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Operations Research, Systems Engineering and Industrial Engineering Commons

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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

A Pomdp Model For Guiding Taxi Cruising In A Congested Urban City, Lucas Agussurja, Hoong Chuin Lau Nov 2011

A Pomdp Model For Guiding Taxi Cruising In A Congested Urban City, Lucas Agussurja, Hoong Chuin Lau

Research Collection School Of Information Systems

We consider a partially observable Markov decision process (POMDP) model for improving a taxi agent cruising decision in a congested urban city. Using real-world data provided by a large taxi company in Singapore as a guide, we derive the state transition function of the POMDP. Specifically, we model the cruising behavior of the drivers as continuous-time Markov chains. We then apply dynamic programming algorithm for finding the optimal policy of the driver agent. Using a simulation, we show that this policy is significantly better than a greedy policy in congested road network.


An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt Oct 2011

An Optimization Approach To Assessing The Self-Sustainability Potential Of Food Demand In The Midwestern United States, Guiping Hu, Lizhi Wang, Susan W. Arendt, Randy Boeckenstedt

Apparel, Events and Hospitality Management Publications

Conventional agriculture faces significant challenges as world population grows, food demand increases, and mobility becomes increasingly constrained. Reducing the distance food needs to travel is an important goal of sustainability and resiliency, particularly in the context of a variety of transportation challenges. In this study, we developed a linear programming optimization method to assess the potential of regions to meet dietary requirements with more localized and diversified agricultural systems. Emphasis is on minimizing the distance between population centers and available cropland, accounting for variations in yield among 40 of the most marketable food crops that can be grown in the ...


Delayed-Bang Approach Towards More Sustainable Critical Infrastructure Risk Management, C. Ariel Pinto, Michael K. Mcshane, Abhishek S. Pathak Jan 2011

Delayed-Bang Approach Towards More Sustainable Critical Infrastructure Risk Management, C. Ariel Pinto, Michael K. Mcshane, Abhishek S. Pathak

Finance Faculty Publications

This article describes the Delayed Bang Approach for determining the value of risk management alternatives in critical infrastructure security. The discussion includes (1) the need for sustainable risk management (2) the importance of time valuation in evaluating competing loss prevention and loss reduction alternatives, (3) the convergence of deterministic engineering economics, survivability analysis, and probabilistic analysis, and (4) hypothetical examples of the Delayed-Bang Approach and significance towards more sustainable risk management.