Hybrid multiobjective genetic algorithms for integrated dynamic scheduling and routing of jobs and automated-guided vehicle (AGV) in flexible manufacturing systems (FMS) environment

The paper presents an algorithm for integrated scheduling, dispatching, and conflict-free routing of jobs and AGVs in FMS environment using a hybrid genetic algorithm. The algorithm generates an integrated schedule and detail routing paths while optimizing makespan, AGV travel time, and penalty cost...

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Bibliographic Details
Published in:	International journal of advanced manufacturing technology Vol. 81; no. 9-12; pp. 2123 - 2141
Main Authors:	Umar, Umar Ali, Ariffin, M. K. A., Ismail, N., Tang, S. H.
Format:	Journal Article
Language:	English
Published:	London Springer London 01.12.2015 Springer Nature B.V
Subjects:	Automated guided vehicles CAE) and Design Computer-Aided Engineering (CAD Engineering Expert systems Fitness Flexible manufacturing systems Fuel consumption Fuzzy systems Genetic algorithms Industrial and Production Engineering Mechanical Engineering Media Management Multiple objective analysis Original Article Production scheduling Route planning Schedules Scheduling Travel time Hybrid genetic algorithm (HGA) Flexible manufacturing system (FMS) Integrated scheduling AGV dispatching Production planning Machine learning Multiobjective genetic algorithm (MOGA) AGV routing Automatic guided vehicle (AGV)
ISSN:	0268-3768, 1433-3015
Online Access:	Get full text
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