Synchronized Loading and Unloading Containers Method Based on Simultaneous Hatches Operations

2012 ◽  
Vol 201-202 ◽  
pp. 939-942
Author(s):  
Yun Yan He ◽  
Yan Hai Hu
Keyword(s):  
Numerical Simulation ◽  
Optimization Model ◽  
Average Rate ◽  
Handling Time ◽  
Container Ship ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Rate Of Increase ◽  
Loading And Unloading

Based upon synchronized loading and unloading containers method, a multi-objective optimization model was established. Minimizing the weighing vehicle transporting time and quay-crane(QC) handling time is taken as the objective. When the container ship reached the terminal, loading and unloading work was beginning. The optimal operational sequence of hatches in a bay was obtained by optimized computing, as well as the shortest handling time of vehicle and quay-crane. By numerical simulation, the efficiency is improved 22.62%~31.47%; the average rate of increase is 27.01%. The results illustrate the feasibility and efficiency of the proposed synchronized loading and unloading containers method by comparing with the traditional operations method.

scholarly journals Research on Blank Optimization Design Based on Low-Carbon and Low-Cost Blank Process Route Optimization Model

2021 ◽  
Vol 13 (4) ◽  
pp. 1929
Author(s):  
Yongmao Xiao ◽  
Wei Yan ◽  
Ruping Wang ◽  
Zhigang Jiang ◽  
Ying Liu
Keyword(s):  
Optimization Model ◽  
Optimization Design ◽  
Design Method ◽  
Low Cost ◽  
Route Optimization ◽  
Low Carbon ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Blank Design ◽  
Process Route

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

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