Incorporating shifting bottleneck identification in assembly line balancing problem using an artificial immune system approach

Khalid, Mohd Nor Akmal; Yusof, Umi Kalsom

doi:10.1007/s10696-020-09389-1

Cited by 2 publications

(2 citation statements)

References 38 publications

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“…The assembly-line type-E balance problem is to find a set number of workstations and cycle time to maximize the balance efficiency of the assembly line. The methods to solve the assembly-line, type-E balance problem mainly include precise algorithms [32,33] and intelligent algorithms [34,35]. In 2011, Wei [32] first studied the assembly-line, type-E balance problem and used the LINGO software to solve the exact solution.…”

Section: Introductionmentioning

confidence: 99%

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Balancing a U-Shaped Assembly Line with a Heuristic Algorithm Based on a Comprehensive Rank Value

Jiao

Cao

et al. 2022

Sustainability

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An aim of sustainable development of the manufacturing industry is to reduce the idle time in the product-assembly process and improve the balance efficiency of the assembly line. A priority relationship diagram is obtained on an existing assembly line in the laboratory by measuring the task time of the chassis model, analyzing the product structure, and designing the assembly process. The type-E balance model of the U-shaped assembly line is established and solved by a heuristic algorithm based on the comprehensive rank value. The type-E balance problem of the U-shaped assembly-line plan of the chassis model is obtained, and the production line layout is planned. Combining instances to compare the results of the heuristic algorithm, genetic algorithm, and simulated annealing, comparison of the results shows that the degree of load balancing is slightly higher than genetic algorithm and simulated annealing. The balance efficiencies obtained by the heuristic algorithm are smaller than the genetic algorithm and simulated annealing. The calculation time is significantly less than the genetic algorithm and simulated annealing, and the scale of instances has little effect on the calculation time. The results verify that the model and the algorithm are effective. This study provides a reference for the entire process of the U-shaped assembly-line, type-E balance and the assembly products in laboratories.

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Section: Introductionmentioning

confidence: 99%

“…Zacharia [34] proposed a heuristic algorithm to solve the fuzzy, assembly-line, type-E balance problem. Mohd [35] used the swarm of immune cells alogorithm to solve the assembly-line, type-E balance problem with resource constraints and bottleneck identification.…”

Section: Introductionmentioning

confidence: 99%

Balancing a U-Shaped Assembly Line with a Heuristic Algorithm Based on a Comprehensive Rank Value

Jiao

Cao

et al. 2022

Sustainability

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Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System

Chen

et al. 2022

Applied Sciences

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Bottleneck identification is of great interest in discrete manufacturing fields, as they limit the system’s throughput. However, the bottlenecks are difficult to accurately identify due to the instability and complexity of discrete manufacturing systems. This paper proposes a dynamic bottleneck identification method (DBI-BS) that is based on effective buffers and fine-grained machine states to identify bottlenecks accurately. First, the complex manufacturing system (CMS) with strong coupling between elements is decoupled into several independent parts under the guidance of the effective buffer theory. Then, the machine activity duration method is improved through further fine-grained division, and the machine states are described by the timing flow model. The method to quantify the degree of bottleneck that restricts the system throughput (TH) is proposed on the basis of the turning point theory, and the one-to-one mapping relationship between the simulated and authentic complex manufacturing systems is also studied. Simulation results show that the DBI-BS can effectively identify dynamic bottlenecks in complex manufacturing processes, and the decoupling of complex systems can effectively improve the accuracy of dynamic bottleneck identification.

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Incorporating shifting bottleneck identification in assembly line balancing problem using an artificial immune system approach

Cited by 2 publications

References 38 publications

Balancing a U-Shaped Assembly Line with a Heuristic Algorithm Based on a Comprehensive Rank Value

Balancing a U-Shaped Assembly Line with a Heuristic Algorithm Based on a Comprehensive Rank Value

Dynamic Bottleneck Identification of Manufacturing Resources in Complex Manufacturing System

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