Please use this identifier to cite or link to this item: http://hdl.handle.net/10266/5145
Title: A Systematic Review of Approaches for Flexible Job Shop Scheduling with Genetic Algorithm
Authors: Verma, Saryu
Supervisor: Arora, Vinay
Keywords: Job Shop Scheduling;Genetic Algorithm;Systematic Review
Issue Date: 3-Aug-2018
Abstract: Scheduling is an act of describing priority of arranging activities to meet certain requirements, objectives and constraints. It is the method of assigning resources to various jobs over time to perform a collection of tasks. Scheduling can be defined as a decision making process with the aim of enhancing one or more objectives. It is concerned with the integrated ordering of operations on various machines. In the process of manufacturing, the scheduling function incorporates with other decision making functions such as materials requirements planning within the plant. The aim of this thesis work is to provide the analysis in the domain of Flexible Job Shop Scheduling by classifying into different categories. The survey has focused on the techniques applied, methodology and tools used in these approaches. The analysis can be done on the basis of the different features and parameters used in different approaches.
URI: http://hdl.handle.net/10266/5145
Appears in Collections:Masters Theses@CSED

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