Toward more cost-effective and greener chemicals production from shale gas by integrating with bioethanol dehydration: Novel process design and simulation-based optimization

AIChE Journal ◽  
2014 ◽  
Vol 61 (4) ◽  
pp. 1209-1232 ◽  
Author(s):  
Chang He ◽  
Fengqi You
Keyword(s):  
Shale Gas ◽  
Process Design ◽  
Cost Effective ◽  
Simulation Based ◽  
Simulation Based Optimization

scholarly journals Simulation-Based Optimization for the Operation of Toll Plaza at Car Park Exit with Mixed Types of Tollbooths and Waiting-Time-Dependent Service

2021 ◽  
Vol 2021 ◽  
pp. 1-27
Author(s):  
Shanchuan Yu ◽  
Yuchuan Du ◽  
Jindong Wang ◽  
Yishun Li ◽  
Yong Zhu
Keyword(s):  
Waiting Time ◽  
Programming Model ◽  
Cost Effective ◽  
Traffic Efficiency ◽  
Kriging Metamodel ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Car Park ◽  
Toll Plaza ◽  
Mixed Types

This study presents an approach of simulation-based optimization to the operation of the toll plaza at the car park exit. We first propose a simulation model, as the representation of the queueing system for the toll plaza with mixed-type customers and servers where the service time is dependent on the waiting time of customer. Then, a simulation-based integer programming model is developed to design more traffic-efficient yet cost-effective operation schemes. It is decomposed by a rolling horizon approach into subproblems which are all solved via the Kriging metamodel algorithm. A numerical example is presented to illustrate the model and offer insight on how to achieve traffic efficiency and cost-effectiveness.

scholarly journals Simulation-Based Optimization for Yard Design at Mega Container Terminal under Uncertainty

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Yong Zhou ◽  
Wenyuan Wang ◽  
Xiangqun Song ◽  
Zijian Guo
Keyword(s):  
Programming Model ◽  
Container Terminal ◽  
Cost Effective ◽  
Container Terminals ◽  
Design Solution ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
Uncertain Future ◽  
Reliable Design ◽  
Terminal Operations

The conventional approach of designing a container yard should be reexamined in the context of sustainable port development. Considering the uncertain future throughput, a simulation-based optimization framework is proposed to obtain a cost-effective and reliable design solution to the physical layout and equipment deployment strategy of the yard at a mega container terminal. In this framework, a two-stage stochastic programming model is presented aided with a simulation procedure of terminal operations. Finally, an application is given and the results show that the proposed integrated decision framework is effective and helpful for optimizing container yard design in the context of sustainable development of container terminals.

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