Open Access. Powered by Scholars. Published by Universities.®

Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 5 of 5

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

Inventory Planning And Coordination In Disaster Relief Efforts, Lauren Davis, Funda Samanlioglu, Xiuli Qu, Sarah Root Dec 2011

Inventory Planning And Coordination In Disaster Relief Efforts, Lauren Davis, Funda Samanlioglu, Xiuli Qu, Sarah Root

Dr. Lauren B Davis

This research proposes a stochastic programming model to determine how supplies should be positioned and distributed among a network of cooperative warehouses. The model incorporates constraints that enforce equity in service while also considering traffic congestion resulting from possible evacuation behavior and time constraints for providing effective response. We make use of short-term information (e.g., hurricane forecasts) to more effectively preposition supplies in preparation for their distribution at an operational level. Through an extensive computational study, we characterize the conditions under which prepositioning is beneficial, as well as discuss the relationship between inventory placement, capacity and coordination within the network.


Simulation-Based Evaluation Of Port Evacuation Plans For Predictable Natural Disasters, Xiuli Qu, Maurice Jackson, Lauren Davis Dec 2011

Simulation-Based Evaluation Of Port Evacuation Plans For Predictable Natural Disasters, Xiuli Qu, Maurice Jackson, Lauren Davis

Dr. Lauren B Davis

Effective port emergency evacuation could reduce the potential damages and losses caused by a predictive natural disaster. Thus, most U.S. ports have evacuation plans or guidelines established for predictive natural disasters, especially hurricanes. However, hurricane Katrina still revealed that these existing emergency evacuation plans may not be as effective as originally expected. The objective of this study is to provide a quantitative approach to evaluating the effectiveness of port emergency evacuation plans for hurricanes. A discrete-event simulation model is developed in this study to capture the dynamic evacuation process in a complex port environment when a hurricane approaches a port. …


Impact Of Batch Appointments On No-Show Rates: A Public Versus Private Clinic Perspective, Husniyah Abdus-Salaam, Lauren Davis Dec 2011

Impact Of Batch Appointments On No-Show Rates: A Public Versus Private Clinic Perspective, Husniyah Abdus-Salaam, Lauren Davis

Dr. Lauren B Davis

Much of the appointment scheduling literature has characterized the impact of no-show rates with respect to individual appointment requests. However, little is known about the impact of appointments that are grouped by household. This study is concerned with understanding the prevalence of these family group appointments and identifying the appointment characteristics that significantly influence no-show rates. Using historical data from a public and private pediatric clinic, Multiway Frequency Analysis is used to characterize the association between appointment characteristics and appointment size. A logistic regression model is also developed to identify the factors that contribute to no-show rates for both clinics. …


Evaluating The Effectiveness Of Prepositioning Policies In Response To Natural Disasters, Jarrett Chapman, Lauren Davis, Funda Samanlioglu, Xiuli Qu Dec 2011

Evaluating The Effectiveness Of Prepositioning Policies In Response To Natural Disasters, Jarrett Chapman, Lauren Davis, Funda Samanlioglu, Xiuli Qu

Dr. Lauren B Davis

Recent natural disasters highlight the complexities associated with planning, coordination and distribution of supplies in a manner which provides timely and effective response. In this paper, we present a model to quantify the benefits associated with pre-positioning local supplies. We assume the supplies are in a high-risk location and may be destroyed if an appropriate strategy to protect the supplies is not implemented. A stochastic linear programming model is developed where the first-stage decision pre-positions existing supplies to minimize the supply loss. Second-stage decisions attempt to maximize the responsiveness of the system by allocating supplies to satisfy demand. The benefits …


A Heuristic Approach For Allocation Of Data To Rfid Tags: A Data Allocation Knapsack Problem, Lauren Davis, Funda Samanlioglu, Xiaochun Jiang, Daniel Mota, Paul Stanfield Dec 2011

A Heuristic Approach For Allocation Of Data To Rfid Tags: A Data Allocation Knapsack Problem, Lauren Davis, Funda Samanlioglu, Xiaochun Jiang, Daniel Mota, Paul Stanfield

Dr. Lauren B Davis

Durable products and their components are increasingly being equipped with one of several forms of automatic identification technology such as radio frequency identification (RFID). This technology enables data collection, storage, and transmission of product information throughout its life cycle. Ideally all available relevant information could be stored on RFID tags with new information being added to the tags as it becomes available. However, because of the finite memory capacity of RFID tags along with the magnitude of potential lifecycle data, users need to be more selective in data allocation. In this research, the data allocation problem is modeled as a …