Abstract
The increase rate of consumer demands and stiff global competition among firms forced the industry to increase productivity by optimizing the production capacity to meet daily targeted yield. The presence of bottleneck problem, due to several triggering factors, is one of the root cause of low yield. Thus, to improve the yield whilst at the same time reducing the defects rate in the presence of bottle-neck, one need to seek the best model to accurately represent the production process. In this paper, bottle-neck detection algorithm is discussed and utilization rate for simulated setup of 2 different production topologies; series and parallel are discussed in the perspective of bottle-neck occurrence in the workstations being studied. The main aim of the simulation model is to monitor and analyze the system to pinpoint the bottleneck in the system. The scheduling algorithm is integrated in the proposed model in order to control the bottleneck occurrence, thereby, improving the productivity and meeting the targeted yield.
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Change history
20 October 2021
The original version of the chapter was inadvertently published with an incorrect second author name “Zedenka, K.” in Ref. [6] which has now been corrected to “Králová, Z.” and an incorrect URL also corrected. The chapter has been updated with the changes.
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Jamil, A.H., Mahyuddin, M.N., Ibrahim, A.R., Tong, T. (2020). A Bottle Neck Simulation System for a Generic Production Process. In: Jamaludin, Z., Ali Mokhtar, M.N. (eds) Intelligent Manufacturing and Mechatronics. SympoSIMM 2019. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-9539-0_30
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DOI: https://doi.org/10.1007/978-981-13-9539-0_30
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