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

Operations Research, Systems Engineering and Industrial Engineering Commons™

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

13,803 Full-Text Articles 23,518 Authors 10,323,465 Downloads 184 Institutions

All Articles in Operations Research, Systems Engineering and Industrial Engineering

Faceted Search

13,803 full-text articles. Page 179 of 531.

Standardizing Patient Generated Sleep And Step Data For Evidation Health, Jade DeSmet, Monroe Erle, Jamie Cullen 2021 California Polytechnic State University, San Luis Obispo

Standardizing Patient Generated Sleep And Step Data For Evidation Health, Jade Desmet, Monroe Erle, Jamie Cullen

Industrial and Manufacturing Engineering

Since medical data has gone digital there has been a lack of standardization among wearable devices for managing the data. Evidation Health is a company that collects biometric data from a wide variety of wearable devices through their app, Achievement. Evidation is built upon a foundation of user privacy and control over permissioned health data. This project is in partnership with them, focusing on creating a standard data model and ETL tool for sleep and step data across the wearable devices Fitbit, Apple Watch, and Oura Ring. There is not yet a successful standardization for this health data, and the …


Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh 2021 University of Louisville

Optimization With Interval Data: New Problems, Algorithms, And Applications., Mohsen Mohammadi Dehcheshmeh

Electronic Theses and Dissertations

The parameters of real-world optimization problems are often uncertain due to the failure of exact estimation of data entries. Throughout the years, several approaches have been developed to cope with uncertainty in the input parameters of optimization problems, such as robust optimization, stochastic optimization, fuzzy programming, parametric programming, and interval optimization. Each of these approaches tackles the uncertainty in the input data with different assumptions on the source of uncertainty and imposes different requirements on the returned solutions. In this dissertation, the approach we take is that of interval optimization, and more specifically, interval linear programming. The two main problems …


Noise Control In Sorting Conveyors, Eyra Herrera 2021 University of Arkansas, Fayetteville

Noise Control In Sorting Conveyors, Eyra Herrera

Mechanical Engineering Undergraduate Honors Theses

E-commerce has increased the necessity of effective material handling equipment in warehouses and distribution centers. Sorter conveyors systems facilitate material handling by providing a reliable and automated system to classify and distribute products in a gentle and rapid manner. With the steady increase of speed in sorter conveyors to satisfy today’s industry demand, some systems have started to produce high noise levels that could potentially affect workers’ health. Since decreasing the speed of these conveyors is not a viable option to decrease noise in sorter equipment, industries have opted to find other ways to apply noise control to their equipment. …


An Investigation Of Barriers And Facilitators To Living Kidney Donation, Rachel E. Crenshaw 2021 University of Louisville

An Investigation Of Barriers And Facilitators To Living Kidney Donation, Rachel E. Crenshaw

Electronic Theses and Dissertations

There is strong interest in increasing living kidney donation, as the need for kidney transplants is quite high. Although previous studies outline some barriers and facilitators associated with donating, living kidney donation comprises only a small percentage of overall kidney transplants and thus further research on factors influencing the decision to donate is needed to find ways to increase the donor pool. Ten semi-structured interviews of living kidney donors were completed and analyzed for common themes that either support the current literature or surface additional barriers and facilitators. In addition, a systematic review and analysis of social medial support groups …


The Status Of Construction Jobsite Emergency Alert Systems In The Construction Industry, Steven E. Pulver 2021 Roger Williams University

The Status Of Construction Jobsite Emergency Alert Systems In The Construction Industry, Steven E. Pulver

Construction Management Theses

There are various types of emergency alert systems available in the construction industry from the air horn to more complex remote and app-based systems. This study utilizes an industry survey to identify the most commonly used emergency alert methods on jobsites, and the industry professionals’ knowledge and perceptions of app-based and remote emergency alert systems. Results indicate that the air horn is the most commonly used method of emergency alerts, and the construction industry is willing to spend more on the remote emergency alert systems compared to the app-based emergency alert systems. The major concerns from the construction industry are …


Adaptive Lean Manufacturing Implementation For Organizations With Rapid Leadership Turnover, Brett Babcock 2021 University of Texas at El Paso

Adaptive Lean Manufacturing Implementation For Organizations With Rapid Leadership Turnover, Brett Babcock

Open Access Theses & Dissertations

Lean Six Sigma seeks to optimize workplace efficiency and is now world renowned as the standard for how to maximize profits, perfect quality control, and emphasize workplace safety. Almost every large scale engineering company has in some shape or form a Lean Six Sigma aimed concept of operations to the point that a subset of the Lean Six Sigma Institute is focused towards compiling packages to assist those companies that have not implemented it to make the transition. These packages while efficient, operate with the understanding that the ideologies they deploy will be implemented from the top down and that …


A Matheuristic Algorithm For The Vehicle Routing Problem With Cross-Docking, Aldy GUNAWAN, Audrey Tedja WIDJAJA, Pieter VANSTEENWEGEN, Vincent F. YU 2021 Singapore Management University

A Matheuristic Algorithm For The Vehicle Routing Problem With Cross-Docking, Aldy Gunawan, Audrey Tedja Widjaja, Pieter Vansteenwegen, Vincent F. Yu

Research Collection School Of Computing and Information Systems

This paper studies the integration of the vehicle routing problem with cross-docking (VRPCD). The aim is to find a set of routes to deliver products from a set of suppliers to a set of customers through a cross-dock facility, such that the operational and transportation costs are minimized, without violating the vehicle capacity and time horizon constraints. A two-phase matheuristic based on column generation is proposed. The first phase focuses on generating a set of feasible candidate routes in both pickup and delivery processes by implementing an adaptive large neighborhood search algorithm. A set of destroy and repair operators are …


Bidding Enabled Inventory Redistribution In A Retail Network, Hafsa Binte Mohsin 2021 University of Texas at Arlington

Bidding Enabled Inventory Redistribution In A Retail Network, Hafsa Binte Mohsin

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

This research aspires to develop a systematic approach to minimize the demand and supply gap of products and product expiration in a feasible way. Inventory replenishment policy, uncertain customer demand, and forecast inaccuracy are some of the reasons that create imbalanced stocks in the outlets. Lateral transshipment or redistribution, donation, and promotion have been discussed in the existing literature separately as ways to balance and utilize inventory. Redistribution needs to account for extra transportation costs due to stock transfer. Existing literature on redistribution fails to address products’ physical attributes, valuation of products as a function of time, and constraint on …


Approximate Difference Rewards For Scalable Multigent Reinforcement Learning, Arambam James SINGH, Akshat KUMAR, Hoong Chuin LAU 2021 Singapore Management University

Approximate Difference Rewards For Scalable Multigent Reinforcement Learning, Arambam James Singh, Akshat Kumar, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

We address the problem ofmultiagent credit assignment in a large scale multiagent system. Difference rewards (DRs) are an effective tool to tackle this problem, but their exact computation is known to be challenging even for small number of agents. We propose a scalable method to compute difference rewards based on aggregate information in a multiagent system with large number of agents by exploiting the symmetry present in several practical applications. Empirical evaluation on two multiagent domains - air-traffic control and cooperative navigation, shows better solution quality than previous approaches.


Carbon Nanotori Structures For Thermal Transport Applications On Lubricants, Jaime Taha-Tijerina, Karla Aviña, Juan Manuel Martínez, Patsy Yessenia Arquieta-Guillén, Marlon González-Escobedo 2021 The University of Texas Rio Grande Valley

Carbon Nanotori Structures For Thermal Transport Applications On Lubricants, Jaime Taha-Tijerina, Karla Aviña, Juan Manuel Martínez, Patsy Yessenia Arquieta-Guillén, Marlon González-Escobedo

Manufacturing & Industrial Engineering Faculty Publications

Carbon nanostructures have been recently applied to improve industrial manufacturing processes and other materials; such is the case for lubricants used in the metal-mechanic industry. Nanotori are toroidal carbon nanostructures, obtained from chemical treatment of multi-wall carbon nanotubes (MWCNTs). This material has been shown to have superb anti-wear and friction reduction performance, having the ability to homogeneously disperse within water in concentrations between 1-2 wt.%. Obtained results of these novel nanostructures under water mixtures and novel additives were a set point to our studies in different industrial lubricants. In the present work, nanotori structures have been applied in various filler …


Co-Designing Ai Tools To Reduce Kidney Discard, Casey Hines 2021 Missouri University of Science and Technology

Co-Designing Ai Tools To Reduce Kidney Discard, Casey Hines

Undergraduate Research Conference at Missouri S&T

Currently, there are about 94,000 people on the kidney transplant waiting list. Less than one-third will receive a new kidney this year. Unfortunately, some kidneys that could have been transplanted into a new recipient, end up being discarded. The largest group of discarded kidneys are ones that are high-risk. At present, an organ procurement organization will send out offers for an available kidney to transplant centers. These offers go out in chronological order following the kidney transplant waiting list. A single high-risk kidney could potentially go through hundreds of offers before being accepted by a transplant center. The longer the …


Behavioral Science Can Increase Zipper Merge Usage, Maria Galbraith 2021 Missouri University of Science and Technology

Behavioral Science Can Increase Zipper Merge Usage, Maria Galbraith

Undergraduate Research Conference at Missouri S&T

Research demonstrates that zipper merges (or late merges), under heavy traffic conditions, are safer and faster than a traditional early merge. In implementation, zipper merges can be less efficient due to a lack of compliance on the part of drivers, often more accustomed to early merging. Behavioral science has been applied to a many transportation-related challenges, such as increasing seat belt usage and decreasing drinking and driving but has not yet been applied to the zipper merge. We have identified six relevant behavioral science strategies including (1) social norms, (2) appeals to reason, (3) emotional appeals, (4) humor, (5) memory …


Versatile Home Workspace Environment, Kayli Holmes 2021 western michigan university

Versatile Home Workspace Environment, Kayli Holmes

Honors Theses

Since the initial spread of COVID-19, many individuals around the world have experienced a rapid shift from an external workplace, to needing a dedicated workspace within the home. While some individuals have been faced with new distractions like family members and pets, others have been faced with the struggle of having a workspace in common areas, where relaxation and socialization normally occur. Due to the needs for many people to work from home and be isolated from coworkers, it is essential for living spaces to be adaptable to meet these needs. Producing an effective separation can help lead to overall …


Heuristics For Capacity Allocation And Queue Assignment In Congested Service Systems With Stochastic Customer Demand And Immobile Servers, Adam Colley 2021 Southern Methodist University

Heuristics For Capacity Allocation And Queue Assignment In Congested Service Systems With Stochastic Customer Demand And Immobile Servers, Adam Colley

Operations Research and Engineering Management

We propose easy-to-implement heuristics for a problem referred to in the literature as the facility location problem with immobile servers, stochastic demand, and congestion, or the service system design problem. The problem is typically posed as one of allocating capacity to a set of M/M/1 queues to which customers with stochastic demand are assigned with the objective of minimizing a cost function composed of a fixed capacity-acquisition cost, a variable customer-assignment cost, and an expected-waiting-time cost. The expected-waiting-time cost results in a non-linear term in the objective function of the standard binary programming formulation of the problem. Thus, the solution …


Mesoscopic Traffic Simulation Model And Calibration Considering Stretching-Segment Design, Zhaocheng He, Xuanhua Lin, Peilin Nie, Ronghui Zhang 2021 1. Research Center of Intelligent Transport System, Sun Yat-Sen University, Guangzhou 510006, China; ;2. Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510006, China; ;

Mesoscopic Traffic Simulation Model And Calibration Considering Stretching-Segment Design, Zhaocheng He, Xuanhua Lin, Peilin Nie, Ronghui Zhang

Journal of System Simulation

Abstract: In order to make the simulation model fit the characteristics of urban traffic, both high accuracy and high performance, a lightweight mesoscopic traffic simulation system and the process of calibration are established. The speed-density model and vertical queue model are equivalent to the vehicle movement processes, the simulation accuracy and calibration efficiency are improved by the stretching-segment design at urban intersections of vertical queuing model, and the real individual vehicle information is used as the calibration data source. The application of the model in Xuancheng urban road network shows that, compared with the vertical queuing model, it can …


Modeling And Simulation Of Electric Vehicle Industry Development Based On System Dynamics, Yueqiang Fu, Tiantian Xia 2021 The Center of Collaboration and Innovation, Jiangxi University of Technology, Nanchang 330098, China;

Modeling And Simulation Of Electric Vehicle Industry Development Based On System Dynamics, Yueqiang Fu, Tiantian Xia

Journal of System Simulation

Abstract: New energy electric vehicle are the main trend of automobile industry upgrading. It plays an important role in ensuring the energy security and improving the ecological environment. It is of theoretical and practical significance to carry out research on the development of new energy electric vehicles. The affecting factors are systematically analyzed, the causal relationship model and stock flow model are established, and the dynamic equation of the model are determined and the parameter assignments are made. The model is verified and the system simulation and analysis are performed. The development trend and main influencing factors of …


Small Fault Detection Based On Cumulative Sum Of Neighbor Statistic, Xiaoping Guo, Jiajun Gao, Jianbin Guo, Li Yuan 2021 Information Engineering School, Shenyang University of Chemical Technology, Shenyang 110142, China;

Small Fault Detection Based On Cumulative Sum Of Neighbor Statistic, Xiaoping Guo, Jiajun Gao, Jianbin Guo, Li Yuan

Journal of System Simulation

Abstract: Aiming at the small faults and the common data non-linear problems of industrial process, a fault detection method based oncumulative sum of neighbor statistic (CUSUM-NS) is proposed. Mutual information principal component analysis (MIPCA) is used to reduce the dimension of training data, and the principal components based on mutual information are extracted to construct a new sample space. For the new sample space after dimensionality reduction, the nonlinear features of the process data can be fully extracted through the distance square sum statistics of k nearest neighbors. Cumulative summation(CUSUM) method is used to accumulate the sum of squares of …


Visual Simulation Platform For Visible Light Reconnaissance Load Of Unmanned Aerial Vehicle, Yuzhou Chen, Li Yuan, Qinglin Wang, Zhang Qing, Jinyuan Zhang 2021 1. Beijing Institute of Technology, School of Automation, Beijing 100081, China; ;

Visual Simulation Platform For Visible Light Reconnaissance Load Of Unmanned Aerial Vehicle, Yuzhou Chen, Li Yuan, Qinglin Wang, Zhang Qing, Jinyuan Zhang

Journal of System Simulation

Abstract: In view of the simulation and evaluation requirement of the visual system parameters on the performance of video imaging during the operation and reconnaissance of unmanned aerial vehicle, a visual simulation platform for the reconnaissance load is designed and constructed. The collected video is processed according to the visual system parameters and the flight parameters, and the support for the evaluation and the index design of the unmanned aerial vehicle reconnaissance load system is provided, and the guidance is provided for the flight parameters and the flight track setting when the unmanned aerial vehicle reconnaissance and operation …


Research On Some Questions Of Simulation Body Of Knowledge, Xiaogang Qiu, Duan Hong, Xie Xu, Bin Chen 2021 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;2. The PLA's 31002 Unit, Beijing 100094, China;

Research On Some Questions Of Simulation Body Of Knowledge, Xiaogang Qiu, Duan Hong, Xie Xu, Bin Chen

Journal of System Simulation

Abstract: Simulation body of knowledge (BOK) is the knowledge required to conduct Modeling and Simulation (M&S) activities, which is a logic system consisting of concepts, propositions, and inferences that are tightly related to each other. The simulation BOK organizes the M&S knowledge in a hierarchical way, reflects the composition and structure of the knowledge in the M&S domain. The establishment of the simulation BOK is crucial to advance the M&S research and education. The requirements for establishing the simulation BOK are summarized, three basic features of the simulation knowledge, practical, systematical, and epochal are discussed, the challenges of establishing the …


Study On Composition Of Simulation Discipline Knowledge Areas, Duan Hong, Xiaogang Qiu, Xie Xu, Rusheng Ju 2021 1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;

Study On Composition Of Simulation Discipline Knowledge Areas, Duan Hong, Xiaogang Qiu, Xie Xu, Rusheng Ju

Journal of System Simulation

Abstract: Many disciplines, such as Software Engineering, Automation, have sorted out and formed their own knowledge areas and constructed their Body of Knowledge to steer teaching and study efforts. Describing the composition of Modeling and Simulation body of knowledge from the perspective of knowledge area plays an important role in the simulation engineering education and the development of simulation technology. According to the needs of simulation teaching, the body of knowledge of simulation discipline is divided into three levels, knowledge area, knowledge unit and knowledge topic. On the basis of reviewing the current status of the research and the role …


Digital Commons powered by bepress