, based on their energy expenditures and thus on their physical capabilities and on the level of collaboration with robots. (C) 2019 CIRP. Published by Elsevier Ltd. All rights reserved.
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