Parallel assembly lines worker assignment and balancing problem: A mathematical model and an artificial bee colony algorithm

Özcan, Uğur; Aydoğan, Emel Kızılkaya; Himmetoğlu, Salih; Delice, Yılmaz

doi:10.1016/j.asoc.2022.109727

Cited by 11 publications

(3 citation statements)

References 73 publications

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“…The workstation [1,4,5] is a public workstation for two assembly lines, and the work-station [1,4] contains only automatic tasks and does not assign workers to the workstation. Workstations [2,3,5,6] contain semi-automatic and manual assembly tasks, which need to assign workers. According to the total manual assembly time of each workstation and the assembly line beat, on the premise of allowing work-ers to move between workstations, the workstation [2,3] is assigned to one worker, while the workstation [5,6] is assigned to another worker, and two worker stations are obtained after balance.…”

Section: Problem Analysismentioning

confidence: 99%

“…Workstations [2,3,5,6] contain semi-automatic and manual assembly tasks, which need to assign workers. According to the total manual assembly time of each workstation and the assembly line beat, on the premise of allowing work-ers to move between workstations, the workstation [2,3] is assigned to one worker, while the workstation [5,6] is assigned to another worker, and two worker stations are obtained after balance. As shown in the yellow box in the figure.…”

Section: Problem Analysismentioning

confidence: 99%

“…Özcan et al [2]considered the compatibility between workers and tasks in par-allel assembly line balancing. The processing time of each task was determined according to the ability of each worker, and the two were considered together when assigning tasks.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic parallel assembly line balancing and worker assignment method

Liu,

Sun,

Zhong

et al. 2024

Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024)

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The manufacturing process requires high-precision machining and assembly, where the degree of automation of assembly is particularly important for production efficiency. Therefore, taking the fuel cell assembly line as an example, this paper proposes an au-tomated parallel assembly line balance and worker allocation method considering the task type in view of the problem of different degrees of automation of parallel assem-bly lines and processes in automated assembly lines. Firstly, a mathematical model is established to minimize the number of workstations and the number of workers, and a distribution method that allows workstations to share workers under the condition of automated assembly line is proposed. Secondly, a hybrid variable neighborhood search genetic algorithm is proposed to solve large-scale problems. Finally, by comparing the solution of the standard study with a variety of algorithms, the actual problem of the fuel cell stack assembly line is at the same time.In this paper, the mathematical model of the assembly line is optimized, the efficiency of the assembly line is improved, and the actual production cost is reduced.

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