| dc.creator |
AYDEMİR, Erdal |
|
| dc.creator |
KORUCA, Halil İbrahim |
|
| dc.date |
2015-08-31T21:00:00Z |
|
| dc.date.accessioned |
2020-10-06T10:49:32Z |
|
| dc.date.available |
2020-10-06T10:49:32Z |
|
| dc.identifier |
97414091-6ec6-4319-b3ed-4ebe7ebd77aa |
|
| dc.identifier |
10.2507/ijsimm14(3)7.299 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/97414091-6ec6-4319-b3ed-4ebe7ebd77aa/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/66996 |
|
| dc.description |
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. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
A NEW PRODUCTION SCHEDULING MODULE USING PRIORITY-RULE BASED GENETIC ALGORITHM |
|
| dc.type |
info:eu-repo/semantics/article |
|