Operations Research, Systems Engineering and Industrial Engineering Commons^™

System-Wide Prediction Of General, All-Cause, Preventable Hospital Readmissions, Ken Musselman, Brandon Pope, Steve Witz, Zhiyi Tian, Lingsong Zhang, Linda Leon, Ann Davis

RCHE Publications

Existing studies of hospital readmissions typically focus on specific diagnoses, age groups, discharge dispositions, payer classes, or hospitals, and often use small samples. It is not clear how predictive models generated from such studies generalize across diseases, hospitals, or time periods. In this study, a logistic regression model of readmission risk within 30 days based on hospital administrative data was constructed and validated across hospitals and time periods. The hospitals included both general and specialty hospitals such as long-term care, women’s, and children’s hospitals. The administrative data included information on patient’s demographics, diagnoses, procedures, and discharge disposition. Derivation and validation …

Ergonomic Analysis Of Mobile Cart–Assisted Stocking Activities Using Electromyography, Sohyung Cho

SIUE Faculty Research, Scholarship, and Creative Activity

Workers in grocery stores are exposed to numerous musculoskeletal risks that can be reduced using assistive devices while performing stocking tasks. A regional grocery store has recently deployed a mobile cart without comprehension of its ergonomic impact on workers, which this article investigates using normalized electromyography data (%MVC). This article studies not only ergonomic impact based on %MVC values but also work performance represented by a muscle force metric (MFM). The results from this study showed highest muscle groups in %MVC and MFM were the erector spinae and triceps. Interestingly, muscle activations on erector spinae were reduced when mobile cart …

On Valuing Biopharmaceutical Product Pipelines: An Effectuation Model And Evidence, Mark J. Ahn, Anne S. York, Wei Wu, Yulianto Suharto, Tugrul Unsal Daim

Engineering and Technology Management Faculty Publications and Presentations

New creative approaches are needed to manage emerging biotechnology innovations, regulations, and payor environments to enhance product pipeline productivity, valuation, and risk management. Biopharmaceutical firms must make dynamic resource allocation decisions on their relative levels of internal R&D and external strategic alliances in furthering their pipelines. As the predominant method of using discounted cash flow (DCF) methodologies may lead to chronic underinvestment and performance, we evaluated the integration of traditional DCF with an effectuation model of analysis. Unlike traditional financial models that begin with the end goal of assumed known cash flows and recursively solve for portfolio optimization, the effectuation …

Fuel Consumption Models For Tractors With Partial Drawbar Loads, Bryan Jeffrey Smith

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Three models for predicting fuel consumption for agricultural tractors with partial drawbar loads were compared. Data were collected from eight John Deere tractors, JD 7230R (e23), 7250R (e23), 7270R (e23), 7290R (e23), 7290R (IVT), 8320R (16 speed), 8345RT (IVT), 8370R (IVT). The tractors were tested with 7 load levels per speed at four different travel speeds as close as possible to 4, 7.5, 10, and 13 km·h^-1. The IVT tractors were operated in Auto mode and the geared tractors were shifted up three gears and throttled back to the same travel speeds as the IVT tractors. The 7 …

The Prediction Predicament, William "Ike" Eisenhauer

Engineering and Technology Management Faculty Publications and Presentations

The article focuses on the prediction of predicament in terms of forecasting at industrial engineering level. Topics discussed include business optimize resources via forecasting; audience who cannot comprehend the methodology used for forecasting in healthcare operations; and use of forecasting for performance measurement.

Robust Execution Strategies For Project Scheduling With Unreliable Resources And Stochastic Durations, Na Fu, Hoong Chuin Lau, Pradeep Varakantham

Research Collection School Of Computing and Information Systems

The resource-constrained project scheduling problem with minimum and maximum time lags (RCPSP/max) is a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). We consider RCPSP/max problems where the durations of activities are stochastic and resources can have unforeseen breakdowns. Given a level of allowable risk, (Formula presented.), our mechanisms aim to compute the minimum robust makespan execution strategy. Robust makespan for an execution strategy is any makespan value that has a risk less than (Formula presented.). The risk for a makespan value, (Formula presented.) given an execution strategy, is the probability that a …

Analyzing Responses From Likert Surveys And Risk-Adjusted Ranking: A Data Analytics Perspective, Abhijit Gosavi

Engineering Management and Systems Engineering Faculty Research & Creative Works

We broadly consider the topic of ranking entities from surveys/opinions. Often, numerous ranks from different respondents are available for the same entity, e.g., a candidate from a pool, and yet an averaging of those ranks may not serve the purpose of identifying a consensus candidate. We first consider a risk-adjusted paradigm for ranking, where the rank is defined as the average (mean) rank plus a scalar times the risk in the rank; we use standard deviation as a risk metric. In case of a candidate being ranked either on the basis of opinions of a selection committee's members or on …

Determination Of Rule Patterns In Complex Event Processing Using Machine Learning Techniques, Nijat Mehdiyev, Julian Krumeich, David Lee Enke, Dirk Werth, Peter Loos

Engineering Management and Systems Engineering Faculty Research & Creative Works

Complex Event Processing (CEP) is a novel and promising methodology that enables the real-time analysis of stream event data. The main purpose of CEP is detection of the complex event patterns from the atomic and semantically low-level events such as sensor, log, or RFID data. Determination of the rule patterns for matching these simple events based on the temporal, semantic, or spatial correlations is the central task of CEP systems. In the current design of the CEP systems, experts provide event rule patterns. Having reached maturity, the Big Data Systems and Internet of Things (IoT) technology require the implementation of …

Engineering Cyber Physical Systems: Machine Learning, Data Analytics And Smart Systems Architecting Preface, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

Multi-faceted systems of the future will entail complex logic with many levels of reasoning in intricate arrangement. The organization of these systems involves a web of connections and demonstrates self-driven adaptability. They are designed for autonomy and may exhibit emergent behavior that can be visualized.

We are building systems that are created by a network of physical objects that contain embedded technology to communicate and interact with their internal states or the external environment. These changes in technology and deployment of system of systems having these new characteristics are demanding new ways of thinking and engineering. These are complex adaptive …

Noise Canceling In Volatility Forecasting Using An Adaptive Neural Network Filter, Soheil Almasi Monfared, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

Volatility forecasting models are becoming more accurate, but noise looks to be an inseparable part of these forecasts. Nonetheless, using adaptive filters to cancel the noise should help improve the performance of the forecasting models. Adaptive filters have the advantage of changing based on the environment. This feature is vital when they are used along with a model for volatility forecasting and error cancellation in the financial markets. Nonlinear Autoregressive (NAR) neural networks have simple structures, but they are efficient tools in error cancelation systems when working with non-stationary and random walk noise processes. For this research, an adaptive threshold …

Optimizing Macd Parameters Via Genetic Algorithms For Soybean Futures, Phoebe S. Wiles, David Lee Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

To create profits, traders must time the market correctly and enter and exit positions at ideal times. Finding the optimal time to enter the market can be quite daunting. The soybean market can be volatile and complex. Weather, sentiment, supply, and demand can all affect the price of soybeans. Traders typically use either fundamental analysis or technical analysis to predict the market for soybean futures' contracts. Every agricultural future's contract or security contract is different in its nature, volatility, and structure. Therefore, the purpose of this research is to optimize the moving average convergence divergence parameter values from traditionally used …

Selecting Attributes, Rules, And Membership Functions For Fuzzy Sos Architecture Evaluation, Louis Pape, Siddhartha Agarwal, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

The development of the FILA-SoS meta-architecture approach to acknowledged systems of systems (SoS) analysis allows a relatively unbiased method for exploring a potential SoS architecture space. This paper delves more deeply into the process of building the lists of desirable fuzzy attributes of a SoS, developing rules for combining attribute values to an overall assessment, and discovering membership function shapes that work well. A wide range of options exist for all the individual elements of SoS assessment. Some recommendations for finding an appropriate combination for the adjustable parameters of fuzzy assessment models through random architecture chromosome testing and iteration are …

Predicting Public Bicycle Adoption Using The Technology Acceptance Model, Benjamin T. Hazen, Robert E. Overstreet, Yacan Wang

Faculty Publications

Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning …

A Multi-Criteria Gis-Based Route Selection Tool For Hazardous Material Transport: Consideration Of Environmental Consequence, Traffic Congestions And Costs, Bahareh Inanloo

FIU Electronic Theses and Dissertations

Hazardous materials are substances that, if not regulated, can pose a threat to human populations and their environmental health, safety or property when transported in commerce. About 1.5 million tons of hazardous material shipments are transported by truck in the US annually, with a steady increase of approximately 5% per year.

The objective of this study was to develop a routing tool for hazardous material transport in order to facilitate reduced environmental impacts and less transportation difficulties, yet would also find paths that were still compelling for the shipping carriers as a matter of trucking cost. The study started with …

If You Commit, That Old Gown Looks Just Fine, William "Ike" Eisenhauer

Engineering and Technology Management Faculty Publications and Presentations

In this article, the author discusses issues pertaining to improvement of health systems, comparing the systems with Victorian ball gown. He states that significant elements of the improvement processes of the systems like removal of clutter, and workflow and paperwork, and mentions roles of industrial and systems engineering beyond business process improvement. He highlights the need of commitment for improving the systems by business enterprises.

The Application Of Gage R&R Analysis In S Six Sigma Case Of Improving And Optimizing An Automotive Die Casting Product’S Measurement System, Qizheng Ren

Masters Theses & Specialist Projects

With the rapid development of automation technology in automotive manufacturing processes, massive and efficient production is a current trend. Therefore, measurement systems with accurate and automated measuring instruments are sought by automotive companies and suppliers. However, the problematic measuring instruments with unreliable accuracy and stability lead to erroneous measurements and wrong quality decisions that cause manufacturers huge profit losses. An effective method called “measurement system analysis” can be applied to define and eliminate erroneous measurements to ensure adequate reliability. An automotive transmission die casting parts supplier called company T was suffering a serious profit loss due to the erroneous measurements …

Optimal Configuration Of Remanufacturing Supply Network With Return Quality Decision, Mohannad Radhi, Guoqing Zhang

Mechanical, Automotive & Materials Engineering Publications

No abstract provided.

Analysis Of A Clinically Failed, Mechanically Intact, Reconstructive Compression Plate, Bharadwaj Cheruvu, Sunil Karmacharya, Richard T. Laughlin, Tarun Goswami

Biomedical, Industrial & Human Factors Engineering Faculty Publications

A reconstructive orthopedic bone plate was submitted for analysis. Traditional failure analysis methods were used to assess the mode of the plate failure. Metallographic investigation of the plate was carried out in this report. Since limited data was available in the literature and clinical data related to subject demography, date of removal as well as reasons for removal unknown, in depth analysis was not possible. However, the plate was received in in-tact condition with minor biological deposits and scratches, it is speculated that the failure of the plate may have been due to biological/clinical reasons, likely infection, rejecting the device …

Haptics-Based Cataract Surgery Simulator, Jia Luo

Link Foundation Modeling, Simulation and Training Fellowship Reports

Surgical training using computer-based simulators are being adopted by many medical specialties, mainly because they offer several advantages to traditional training methods involving animals or cadavers. This article focuses on the design and implementation of a haptics-based cataract surgery simulator.

A Rolling Horizon Auction Mechanism And Virtual Pricing Of Shipping Capacity For Urban Consolidation Centers, Chen Wang, Hoong Chuin Lau, Yun Fong Lim

Research Collection School Of Computing and Information Systems

A number of cities around the world have adopted urban consolidation centers (UCCs) to address challenges of last-mile deliveries. At the UCC, goods are consolidated based on their destinations prior to their deliveries into city centers. Typically, a UCC owns a fleet of ecofriendly vehicles to carry out such deliveries. Shippers/carriers that make use of the UCC’s service hence no longer need to be restricted by timewindow and vehicle-type regulations. As a result, they retain the ability to deploy large trucks for the economies of scale from the source to the UCC which is located outside the city center. Furthermore, …

Designing Bus Transit Services For Routine Crowd Situations At Large Event Venues, Jianli Du, Shih-Fen Cheng, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

We are concerned with the routine crowd management problem after a major event at a known venue. Without properly design complementary transport services, such sudden crowd build-ups will overwhelm the existing infrastructure. In this paper, we introduce a novel flow-rate based model to model the dynamic movement of passengers over the transportation flow network. Based on this basic model, an integer linear programming model is proposed to solve the bus transit problem permanently. We validate our model against a real scenario in Singapore, where a newly constructed mega-stadium hosts various large events regularly. The results show that the proposed approach …

Mapping Kinematic Functional Abilities Of The Hand To Three Dimensional Shapes For Inclusive Design, Samuel T. Leitkam, Laura Bix, Javier De La Fuente, Tamara Reid Bush

Industrial Technology and Packaging

Loss of hand function can have adverse effects on an individual's ability to maintain independence. The ability to perform daily activities, such as food preparation and medication delivery, is dependent on the hand's ability to grasp and manipulate objects. Therefore, the goal of this research was to demonstrate that three dimensional (3D) modeling of hand function can be used to improve the accessibility of handheld objects for individuals with reduced functionality through informed design. Individual models of hand functionality were created for 43 participants and group models were developed for groups of individuals without (Healthy) and with reduced functionality due …

The Influence Of Cu3(Btc)2 Metal Organic Framework On The Permeability And Perm-Selectivity Of Plla-Mof Mixed Matrix Membranes, Ajay Kathuria, Saleh Al-Ghamdi, Mohamad G. Abiad, Rafael Auras

Industrial Technology and Packaging

Poly(l-lactic acid) (PLLA) - 20% (w/w) and Cu₃(BTC)₂ metal organic framework (MOF) based mixed matrix membranes (MMMs) were fabricated by a vertical corotating twin screw microcompounder followed by an injection molding process. Water vapor, CO_2, O₂, and selected aroma mass transfer properties of PLLA and PLLA MMMs were evaluated. The CO₂/O₂ perm-selectivity of PLLA (α_CO2/O2) MMMs increased from 7.6 to 10.3 with the incorporation of 20% Cu₃(BTC)₂ MOF. Gravimetric permeability studies of trans-2-hexenal performed at 23°C and 50% RH indicated that permeability coefficient of PLLA MMMs …

Cloud Service Adoption Decision, Greg Wease, Chih-Jen Yu, Kwasi Boateng, Leong Chan

Engineering and Technology Management Faculty Publications and Presentations

Many organizations with an IT infrastructure consisting of a combination of hardware and software, look for ways to achieve greater efficiencies, cost-savings associated with maintenance and upkeep, ease of use, while maintaining a great level of security. The main idea behind this research paper is to better understand the decision-making process with respect to how an IT organization evaluates its needs and chooses between different computer-hosting environments, i.e.: public cloud, private cloud, hybrid – combination of public and private cloud, lastly, an in-house platform, which is hosted internal to the organization and/or via a datacenter. A widely-accepted definition of “Cloud …

Supporting Sustainable Technology Cluster Development: A Performance Measurement Problem, Elizabeth Gibson

Engineering and Technology Management Faculty Publications and Presentations

Managers require metrics to measure organizational performance. However, metrics used by organizations that support technology cluster development are poorly understood in the literature. The most frequently referenced indicator for cluster development is regional economic and jobs data. These macro level indicators are not sufficient to measure the performance inside the cluster, leaving champions and policy makers to struggle with ad-hoc trial and error experimentation. The difficulty in defining and developing a performance measurement system is addressed. This paper lays the groundwork for improved approaches towards measuring the performance of technology cluster initiatives.

Managing Technology Push Through Marketing Testbeds: The Case Of The Hi-Tech Center In Vienna, Austria, Rainer Hasenauer, Charles M. Weber, Peter Filo, Jozef Orgonáš

Engineering and Technology Management Faculty Publications and Presentations

The ‘technology push’ approach to technology development rests on the assumption that if you make it, they will come. This assumption carries significant market risk. The technology may miss its intended market window, or the market that was anticipated at the inception of technology development no longer exists at the time of market release. This paper discusses how the Hi Tech Center in Vienna, Austria, a multi national collaborative effort between industry and universities in Central Europe, helps its clients manage technology push by deploying the marketing testbed approach. After identifying lead users for a client’s technology, it characterizes and …

Assessing The Effectiveness Of Big Data Initiatives, Nayem Rahman, Fahad Aldhaban

Engineering and Technology Management Faculty Publications and Presentations

There is a great enthusiasm with the prospect of big data among business and industry leaders, academia and researchers. A lot of big data tools and technologies have emerged recently to capture, store, process and analyze big data. One remarkable achievement is that a handful of open source technologies have been introduced by Apache Hadoop Foundation that allows any organization to undertake big data projects. Many big data projects have been implemented during the last few years. This paper explores the benefits achieved with those projects. Big data has been applied in diverse fields including scientific and medical discovery projects, …

Exploring The Adoption And Use Of The Smartphone Technology In Emerging Regions: A Literature Review And Hypotheses Development, Fahad Aldhaban, Tugrul Unsal Daim, Robert R. Harmon

Engineering and Technology Management Faculty Publications and Presentations

Users’ acceptance of a new information technology (IT) is a determining factor of its market success. A solid understanding of the users’ adoption process and use behavior enables a more robust definition of user requirements and better market alignment. This is especially important in markets characterized by rapid technological change such as smartphones. The Technology Acceptance Model (TAM) is often used to assess the factors affecting adoption of new technologies. However, TAM models often omit the role of important variables such as human and social factors in the adoption process. In developing markets such as China, cultural and social influences …

Financial Analysis And Comparison Of Compact Electric And Gasoline Cars, Jing Jiang, Alexander Blank, Felix Maier, Anjan Bharthepudi

Engineering and Technology Management Faculty Publications and Presentations

In the paper, a PESTLE (political, economic, social, technical, legal, and environmental) analysis is used to conduct an initial evaluation for electric vehicles (EV) and gasoline cars. Furthermore, two cash flow models are created to describe the scenarios of both gasoline and electric car respectively. Based upon the proposed models, the equivalent uniform annual cost (EUAC) methodology is used to calculate the cost during the period of car ownership. Four compact EVs and five compact gasoline cars are selected in the analysis. The results expose that the actual return of federal tax credit impacts the EUAC value. The 50% return …

Siting A Wind Farm In Oregon: Considering A Hierarchical Decision Model With Four Scenarios, Diane Yates

Engineering and Technology Management Faculty Publications and Presentations

This paper primarily serves two purposes: first, it looks to develop a methodology that takes scenarios and certain hard-to-measure intangibles such as politics, social impact, and even religion; as well as more tangible and measurable variables such as environmental impacts, cost and types of materials, storage and wind turbine technologies, to name a few, that then could be used as input to a decision-making model on where to build a wind farm. The hierarchical decision model (HDM) then analyzes these variables, based on an independent judging panel, in order to come up with a recommendation for the best site on …