International Journal of Applied Information Systems |
Foundation of Computer Science (FCS), NY, USA |
Volume 3 - Number 2 |
Year of Publication: 2012 |
Authors: Sunita Bansal, Manuj Darbari |
http:/ijais12-450468 |
Sunita Bansal, Manuj Darbari . Application of Multi Objective Optimization in Prioritizing and Machine Scheduling: A Mobile Scheduler Toolkit. International Journal of Applied Information Systems. 3, 2 ( July 2012), 24-28. DOI=http:/ijais12-450468
This paper presents a new multi objective algorithm to determine optimal configurations of multi-state, multi-task production systems based on availability analysis. A multi-task production system is one in which different subsets of machines can be used to perform distinct functions or tasks. The performance of a manufacturing system is greatly influenced by its configuration. Availability can be used in the context of multi-task production systems to select a particular configuration that maximizes the probability of meeting a required demand for each specific task, or the expected productivity for each task. A particular configuration may not simultaneously maximize the probability of meeting demand for each of the individual tasks, and thus, the problem is treated as a multi-objective optimization problem. The solution to this problem is a set of promising solutions that provides a trade-off among the different objective functions considered.