| Naslov: | Human-robot collaboration assembly line balancing considering cross-station tasks and the carbon emissions |
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| Avtorji: | ID Li, Y. C. (Avtor)
ID Wang, X. (Avtor) |
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| Datoteke: |  APEM19-1_031-045.pdf (1,09 MB)
MD5: 73888B6BFE40AEB868461EB10D1B5FE4
 https://apem-journal.org/Archives/2024/Abstract-APEM19-1_031-045.html
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| Jezik: | Angleški jezik |
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| Vrsta gradiva: | Članek v reviji |
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| Tipologija: | 1.01 - Izvirni znanstveni članek |
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| Organizacija: | FS - Fakulteta za strojništvo
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| Opis: | With the growth of industrialization, the global manufacturing industry is continually evolving and reforming in the direction of intelligence and green production. Industrial robots have replaced human workers because of the benefit of production efficiency. However, the large-scale application of robots requires a large amount of energy consumption and generates a large amount of CO2, which will lead to energy waste and environmental pollution. In addition, in term of performing some particular tasks, current robot technology cannot achieve the same level of intelligence as human. Therefore, the design trend of assembly lines in industry has shifted from traditional configuration to human-robot collaboration to achieve higher productivity and flexibility. This paper investigates the human-robot collaboration (HRC) assembly line balancing problem, taking cycle time and carbon emission as primary and secondary objectives. A new mixed-integer programming model that features a cross-station design is formulated. A particle swarm algorithm (PSO) with two improvement rules is designed to solve the problems. The comparative experiments on ten benchmark datasets are conducted to assess the performance of the proposed algorithm. The experimental results indicate that the improved particle swarm algorithm is superior to the other two heuristics: simulated annealing (SA) and the late acceptance hill-climbing heuristic (LAHC). |
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| Ključne besede: | assembly line balancing problem, human-robot collaboration, cross-station tasks, carbon emissions, collaborative robot (cobot), particle swarm algorithm, PSA |
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| Status publikacije: | Objavljeno |
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| Verzija publikacije: | Objavljena publikacija |
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| Poslano v recenzijo: | 26.02.2024 |
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| Datum sprejetja članka: | 19.04.2024 |
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| Datum objave: | 29.04.2024 |
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| Založnik: | Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering |
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| Leto izida: | 2024 |
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| Št. strani: | str. 31-45 |
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| Številčenje: | Vol. 19, no. 1 |
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| PID: | 20.500.12556/DKUM-96740  |
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| UDK: | 004.5 |
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| COBISS.SI-ID: | 266213891 |
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| DOI: | 10.14743/apem2024.1.491 |
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| ISSN pri članku: | 1854-6250 |
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| Datum objave v DKUM: | 27.01.2026 |
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| Število ogledov: | 222 |
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| Število prenosov: | 3 |
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| Metapodatki: |    |
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| Področja: | Ostalo
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