Eco-friendly multi-skilled worker assignment and assembly line balancing problem

Liu, Rongfan; Liu, Ming; Zheng, Feifeng; Chu, Chengbin

doi:10.1016/j.cie.2020.106944

Cited by 27 publications

(17 citation statements)

References 46 publications

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“…For example, carbon and noise emissions were attained via connection related to the processing time of manpower and robots for the production line. 26 Other related researches were studied by Nilakantan et al, 25 Zhang et al 26 and Liu et al 39…”

Section: Optimisation Objectives In Alb With Energy Considerationmentioning

confidence: 98%

“…43 In addition, lower operational costs could be achieved by the arrangement of manpower in the assembly line. 39 Papers that had discussed the reduction of cost per assembly line together with energy consumption include Janardhanan et al, 33 Liu et al, 39 Zhang et al 40 and Weckenborg and Spengler 43 .…”

Section: Optimisation Objectives In Alb With Energy Considerationmentioning

confidence: 99%

“…43 For research led by Nilakantan et al, the total energy consumption is the energy consumed by robots to perform tasks, multiplied with the robot numbers and divided with the workstation numbers. 27,33,34,42 The formula to studying eco-friendly workers based on energy and energy consumption that equals to power multiplied with time was proposed by Liu et al 39 On the other hand, power was obtained from the worker’s allowance table, where time was determined from the actual processing time per station. 39…”

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

“…27,33,34,42 The formula to studying eco-friendly workers based on energy and energy consumption that equals to power multiplied with time was proposed by Liu et al 39 On the other hand, power was obtained from the worker’s allowance table, where time was determined from the actual processing time per station. 39…”

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

“…Despite only three papers have discussed the method of SALB-I and energy consumptions, 5,22,44 some of them have applied the SALB-II method. 9,39,46,47 There was only one researcher that studied the application of UALB-II. 23 Meanwhile, for the studied period, two papers were discussed on MMALB problem, excluding the robotic MMALB variant.…”

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

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A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms

Ramli

Rashid

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Energy utilisation is one of the global trending issues. Various approaches have been introduced to minimise energy utilisation especially in the manufacturing sector, which is the largest consumer sector. One of the approaches includes the consideration of energy utilisation in the Assembly Line Balancing (ALB) optimisation. This paper reviews the ALB with energy consideration from 2012 to 2020. The selected articles were limited to problems solved using meta-heuristic algorithms. The review mainly focusses on the soft computing aspect such as problem variant, optimisation objectives, energy modelling and optimisation algorithm for ALB with energy consideration. Based on the review, the ALB with energy consideration was able to reduce energy utilisation up to 11.9%. It was found that the contribution in future ALB with energy research will be human-oriented, either social factor consideration in optimisation or energy utilisation modelling for workers. In addition, the effort to introduce an algorithm with efficient performance must be pursued because ALB problems have become more complicated. The findings from this review could assist future researchers to align their research direction with the observed trend. This paper also provides the research gap and research opportunities in the future.

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Section: Optimisation Objectives In Alb With Energy Considerationmentioning

confidence: 98%

Section: Optimisation Objectives In Alb With Energy Considerationmentioning

confidence: 99%

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

Section: Energy Consideration Approaches In Albmentioning

confidence: 99%

See 3 more Smart Citations

A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms

Ramli

Rashid

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Effect of ergonomic aspects on single‐ and multiproduct assembly‐line balancing problems

Giridhar,

Panicker

2024

Hum Ftrs & Erg Mfg Svc

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Incorporating ergonomic considerations into an assembly‐line balancing problem (ALBP) enhances productivity and minimizes ergonomic concerns. The assembly process, characterized by repetitive motions and handling numerous components, can lead to worker overload. Consequently, the inclusion of ergonomic aspects results in an appropriate distribution of assembly operations and relative workloads. This study investigates a multi‐objective ALBP aimed at minimizing the number of workstations, overall skill level required, and variance in workers' energy expenditure across workstations. To address the ALBP while considering the ergonomic aspects, this study proposes an approach based on the non‐dominated sorting genetic algorithm II (NSGA‐II) and multi‐objective simulated annealing (MOSA) using Pareto optimality. A comparative analysis of the NSGA‐II and MOSA is conducted in single‐ and multiproduct production scenarios, and a computational study involving various factors is performed to identify the dominant algorithm. The computational analysis indicates that the runtime performance of MOSA is 73.287% better than that of NSGA‐II; therefore, MOSA outperforms NSGA‐II. This study aims at applying scientific knowledge concerning manufacturing ergonomics to assist manufacturing industries in enhancing their productivity.

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Production Planning in a Seru Production System, Considering Heterogeneity to Balance Production Times and Minimize Energy Consumption

Forero

Guío

2021

Production Research

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Eco-friendly multi-skilled worker assignment and assembly line balancing problem

Cited by 27 publications

References 46 publications

A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms

A review of assembly line balancing optimisation with energy consideration using meta-heuristic algorithms

Effect of ergonomic aspects on single‐ and multiproduct assembly‐line balancing problems

Production Planning in a Seru Production System, Considering Heterogeneity to Balance Production Times and Minimize Energy Consumption

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