A survey of the parallel assembly lines balancing problem

Aguilar, Harry; García‐Villoria, Alberto; Pastor, Rafael

doi:10.1016/j.cor.2020.105061

Cited by 30 publications

(16 citation statements)

References 88 publications

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“…This safeguarding the system against failures in one of its components. Therefore, parallel systems consist of multiple lines situated in such a way as to enhance system efficiency through the use of shared resources (Aguilar et al, 2020). Integrating these parallel work lines is a common and practical approach for addressing bottlenecks and balancing assembly lines.…”

Section: Parallel Production Systemmentioning

confidence: 99%

“…In this line of thought, its importance lies in its direct impact on customer satisfaction, the company's reputation, and its competitiveness in the market (Aguilar et al, 2020;Skalli et al, 2022). That's why the constant pursuit of quality contributes to customer loyalty, reducing operating costs, increasing efficiency, and ultimately, the sustainable success of the organization (Izquierdo Espinoza, 2021;Terán Ayay et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

Fontalvo Herrera,

Banquez Maturana,

Mendoza Villero

2024

Prod.

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Paper aims: This research establishes a method to evaluate a concurrent production system in parallel, through new operating curves of six sigma metrics.Originality: Se proposes a novel method that provides criteria to monitor the performance of a production system in changing production conditions.Research method: This research was approached from a logical positivist epistemological model, through a heuristic analysis and with a rational propositional approach to establish the characterization of the model, the evaluation metrics and propose the new operation curves. Main findings:The results obtained show that as the sigma level increases in the global system (4.17), the level of defects per million opportunities decreases considerably and the performance increases at levels close to the main objective of Six Sigma, all this with a decrease of defects from 20.657 to 1.317, generating a high quality of 99.99% and achieving a good performance according to the established quality criteria. Implications for theory and practice:This research provides a new tool where they articulate concepts of six sigma and operating curves to monitor a productive system, which allows in a practical way to determine the real capabilities in terms of quality performance of a system.

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Section: Parallel Production Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

Fontalvo Herrera,

Banquez Maturana,

Mendoza Villero

2024

Prod.

View full text Add to dashboard Cite

show abstract

“…, 2010b; Kucukkoc and Zhang, 2014) and U-type (Kucukkoc and Zhang, 2015). A detailed literature review on PALBP can be found in the study by Aguilar et al. (2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Additionally, there are studies in the literature for different layouts of parallel lines such as two-sided ( € Ozcan et al, 2010b;Kucukkoc and Zhang, 2014) and U-type (Kucukkoc and Zhang, 2015). A detailed literature review on PALBP can be found in the study by Aguilar et al (2020).…”

Section: Parallel Assembly Line Balancing Problemmentioning

confidence: 99%

Multi-objective optimization of cycle time and energy consumption in parallel robotic assembly lines using a discrete firefly algorithm

Soysal-Kurt

İşleyen

2022

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PurposeAssembly lines are one of the places where energy consumption is intensive in manufacturing enterprises. The use of robots in assembly lines not only increases productivity but also increases energy consumption and carbon emissions. The purpose of this paper is to minimize the cycle time and total energy consumption simultaneously in parallel robotic assembly lines (PRAL).Design/methodology/approachDue to the NP-hardness of the problem, A Pareto hybrid discrete firefly algorithm based on probability attraction (PHDFA-PA) is developed. The algorithm parameters are optimized using the Taguchi method. To evaluate the results of the algorithm, a multi-objective programming model and a restarted simulated annealing (RSA) algorithm are used.FindingsAccording to the comparative study, the PHDFA-PA has a competitive performance with the RSA. Thus, it is possible to achieve a sustainable PRAL through the proposed method by addressing the cycle time and total energy consumption simultaneously.Originality/valueTo the best knowledge of the authors, this is the first study addressing energy consumption in PRAL. The proposed method for PRAL is efficient in solving the multi-objective balancing problem.

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“…Decisions about assembly task assignments are made through assembly line balancing (ALB) techniques whose key objective is to obtain a balanced assembly line by assigning assembly tasks to each worker as evenly as possible. The existing studies on ALB problems are well summarized in survey papers [1][2][3][4]. Most existing studies on ALB problems deal with a static line-balancing solution with which the workers perform a pre-assigned set of assembly tasks from cycle to cycle.…”

Section: Introductionmentioning

confidence: 99%

A New Self-Balancing Assembly Line Based on Collaborative Ant Behavior

Koo

2020

Applied Sciences

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In most mass-production assembly lines, workers perform a set of tasks repetitively predefined by assembly line balancing techniques. The static task assignment often leads to low productivity when the assembly system faces disruptions or uncertainties such as machine breakdown and uneven worker capabilities. The idea of bucket brigades (BB) has been introduced to address the static assignment problems where cooperative behavior of ants is applied to flow line control. This paper examines possible efficiency losses associated with the existing BB-based assembly cell and presents an improved version for assembly cells under uncertain environments. The new system attempts to enhance productivity by assigning assembly tasks to workers dynamically and possibly adding buffers for decoupling consecutive workers. The proposed assembly system is evaluated through simulation experiments under various manufacturing environments. The experimental results show that the new system provides higher productivity than the naïve BB-based assembly cell as well as traditional assembly cells, especially for uncertain assembly environments.

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A survey of the parallel assembly lines balancing problem

Cited by 30 publications

References 88 publications

Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

Performance of a concurrent parallel production system through new operating curves of Six Sigma metrics

Multi-objective optimization of cycle time and energy consumption in parallel robotic assembly lines using a discrete firefly algorithm

A New Self-Balancing Assembly Line Based on Collaborative Ant Behavior

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