Simultaneous balancing and buffer allocation decisions for the design of mixed-model assembly lines with parallel workstations and stochastic task times

Tiacci, Lorenzo

doi:10.1016/j.ijpe.2015.01.022

Cited by 61 publications

(10 citation statements)

References 45 publications

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“…Yang et al [12] proposed to efficiently optimize a changed production layout and configuration using a modelling and optimization method based on DES. Tiacci [13] presented a novel approach combining simulation techniques and a genetic algorithm approach for mixed-model assembly line balancing problems with stochastic task times, workstations and buffers between parallel workstations. Li et al [14] aimed overcome the defects of bottleneck recognition and scheduling optimization in production line through simulation.…”

Section: Literature Surveymentioning

confidence: 99%

A Simulation Approach for Transition to JIT Production System

Kilic¹,

Erkayman²

2021

Int. j. simul. model.

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Consumption is increasing day by day due to rapid developments in technology and increasing world population. Companies should review their production processes in order to keep up with the consumption rate and increase their competitiveness as well as profit margins. This research shows a case study of simulation application to improve solar panel manufacturing process. The aim is to achieve goals such as increasing system efficiency, reducing inventory and shortening delivery time. Efficient manufacturing process design may reduce work-in-process (WIP), waste, rework and faults, which may reduce the total number of products and yields an increase in the system cost. Inefficiency points were determined in the process based on the obtained observations of the manufacturing system. Various scenarios have been proposed to design such an efficient production system. According to the proposed scenarios, an increase in the utilization rates of machinery, personnel and the total number of final products has been achieved.

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Section: Literature Surveymentioning

confidence: 99%

A Simulation Approach for Transition to JIT Production System

Kilic¹,

Erkayman²

2021

Int. j. simul. model.

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“…For the task assignment constraints, several authors took into account these restrictions (Özcan and Toklu, 2009;Tiacci, 2015b;Kara et al, 2011). These authors considered task assignment constraints in regular, parallel, and two-sided mixed-model assembly lines.…”

Section: Assignment Constraintmentioning

confidence: 99%

“…Recent decades have shown that mixed-model assembly line balancing (MMALB) problem is treated as a specific case of GALBP. MMALB problem has been one of the major interesting research topics because it is capable of assembling different models simultaneously, as well as handling product demands with product varieties (Tiacci, 2015b). Besides, MMALB is regularly used because its model flexibility changes to minimize inventories and maintain a constant flow of materials (Yagmahan, 2011).…”

Section: Introductionmentioning

confidence: 99%

Recent trend in mixed-model assembly line balancing optimization using soft computing approaches

Razali

Kamarudin

Rashid

et al. 2019

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Purpose This paper aims to review and discuss four aspects of mixed-model assembly line balancing (MMALB) problem mainly on the optimization angle. MMALB is a non-deterministic polynomial-time hard problem which requires an effective algorithm for solution. This problem has attracted a number of research fields: manufacturing, mathematics and computer science. Design/methodology/approach This paper review 59 published research works on MMALB from indexed journal. The review includes MMALB problem varieties, optimization algorithm, objective function and constraints in the problem. Findings Based on research trend, this topic is still growing with the highest publication number observed in 2016 and 2017. The review indicated that the future research direction should focus on human factors and sustainable issues in the problem modeling. As the assembly cost becomes crucial, resource utilization in the assembly line should also be considered. Apart from that, the growth of new optimization algorithms is predicted to influence the MMALB optimization, which currently relies on well-established algorithms. Originality/value The originality of this paper is on the research trend in MMALB. It provides the future direction for the researchers in this field.

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“…This behaviour can lead managers to find trade-offs between opposing performance effects or to find the best solution regarding an all-encompassing measure of system performance, e.g. the trade-off in terms of profit between the investment and inventory-holding costs of higher buffer capacity and the added revenue resulting from higher throughput created by the extra buffer capacity (see, e.g., [75,112,113]).…”

Section: Managerial Implications and Opportunities For Future Researchmentioning

confidence: 99%

Serial production line performance under random variation: Dealing with the ‘Law of Variability’

Romero-Silva

Marsillac

Shaaban

et al. 2019

Journal of Manufacturing Systems

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Simultaneous balancing and buffer allocation decisions for the design of mixed-model assembly lines with parallel workstations and stochastic task times

Cited by 61 publications

References 45 publications

A Simulation Approach for Transition to JIT Production System

A Simulation Approach for Transition to JIT Production System

Recent trend in mixed-model assembly line balancing optimization using soft computing approaches

Serial production line performance under random variation: Dealing with the ‘Law of Variability’

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