Operations Research, Systems Engineering and Industrial Engineering Commons^™

Using The Triple Bottom Line To Select Sustainable Suppliers For A Major Oil And Gas Company, Pandarinath Adarsh Sunkari

Graduate Theses and Dissertations

Companies have primarily been focusing on the financial bottom line i.e., on increasing profits by increasing revenues and reducing costs. With high energy usage and environmental change posing threats to the environment and business operations, companies are now considering sustainability. Since some global suppliers have low cost labor, Social well-being and human development has also emerged as major goals of a company performing global operations. Focusing on these three goals is termed the "Triple Bottom Line" (TBL). We study and explore the TBL benefits that could be realized by an oil and gas company by focusing on sustainable suppliers. A …

Modeling Expected Travel Distances For A Common Warehouse Design With Multiple Docks, Mahmut Tutam

Graduate Theses and Dissertations

This thesis develops expected travel distance expressions for both single- and dual-command operations in a unit-load warehouse design with multiple docks. Storage racks are aligned perpendicular to the wall containing docks. Results are presented for continuous and discrete formulations. Because of the importance of how docks are located on a wall, different dock locations are investigated, including uniformly distributed docks along one wall, specified distances between adjacent docks located symmetrically about the mid-point of a warehouse wall, and any distribution of locations along one wall. Among the results obtained, we find that the width-to-depth ratio of the storage area (commonly …

Strategic Planning Tool Development Using Portfolio Decision Analysis, Luis B. Vargas Rojas

Graduate Theses and Dissertations

A portfolio decision analysis strategic planning tool was developed for the Facilities Management Office at the University of Arkansas. The tool provides information to support budget allocation decisions based on their Strategic Planning Project List, project attributes (e.g, seat utilization, scheduling preferences, and sustainability rank), and budget constraints. The projects are evaluated using multiobjective decision analysis. We introduce dynamic value functions, which vary the range of the value measures based on the planning horizon, to evaluate the projects). We determine facilities portfolios based on the project values and constraints using Linear Programming. In addition, insightful reports are generated, which provide …

Life Cycle Assessment Projection Of Photovoltaic Cells: A Case Study On Energy Demand Of Quantum Wire Based Photovoltaic Technology Research, Shilpi Mukherjee

Graduate Theses and Dissertations

With increasing clean-energy demand, photovoltaic (PV) technologies have gained attention as potential long-term alternative to fossil fuel energy. However, PV research and manufacture still utilize fossil fuel-powered grid electricity. With continuous enhancement of solar conversion efficiency, it is imperative to assess whether overall life cycle efficiency is also being enhanced. Many new-material PV technologies are still in their research phase, and life cycle analyses of these technologies have not yet been performed. For best results, grid dependency must be minimized for PV research, and this can be accomplished by an analytical instrument called Life Cycle Assessment (LCA).

LCA is the …

A Strategic Approach To Effectively Manage Supplier Quality Within The Construction Industry, Rufaidah Almaian

Graduate Theses and Dissertations

The aim of the research is to determine the best practices for supplier quality management (SQM) in the construction industry that ensure that the supplied materials and equipment for construction projects are within the quality requirements. The research is based on three main objectives. The first objective is to describe and assess the process of assuring supplier quality inside and outside the construction industry. The second objective is to develop a framework for the supplier quality process based on the collection of SQM practices from multiple data sources. The third objective is to assess the SQM practices within the developed …

Truckload Shipment Planning And Procurement, Neo Nguyen

Graduate Theses and Dissertations

This dissertation presents three issues encountered by a shipper in the context of truckload transportation. In all of the studies, we utilize optimization techniques to model and solve the problems. Each study is inspired from the real world and much of the data used in the experiments is real data or representative of real data.

The first topic is about the freight consolidation in truckload transportation. We integrate it with a purchase incentive program to increase truckload utilization and maximize profit. The second topic is about supporting decision making collaboration among departments of a manufacturer. It is a bi-objective optimization …

Evaluating The Effectiveness Of The Global Nuclear Detection Architecture Using Multiple-Objective Decision Analysis, Holly Hilliard

Industrial Engineering Undergraduate Honors Theses

The National Academy of Sciences has recently completed a study of the Global Nuclear Detection Architecture (GNDA) Metrics for the Department of Homeland Security's Domestic Nuclear Detection Office. This research uses the reports strategic framework and notional metrics (and additional information) to develop one overall measure of GNDA effectiveness. The potential benefit of one effectiveness measure would be ability to assess and communicate progress over time to the diverse group of national and international stakeholders and decision makers. This thesis uses the mathematics of multiple objective decision analysis to develop the effectiveness measure. A notional model was developed and it …

Disruption Response Support For Inland Waterway Transportation, Jingjing Tong

Graduate Theses and Dissertations

Motivated by the critical role of the inland waterways in the United States' transportation system, this dissertation research focuses on pre- and post- disruption response support when the inland waterway navigation system is disrupted by a natural or manmade event. Following a comprehensive literature review, four research contributions are achieved. The first research contribution formulates and solves a cargo prioritization and terminal allocation problem (CPTAP) that minimizes total value loss of the disrupted barge cargoes on the inland waterway transportation system. It is tailored for maritime transportation stakeholders whose disaster response plans seek to mitigate negative economic and societal impacts. …

Large-Scale Solution Approaches For Healthcare And Supply Chain Scheduling, Ridvan Gedik

Graduate Theses and Dissertations

This research proposes novel solution techniques for two real world problems. We first consider a patient scheduling problem in a proton therapy facility with deterministic patient arrivals. In order to assess the impacts of several operational constraints, we propose single and multi-criteria linear programming models. In addition, we ensure that the strategic patient mix restrictions predetermined by the decision makers are also enforced within the planning horizon. We study the mathematical structures of the single criteria model with strict patient mix restrictions and derive analytical equations for the optimal solutions under several operational restrictions. These efforts lead to a set …

Multistage Accelerated Reliability Growth Testing Model And Data Analysis, Leiying Jiang

Graduate Theses and Dissertations

Accelerated reliability growth testing has recently received a renewed interest in reliability engineering. The concepts of accelerated testing and reliability growth individually have been used in a variety of applications, either for hardware systems or software systems. The advantage of using a combined strategy is that it could shorten the testing time while maximizing the reliability. In the literature, there are many references related to optimal test design for reliability from either a component level or a system level. In this research, we suggest an approach which conducts accelerated testing at the component level while supporting estimates of reliability at …

Models For Incorporating Block Scheduling In Blood Drive Staffing Problems, Yulong Su

Industrial Engineering Undergraduate Honors Theses

The purpose of this research is to develop decision support models that can be used by the American Red Cross (ARC) to schedule blood drives with improved shifts for the phlebotomists that staff them. Currently, phlebotomists work inconsistent hours and the ARC believes this is a leading cause of high turnover rates they are experiencing. For example, phlebotomists sometimes staff a blood drive until 11 PM one night and will have to work another at 8 AM the next morning. Assigning phlebotomists more consistent shifts in blocks of time will definitely improve their work schedule. Before switching to block scheduling, …

Uncertainty In Relief Supply Distribution, Christopher A. Bayles

Industrial Engineering Undergraduate Honors Theses

In the aftermath of a natural disaster the efficient planning of humanitarian relief efforts, e.g., delivering supplies to locations in need, can often mean the difference between lives being saved and lives being lost. In this paper we focus on two things: (1) appropriate objectives for routing problems in the context of delivery of relief supplies, and (2) how to handle the uncertainty associated with delivery of relief supplies after a disaster. Through applying uncertainty to parameters such as travel time between locations, we seek to examine if/how optimal routes change as a result of different objectives and the presence …

Detailed Inventory Record Inaccuracy Analysis, Hayrettin Kaan Okyay

Graduate Theses and Dissertations

This dissertation performs a methodical analysis to understand the behavior of inventory record inaccuracy (IRI) when it is influenced by demand, supply and lead time uncertainty in both online and offline retail environment separately. Additionally, this study identifies the susceptibility of the inventory systems towards IRI due to conventional perfect data visibility assumptions. Two different alternatives for such methods are presented and analyzed; the IRI resistance and the error control methods. The discussed methods effectively countered various aspects of IRI; the IRI resistance method performs better on stock-out and lost sales, whereas error control method keeps lower inventory. Furthermore, this …

Time-Driven Activity-Based Costing For Healthcare Provider Supply Chain Processes, Martha Isaura Gonzalez

Graduate Theses and Dissertations

In a time when healthcare costs continue to rise, nearly a third of hospital operating expenses are related to supplies, and the healthcare supply chain is complex, it is pertinent for healthcare providers to have a clear understanding of their healthcare supply chain process costs. Having a clear picture into how these costs are driven and where opportunities for cost reductions exist can support supply chain efficiencies. In this research, we develop a Time-Driven Activity-Based Costing (TDABC) supply chain cost management tool for healthcare providers. A TDABC management system can provide healthcare providers with valuable product and process supply chain …

Poisson Distributed Individuals Control Charts With Optimal Limits, Negin Enayaty Ahangar

Graduate Theses and Dissertations

The conventional method used in attribute control charts is the Shewhart three sigma limits. The implicit assumption of the Normal distribution in this approach is not appropriate for skewed distributions such as Poisson, Geometric and Negative Binomial. Normal approximations perform poorly in the tail area of the these distributions. In this research, a type of attribute control chart is introduced to monitor the processes that provide count data. The economic objective of this chart is to minimize the cost of its errors which is determined by the designer. This objective is a linear function of type I and II errors. …

Robust Network Interdiction With Invisible Interdiction Assets, Nail Orkun Baycik

Graduate Theses and Dissertations

We study a version of the shortest path network interdiction problem in which the follower seeks to find the shortest path on a given network and the leader seeks to maximize the follower's shortest path length by interdicting arcs. We consider placement of interdictions that are not visible to the follower; however, we seek to locate interdictions in a manner that is robust against the possibility that some interdiction locations become known to the follower. We formulate the problem as a bi-level program, and use the simulated annealing heuristic to identify high quality solutions. We apply our approach to investigate …

Disaster Relief Models: Location Of Points Of Distribution, Othman Boudhoum

Industrial Engineering Undergraduate Honors Theses

This project consists of developing a Location Allocation model that focuses on determining the locations of relief supply Points of Distribution (PODs) after a natural disaster and how to assign demand points to them. According to FEMA, PODs are “centralized locations where the public picks up life sustaining commodities following a disaster or emergency” [1]. After each disaster, decisions have to be made to ensure a good delivery of resources in a timely manner. The road infrastructure may be damaged due to the disaster. Some roads might become inoperable, and some bridges are expected to fail. The model studied in …

College Football Rankings: An Industrial Engineering Approach, Brent H. Wiles

Industrial Engineering Undergraduate Honors Theses

In using an industrial engineering approach, we utilize optimization and mathematical modeling techniques to rank college football teams when viewed as a quadratic assignment problem.

Parameterizing Analytical Models To Support An Empirically Based Warehouse Design Methodology, Lisa Thomas

Graduate Theses and Dissertations

Research in the area of warehouse design is characterized by a myriad of analytical models that address one, typically small and isolated, area of the warehouse. These models, although important in gaining insight into one question of warehouse design, are of limited value when one considers the larger question of overall warehouse design. Thus, research in the area of overall warehouse design typically consists of procedure-driven processes based on qualitative factors and not the quantifiable results of analytical models.

In contrast, practitioners have significant empirical data related to how a design alternative performs in an industry, a company, or a …

Cost Distribution Analysis Of Remote Monitoring System Use In The Treatment Of Chronic Diseases, Adeola Yusuf

Industrial Engineering Undergraduate Honors Theses

The cost of the treatment of chronic diseases is very high and this has a huge impact on the health-care system. Several factors contribute to this high cost. Some of these include the direct costs of treatment and the costs of several potential complications that arise as a result of the presence of other diseases. The goal of this study is to evaluate a cost-effective way of managing some of the common chronic diseases by analyzing the potential cost savings of utilizing remote monitoring systems (RMS) as opposed to the use of the traditional bundle (which includes regular visits to …

Decision Support Tool For Operations Management Course And Instructor Scheduling, Morgan Ulesich

Industrial Engineering Undergraduate Honors Theses

The goal of this project is develop a decision support tool that will assist the Operations Management Department at the University of Arkansas with scheduling courses and instructors for the upcoming academic year. The staff of the department dreads this time each year because it takes countless hours to complete the daunting task. Creating an abstract mathematical model will assist the department in scheduling the courses. The model will have the ability to optimize the schedule of the courses and instructors from a large number of variables and constraints that the department requires. An optimization software package can solve the …

Reliability Analysis Of Social Networks, Kellie R. Schneider

Graduate Theses and Dissertations

The primary focus of this dissertation is on the quantification of actor interaction and the dissemination of information through Social networks. Social networks have long been used to model the interactions between people in various Social and professional contexts. These networks allow for the explicit modeling of the complex interrelations between relevant individuals within an organization and the role they play in the decision making process. This dissertation considers Social networks represented as network flow models in which actors have the ability to provide some level of influence over other actors within the network. The models developed incorporate performance metrics …

Surveillance Planning Against Smart Insurgents In Complex Terrain, Nabil Lehlou

Graduate Theses and Dissertations

This study is concerned with finding a way to solve a surveillance system allocation problem based on the need to consider intelligent insurgency that takes place in a complex geographical environment. Although this effort can be generalized to other situations, it is particularly geared towards protecting military outposts in foreign lands. The technological assets that are assumed available include stare-devices, such as tower-cameras and aerostats, as well as manned and unmanned aerial systems. Since acquiring these assets depends on the ability to control and monitor them on the target terrain, their operations on the geo-location of interest ought to be …

Load Mixing To Improve Container Utilization, Crystal Wilson

Graduate Theses and Dissertations

The under utilization in trucking leads to nearly 5 billion gallons of wasted fuel annually. One way to recapture part of this waste is to use collaborative logistics. This research focuses on one specific aspect of collaborative logistics: load mixing. Load mixing is the idea of mixing two or more items of different weights in the same container to reduce the number of trucks needed.

Load mixing is similar to other packing problems such as the knapsack and container loading problems. However, traditional packing problems typically only assume a single type of capacity (e.g., weight), whereas load mixing must simultaneously …

On The Maintenance Modeling And Optimization Of Repairable Systems: Two Different Scenarios, Suzan Alaswad

Graduate Theses and Dissertations

The use of mathematical modeling for the purpose of analyzing and optimizing the performance of repairable systems is widely studied in the literature. In this dissertation, we study two different scenarios on the maintenance modeling and optimization of repairable systems. First, we study the long-run availability of a traditional repairable system that is subjected to imperfect corrective maintenance. We use Kijima's second virtual age model to describe the imperfect repair process. Because of the complexity of the underlying probability models, we use simulation modeling to estimate availability performance and meta-modeling to convert the reliability and maintainability parameters of the repairable …

Modeling The Adoption Of Identification Standards Within The Healthcare Supply Chain, Angelica Burbano

Graduate Theses and Dissertations

The adoption of identification standards and its associated technology in the healthcare supply chain has been slow over the past twenty five years, despite the evidence of the benefits that can be achieved. The widespread use of identification standards in the form of barcode labeled medical products can contribute to the reduction of point of care errors and can increase the efficiency of healthcare supply chain related processes. This research is focused on the analysis of the adoption of identification standards in the healthcare supply chain with a particular focus on the healthcare provider adoption challenges. The research is divided …

Locating And Protecting Facilities Subject To Random Disruptions And Attacks, Hugh Medal

Graduate Theses and Dissertations

Recent events such as the 2011 Tohoku earthquake and tsunami in Japan have revealed the vulnerability of networks such as supply chains to disruptive events. In particular, it has become apparent that the failure of a few elements of an infrastructure system can cause a system-wide disruption. Thus, it is important to learn more about which elements of infrastructure systems are most critical and how to protect an infrastructure system from the effects of a disruption. This dissertation seeks to enhance the understanding of how to design and protect networked infrastructure systems from disruptions by developing new mathematical models and …

Optimization Models And Algorithms For Truckload Relay Network Design, Hector Andres Vergara Arteaga

Graduate Theses and Dissertations

Driver turnover is a significant problem for full truckload (TL) carriers that operate using point-to-point (PtP) dispatching. The low quality of life of drivers due to the long periods of time they spend away from home is usually identified as one of the main reasons for the high turnover. In contrast, driver turnover is not as significant for less-than-truckload (LTL) carriers that use hub-and-spoke transportation networks which allow drivers to return home more frequently. Based on the differences between TL and LTL, the use of a relay network (RN) has been proposed as an alternative dispatching method for TL transportation …

Response Strategies For Critical Supply Shortages In Healthcare, Christopher Adkins

Industrial Engineering Undergraduate Honors Theses

The shortage of critical medical supplies in healthcare facilities is of obvious concern to both medical professionals and patients. Speci cally, the growing concern in this area is motivated, at least in part, by our dependence on generic pharmaceuticals. In the absence of FDA restrictions on the production of critical generic goods (e.g. morphine), manufacturers possess little financial incentive to produce numerous products whose patents have expired, but remain critical to patient care. Therefore, faced with crippling shortages, hospitals are left seeking ad-hoc solutions for meeting patient demand of these items. This work considers quantitative response strategies to mitigate the …

Patient And Nurse Considerations In Home Health Routing With Remote Monitoring Devices, Jessica Spicer

Graduate Theses and Dissertations

We build on the current consistent vehicle routing problem literature by formulating a novel multi- objective mathematical model of the home health scheduling and routing problem that includes the option of assigning some patient visits to remote monitoring devices, with the objectives of mini- mizing total cost, achieving nurse consistency and creating balanced nurse workloads. A heuristic solution approach that approximates the efficient frontier of this multiobjective problem is pre- sented and validated, and the results of using this methodology to solve several realistic instances are included. We also analyze the assignment of patients to devices and present some managerial …