Double-sided assembly line optimization using witness simulation

Hamzas, M. F. M. A.; Bareduan, Salleh Ahmad; Bahari, M. S.; Zakaria, Syed Muhammad Mamduh Syed; Zakaria, Mohd Hafiz

doi:10.1063/1.5118159

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…One more reason was the human error during the breakdown maintenance. We considered a +/−5% error and inventory was arranged considering these possible discrepancies [67,68]. It is evident that the difference is lower than the considered error which shows the effectiveness of the employed methodology.…”

Section: Discussion and Analysismentioning

confidence: 99%

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Khan

Butt

Mebrahtu

et al. 2020

Designs

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Implementing business and manufacturing process reengineering is challenging and poses major issues. The dependence issues between process functions during the implementation phase are the main reason for the high failure rate of process reengineering. The incompetence in identifying the dependence makes existing business process reengineering approaches static for modern business and manufacturing process structures. This paper has implemented a new process reengineering approach called the Khan–Hassan–Butt (KHB) methodology that incorporates the process interdependence algorithm to identify the dependence issues. The KHB method is a hybrid process reengineering approach to identify dependence issues before implementing changes; thus significantly reducing the failure rate of implementing business process reengineering. The KHB method has been implemented in a Bangladesh fabric manufacturing facility. The mapping and verification of the process have been completed using the WITNESS Horizon 22.5 simulation package. The case study has investigated the fabric production process and identified the dependence issues between each function and suggested changes to optimize the process. The outcome has shown significant improvement in production output and process efficiency.

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Section: Discussion and Analysismentioning

confidence: 99%

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Khan

Butt

Mebrahtu

et al. 2020

Designs

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“…In this paper, we take the battery assembly line of new energy vehicle of enterprise Q (as shown in Figure 1) as the specific research object of the discrete manufacturing process, and aim to give the theoretical optimal solution through virtual study before the formal construction of the production line [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Optimisation Study of Discrete Manufacturing Simulation of new Energy Vehiclebattery Packs Abstracts

Zhao,

Zhang,

Liu

et al. 2024

Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17–19, 2023

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In recent years, the number of global new energy vehicles has soared, and production enterprises are facing problems such as increasing market demand and intensifying industry competition. The structural design and balance planning of the battery pack production line determine the output of new energy vehicles. This paper takes the battery pack assembly line of Q enterprise for new energy vehicles as the research object, calculates its capacity and station utilization rate through simulation software, and provides an effective design scheme for the formal production line construction.

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Double-sided assembly line optimization using witness simulation

Cited by 2 publications

References 8 publications

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Analyzing the Effects of Tactical Dependence for Business Process Reengineering and Optimization

Optimisation Study of Discrete Manufacturing Simulation of new Energy Vehiclebattery Packs Abstracts

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