A case study of process facility optimization using discrete event simulation and genetic algorithm

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Optimization problems such as resource allocation, job-shop scheduling, equipment utilization and process scheduling occur in a broad range of processing industries. This paper presents modeling, simulation and optimization of a port facility such that effective operational management is obtained. A GA base approach has been integrated with the port system model to optimize its operation. A case study of bulk material port handling systems is considered. Categories and Subject Descriptors I.6 [Simulation and Modeling]: Discrete event General Terms: Algorithms, Management, Design

Keshav P. Dahal, Stuart Galloway, Graeme M. Burt,

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Effective Operational Management | GECCO 2005 | Port | Process Scheduling Occur |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	GECCO
Authors	Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, Jim R. McDonald, Ian Hopkins

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A case study of process facility optimization using discrete event simulation and genetic algorithm

Effective Operational Management | GECCO 2005 | Port | Process Scheduling Occur |

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