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Full-Text Articles in Business

Transportation Safety Performance Of Us Bus Transit Agencies And Population Density: A Cross-Sectional Analysis (2008-2014), Ilker Karaca, Peter T. Savolainen Jul 2019

Transportation Safety Performance Of Us Bus Transit Agencies And Population Density: A Cross-Sectional Analysis (2008-2014), Ilker Karaca, Peter T. Savolainen

Ilker Karaca

The paper examines the transportation safety performance of transit agencies providing public bus service in the US by using data from the National Transit Database (NTD)

Uses NTD data for a seven-year period from 2008 to 2014 • 3,853 observations for 651 public transportation agencies in 50 states

Seven types of bus transit fatalities and injuries (including passengers, operators, pedestrians, bicyclists)

Main explanatory variable: urban density obtained from the US Census figures

Other explanatory variables: total agency revenue miles, unlinked passenger trips, agency fleet size, and urban population


Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski Dec 2018

Call For Abstracts - Resrb 2019, July 8-9, Wrocław, Poland, Wojciech M. Budzianowski

Wojciech Budzianowski

No abstract provided.


Research Methodologies And The Field Of Decision Analysis.Pdf, Jeffrey Keisler Oct 2018

Research Methodologies And The Field Of Decision Analysis.Pdf, Jeffrey Keisler

Jeffrey Keisler

This presentation considers three questions. (1) What is a research methodology as opposed to any old methodology and what is the role of research methodologies in scholarship? (2) In what ways do and in what ways can decision analysis scholars incorporate common research methodologies? (3) How and why might we think of decision analysis itself as a research methodology?


Assessment And Comparison Of Aviation Manufacturing Industries Throughout Mexico And Brazil, Omar E. Morsi, Kelly A. Whealan-George, Aaron D. Clevenger Aug 2018

Assessment And Comparison Of Aviation Manufacturing Industries Throughout Mexico And Brazil, Omar E. Morsi, Kelly A. Whealan-George, Aaron D. Clevenger

Aaron D. Clevenger

This literature review serves to provide insight and understanding in regards to the evolving aviation manufacturing industry throughout the globe and more specifically, Mexico and Brazil. Increased demand for aircraft units both in the commercial and private sectors have led to unprecedented expansions in aircraft manufacturing across the industry. In order to illuminate certain potentials and current growth levels of such industries, this review will delve into an array of information and specifications in regards to economic, political, and cultural influences throughout both Mexican and Brazilian markets respectively. In conclusion, the review will identify the transformation of an aviation manufacturing …


Advances In Composite Manufacturing Of Helicopter Parts, Tobias A. Weber, Hans-Joachim K. Ruff-Stahl Jul 2018

Advances In Composite Manufacturing Of Helicopter Parts, Tobias A. Weber, Hans-Joachim K. Ruff-Stahl

Hans-Joachim Ruff-Stahl

This study investigates and compares different methods for improving standard autoclave composite manufacturing in order to find suitable approaches to a more efficient composite production. The goal is not only a reduction in manufacturing times and costs but also quality enhancement. Improved part quality while decreasing costs enables a manufacturer of composite parts to expand its market share, especially in the helicopter market, which has been constantly shrinking over the last two years. Various approaches such as improved tooling technology, the use of automated systems for lamination as well as outsourcing are examined to provide an overview of possible advancements …


Managing Strategic Intellectual Property Assets In The Fuzzy Front End Of New Product Development Process, Yonghee Cho, Tugrul U. Daim Jan 2018

Managing Strategic Intellectual Property Assets In The Fuzzy Front End Of New Product Development Process, Yonghee Cho, Tugrul U. Daim

Joseph Cho

The strategic use of intellectual property (IP) is crucial for technology-based companies to gain competitive advantage. The recent transformation of the US patent system brings new challenges and opportunities in this arena. In this regard, this study attempts to identify techniques which can help with IP evaluation and selection in the fuzzy front end (FFE) of new product development (NPD) process. This study combines data collection methods such as mining the literature, conducting in-depth interviews, surveying questionnaires, and analyzing cases. This research serves as an analysis of modern literature and identifies a multi-criteria weighted scoring model that can be employed …


Structuring Financial Incentives For Residential Solar Electric Systems, Kevin C. Van Blommestein, Yonghee Cho, Tugrul U. Daim, Paul Sklar Dec 2017

Structuring Financial Incentives For Residential Solar Electric Systems, Kevin C. Van Blommestein, Yonghee Cho, Tugrul U. Daim, Paul Sklar

Joseph Cho

This paper introduces a simple methodology to aid in the decision of how to distribute financial incentive funding for residential solar electric systems in order to maximize demand. Incentive funding can be used more effectively if adjusted according to the decrease in price and the increase in demand of solar electric systems. The decision of how to reduce these incentives due to changing annual funds, while increasing or even maintaining the growth of solar electric system demand, is of great interest to policymakers and public benefit funded program administrators. In order to aid in this process, a three step methodology …


Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr. Aug 2017

Decision Modeling For Housing And Community Development: A Methodology For Evidence-Based Urban And Regional Planning, Michael P. Johnson Jr.

Michael P. Johnson

Urban community development corporations and other local institutions routinely face challenging problems in housing and economic development that require substantial expertise in data analytics and decision modeling. Recent research, inspired by local responses to the housing foreclosure crisis, and developed in cooperation with Boston-area CDCs, has resulted in a collection of applications that can assist CDCs and similar organizations to design local interventions for acquisition and redevelopment of housing. This paper describes these applications. The first of these is values and objective design, i.e. the process of identifying decision opportunities. The second of these is data analytics, or …


Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr. Jan 2017

Community Data Analytics: Localized Data Analysis And Decision Modeling In The Era Of ‘Big Data’ And ‘Smart Cities’, Michael P. Johnson Jr.

Michael P. Johnson

Community-based organizations use data for program design, services provision and strategic planning. However, CBOs often have limited ability to identify, access and apply these data. Thus, CBOs may make decisions on the basis of inadequate data, or limited understanding of the local environment, or limited ability to generate mission-aligned solutions.Community data analytics (CDA) uses local know-how and clearly-articulated values in order to transform data into action. CDA is rooted in principles of operations research and management science for public benefi#12;t. These principles include: active participation by local stakeholders to identify problems of interest; a critical perspective on issues of problem …


C.V. - Wojciech Budzianowski, Wojciech M. Budzianowski Jan 2017

C.V. - Wojciech Budzianowski, Wojciech M. Budzianowski

Wojciech Budzianowski

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Renewable Energy And Sustainable Development (Resd) Group, Wojciech M. Budzianowski Jan 2017

Renewable Energy And Sustainable Development (Resd) Group, Wojciech M. Budzianowski

Wojciech Budzianowski

No abstract provided.


James M. Resume.Doc, Jim Maskil Oct 2016

James M. Resume.Doc, Jim Maskil

Jim Maskil

No abstract provided.


In Memoriam: Howard Raiffa, Jeffrey Keisler Aug 2016

In Memoriam: Howard Raiffa, Jeffrey Keisler

Jeffrey Keisler

No abstract provided.


A Virtual Environment For Enterprise Engineering Education, Can Saygin, Benjamin Dow, Raymond Kluczny, Majdi Najm, Scott Grasman Jan 2016

A Virtual Environment For Enterprise Engineering Education, Can Saygin, Benjamin Dow, Raymond Kluczny, Majdi Najm, Scott Grasman

Dow Scott

Several resources highlight the need to effectively use modern technology to gain more productive and rewarding undergraduate science, mathematics, engineering, and technology education. In addition to the growth of information technology, the importance of hands-on practice and active learning has been highlighted in various resources. These factors, coupled with inadequate and insufficient real-world experiences in undergraduate education, have become a major reason for under-qualified and under-employed graduates. This paper discusses the creation of the University of Missouri Virtual Enterprise, which provides context for development of learning modules for enterprise engineering education. This approach will improve the undergraduate education experience by …


Road Rescue Implements A Continuous Process Improvement Framework, John Olson, Paul Savory Dec 2015

Road Rescue Implements A Continuous Process Improvement Framework, John Olson, Paul Savory

John Olson

Continuous improvement programs traditionally focus on making small incremental improvements to a system. Unfortunately, their success can be limited due to the rapid changing environment within which most small companies operate. Improvement efforts should be flexible enough to capitalize on incremental and radical changes to a system. This paper presents a case analysis of how Road Rescue, an ambulance manufacturer, uses a continuous improvement framework to capitalize on both radical and incremental improvement opportunities. Results include a 10% increase in throughput, reduced cycle time of 44%, increased customer satisfaction, and higher quality.


Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau Dec 2015

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen Cheng

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …


Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau Dec 2015

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen Cheng

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …


Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau Dec 2015

Robust Distributed Scheduling Via Time Period Aggregation, Shih-Fen Cheng, John Tajan, Hoong Chuin Lau

Shih-Fen CHENG

In this paper, we evaluate whether the robustness of a market mechanism that allocates complementary resources could be improved through the aggregation of time periods in which resources are consumed. In particular, we study a multi-round combinatorial auction that is built on a general equilibrium framework. We adopt the general equilibrium framework and the particular combinatorial auction design from the literature, and we investigate the benefits and the limitation of time-period aggregation when demand-side uncertainties are introduced. By using simulation experiments on a real-life resource allocation problem from a container port, we show that, under stochastic conditions, the performance variation …


Problem Tree & Italian Transport Companies, Sajjad Khaksari Jun 2015

Problem Tree & Italian Transport Companies, Sajjad Khaksari

SAJJAD KHAKSARI

Slides of Report: Production System Analysis & Italian Transport Companies; A briefly endeavor to modeling, 3th edition; Problem Tree; Production Functions (PF's); Organization Chart; Information Pattern; Standard Time; Make-span (MS); Modeling; DM's; Work Sequence; Report; Table of Agents; Table of Resources; Production System Analysis & Italian Transport CompaniesCourse of Prof. Agostino Villa; Politecnico di Torino, Student: Sajjad Khaksari; June 11, 2015;


Why Toyota And Honda Topped The 2002 J.D. Power Quality Study, Susan Lightle, Kenneth Yale Rosenzweig, John Talbott Jun 2015

Why Toyota And Honda Topped The 2002 J.D. Power Quality Study, Susan Lightle, Kenneth Yale Rosenzweig, John Talbott

Kenneth Y. Rosenzweig

Toyota again topped the annual J. D. Power and Associates quality study released in late May of 2002. Toyota scored the highest mark ever with l 07 defects per l 00 vehicles, while Honda came in second with 113 defects. The study was based on responses of approximately 65,000 new car owners queried during their first 90-days of ownership. These results do not surprise us, as we have been fortunate to make numerous sojourns to the Toyota plant in Georgetown, Kentucky, and observe the manufacturing processes. These trips were normally facilitated by a former Japanese student of ours, Minako Yanke, …


Performance Evaluation Of Tehran-Qom Highway Emergency Medical Service System Using Hypercube Queuing Model, Mohammadsadegh Mobin, Zhaojun Li, Maghsoud Amiri May 2015

Performance Evaluation Of Tehran-Qom Highway Emergency Medical Service System Using Hypercube Queuing Model, Mohammadsadegh Mobin, Zhaojun Li, Maghsoud Amiri

Mohammadsadegh Mobin

This paper studies the ambulance deployment of the Tehran-Qom highway emergency medical service (EMS) system. The response time of EMS to an emergency call can have impact on the users in terms of the life and death, and this performance metric is evaluated using the proposed hypercube queuing model. The model is based on spatially distributed queuing theory and Markovian analysis approximations, and it is one of the most effective approaches for analyzing emergency response systems. In this research, performance measures of the EMS including workloads and mean response times are evaluated using the hypercube model. Modification to the existing …


Humanitarian Logistics Network Design For An Effective Disaster Response, Soumia Ichoua Jan 2015

Humanitarian Logistics Network Design For An Effective Disaster Response, Soumia Ichoua

Soumia Ichoua

In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions.


Project Management Decisions With Uncertain Targets, Jeffrey Keisler, Robert Bordley Dec 2014

Project Management Decisions With Uncertain Targets, Jeffrey Keisler, Robert Bordley

Jeffrey Keisler

Project management decision rules presume that fixed and inflexible targets have been defined for the project. If a project's slack is defined as the difference between actual project performance and these targets, then these decision rules can be characterized as maximizing the probability that slack is non-negative (i.e., maximizing the probability of meeting the targets). These rules rely on z-scores to compare uncertain performance to target levels. Following these decision rules will not always suffice for the project manager to act consistently with customer preferences. In particular, actual requirements may be uncertain or subject to change, and customers may have …


Exploiting Knowledge About Future Demands For Real-Time Vehicle Dispatching, Soumia Ichoua, Michel Gendreau, Jean Yves Potvin Sep 2014

Exploiting Knowledge About Future Demands For Real-Time Vehicle Dispatching, Soumia Ichoua, Michel Gendreau, Jean Yves Potvin

Soumia Ichoua

An important, but seldom investigated issue in the field of dynamic vehicle routing and dispatching is how to exploit information about future events to improve decision making. In this paper, we address this issue in a real-time setting with a strategy based on probabilistic knowledge about future request arrivals to better manage the fleet of vehicles. More precisely, the new strategy introduces dummy customers (representing forecasted requests) in vehicle routes to provide a good coverage of the territory. This strategy is assessed through computational experiments performed in a simulated environment.


Psum: Training In Google Glass And Android, Keith R. Macarthur, Sarah Greenstein, Ben Sawyer Jul 2014

Psum: Training In Google Glass And Android, Keith R. Macarthur, Sarah Greenstein, Ben Sawyer

Keith Reid MacArthur

Given the dynamic state of technology, people are compelled to learn new ways of interacting with their environment to develop new habits. Google Glass represents one such novel and emerging technology now available to the population. How long does it take to get comfortable with new technology, so that we can maintain our level of competency as before? The Minds in Technology/Machines in Thought (MIT2) Laboratory is evaluating Google Glass for driving research and is interested in the training time required for participants to become comfortable and competent with its use. To fulfill this goal of assessing adaptation, an exploratory …


Direct Neighbor Search, Jilian Zhang, Kyriakos Mouratidis, Hwee Hwa Pang Jun 2014

Direct Neighbor Search, Jilian Zhang, Kyriakos Mouratidis, Hwee Hwa Pang

Kyriakos MOURATIDIS

In this paper we study a novel query type, called direct neighbor query. Two objects in a dataset are direct neighbors (DNs) if a window selection may exclusively retrieve these two objects. Given a source object, a DN search computes all of its direct neighbors in the dataset. The DNs define a new type of affinity that differs from existing formulations (e.g., nearest neighbors, nearest surrounders, reverse nearest neighbors, etc.) and finds application in domains where user interests are expressed in the form of windows, i.e., multi-attribute range selections. Drawing on key properties of the DN relationship, we develop an …


Budgeted Personalized Incentive Approaches For Smoothing Congestion In Resource Networks, Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau Jun 2014

Budgeted Personalized Incentive Approaches For Smoothing Congestion In Resource Networks, Pradeep Varakantham, Na Fu, William Yeoh, Shih-Fen Cheng, Hoong Chuin Lau

Shih-Fen CHENG

Congestion occurs when there is competition for resources by sel sh agents. In this paper, we are concerned with smoothing out congestion in a network of resources by using personalized well-timed in- centives that are subject to budget constraints. To that end, we provide: (i) a mathematical formulation that computes equilibrium for the re- source sharing congestion game with incentives and budget constraints; (ii) an integrated approach that scales to larger problems by exploiting the factored network structure and approximating the attained equilib- rium; (iii) an iterative best response algorithm for solving the uncon- strained version (no budget) of the …


A Multi-Objective Memetic Algorithm For Vehicle Resource Allocation In Sustainable Transportation Planning, Hoong Chuin Lau, Lucas Agussurja, Shih-Fen Cheng, Pang Jin Tan Jun 2014

A Multi-Objective Memetic Algorithm For Vehicle Resource Allocation In Sustainable Transportation Planning, Hoong Chuin Lau, Lucas Agussurja, Shih-Fen Cheng, Pang Jin Tan

Shih-Fen CHENG

Sustainable supply chain management has been an increasingly important topic of research in recent years. At the strategic level, there are computational models which study supply and distribution networks with environmental considerations. At the operational level, there are, for example, routing and scheduling models which are constrained by carbon emissions. Our paper explores work in tactical planning with regards to vehicle resource allocation from distribution centers to customer locations in a multi-echelon logistics network. We formulate the bi-objective optimization problem exactly and design a memetic algorithm to efficiently derive an approximate Pareto front. We illustrate the applicability of our approach …


An Agent-Based Simulation Approach To Experience Management In Theme Parks, Shih-Fen Cheng, Larry Junjie Lin, Jiali Du, Hoong Chuin Lau, Pradeep Reddy Varakantham Jun 2014

An Agent-Based Simulation Approach To Experience Management In Theme Parks, Shih-Fen Cheng, Larry Junjie Lin, Jiali Du, Hoong Chuin Lau, Pradeep Reddy Varakantham

Shih-Fen CHENG

In this paper, we illustrate how massive agent-based simulation can be used to investigate an exciting new application domain of experience management in theme parks, which covers topics like congestion control, incentive design, and revenue management. Since all visitors are heterogeneous and self-interested, we argue that a high-quality agent-based simulation is necessary for studying various problems related to experience management. As in most agent-base simulations, a sound understanding of micro-level behaviors is essential to construct high-quality models. To achieve this, we designed and conducted a first-of-its-kind real-world experiment that helps us understand how typical visitors behave in a theme-park environment. …


Interacting Knapsack Problem In Designing Resource Bundles, Truong Huy D. Nguyen, Pradeep Reddy Varakantham, Hoong Chuin Lau, Shih-Fen Cheng Jun 2014

Interacting Knapsack Problem In Designing Resource Bundles, Truong Huy D. Nguyen, Pradeep Reddy Varakantham, Hoong Chuin Lau, Shih-Fen Cheng

Shih-Fen CHENG

In many real-life businesses, the service provider/seller keeps a log of the visitors’ behavior as a way to assess the efficiency of the current business/operation model and find room for improvement. For example, by tracking when visitors entering attractions in a theme park, theme park owners can detect when and where congestion may occur, thus having contingency plans to reroute the visitors accordingly. Similarly, a Cable TV service provider can track channel switching events at each household to identify uninteresting channels. Subsequently, the repertoire of channels up for subscription can evolve over time to better serve the entertainment demand of …