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A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM.

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Title: A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM.
Authors: Aydemir, E.1 erdalaydemir@sdu.edu.tr, Koruca, H. I.1 halilkoruca@sdu.edu.tr
Source: International Journal of Simulation Modelling (IJSIMM). Sep2015, Vol. 14 Issue 3, p450-462. 13p.
Subjects: Production scheduling, Genetic algorithms, Mathematical functions, Mathematical optimization, Simulation methods & models
Abstract: Production scheduling is an important function that determines the efficiency and productivity of a production system. Many optimization methods, techniques, tools, and heuristics have been used to solve production scheduling problems, accordingly priority rules are implemented for customers' orders in real-world applications. Simulations and heuristic methods are quite useful for making decisions, and they are used mostly to design and improve production systems by reducing their complexity. In this study, a Priority Rule-Based Genetic Algorithm Scheduling (PRGA-Sched) module was developed to provide shorter total completion time in production scheduling. The module was integrated with the Faborg-Sim simulation tool. As a case study, a heating boiler manufacturing system was analyzed and simulated with six products and customers' orders by using production data from the PRGA-Sched module in Faborg-Sim. The results showed that a shorter total completion time is obtained and saved than the initial situation by via PRGA-Sched module. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM.
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  Data: <searchLink fieldCode="AR" term="%22Aydemir%2C+E%2E%22">Aydemir, E.</searchLink><relatesTo>1</relatesTo><i> erdalaydemir@sdu.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Koruca%2C+H%2E+I%2E%22">Koruca, H. I.</searchLink><relatesTo>1</relatesTo><i> halilkoruca@sdu.edu.tr</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Simulation+Modelling+%28IJSIMM%29%22">International Journal of Simulation Modelling (IJSIMM)</searchLink>. Sep2015, Vol. 14 Issue 3, p450-462. 13p.
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  Data: <searchLink fieldCode="DE" term="%22Production+scheduling%22">Production scheduling</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+functions%22">Mathematical functions</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Production scheduling is an important function that determines the efficiency and productivity of a production system. Many optimization methods, techniques, tools, and heuristics have been used to solve production scheduling problems, accordingly priority rules are implemented for customers' orders in real-world applications. Simulations and heuristic methods are quite useful for making decisions, and they are used mostly to design and improve production systems by reducing their complexity. In this study, a Priority Rule-Based Genetic Algorithm Scheduling (PRGA-Sched) module was developed to provide shorter total completion time in production scheduling. The module was integrated with the Faborg-Sim simulation tool. As a case study, a heating boiler manufacturing system was analyzed and simulated with six products and customers' orders by using production data from the PRGA-Sched module in Faborg-Sim. The results showed that a shorter total completion time is obtained and saved than the initial situation by via PRGA-Sched module. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Simulation Modelling (IJSIMM) is the property of DAAAM International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.2507/IJSIMM14(3)7.299
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        Text: English
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      – SubjectFull: Production scheduling
        Type: general
      – SubjectFull: Genetic algorithms
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      – SubjectFull: Mathematical functions
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      – SubjectFull: Mathematical optimization
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              Text: Sep2015
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