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Growing Science » International Journal of Industrial Engineering Computations » Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 8 Issue 3 pp. 373-384 , 2017

Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems Pages 373-384 Right click to download the paper Download PDF

Authors: Paolo Renna

DOI: 10.5267/j.ijiec.2016.12.001

Keywords: Controllable process time, Job-shop, Allocation improvements, Workload control, Simulation

Abstract: The research discusses in this paper concerns the improvement allocation policies to reduce the process time in job-shop manufacturing systems. The policies proposed are based on the evaluation of the workload control of the entire manufacturing system. Three policies are proposed: centralized, distributed and proportional. A simulation model is used to test the proposed policies under different conditions as: static and dynamic demand; introduction of machine breakdowns; different level of average manufacturing system utilization. The performance measures are compared to a manufacturing system without policies. The simulation results show that the improvement allocation allows to improve the performance with limited investment (average reduction of process time needed) and how the machine breakdowns and demand changes lead to different better policy. The decision maker can use these results to decide the better policy to use.

How to cite this paper
Renna, P. (2017). Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems.International Journal of Industrial Engineering Computations , 8(3), 373-384.

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Journal: International Journal of Industrial Engineering Computations | Year: 2017 | Volume: 8 | Issue: 3 | Views: 2927 | Reviews: 0

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