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

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

• Type: Conference
• Year: 2005
• Where: GECCO
• Authors: Keshav P. Dahal, Stuart Galloway, Graeme M. Burt, Jim R. McDonald, Ian Hopkins
• Keywords: Effective Operational Management, GECCO 2005, Port, Process Scheduling Occur