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Articles 1 - 30 of 202

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

Goods Consumed During Transit In Split Delivery Vehicle Routing Problems: Modeling And Solution, Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou Jun 2020

Goods Consumed During Transit In Split Delivery Vehicle Routing Problems: Modeling And Solution, Wenzhe Yang, Di Wang, Wei Pang, Ah-Hwee Tan, You Zhou

Research Collection School Of Information Systems

This article presents the modeling and solution of an extended type of split delivery vehicle routing problem (SDVRP). In SDVRP, the demands of customers need to be met by efficiently routing a given number of capacitated vehicles, wherein each customer may be served multiple times by more than one vehicle. Furthermore, in many real-world scenarios, consumption of vehicles en route is the same as the goods being delivered to customers, such as food, water and fuel in rescue or replenishment missions in harsh environments. Moreover, the consumption may also be in virtual forms, such as time spent in constrained tasks ...


Learning & Planning For Self-Driving Ride-Hailing Fleets, Jack Morris May 2020

Learning & Planning For Self-Driving Ride-Hailing Fleets, Jack Morris

Undergraduate Honors Theses

Through simulation, we demonstrate that incorporation of self-driving vehicles into ride-hailing fleets can greatly improve urban mobility. After modeling existing driver-rider matching algorithms including Uber’s Batched Matching and Didi Chuxing’s Learning and Planning approach, we develop a novel algorithm adapting the latter to a fleet of Autos – self-driving ride-hailing vehicles – and Garages – specialized hubs for storage and refueling. By compiling driver-rider matching, idling, storage, refueling, and redistribution decisions in one unifying framework, we enable a system-wide optimization approach for self-driving ride-hailing previously unseen in the literature. In contrast with existing literature that labeled driverless taxis as economically infeasible ...


Locating Emergency Shelters While Incorporating Spatial Factors, Justin Taylor May 2020

Locating Emergency Shelters While Incorporating Spatial Factors, Justin Taylor

Theses and Dissertations

In the immediate response phase of a natural disaster, local governments and nonprofit agencies often establish shelters for affected populations. Decisions regarding at which locations to open shelters are made ad hoc based on available building inventory, and may result in high travel impedance to reach shelters and congestion. This thesis presents a shelter location optimization model based on the two-step floating catchment area (2SFCA) method. The 2SFCA method creates a shelter accessibility score for each areal unit (e.g., census block group) which represents the ability for persons in the unit to access shelter capacity with low travel impedance ...


Evaluating Our Evaluations: Recognizing And Countering Performance Evaluation Pitfalls, Lee Evans, G. Lee Robinson Jan 2020

Evaluating Our Evaluations: Recognizing And Countering Performance Evaluation Pitfalls, Lee Evans, G. Lee Robinson

West Point Research Papers

Selecting the right person for the right job at the right time is a persistent challenge faced by organizations. Performance evaluations are a fundamental component of selection processes, and their use in the Army is nearly as old as the service itself. Some early evaluation systems consisted of a list of officers in a regiment with observations noted for each ranging from “a good-natured man” to “merely good—nothing promising” to “a man of whom all unite in speaking ill.” While our current evaluation form adds a bit more science to the art of performance evaluation, a constant in the ...


Contributions Of Role-Playing Games: Advantages Of Incorporating Social Media In Disaster Response, Erin Mullin Dec 2019

Contributions Of Role-Playing Games: Advantages Of Incorporating Social Media In Disaster Response, Erin Mullin

Theses and Dissertations

After a disaster, emergency managers need to know who needs help, what type of help they need, and how soon they need it. Traditionally, they have relied on 911 calls and ground assessments to collect this information. Because the needs of a population are not able to be identified in a timely manner by ground assessments and because individuals are often unable to get through to 911, many civilians in distress turn to social media outlets as a last-ditch effort to obtain the services they need. Due to the uncertainty concerning the accuracy of social media posts, responding to disaster ...


Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr. Oct 2019

Informs Seattle Dei Final 191020.Pdf, Michael P. Johnson Jr.

Michael P. Johnson

Scholarly research on diversity, equity and inclusion (DEI) in the decision sciences is largely concentrated in areas of management and organization design. However, DEI is relevant to other domains of inquiry, and can be understood in terms other than economic efficiency and organization effectiveness. I discuss what a research agenda in decision sciences would look like if DEI, and a focus on social costs and benefits and social justice were central to this work. Examples to be discussed include: the new economy, climate resilience and disaster response, and human services.


Supporting Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr., Justin B. Hollander, Eliza W. Kinsey, George Chichirau, Charla Burnett Aug 2019

Supporting Shrinkage: Better Planning And Decision-Making For Legacy Cities, Michael P. Johnson Jr., Justin B. Hollander, Eliza W. Kinsey, George Chichirau, Charla Burnett

Michael P. Johnson

Planning and policy design for shrinking and distressed regions is challenging. Traditionally, planners use
a variety of tools and incentives to encourage land uses that accommodate changes in populations,
infrastructure and activities to maximize quality of life and social and environmental sustainability.
These are generally designed for growing cities and politically and socially active communities. Since
many regions face significant disparities in social supports, financial resources and quality of life, use of
these tools is thus problematic.

Information technology and the Internet have transformed the production of goods and services. The
‘big data’, ‘smart cities’ and ‘e-government’ movements make it ...


Minimodal: Dimensional Domain Of Miniature Shipping Containers For Intermodal Freight Transportation, Lee Stapley Jul 2019

Minimodal: Dimensional Domain Of Miniature Shipping Containers For Intermodal Freight Transportation, Lee Stapley

Ursidae: The Undergraduate Research Journal at the University of Northern Colorado

This study explores the feasibility of miniature shipping container usage within existing intermodal transportation (IT) supply chains. Smaller intermodal container shipments may help realign freight shipments with the most efficient transportation mode, rail. These containers embolden the dimensional domain (DD) of shipping. The shipping container dimensional domain (container size variation and modal fluidity) is widespread and results in shipments that are often larger or more infrequent than needed. The DD impacts transport mode, shipping frequency, shipment velocity, intermodal supply chain accessibility, and regional shipping networks. This study suggests that container size impacts the DD and, therefore, mode choice. As miniature ...


Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan Jul 2019

Model And Analysis Of Labor Supply For Ride-Sharing Platforms In The Presence Of Sample Self-Selection And Endogeneity, Hao Sun, Hai Wang, Zhixi Wan

Research Collection School Of Information Systems

With the popularization of ride-sharing services, drivers working as freelancers on ride-sharing platforms can design their schedules flexibly. They make daily decisions regard- ing whether to participate in work, and if so, how many hours to work. Factors such as hourly income rate affect both the participation decision and working-hour decision, and evaluation of the impacts of hourly income rate on labor supply becomes important. In this paper, we propose an econometric framework with closed-form measures to estimate both the participation elasticity (i.e., extensive margin elasticity) and working-hour elasticity (i.e., intensive margin elasticity) of labor supply. We model ...


Zac: A Zone Path Construction Approach For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet Jul 2019

Zac: A Zone Path Construction Approach For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the right requests to travel in available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. The most relevant existing work has focussed on generating as many relevant feasible (with respect to available delay for customers) combinations of requests (referred to as trips) as possible in ...


Re-Org: An Online Repositioning Guidance Agent, Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar May 2019

Re-Org: An Online Repositioning Guidance Agent, Muralidhar Konda, Pradeep Varakantham, Aayush Saxena, Meghna Lowalekar

Research Collection School Of Information Systems

No abstract provided.


Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau Apr 2019

Route Planning For A Fleet Of Electric Vehicles With Waiting Times At Charging Stations, Baoxiang Li, Shashi Shekhar Jha, Hoong Chuin Lau

Research Collection School Of Information Systems

Electric Vehicles (EVs) are the next wave of technology in the transportation industry. EVs are increasingly becoming common for personal transport and pushing the boundaries to become the mainstream mode of transportation. Use of such EVs in logistic fleets for delivering customer goods is not far from becoming reality. However, managing such fleet of EVs bring new challenges in terms of battery capacities and charging infrastructure for efficient route planning. Researchers have addressed such issues considering different aspects of the EVs such as linear battery charging/discharging rate, fixed travel times, etc. In this paper, we address the issue of ...


Decision Science For Community Development And Social Change, Michael P. Johnson Jr. Feb 2019

Decision Science For Community Development And Social Change, Michael P. Johnson Jr.

Michael P. Johnson

Operations research, also known as management science or decision science, is a mathematics-based discipline that draws from engineering, information systems, management, public policy and planning. OR enables individuals and organizations to make better decisions regarding manufacturing and logistics, service provision and strategy design. My particular interest in OR focuses on the needs of mission-driven and resource-constrained organizations that serve urban communities. In my talk I will describe how OR can use qualitative and quantitative analysis through meaningful engagement of communities to enable creative identification, formulation and solution of complex problems for local impact and social justice. Specific applications I'm ...


Michael Johnson Biography, Michael P. Johnson Jr. Jan 2019

Michael Johnson Biography, Michael P. Johnson Jr.

Michael P. Johnson

No abstract provided.


Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr. Jan 2019

Community-Focused Problem-Solving With Operations Research And Analytics, Michael P. Johnson Jr.

Michael P. Johnson

In these days of ‘analytics’, ‘big data’ and ‘smart cities’, many of us are aware of the importance of data and quantitative analytic methods for program design, implementation and evaluation. Less commonly-understood are specific tools and methods for community-based interventions in which the problem to be solved is unclear, and the ways in which data of many different kinds can be used to develop interventions that represent best-possible uses of organization and community resources. Moreover, it is also less commonly-understood how to put communities, and community members, near the center of problem-solving and decision-making.

Examples of challenging problems include: How ...


Solving Arc Routing Problems For Winter Road Maintenance Operations, Luning Zhang Jan 2019

Solving Arc Routing Problems For Winter Road Maintenance Operations, Luning Zhang

Graduate Theses and Dissertations

For winter road maintenance, a fleet of snowplow trucks is operated by government agencies to remove snow and ice on roadways and spread materials for anti-icing, de-icing, or increasing friction. Winter road maintenance is essential for providing safe and efficient service for road users (Usman et al., 2010). It is also costly due to the high cost of equipment, crew, and materials. Optimizing winter road maintenance operations could result in significant cost savings, improved safety and mobility, and reduced environmental and social impacts (Salazar-Aguilar et al., 2012).

The first topic in this study focuses on designing routes for winter maintenance ...


The Nuclear Network: Multiplex Network Analysis For Interconnected Systems, Bethany L. Goldblum, Andrew W. Reddie, Thomas C. Hickey, James E. Bevins, Sarah Laderman, Nathaniel Mahowald, Austin P. Wright, Elie Katzenson, Yara Mubarak Jan 2019

The Nuclear Network: Multiplex Network Analysis For Interconnected Systems, Bethany L. Goldblum, Andrew W. Reddie, Thomas C. Hickey, James E. Bevins, Sarah Laderman, Nathaniel Mahowald, Austin P. Wright, Elie Katzenson, Yara Mubarak

Faculty Publications

States facing the decision to develop a nuclear weapons program do so within a broader context of their relationships with other countries. How these diplomatic, economic, and strategic relationships impact proliferation decisions, however, remains under-specified. Adding to the existing empirical literature that attempts to model state proliferation decisions, this article introduces the first quantitative heterogeneous network analysis of how networks of conflict, alliances, trade, and nuclear cooperation interact to spur or deter nuclear proliferation. Using a multiplex network model, we conceptualize states as nodes linked by different modes of interaction represented on individual network layers. Node strength is used to ...


Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer Jan 2019

Facility Location Selection For The Humanitarian Needs Of Refugees, Elif Elçin Günay, Kijung Park, Srujana Kandukuri, Gül E. Okudan Kremer

Industrial and Manufacturing Systems Engineering Conference Proceedings and Posters

As a result of civil war in Syria and Turkey’s open-door policy, almost 3 million refugees moved to Turkey since March 2011. The unexpected arrival of a large number of refugees within a relatively short period of time caused inadequate planning of the government-operated camps to fulfill the humanitarian needs of those affected individuals. The purpose of this study is to develop an optimization model that helps in the distribution of humanitarian aid to the refugees. The multi-objective optimization model decides on the facility locations by integrating total transportation distance minimization and covered demand maximization. Uncertainties in the supply ...


Global Aviation System: Towards Sustainable Development, Marina P. Bonser Dr. Jan 2019

Global Aviation System: Towards Sustainable Development, Marina P. Bonser Dr.

International Journal of Aviation, Aeronautics, and Aerospace

Aviation around the world has integrated into a global system. As the integration process continues, more aspects and levels of it need to be lead towards the sustainable development of the whole system via advancing strategic management, global communication proficiency, and technological expertise. It becomes essential to enrich global language (English) proficiency with cross-cultural communication competence not only for communication in the air but also for airport security, passenger and cargo services, aircraft and equipage engineering, building, and maintenance. Nowadays lower levels of management need more advanced strategic thinking and problem solving skills, and higher levels of management need global ...


Decision Making Under Uncertainties For Air Traffic Flow Management, Guodong Zhu Jan 2019

Decision Making Under Uncertainties For Air Traffic Flow Management, Guodong Zhu

Graduate Theses and Dissertations

A goal of air traffic flow management is to alleviate projected demand-capacity imbalances at airports and in en route airspace through formulating and applying strategic Traffic Management Initiatives (TMIs). As a new tool in the Federal Aviation Administration's NextGen portfolio, the Collaborative Trajectory Options Programs (CTOP) combines many components from its predecessors and brings two important new features: first, it can manage multiple constrained regions in an integrated way with a single program; second, it allows flight operators to submit a set of desired reroute options (called a Trajectory Options Set or TOS), which provides great flexibility and efficiency ...


Routing And Scheduling For A Last-Mile Transportation System, Hai Wang Jan 2019

Routing And Scheduling For A Last-Mile Transportation System, Hai Wang

Research Collection School Of Information Systems

The last-mile problem concerns the provision of travel services from the nearest public transportation node to a passenger’s home or other destination. We study the operation of an emerging last-mile transportation system (LMTS) with batch demands that result from the arrival of groups of passengers who desire last-mile service at urban metro stations or bus stops. Routes and schedules are determined for a multivehicle fleet of delivery vehicles, with the objective of minimizing passenger waiting time and riding time. An exact mixed-integer programming (MIP) model for LMTS operations is presented first, which is difficult to solve optimally within acceptable ...


A State Aggregation Approach For Stochastic Multiperiod Last-Mile Ride-Sharing Problems, Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau Jan 2019

A State Aggregation Approach For Stochastic Multiperiod Last-Mile Ride-Sharing Problems, Lucas Agussurja, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Information Systems

The arrangement of last-mile services is playing an increasingly important role in making public transport more accessible. We study the use of ridesharing in satisfying last-mile demands with the assumption that demands are uncertain and come in batches. The most important contribution of our paper is a two-level Markov decision process framework that is capable of generating a vehicle-dispatching policy for the aforementioned service. We introduce state summarization, representative states, and sample-based cost estimation as major approximation techniques in making our approach scalable. We show that our approach converges and solution quality improves as sample size increases. We also apply ...


Autonomous Airliners Anytime Soon?, Samuel M. Vance, Evan C. Bird, Daniel J. Tiffin Jan 2019

Autonomous Airliners Anytime Soon?, Samuel M. Vance, Evan C. Bird, Daniel J. Tiffin

International Journal of Aviation, Aeronautics, and Aerospace

This research seeks to extend the body of knowledge on factors influential in the decision to fly on an autonomous airliner as a passenger. Only a handful of studies have probed this direct question in the last 16 years, but the data is showing a growing public acceptance of this type of travel. Pivotal in this consideration is the basic element of trust – trust in automated airliners and trust in the airline and Air Traffic Control systems which are responsible for autonomous airliners. Human trust has many forms and manifestations, but in the end, it is a dichotomous or binary ...


Integrated Reward Scheme And Surge Pricing In A Ride-Sourcing Market, Hai Yang, Chaoyi Shao, Hai Wang, Jieping Ye Dec 2018

Integrated Reward Scheme And Surge Pricing In A Ride-Sourcing Market, Hai Yang, Chaoyi Shao, Hai Wang, Jieping Ye

Research Collection School Of Information Systems

Surge pricing is commonly used in on-demand ride-sourcing platforms (e.g., Uber, Lyft and Didi) to dynamically balance demand and supply. However, since the price for ride service cannot be unlimited, there is usually a reasonable or legitimate range of prices in practice. Such a constrained surge pricing strategy fails to balance demand and supply in certain cases, e.g., even adopting the maximum allowed price cannot reduce the demand to an affordable level during peak hours. In addition, the practice of surge pricing is controversial and has stimulated long debate regarding its pros and cons. To address the limitation ...


Design And Implementation Of Decision Support For Traffic Management At Multipurpose Port Gates, Ketki Kulkarni, Hoong Chuin Lau, Hai Wang, Sathyavarathan Sivabalasingam, Trong Khiem Tran Dec 2018

Design And Implementation Of Decision Support For Traffic Management At Multipurpose Port Gates, Ketki Kulkarni, Hoong Chuin Lau, Hai Wang, Sathyavarathan Sivabalasingam, Trong Khiem Tran

Research Collection School Of Information Systems

Effective traffic management can help port operators gain a competitive edge in service level and efficient use of limited resources. One critical aspect of traffic management is gate operations management, ensuring a good customer experience to logistic carriers and considering the impact of congestion in and around the port. In this paper, we describe the design and implementation of a decision support tool to help gate operators plan for future scenarios with fluctuating demand and limited resources. We propose a simulation optimization framework which incorporates theoretical results from queuing theory to approximate complex multi-lane multi-server systems. Our major contribution in ...


Socio-Economic Planning Sciences Special Issue: Indices For The Betterment Of The Public, Vincent Charles, Ali Emrouznejad, Michael P. Johnson Jr. Oct 2018

Socio-Economic Planning Sciences Special Issue: Indices For The Betterment Of The Public, Vincent Charles, Ali Emrouznejad, Michael P. Johnson Jr.

Michael P. Johnson

Over the years, the quest for a better society has led to the birth of a variety of composite indices of development, from the gross domestic product to the happiness index. These indices usually integrate various social, cultural, psychological, and political aspects and are considered of vital importance for evaluating a country's level of development and for assessing the impact of policy specially in public sector. Overall, they consist of numerical measures that describe the well-being of both the individual and the society as a whole. 

The Special Issue of Socio-Economic Planning Sciences encourages original research articles of high ...


Strengthening The Profession Through Diversity And Inclusion-Related Research Within Or, Michael P. Johnson Jr. Oct 2018

Strengthening The Profession Through Diversity And Inclusion-Related Research Within Or, Michael P. Johnson Jr.

Michael P. Johnson

Diversity, equity and inclusion are well-studied and widely-practiced areas in organization design, human resources and many areas of social sciences. However, the science, technology, engineering and math (STEM) disciplines are somewhat newer to the notion of diversity, equity and inclusion as a way to improve professions and contribute to substantive research within component disciplines. This is especially true for operations research and the decision sciences. In this talk, given to an interdisciplinary audience of engineering professors, administrators and students, I provide an introduction to operations research, to diversity, equity and inclusion within STEM and OR specifically, ways that DEI might ...


Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau Sep 2018

Community Operational Research: A Survey Of The Discipline, Michael P. Johnson Jr., Gerald Midgley, Jason D. Wright, George Chichirau

Michael P. Johnson

Community operational research (COR) is an extension of multiple OR/MS traditions to support participatory research, localized impact and social change. It applies critical thinking, evidence-based policy analysis, community participation and decision modeling to local interventions. It emphasizes the needs, voices and values of disadvantaged and marginalized populations. It rests on a foundation of meaningful engagement with communities. This presentation summarizes a multi-year effort to assemble cutting-edge research in COR in a special issue of European Journal of Operational Research available August 2018. We review principles for community OR, describe the breadth and diversity of the field through the experience ...


Identifying Criteria To Predict Army Rifle Marksmanship Proficiency, Katlin Makina Anglin Sep 2018

Identifying Criteria To Predict Army Rifle Marksmanship Proficiency, Katlin Makina Anglin

Dissertations and Theses

The United States Army requires each Soldier to develop marksmanship proficiency in an effort to achieve combat readiness. Soldiers currently develop marksmanship proficiency through Basic Rifle Marksmanship (BRM) training, but significant skill deficiencies are apparent at the end of training. These skill deficiencies remain throughout training because instructors rarely assess Soldiers objectively before the final qualification, reducing the opportunity for instructors to diagnose skill deficiencies until it is too late. Therefore, the goal of the current research is to identify individual differences and sensor-based performance measures for inclusion in a formative assessment during BRM training. The results of the current ...


Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau Jul 2018

Emerging Trends And New Frontiers In Community Operational Research, Michael P. Johnson Jr., Gerald Midgley, George Chichirau

Michael P. Johnson

Community operational research (Community OR), and its disciplinary relation, community-based operations research, has an increasingly high profile within multiple domains that benefit from empirical and analytic approaches to problem solving. These domains are primarily concentrated within nonprofit services and local development. However, there are many other disciplinary and application areas for which novel applications and extensions of COR could generate valuable insights. This paper identifies a number of these, distinguishing between ‘emerging trends’ (mostly in well-studied areas of operations research, management science and analytics) and ‘new frontiers’, which can be found in traditions not commonly oriented towards empirical and analytic ...