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

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Bibliographic Details
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]
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Database:	Engineering Source

Description
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]
ISSN:	17264529
DOI:	10.2507/IJSIMM14(3)7.299