Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems
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, dist...
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| Format: | Article |
| Language: | English |
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Growing Science
2017-06-01
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| Series: | International Journal of Industrial Engineering Computations |
| Subjects: | |
| Online Access: | http://www.growingscience.com/ijiec/Vol8/IJIEC_2016_34.pdf |
| _version_ | 1819056546301083648 |
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| author | Paolo Renna |
| author_facet | Paolo Renna |
| author_sort | Paolo Renna |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T13:25:08Z |
| format | Article |
| id | doaj.art-cd108b330a504ff3bb4ce8a56a9bb525 |
| institution | Directory Open Access Journal |
| issn | 1923-2926 1923-2934 |
| language | English |
| last_indexed | 2024-12-21T13:25:08Z |
| publishDate | 2017-06-01 |
| publisher | Growing Science |
| record_format | Article |
| series | International Journal of Industrial Engineering Computations |
| spelling | doaj.art-cd108b330a504ff3bb4ce8a56a9bb5252022-12-21T19:02:29ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342017-06-018337338410.5267/j.ijiec.2016.12.001Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systemsPaolo RennaThe 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.http://www.growingscience.com/ijiec/Vol8/IJIEC_2016_34.pdfControllable process timeJob-shopAllocation improvementsWorkload controlSimulation |
| spellingShingle | Paolo Renna Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems International Journal of Industrial Engineering Computations Controllable process time Job-shop Allocation improvements Workload control Simulation |
| title | Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| title_full | Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| title_fullStr | Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| title_full_unstemmed | Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| title_short | Allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| title_sort | allocation improvement policies to reduce process time based on workload evaluation in job shop manufacturing systems |
| topic | Controllable process time Job-shop Allocation improvements Workload control Simulation |
| url | http://www.growingscience.com/ijiec/Vol8/IJIEC_2016_34.pdf |
| work_keys_str_mv | AT paolorenna allocationimprovementpoliciestoreduceprocesstimebasedonworkloadevaluationinjobshopmanufacturingsystems |