scholarly journals Simulation-Based Optimization for Storage Allocation Problem of Outbound Containers in Automated Container Terminals

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Ning Zhao ◽  
Mengjue Xia ◽  
Chao Mi ◽  
Zhicheng Bian ◽  
Jian Jin
Keyword(s):  
Handling Time ◽  
Optimization Method ◽  
Allocation Problem ◽  
Container Terminals ◽  
Storage Allocation ◽  
Swarm Optimization ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Key Factor ◽  
Outbound Containers

Storage allocation of outbound containers is a key factor of the performance of container handling system in automated container terminals. Improper storage plans of outbound containers make QC waiting inevitable; hence, the vessel handling time will be lengthened. A simulation-based optimization method is proposed in this paper for the storage allocation problem of outbound containers in automated container terminals (SAPOBA). A simulation model is built up by Timed-Colored-Petri-Net (TCPN), used to evaluate the QC waiting time of storage plans. Two optimization approaches, based on Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are proposed to form the complete simulation-based optimization method. Effectiveness of this method is verified by experiment, as the comparison of the two optimization approaches.

scholarly journals A Simulation-Based Optimization Approach for Integrated Port Resource Allocation Problem

2014 ◽  
Vol 26 (3) ◽  
pp. 243-255 ◽  
Author(s):  
Gholamreza Ilati ◽  
Abdorreza Sheikholeslami ◽  
Erfan Hassannayebi
Keyword(s):  
Objective Function Value ◽  
Operating Cost ◽  
Allocation Problem ◽  
Container Terminals ◽  
Optimization Approach ◽  
Berth Allocation ◽  
Arrival Times ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Tidal Variations

Todays, due to the rapid increase in shipping volumes, the container terminals are faced with the challenge to cope with these increasing demands. To handle this challenge, it is crucial to use flexible and efficient optimization approach in order to decrease operating cost. In this paper, a simulation-based optimization approach is proposed to construct a near-optimal berth allocation plan integrated with a plan for tug assignment and for resolution of the quay crane re-allocation problem. The research challenges involve dealing with the uncertainty in arrival times of vessels as well as tidal variations. The effectiveness of the proposed evolutionary algorithm is tested on RAJAEE Port as a real case. According to the simulation result, it can be concluded that the objective function value is affected significantly by the arrival disruptions. The result also demonstrates the effectiveness of the proposed simulation-based optimization approach.

Simulation-Based Optimization of Electricity Demand Response for Sustainable Manufacturing Systems

2014 ◽  
Author(s):  
Leah Cuyler ◽  
Zeyi Sun ◽  
Lin Li
Keyword(s):  
Demand Response ◽  
Manufacturing Systems ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Optimization Method ◽  
Electricity Demand ◽  
System Throughput ◽  
Commercial Building ◽  
Simulation Based ◽  
Simulation Based Optimization

Electricity demand response is considered a promising tool to balance the electricity demand and supply during peak periods. It can effectively reduce the cost of building and operating those peaking power generators that are only run a few hundred hours per year to satisfy the peak demand. The research on the electricity demand response implementation for residential and commercial building sectors has been very mature. Recently, it has also been extended to the manufacturing sector. In this paper, a simulation-based optimization method is developed to identify the optimal demand response decisions for the typical manufacturing systems with multiple machines and buffers. Different objectives, i.e. minimizing the power consumption under the constraint of system throughput, and maximize the overall earnings considering the tradeoff between power demand reduction and potential production loss, are considered. Different energy control decisions are analyzed and compared regarding the potential influence on the throughput of manufacturing system due to the different control actions adopted by throughput bottleneck machine.

Solder parameter sensitivity for CSP life-time prediction using simulation-based optimization method

2002 ◽  
Vol 25 (4) ◽  
pp. 318-325 ◽  
Author(s):  
B. Vandevelde ◽  
E. Beyne ◽  
K.G.Q. Zhang ◽  
J.F.J.M. Caers ◽  
D. Vandepitte ◽  
...  
Keyword(s):  
Life Time ◽  
Optimization Method ◽  
Parameter Sensitivity ◽  
Time Prediction ◽  
Simulation Based ◽  
Simulation Based Optimization
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