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Routing And Scheduling For A Last-Mile Transportation System, Hai WANG 2019 Singapore Management University

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 ...


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

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

Wojciech Budzianowski

No abstract provided.


Diversity And Or/Ms/Analytics: Deepening The Impact Of Our Research, Broadening Access To The Profession, Michael P. Johnson Jr. 2018 University of Massachusetts - Boston

Diversity And Or/Ms/Analytics: Deepening The Impact Of Our Research, Broadening Access To The Profession, Michael P. Johnson Jr.

Michael P. Johnson

In a society that is growing ever more diverse, and where perspectives, needs and priorities of traditionally-underrepresented groups are increasingly important to incorporate into our work and discourse, it is incumbent on the OR/MS/Analytics field to consider what diversity, equity and inclusion mean to us, our progress towards becoming a more diverse profession, and how our research, teaching and practice would look like if diversity, equity and inclusion were at the center of our work. The occasion of the publication of an Editor’s Cut volume on diversity, equity and inclusion is an opportunity to reflect on the ...


Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He 2018 Fairfield University

Crude Oil Prices Forecasting: Time Series Vs. Svr Models, Xin James He

Journal of International Technology and Information Management

This research explores the weekly crude oil price data from U.S. Energy Information Administration over the time period 2009 - 2017 to test the forecasting accuracy by comparing time series models such as simple exponential smoothing (SES), moving average (MA), and autoregressive integrated moving average (ARIMA) against machine learning support vector regression (SVR) models. The main purpose of this research is to determine which model provides the best forecasting results for crude oil prices in light of the importance of crude oil price forecasting and its implications to the economy. While SVR is often considered the best forecasting model in ...


Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. McGehee, James Torner, Wayne Wakeland, Robert Wallace 2018 Department of Epidemiology, College of Public Health University of Iowa

Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. Mcgehee, James Torner, Wayne Wakeland, Robert Wallace

Systems Science Faculty Publications and Presentations

Background: Motor vehicle crashes remain the leading cause of teen deaths in spite of preventive efforts. Prevention strategies could be advanced through new analytic approaches that allow us to better conceptualize the complex processes underlying teen crash risk. This may help policymakers design appropriate interventions and evaluate their impacts.

Methods: System Dynamics methodology was used as a new way of representing factors involved in the underlying process of teen crash risk. Systems dynamics modeling is relatively new to public health analytics and is a promising tool to examine relative influence of multiple interacting factors in predicting a health outcome. Dynamics ...


A Biofuel Supply Chain Equilibrium Analysis With Subsidy Consideration, Amirsaman Hamzeh Bajgiran 2018 University of Wisconsin-Milwaukee

A Biofuel Supply Chain Equilibrium Analysis With Subsidy Consideration, Amirsaman Hamzeh Bajgiran

Theses and Dissertations

Growing environmental concerns in the last few decades along with the energy security issues have led governments to take actions to reduce their dependence on fossil fuels and enhance renewable energy usage, including biofuels. Enforcement of federal or state mandates and regulations that obligate a certain amount of biofuel production are one of the main levers that governments use to achieve their goals. In the U.S. as an example, Renewable Fuel Standard (RFS) requires the production of 36 billion gallons of ethanol by 2022, 21 billion gallons of which should be advanced biofuels derived from biostocks other than corn ...


Heuristic Algorithm To Minimize Total Weighted Tardiness On The Unrelated Parallel Machine With Sequence Dependent Setup And Future Ready Time, Tzu Yi Li 2018 University of Wisconsin-Milwaukee

Heuristic Algorithm To Minimize Total Weighted Tardiness On The Unrelated Parallel Machine With Sequence Dependent Setup And Future Ready Time, Tzu Yi Li

Theses and Dissertations

This study presents a heuristic algorithm to minimize total weighted tardiness on unrelated parallel machines with sequence-dependent setup time and future ready time. We propose a new rule based on Apparent Tardiness Cost (ATC). The performance of the rule is evaluated on unrelated parallel machines. In order to solve a problem, we use a look-ahead method and a job-swap method. When a machine becomes idle, the heuristic compares the jobs on the machine and selects the one with the smallest total tardiness value to carry out a process.

The propose heuristic is divided into three stages: The first stage employs ...


In Silico Analysis Of Advanced Processing Methods For Light-Weight Alloys Powders, Marjan Nezafati 2018 University of Wisconsin-Milwaukee

In Silico Analysis Of Advanced Processing Methods For Light-Weight Alloys Powders, Marjan Nezafati

Theses and Dissertations

Light-weight Al and Mg-based metal-matrix nanocomposites (MMNCs) are lauded as one of the most promising structural materials for vehicle, military, and construction applications. These MMNCs are often synthesized using the powder metallurgy (PM) process under liquid nitrogen cryogenic environments to control the grain sizes. It is believed that proper incorporation of the nitrogen species into the bulk lattice during processing could strongly enhance the mechanical properties of MMNCs by forming N-rich dispersoids. In this work, using the density-functional theory (DFT), the adsorption, absorption and diffusion behavior of nitrogen molecule/atoms have been studied and related to t Al and Mg ...


Thermal Comfort In Heated-And-Ventilated-Only Warehouses, Christian Taber, Donald G. Colliver 2018 Big Ass Fans

Thermal Comfort In Heated-And-Ventilated-Only Warehouses, Christian Taber, Donald G. Colliver

Biosystems and Agricultural Engineering Faculty Publications

Building energy codes and standards contain minimum requirements that provide a path to energy efficient buildings and building systems. ASHRAE/IES Standard 90.1 and the International Energy Conservation Code (IECC) are the main national building code models in the United States. Both Standard 90.1 and the IECC are updated on three-year cycles with the goal of reducing building energy consumption.


Reactive Navigation In Partially Known Non-Convex Environments, Vasileios Vasilopoulos, Daniel E. Koditschek 2018 University of Pennsylvania

Reactive Navigation In Partially Known Non-Convex Environments, Vasileios Vasilopoulos, Daniel E. Koditschek

Departmental Papers (ESE)

This paper presents a provably correct method for robot navigation in 2D environments cluttered with familiar but unexpected non-convex, star-shaped obstacles as well as completely unknown, convex obstacles. We presuppose a limited range onboard sensor, capable of recognizing, localizing and (leveraging ideas from constructive solid geometry) generating online from its catalogue of the familiar, non-convex shapes an implicit representation of each one. These representations underlie an online change of coordinates to a completely convex model planning space wherein a previously developed online construction yields a provably correct reactive controller that is pulled back to the physically sensed representation to generate ...


Table Of Contents Jitim Vol 27 Issue 3, 2018, 2018 California State University, San Bernardino

Table Of Contents Jitim Vol 27 Issue 3, 2018

Journal of International Technology and Information Management

Table of Contents


Real-Time Heuristics And Metaheuristics For Static And Dynammic Weapon Target Assignments, Alexander G. Kline 2018 Air Force Institute of Technology

Real-Time Heuristics And Metaheuristics For Static And Dynammic Weapon Target Assignments, Alexander G. Kline

Theses and Dissertations

The problem of targeting and engaging individual missiles (targets) with an arsenal of interceptors (weapons) is known as the weapon target assignment problem. This problem has been well-researched since the seminal work in 1958. There are two distinct categories of the weapon target assignment problem: static and dynamic. The static weapon target assignment problem considers a single instance in which a known number of incoming missiles is to be engaged with a finite number of interceptors. By contrast, the dynamic weapon target assignment problem considers either follow on engagement(s) should the first engagement(s) fail, a subsequent salvo of ...


Midpoint And Endpoint Sustainability Assessment Of U.S. And China Manufacturing: A Comparative Mrio+Recipe Analysis, Mustafa Saber 2018 University of New Haven

Midpoint And Endpoint Sustainability Assessment Of U.S. And China Manufacturing: A Comparative Mrio+Recipe Analysis, Mustafa Saber

Master's Theses

Manufacturing is among the most important industries for an economy, which creates value-added, fosters innovation, stimulates employment and economic growth. Therefore, manufacturing industries are crucial for a country’s sustainable development not only for economic reasons but also for social (.e.g. employment, tax, etc.) and environmental ones. Thus, manufacturing activities’ contribution to the economy is critically related with environmental and social impacts. Sustainable economic growth is essential and necessary for a country to provide all necessary goods and services to its growing population.

And, this is highly linke with the creation of new jobs and in this context, manufacturing ...


Budget-Constrained Regression Model Selection Using Mixed Integer Nonlinear Programming, Jingying Zhang 2018 University of Arkansas, Fayetteville

Budget-Constrained Regression Model Selection Using Mixed Integer Nonlinear Programming, Jingying Zhang

Theses and Dissertations

Regression analysis fits predictive models to data on a response variable and corresponding values for a set of explanatory variables. Often data on the explanatory variables come at a cost from commercial databases, so the available budget may limit which ones are used in the final model.

In this dissertation, two budget-constrained regression models are proposed for continuous and categorical variables respectively using Mixed Integer Nonlinear Programming (MINLP) to choose the explanatory variables to be included in solutions. First, we propose a budget-constrained linear regression model for continuous response variables. Properties such as solvability and global optimality of the proposed ...


System Engineering Analysis Of Terraforming Mars With An Emphasis On Resource Importation Technology, Brandon Wong 2018 Loyola Marymount University

System Engineering Analysis Of Terraforming Mars With An Emphasis On Resource Importation Technology, Brandon Wong

LMU/LLS Theses and Dissertations

This project uses System Engineering principles to delve into the viability of different methods for Terraforming Mars, with a comparison between Paraterraforming, Terraforming and Bioforming. It will then examine one subsystem that will be integral to the terraforming process, which is the space infrastructure necessary to import enough gases to recreate Earth’s atmosphere on Mars. It will analyze the viability of Chemical Rockets, Nuclear Rockets, Space Elevators, Skyhooks, Rotovators, Mass Drivers, Launch Loops and Orbital Rings for this subsystem and provide recommendations for an implementation plan.


Global Renewable And Nonrenewable Energy Use Impact Assessment Of U.S. Manufacturing: An Integrated Cradle-To-Gate Lca And Dea Approach, Bahadir Ezici 2018 University of New Haven

Global Renewable And Nonrenewable Energy Use Impact Assessment Of U.S. Manufacturing: An Integrated Cradle-To-Gate Lca And Dea Approach, Bahadir Ezici

Master's Theses

In this thesis, U.S. manufacturing industries` global supply chain-linked energy use and economic output are investigated considering a total of 16 renewable and nonrenewable energy carriers. A multiregion input output (MRIO) framework is employed to conduct the global supply chain-linked energy use impact assessment. The study period was between 1995 and 2014 based on data availability. Thus, 20 MRIO models were developed. Each MRIO model consists of the 40 largest economies of the world and the rest of the world (ROW) as the 41st country. Each country’s economy was structured into 35 manufacturing and service industries based on ...


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 2018 Singapore Management University

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 ...


Integrated Reward Scheme And Surge Pricing In A Ride-Sourcing Market, Hai YANG, Chaoyi SHAO, Hai WANG, Jieping YE 2018 Singapore Management University

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 ...


Credit Assignment For Collective Multiagent Rl With Global Rewards, Duc Thien NGUYEN, Akshat KUMAR, Hoong Chuin LAU 2018 Singapore Management University

Credit Assignment For Collective Multiagent Rl With Global Rewards, Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Information Systems

Scaling decision theoretic planning to large multiagent systems is challenging due to uncertainty and partial observability in the environment. We focus on a multiagent planning model subclass, relevant to urban settings, where agent interactions are dependent on their collective influence'' on each other, rather than their identities. Unlike previous work, we address a general setting where system reward is not decomposable among agents. We develop collective actor-critic RL approaches for this setting, and address the problem of multiagent credit assignment, and computing low variance policy gradient estimates that result in faster convergence to high quality solutions. We also develop difference ...


Process Improvement For Material Breakdown, Steven Brousseau, Matthew Klug, Kirshanthi Ganesa Moorthy, Michael Patten 2018 Iowa State University

Process Improvement For Material Breakdown, Steven Brousseau, Matthew Klug, Kirshanthi Ganesa Moorthy, Michael Patten

TSM 415 Technology Capstone Posters

Cell workers at Cardinal Glass are spending too much time and labor manually breaking down larger materials into smaller and more usable parts.


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