scholarly journals A SIMULATION-BASED OPTIMIZATION FRAMEWORK: A CASE STUDY ON INVENTORY MANAGEMENT

2017 ◽  
Vol 4 (05) ◽  
Keyword(s):  
Inventory Management ◽  
Optimization Framework ◽  
Simulation Based ◽  
Simulation Based Optimization

scholarly journals Incentives for Ridesharing: A Case Study of Welfare and Traffic Congestion

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Changle Song ◽  
Julien Monteil ◽  
Jean-Luc Ygnace ◽  
David Rey
Keyword(s):  
Social Welfare ◽  
Traffic Congestion ◽  
Travel Demand ◽  
Transmission Model ◽  
Fixed Point Algorithm ◽  
Optimization Framework ◽  
Simulation Based ◽  
Simulation Based Optimization ◽  
The Impact

Traffic congestion is largely due to the high proportion of solo drivers during peak hours. Ridesharing, in the sense of carpooling, has emerged as a travel mode with the potential to reduce congestion by increasing the average vehicle occupancy rates and reduce the number of vehicles during commuting periods. In this study, we propose a simulation-based optimization framework to explore the potential of subsidizing ridesharing users, drivers, and riders, so as to improve social welfare and reduce congestion. We focus our attention on a realistic case study representative of the morning commute on Sydney’s M4 Motorway in Australia. We synthesize a network model and travel demand data from open data sources and use a multinomial logistic model to capture users’ preferences across different travel roles, including solo drivers, ridesharing drivers, ridesharing passengers, and a reserve option that does not contribute to congestion on the freeway network. We use a link transmission model to simulate traffic congestion on the freeway network and embed a fixed-point algorithm to equilibrate users’ mode choice in the long run within the proposed simulation-based optimization framework. Our numerical results reveal that ridesharing incentives have the potential to improve social welfare and reduce congestion. However, we find that providing too many subsidies to ridesharing users may increase congestion levels and thus be counterproductive from a system performance standpoint. We also investigate the impact of transaction fees to a third-party ridesharing platform on social welfare and traffic congestion. We observe that increasing the transaction fee for ridesharing passengers may help in mitigating congestion effects while improving social welfare in the system.

scholarly journals Optimization of a saturated gas plant: Meticulous simulation-based optimization – A case study

2020 ◽  
Vol 22 ◽  
pp. 21-33 ◽  
Author(s):  
Salah H. Bayoumy ◽  
Sahar M. El-Marsafy ◽  
Tamer S. Ahmed
Keyword(s):  
Simulation Based ◽  
Simulation Based Optimization

scholarly journals Operational sea passage scenario generation for virtual testing of ships using an optimization for simulation approach

2020 ◽  
Author(s):  
Endre Sandvik ◽  
Jørgen Bremnes Nielsen ◽  
Bjørn Egil Asbjørnslett ◽  
Eilif Pedersen ◽  
Kjetil Fagerholt
Keyword(s):  
Simulation Approach ◽  
Sea State ◽  
Virtual Testing ◽  
Operational Conditions ◽  
Optimization Framework ◽  
The North ◽  
Simulation Based Design ◽  
Simulation Based ◽  
The North Pacific

AbstractIn this paper, a model for implementation of sea passage operational scenarios in the context of simulation-based design of ships is presented. To facilitate the transition towards more energy-efficient shipping, the ability to evaluate and understand ship and ship system behaviour in operational conditions is central. By introducing an optimization model in virtual testing frameworks, operational scenarios can be generated that enhances scenario relevance and testing abilities. The optimization for simulation approach provides speed and course commands based on an optimization framework which factors in the operational considerations and sea state conditions in the area of operation. Impact on the understanding of ship system performance using simulation is assessed in a case study where a sea passage over the North Pacific is replicated for varying operational scenarios and seasons. It is found that the variation of operational scenario, affecting the sea state and speed relation, causes significant differences in required power and fuel consumption estimates. Sea passage control is found to be an important dimension in virtual testing approaches.

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