Abstract
Scheduling of multi load AGVs in FMS by modified memetic particle swarm optimization algorithm
Highlights
Automated Guided Vehicle systems (AGVs) have been extensively used in flexible manufacturing systems
In present paper scheduling of multi load AGVs for minimum travel and waiting time is proposed by application of a novel modified memetic particle swarm optimization algorithm (MMPSO) and initial solutions developed by Memetic Particle Swarm Optimization Algorithm (MMPSO) and Particle Swarm Optimization (PSO) are compared
An integration of Particle Swarm Optimization Algorithm (PSO) and Memetic Algorithm (MA) as Modified Memetic Particle Swarm Optimization Algorithm (MMPSO) has been applied for finding optimum initial solutions for scheduling of multi load AGVs serving in Flexible Manufacturing System (FMS) and their results were compared with initial solutions of scheduling of AGVs by PSO Algorithm
Summary
Automated Guided Vehicle systems (AGVs) have been extensively used in flexible manufacturing systems. Unit load AGV can transport single load from one work center to another while multi load AGV system is capable of picking up and deliver more than one load at the same time to any work center which increase through material handling system and FMS facility considerably (Ulusoy et al, 1997; Van Der Meer, 2000). From the study of the literature, a potential research gap to schedule multi load AGVs and jobs processed with minimum travel and waiting time at work centers of FMS is observed. An analytical model for simultaneous scheduling of multi load AGVs and jobs in process with minimum travel and waiting time at work centers of FMS is proposed.
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