A Systematic Review of Approaches for Flexible Job Shop Scheduling with Genetic Algorithm

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.