Operations Research, Systems Engineering and Industrial Engineering Commons^™

Characterization Of The Relationship Between Firms And Universities And Innovation Performance: The Case Of Colombian Firms, Fredy Gomez, Tugrul U. Daim, Jorge Robledo

Engineering and Technology Management Faculty Publications and Presentations

Within the National Innovation System, universities play a key role as the main source of knowledge that supports national productivity and as a system that seeks to improve the competitiveness of firms competitiveness and to find answers concerning market needs in today’s fast-changing and globalized economy. Innovation, as a source of competitiveness, is normally supported by a firm’s technological capabilities: internal R&D, external collaborative agreements, and relationships with universities. This study uses a cluster analysis to identify three clusters that represent respectively those firms that interact closely with universities for technology development (which include R&D projects) and technological learning activities, …

Relaxation Adaptive Memory Programming For The Resource Constrained Project Scheduling Problem, Robert Christopher-Lee Riley

Electronic Theses and Dissertations

The resource constrained project scheduling problem (RCPSP) is one of the most intractable problems in operations research; it is NP-hard in the strong sense. Due to the hardness of the problem, exact solution methods can only tackle instances of relatively small size. For larger instances commonly found in real applications heuristic solution methods are necessary to find near-optimal solutions within acceptable computation time limits. In this study algorithms based on the relaxation adaptive memory programming (RAMP) method (Rego, 2005) are developed for the purpose of solving the RCPSP. The RAMP algorithms developed here combine mathematical relaxation, including Lagrangian relaxation and …

Injury Prevention With Physical Therapy, Karen Kott, Margaret F. Lemaster

Rehabilitation Sciences Faculty Publications

(First paragraph) Ergonomics is the study of human performance (positioning and movement) and workplace design, such as equipment, ambience, and placement. The purpose of ergonomics is to maximize productivity by increasing safety, improving work quality, reducing operator fatigue and discomfort, and decreasing the risk of work -related musculoskeletal disorders (MSDs).^1-3

Investigation Of Mirror Image Bias: Evidence For The Use Of Psychophysiological Measures As Indicators Of Cognitive Heuristics, Caroline R. Salchak

Browse all Theses and Dissertations

The Mirror Imaging Bias (MIB) is gaining attention as a prominent quality factor in analysts' performance. MIB is an irrationality in which analysts perceive and process information through the filter of personal experience. As evidenced by notable historical events, the consequences of this bias can be dramatic. A way to understand MIB in humans is sought. How analysts analyze data, are trained, and interact with biases is explored. An experiment testing for the appearance of MIB was designed and completed. Measures from an eye tracker as well as physiological measures were collected. Results show a significant correlation between pupil diameter …

Painted Rumble Stripes: Alternatives To Raised Pavement Markers (Rpms), Thomas M. Brennan Jr, Stuart R. Mikey, Darcy M. Bullock

JTRP Posters

This poster highlights research completed by the Joint Transportation Research Program (JTRP) led by Darcy Bullock, Lyles School of Civil Engineering, Purdue University, for JTRP Project SPR-3528, "Alternatives to Raised Pavement Markers (RPMs)." The poster includes photos taken at a construction site on State Road 25 located near Shadeland, Indiana. The top photo demonstrates how the center line corrected a driver when snow covered to avoid oncoming traffic. Photo was taken on US 231 near Country Road 800 in Tippecanoe County.

2013-14 Indiana Interstate Mobility Summary, Steve M. Remias, Howell Li, Darcy M. Bullock

JTRP Posters

These posters highlight the speed and mobility metrics on four of Indiana’s interstates (I-94, I-65, I-465, and I-70). The posters are part of the effort by the Indiana Department of Transportation to characterize mobility concerns on the statewide interstate system.

Striping Truck Utilization Project, Jon R. Padfield, James Handy

JTRP Posters

This poster highlights research completed by the Joint Transportation Research Program (JTRP) led by Jon Padfield and James Handy, Purdue University for JTRP project SPR-3722, “Striping Truck Utilization for Crawfordsville and Greenfield District.” This poster highlights the transformation of striping trucks at both districts using Value Stream Mapping (VSM) through the Technical Assistance Program.

Sustainability Analysis In Integrated Inventory Control And Transportation Systems, Brian Joseph Schaefer

Doctoral Dissertations

"Due to the importance of costs as well as environmental effects of logistical activities throughout supply chains, such as inventory holding, freight transportation, and warehousing activities, this dissertation models and analyzes four integrated inventory control and transportation problems that account for economic and environmental aspects of a supply chain agents related decisions.

The first model presents an integrated inventory control and transportation problem in a single item deterministic demand setting. A supply chain agents inventory control and transportation mode selection problem is solved under carbon cap, carbon cap and trade, carbon cap and offset, and carbon tax regulations. The second …

Development And Application Of An Analyst Process Model For A Search Task Scenario, Hendrickson K. Karl

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A key intelligence analyst role in open source search is the transformation of data into understanding. Better comprehension is needed of how new tools impact the analyst search process. The use of function analysis, heuristic analysis, and a usability study combine to provide the basis for developing an analyst process model, which affords the researcher with a structure to measure the impact of tools and expertise in performing a search task. The experiment utilized representative analyst scenario tasks in comparing baseline tools with the Geospatial Open Search Toolkit (GOST). The results show error rates increase when using a new toolset …

Investigation Of Capabilities Of Observers In A Watch Window Study, Ositadimma Nnanna Eziolisa

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Due to an abundance of data and dynamic nature of tasks, challenges with information retrieval in surveillance and target identification tasks have risen in today's Intelligence, Surveillance, and Reconnaissance (ISR) community. In this study, two variables, Area of Coverage and Amount of Activity (AOC/ACT), are manipulated to study their effects on the number of Watch Windows an observer can monitor. This research describes the analyst's task model, and explains how the level of AOC/ACT and number of Watch Windows affects the analyst's cognitive load. Results showed a significant difference in performance and physiological indicators of workload between high AOC/ACT conditions …

Use Of Vibrotactile Feedback And Stochastic Resonance For Improving Laparoscopic Surgery Performance, Robert Douglas Hoskins

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Vibrotactile feedback, used as sensory substitution for loss of haptic feedback, has been utilized to improve performance in manual control, teleoperation and during minimally invasive surgical tasks. Stochastic resonance (SR), introduced into the human control system as white noise at a sub-threshold level, has shown promise to improve the sensitivity of tactile receptors resulting in enhancement of performance for a variety of manual tracking and sensorimotor tasks. The purpose of this study was to determine if SR could improve performance (accuracy, speed) in a simulated laparoscopic palpation task and to compare it to vibrotactile feedback (VIB). It was hypothesized that …

Improving Motion Imagery Analysis: Investigating Detection Failures, Remembering To Perform Deferred Intentions, Michael R. Nickels

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Advances in automation have led to an increased prevalence of human multitasking in intelligence, surveillance, and reconnaissance operations. Despite advancements in computer-vision research, almost all video data collected must be processed by human analysts. Traditionally, analysts are plagued with the presence and possible overabundance of interruptions that fundamentally leads to multitasking while processing video data. It is currently unknown what factors influence decision making in completing primary tasks or handling interruptions. In this study, we investigated the performance effects and the resulting design implications of varying the number of concurrent prospective memory tasks and encoding of one large group of …

A Theoretical Adaptive Autonomy Model: Real-Time Physiological Assessment Of Cognitive Workload, Dakota C. Evans

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Increases in modern-day system complexity, has led for a need to improve human performance and the interaction between the two. Three objectives: (1) to investigate physiological measures as indicators of cognitive workload, (2) to assess cognitive workload during human interaction with different autonomy levels, and (3) to develop a theoretical model for an adaptive autonomous system that changes with real-time cognitive workload measures were addressed. This effort seeks to improve human computer interaction by providing the human with the acceptable level of computer automation based on real-time cognitive state. Two experiments involved collection of measures of subject physiology, subjective survey …

Structure Health Monitoring (Shm) System Trade Space Analysis, Salman A. Albinali, David R. Jacques

Faculty Publications

An analytic approach to exploring the tradespace associated with Structural Health Monitoring (SHM) systems is presented. Modeling and simulation of the life cycle of a legacy aircraft and the expected operational and maintenance events that could occur is shown. A focus on the SHM system detection of a significant crack length and the possibility of False Alarm (FA), miss detection and mishap events is investigated. The modeling approach allows researchers to explore the tradespace associated with safe and critical crack lengths, sensor thresholds, scheduled maintenance intervals, falsely triggered maintenance actions, and mishaps due to missed detections. As one might expect, …

Dispatch, Delivery, And Location Logistics For The Aeromedical Evacuation Of Time-Sensitive Military Casualties Under Uncertainty, Benjamin Grannan

Theses and Dissertations

Effective aeromedical evacuation of casualties is one of the most important problems in military medical systems because high-priority casualties will not survive without timely medical care. The decision making process for aeromedical evacuation consists of the following components: (1) identifying which aeromedical evacuation asset (see figure 1) to dispatch to the casualty, (2) locating aeromedical evacuation assets strategically in anticipation of incoming demand, and (3) deciding which medical treatment facility to transport the casualty. These decisions are further complicated because prioritization of casualties is based on severity of injury while aeromedical evacuation assets and medical treatment facilities operate with varying …

Outsourcing Management Of Engineering Work In Petroleum Exploration And Production, Panunee Thongprasom

Chulalongkorn University Theses and Dissertations (Chula ETD)

Since there is no official outsourcing management system in the studied Petroleum Exploration and Production company, many outsourcing projects under the studied company have been facing with a lot of schedule delays. Therefore, the purpose of this research is to find an appropriate and efficient outsourcing management system which consists of workflow and procedure including supporting tools and techniques for using with outsourcing engineering work in the studied company to minimize the delays. The approach is to review outsourcing management practices and recommended tools from literatures and gather information from the studied company’s outsourcing experiences including best practices to develop …

Strengthening Dod Cyber Security With The Vulnerability Market, Bradley C. Panton, John M. Colombi, Michael R. Grimaila, Robert F. Mills

Faculty Publications

Excerpt: Every year, the Department of Defense (DoD) upgrades its information technology systems, allows new applications to connect to DoD information networks, and reconfigures the enterprise to gain efficiencies. While these actions better support the warfighter and satisfy national security interests, they introduce new system vulnerabilities waiting to be exploited.

Data Classification And Forecasting Using The Mahalanobis-Taguchi Method, Adebolaji A. Jobi-Taiwo

Masters Theses

"Classification and forecasting are useful concepts in the field of condition monitoring. Condition monitoring refers to the analysis and monitoring of system characteristics to understand and identify deviations from normal operating conditions. This can be performed for prediction, diagnosis, or prognosis or a combination of any these purposes. Fault identification and diagnosis are usually achieved through data classification, while forecasting methods are usually used to accomplish the prediction objective. Data gathered from monitoring systems often consists of multiple multivariate time series and is fed into a model for data analysis using various techniques. One of the data analysis techniques used …

Quantifying Economic Benefits For Rail Infrastructure Projects, Akhilesh Ojha

Masters Theses

"Investment in rail infrastructure is necessary to maintain existing service and to cater for future growth in freight and passenger services. Many communities have realized the importance of investment in rail infrastructure projects and set up goals and visions to achieve economic development through investing in such projects. Due to limited funds available, communities have to select a single or very few projects from a variety of projects. It is very critical that right projects must be selected at the right time for a community to realize economic development. The limited methods for quantifying the economic benefits to the stakeholders …

Use On Multinomial Logistic Regression In Work Zone Crash Analysis For Missouri Work Zones, Paul Robin

Masters Theses

"This study focuses on the use of statistical data analysis procedures in identifying factors which affect the severity of crashes in work zones. Work zones are unsafe for the traffic passing through as well as the workers. Multinomial Logistic Regression has been used to analyse Missouri work zone crash data to identify significant factors which affect the severity of crashes. This particular type of regression analysis was used due to the mixed nature of data. Multinomial regression was used to compare crashes with severity Property Damage Only against crashes with Minor Injuries and Disabling Injuries/ Fatal. The factors considered were …