An improved flower pollination algorithm for solving a Type-II U-shaped assembly line balancing problem with energy consideration

Zhang, Beikun; Xu, Liyun

doi:10.1108/aa-07-2019-0144

Cited by 7 publications

(13 citation statements)

References 37 publications

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“…Nourmohammadi et al (2019) proposed a water flow inspired algorithm for solving UALBP. Zhang and Xu (2020) considered the energy cost in objective functions and solved UALBP using an improved flower pollination algorithm. Yılmaz (2020a) produced a robust optimizatoin for the U-shaped assembly line balancing problem with worker assignment in case that the processing times of the tasks are uncertain.…”

Section: Literature Reviewmentioning

confidence: 99%

Solving stochastic multi-manned U-shaped assembly line balancing problem using differential evolution algorithm

Zakaraia

Zaher

Ragaa

2022

Int. J. Prod. Manag. Eng.

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The U-shaped assembly lines help to have more flexibility than the straight assembly lines, where the operators can perform tasks in both sides of the line, the entrance and the exit sides. Having more than one operator in any station of the line can reduce the line length and thereby affects the number of produced products. This paper combines the U-shaped assembly line balancing problem with the multi-manned assembly line balancing problem in one problem. In addition, the processing times of the tasks are considered as stochastic, where they are represented as random variables with known means and variances. The problem is formulated as a mixed-integer linear programming and the cycle time constraints are formulated as chance-constraints. The proposed algorithm for solving the problem is a differential evolution algorithm. The parameter of the algorithm is optimized using experimental design and the computational results are done on 71 adapted problems selected from well-known benchmarks.

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Section: Literature Reviewmentioning

confidence: 99%

Solving stochastic multi-manned U-shaped assembly line balancing problem using differential evolution algorithm

Zakaraia

Zaher

Ragaa

2022

Int. J. Prod. Manag. Eng.

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“…The robot energy consumption was evaluated in order to find the related carbon emissions. B. Zhang and Xu [153] proposed a flower pollination-based algorithm to minimize both the smoothness index and energy consumption.…”

Section: Assembly Linementioning

confidence: 99%

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

Renna

Materi

2021

Applied Sciences

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Climate change mitigation, the goal of reducing CO2 emissions, more stringent regulations and the increment in energy costs have pushed researchers to study energy efficiency and renewable energy sources. Manufacturing systems are large energy consumers and are thus responsible for huge greenhouse gas emissions; for these reasons, many studies have focused on this topic recently. This review aims to summarize the most important papers on energy efficiency and renewable energy sources in manufacturing systems published in the last fifteen years. The works are grouped together, considering the system typology, i.e., manufacturing system subclasses (single machine, flow shop, job shop, etc.) or the assembly line, the developed energy-saving policies and the implementation of the renewable energy sources in the studied contexts. A description of the main approaches used in the analyzed papers was discussed. The conclusion reports the main findings of the review and suggests future directions for the researchers in the integration of renewable energy in the manufacturing systems consumption models.

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“…Other research also discussed the U-Shaped Assembly Line Balancing (UALB) problem with energy consideration. 23 The U-shaped layout design requires fewer efforts in handling the inventory and storage. Companies that implemented U-shaped assembly lines managed to utilise their time better, because they spend lesser time in their production activity.…”

Section: Alb With Energy Consideration Variantmentioning

confidence: 99%

“…40 Researchers that had published the related papers are provided in references. 8,20,23,27–34,40–42…”

Section: Optimisation Objectives In Alb With Energy Considerationmentioning

confidence: 99%

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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An improved flower pollination algorithm for solving a Type-II U-shaped assembly line balancing problem with energy consideration

Cited by 7 publications

References 37 publications

Solving stochastic multi-manned U-shaped assembly line balancing problem using differential evolution algorithm

Solving stochastic multi-manned U-shaped assembly line balancing problem using differential evolution algorithm

A Literature Review of Energy Efficiency and Sustainability in Manufacturing Systems

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

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