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Application of Multi Objective Optimization in Prioritizing and Machine Scheduling: A Mobile Scheduler Toolkit

Sunita Bansal, Manuj Darbari Published in Architecture

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
http:/ijais12-450468
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  1. Sunita Bansal and Manuj Darbari. Article: Application of Multi Objective Optimization in Prioritizing and Machine Scheduling: A Mobile Scheduler Toolkit. International Journal of Applied Information Systems 3(2):24-28, July 2012. BibTeX

    @article{key:article,
    	author = "Sunita Bansal and Manuj Darbari",
    	title = "Article: Application of Multi Objective Optimization in Prioritizing and Machine Scheduling: A Mobile Scheduler Toolkit",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 3,
    	number = 2,
    	pages = "24-28",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

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.

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Keywords

Multi-state, Multi-task, Manufacturing Systems, Performance, Availability, Feasibility, Optimization, Priority Scheduling