A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS

Reddy, B. Siva Prasad; Rao, C.S.P.

doi:10.1007/s00170-005-0223-6

Cited by 141 publications

(79 citation statements)

References 11 publications

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“…1 shows the dedicated FMS simulated in this study. A similar layout is found in Reddy and Rao [10]. Two groups of 10 parts are defined.…”

Section: The Flexible Manufacturing Systemmentioning

confidence: 94%

FMS performance under balancing machine workload and minimizing part movement rules

Pereira¹

2011

Int. j. simul. model.

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A simulation model is developed to evaluate the performance of a flexible manufacturing system with respect to time in system. The new rule to assign parts to machine-tools we propose, OOM (Only One Machine), designed to minimize parts movements performs poorer than WINQ (Work In Queue), a rule directed at balancing machine workload. Different numbers of automated guided vehicles (AGV) produce significantly different results with the best performance resulting with five AGVs. Three AGVs are too few to handle the transportation requirements, whereas seven may, to some extent, increase AGV blockage. The number of parts that can be entirely processed on one single machine is found to impact performance, but the impact is not consistent across the experimental conditions. Three rules to sequence parts to be processed are found to have a moderate impact when OOM assignment is employed, but have no impact under the WINQ assignment rule.

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“…1 shows the dedicated FMS simulated in this study. A similar layout is found in Reddy and Rao [10]. Two groups of 10 parts are defined.…”

Section: The Flexible Manufacturing Systemmentioning

confidence: 94%

FMS performance under balancing machine workload and minimizing part movement rules

Pereira¹

2011

Int. j. simul. model.

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“…Smith classified the literature on the use of discrete event simulation for manufacturing systems mainly into three primary classes such as manufacturing system design, manufacturing systems operations and simulation package developments for manufacturing systems applications [16]. Reddy and Rao addressed multi-objective optimization of machines and AGVs in an FMS using a hybrid genetic algorithm on different FMS layouts configurations and some of the layouts are considered in the present study [17]. Haijun et al modelled a general steel logistics centre based on the Automod simulation platform by using simulation technique and then validated the same [18].…”

Section: Literature Reviewmentioning

confidence: 99%

Flexible manufacturing systems modelling and performance evaluation using AutoMod

Reddy¹,

Rao²

2011

Int. j. simul. model.

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In recent times flexible manufacturing systems emerged as a powerful technology to meet the continuous changing customer demands. Increase in the performance of flexible manufacturing systems is expected as a result of integration of the shop floor activities such as machine and vehicle scheduling. The authors made an attempt to integrate machine and vehicle scheduling with an objective to minimize the makespan using Automod. Automod is a discrete event simulation package used to model and simulate a wide variety of issues in automated manufacturing systems. The key issues related to the design and operation of automated guided vehicles such as flow path layout, number of vehicles and traffic control problems are considered in the study. The performance measures like throughput, machine and vehicle utilization are studied for different job dispatching and vehicle assignment rules in different flexible manufacturing system configurations.

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“…Finally, it is worth noting that all the contributions address single objective optimization. However, Reddy and Rao (2006) recently solved a multi-objective integrated scheduling problem in a flexible manufacturing environment using evolutionary algorithms.…”

Section: Assignment Scheduligmentioning

confidence: 99%

Integral Approaches to Integrated Scheduling

Khayat¹

2007

Multiprocessor Scheduling, Theory and Applications

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A hybrid multi-objective GA for simultaneous scheduling of machines and AGVs in FMS

Cited by 141 publications

References 11 publications

FMS performance under balancing machine workload and minimizing part movement rules

FMS performance under balancing machine workload and minimizing part movement rules

Flexible manufacturing systems modelling and performance evaluation using AutoMod

Integral Approaches to Integrated Scheduling

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