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Operations Research, Systems Engineering and Industrial Engineering Commons™
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- Engineering Management & Systems Engineering Faculty Publications (10)
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Articles 1 - 27 of 27
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Machine Learning In Requirements Elicitation: A Literature Review, Cheligeer Cheligeer, Jingwei Huang, Guosong Wu, Nadia Bhuiyan, Yuan Xu, Yong Zeng
Machine Learning In Requirements Elicitation: A Literature Review, Cheligeer Cheligeer, Jingwei Huang, Guosong Wu, Nadia Bhuiyan, Yuan Xu, Yong Zeng
Engineering Management & Systems Engineering Faculty Publications
A growing trend in requirements elicitation is the use of machine learning (ML) techniques to automate the cumbersome requirement handling process. This literature review summarizes and analyzes studies that incorporate ML and natural language processing (NLP) into demand elicitation. We answer the following research questions: (1) What requirement elicitation activities are supported by ML? (2) What data sources are used to build ML-based requirement solutions? (3) What technologies, algorithms, and tools are used to build ML-based requirement elicitation? (4) How to construct an ML-based requirements elicitation method? (5) What are the available tools to support ML-based requirements elicitation methodology? Keywords …
Online Traffic Signal Control Through Sample-Based Constrained Optimization, Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh
Online Traffic Signal Control Through Sample-Based Constrained Optimization, Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh
Research Collection School Of Computing and Information Systems
Traffic congestion reduces productivity of individuals by increasing time spent in traffic and also increases pollution. To reduce traffic congestion by better handling dynamic traffic patterns, recent work has focused on online traffic signal control. Typically, the objective in traffic signal control is to minimize expected delay over all vehicles given the uncertainty associated with the vehicle turn movements at intersections. In order to ensure responsiveness in decision making, a typical approach is to compute a schedule that minimizes the delay for the expected scenario of vehicle movements instead of minimizing expected delay over the feasible vehicle movement scenarios. Such …
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Disaster Damage Categorization Applying Satellite Images And Machine Learning Algorithm, Farinaz Sabz Ali Pour, Adrian Gheorghe
Engineering Management & Systems Engineering Faculty Publications
Special information has a significant role in disaster management. Land cover mapping can detect short- and long-term changes and monitor the vulnerable habitats. It is an effective evaluation to be included in the disaster management system to protect the conservation areas. The critical visual and statistical information presented to the decision-makers can help in mitigation or adaption before crossing a threshold. This paper aims to contribute in the academic and the practice aspects by offering a potential solution to enhance the disaster data source effectiveness. The key research question that the authors try to answer in this paper is how …
Natural Resources Governance Employing Blockchain-Based Decision-Making, Farinaz Sabz Ali Pour, Adrian Gheorghe
Natural Resources Governance Employing Blockchain-Based Decision-Making, Farinaz Sabz Ali Pour, Adrian Gheorghe
Engineering Management & Systems Engineering Faculty Publications
Natural resources are essential structures of socio-economic systems which shape the well-being of humanity, environment, and the economy. Human actions have become the critical responsibility for environmental changes and pressuring many planetary boundaries. Having a systematic approach can provide a governance platform including the inherent characteristics of the resource, the historically established form of use, and transaction costs. A natural resource governance framework is developed by applying Blockchain technology as the primary goal of this study to regulate and manage the extraction and trades. Blockchain technology provides a distributed concurrency monitoring system for sustainable resource management. Persistent and pervasive cooperation …
Presenting To Senior Decision Makers: Clear, Concise & Complete, Kirk Michealson
Presenting To Senior Decision Makers: Clear, Concise & Complete, Kirk Michealson
Operations Management Presentations
Your manager just assigned you to lead a new project for your Vice President. You have many questions! What are the details of the project? What does the VP want to see in briefings? Does the VP have an advocate for pre-briefs? What information is important to include in the presentation? How detailed should the information be? How should the information be presented? Are there any best practices in developing presentations? In this webinar, you will learn strategies for sharing important information with key stakeholders in your career – and how to actually get them to listen!
Design Of A Distributed Real-Time E-Health Cyber Ecosystem With Collective Actions: Diagnosis, Dynamic Queueing, And Decision Making, Yanlin Zhou
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
In this thesis, we develop a framework for E-health Cyber Ecosystems, and look into different involved actors. The three interested parties in the ecosystem including patients, doctors, and healthcare providers are discussed in 3 different phases. In Phase 1, machine-learning based modeling and simulation analysis is performed to remotely predict a patient's risk level of having heart diseases in real time. In Phase 2, an online dynamic queueing model is devised to pair doctors with patients having high risk levels (diagnosed in Phase 1) to confirm the risk, and provide help. In Phase 3, a decision making paradigm is proposed …
Impact Of A Localized Lean Six Sigma Implementation On Overall Patient Safety And Process Efficiency, Luvianca Gil, Pilar Pazos, Mamadou Seck, Rolando Delaguila
Impact Of A Localized Lean Six Sigma Implementation On Overall Patient Safety And Process Efficiency, Luvianca Gil, Pilar Pazos, Mamadou Seck, Rolando Delaguila
Engineering Management & Systems Engineering Faculty Publications
Continuous quality improvement tools have caught the attention of the Health Care Industry as a solution to process efficiency, patient safety and cost reduction. This research explores the impact of a Lean Six Sigma (LSS) process improvement initiative in overall process efficiency and patient safety in two Labor and Delivery (L+D) units of two large hospital providers. This study focuses on the application of modeling and simulation methodology to investigate the influence of a localized process improvement intervention on the overall L+D unit output, by considering patient flow, system capacity and unit performance. The simulation models capacity profiles and patient …
Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos
Evaluating Forecasting Methods By Considering Different Accuracy Measures, Nijat Mehdiyev, David Lee Enke, Peter Fettke, Peter Loos
Engineering Management and Systems Engineering Faculty Research & Creative Works
Choosing the appropriate forecasting technique to employ is a challenging issue and requires a comprehensive analysis of empirical results. Recent research findings reveal that the performance evaluation of forecasting models depends on the accuracy measures adopted. Some methods indicate superior performance when error based metrics are used, while others perform better when precision values are adopted as accuracy measures. As scholars tend to use a smaller subset of accuracy metrics to assess the performance of forecasting models, there is a need for a concept of multiple accuracy dimensions to assure the robustness of evaluation. Therefore, the main purpose of this …
Understanding Risk Perception Using Fuzzy Cognitive Maps, Pei Zhang, Antoine J. Jetter
Understanding Risk Perception Using Fuzzy Cognitive Maps, Pei Zhang, Antoine J. Jetter
Engineering and Technology Management Faculty Publications and Presentations
When making decision that can have far-researching effects, such as governmental policies or decisions on new technologies, decision-makers use their understanding of the risks that are associated with their choices to guide their decisions. Measuring how people perceive risks can be helpful for understanding and possibly improving the decision-making process. Building on a review of existing methods for investigating risk perceptions, this paper suggests Fuzzy Cognitive Maps (FCM) as a method for investigating differences in risk perception among stakeholders and stakeholder groups. The approach is illustrated with an example of wildfire risk perceptions. Results suggest that FCM can contribute to …
Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network, Hala Mostafa, Akshat Kumar, Hoong Chuin Lau
Simultaneous Optimization And Sampling Of Agent Trajectories Over A Network, Hala Mostafa, Akshat Kumar, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
We study the problem of optimizing the trajectories of agents moving over a network given their preferences over which nodes to visit subject to operational constraints on the network. In our running example, a theme park manager optimizes which attractions to include in a day-pass to maximize the pass’s appeal to visitors while keeping operational costs within budget. The first challenge in this combinatorial optimization problem is that it involves quantities (expected visit frequencies of each attraction) that cannot be expressed analytically, for which we use the Sample Average Approximation. The second challenge is that while sampling is typically done …
Shortest Path Based Decision Making Using Probabilistic Inference, Akshat Kumar
Shortest Path Based Decision Making Using Probabilistic Inference, Akshat Kumar
Research Collection School Of Computing and Information Systems
We present a new perspective on the classical shortest path routing (SPR) problem in graphs. We show that the SPR problem can be recast to that of probabilistic inference in a mixture of simple Bayesian networks. Maximizing the likelihood in this mixture becomes equivalent to solving the SPR problem. We develop the well known Expectation-Maximization (EM) algorithm for the SPR problem that maximizes the likelihood, and show that it does not get stuck in a locally optimal solution. Using the same probabilistic framework, we then address an NP-Hard network design problem where the goal is to repair a network of …
On Valuing Biopharmaceutical Product Pipelines: An Effectuation Model And Evidence, Mark J. Ahn, Anne S. York, Wei Wu, Yulianto Suharto, Tugrul Unsal Daim
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 …
Assessing The Effectiveness Of Big Data Initiatives, Nayem Rahman, Fahad Aldhaban
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, …
Explaining Health Technology Adoption: Past, Present, Future, Noshad Rahimi, Antonie J. Jetter
Explaining Health Technology Adoption: Past, Present, Future, Noshad Rahimi, Antonie J. Jetter
Engineering and Technology Management Faculty Publications and Presentations
One of the most pressing challenges of healthcare innovation today is the lack of technology adoption. Research that improves our ability to understand, predict, and advance technology adoption in health care needs to be based on well-tested theories. With the interest to conduct high quality research in health technology adoption in future, this study reviews the theories used in this context to either identify the superior theory(ies) and or discover the issues that need resolution for improving future HTA researches. To do that, the most popular [1][2] social cognitive theories conceived over the past four decades are reviewed analytically from …
Project Management In Product Development: Toward A Framework For Targeted Flexibility, Antonie J. Jetter, Fatima Albar
Project Management In Product Development: Toward A Framework For Targeted Flexibility, Antonie J. Jetter, Fatima Albar
Engineering and Technology Management Faculty Publications and Presentations
As a discipline, project management has been accused of having lost its relevance for innovative initiatives because it emphasizes planning and control over the flexibility and learning-based strategies that are needed to succeed under uncertainty. Several authors therefore recommend adaptive project management practices - sometimes named “targeted flexibility” - that respond to project characteristics commonly found in innovation, namely novelty, complexity, speed and - as a result - uncertainty. This paper investigates how this proposed adaptation of project management occurs in a context with high levels of novelty that organizes work in projects and needs to accommodate projects of different …
Connecting Customers With Engineers For The Successful Fuzzy Front End: Requirements Of Tools, Byung Sung Yoon, Antonie J. Jetter
Connecting Customers With Engineers For The Successful Fuzzy Front End: Requirements Of Tools, Byung Sung Yoon, Antonie J. Jetter
Engineering and Technology Management Faculty Publications and Presentations
In technology-driven enterprises, marketing typically acts as a “go-between” that captures customer needs and experiences and aggregates and interprets them for engineering. Knowledge exchange thus occurs through an indirect path. However, as a result of rapidly changing and unpredictable environments and complex products with tacit requirements, companies increasingly emphasize the need for engineering to be more strongly engaged with customers'. Accordingly, an increasing number of methods for customer research in early stages on new product development, the so-called fuzzy front end (FFE), emphasize direct knowledge exchange and collaboration between engineering and customers. Based on a review of the literature, this …
Project Ranking Using Partial Ranks, Jiali Ju, Pei Zhang, Tim R. Anderson
Project Ranking Using Partial Ranks, Jiali Ju, Pei Zhang, Tim R. Anderson
Engineering and Technology Management Faculty Publications and Presentations
A competition was recently held for new elder care technologies and a method was needed for selecting an audience favorite project. Since each of the eight projects received a half hour presentation time slot spread out over a full day, attendance varied significantly with morning projects having a much lower attendance. An algorithm was desired that was robust with respect to varying evaluator. A new algorithm for aggregating ranks from a large number of incomplete judgment was developed and applied to the projects to select a winner. This paper presents the new algorithm, tests the new approach against others in …
Managing The Economic Constraints Of Foundries And Fabless Enterprises, Charles M. Weber, Jiting Yang
Managing The Economic Constraints Of Foundries And Fabless Enterprises, Charles M. Weber, Jiting Yang
Engineering and Technology Management Faculty Publications and Presentations
This paper presents an empirically grounded model, which links organizational learning to pattern-specific fixed costs. The approach described in this paper helps fab managers make fundamental strategic decisions concerning product design and product mix by engaging in scenario planning. Four critical aspects of managing pattern-specific fixed cost are analyzed in detail – sensitivity to time, design cost and production volume; platform designs; process postponement solutions; and design penalties. The model suggests that fabless enterprises and foundries must collaborate extensively on the design and realizations of product platforms for state-of-the-art integrated circuit products to remain economically viable.
Semantic Shift To Pragmatic Meaning In Shared Decision Making: Situation Theory Perspective, M. Canan, A. Sousa-Poza, S. F. Kovacic
Semantic Shift To Pragmatic Meaning In Shared Decision Making: Situation Theory Perspective, M. Canan, A. Sousa-Poza, S. F. Kovacic
Engineering Management & Systems Engineering Faculty Publications
The way humans establish communication depends on the generation and conveyance of meaning. Linguistically, meaning in information is dependent on the meaning that is ascribed to signifiers in the context of the communication. These signifiers can include items such as words, phrases, signs, and symbols. Conveyance of meaning may, however, imprecise and prone to error. The meaning of information in communication may arise from a change in the context in which a signifier is placed (intrinsic), or a change in the paradigm with which the signifier and context are perceived (extrinsic). In simple situations, where paradigms are reconcilable, semantic shift …
Opening The Door To Breakthroughs That Address Strategic Organizational Needs: Applying Technology Roadmapping Tools And Techniques At An Electric Utility, James V. Hillegas-Elting, Terry Oliver, Joshua Binus, Tugrul Unsal Daim, Judith Estep, Jisun Kim
Opening The Door To Breakthroughs That Address Strategic Organizational Needs: Applying Technology Roadmapping Tools And Techniques At An Electric Utility, James V. Hillegas-Elting, Terry Oliver, Joshua Binus, Tugrul Unsal Daim, Judith Estep, Jisun Kim
Engineering and Technology Management Faculty Publications and Presentations
Over the course of a decade, the Bonneville Power Administration's Technology Innovation Office has developed a roadmapping approach that captures business challenges and opportunities critical to the agency, links these with barriers to success, and connects these with technical solutions and research questions. Senior leaders from across the agency establish strategic goals and objectives, and international technical subject matter experts are convened to articulate technology-associated paths to achieve these. Each roadmap captures insights from diverse experts in highly collaborative environments and focuses them on critically important topics. These roadmaps are an important element in the Bonneville Power Administration's strategic approach …
Epistemic Uncertainty Analysis: An Approach Using Expert Judgment And Evidential Credibility, Patrick Hester
Epistemic Uncertainty Analysis: An Approach Using Expert Judgment And Evidential Credibility, Patrick Hester
Engineering Management & Systems Engineering Faculty Publications
When dealing with complex systems, all decision making occurs under some level of uncertainty. This is due to the physical attributes of the system being analyzed, the environment in which the system operates, and the individuals which operate the system. Techniques for decision making that rely on traditional probability theory have been extensively pursued to incorporate these inherent aleatory uncertainties. However, complex problems also typically include epistemic uncertainties that result from lack of knowledge. These problems are fundamentally different and cannot be addressed in the same fashion. In these instances, decision makers typically use subject matter expert judgment to assist …
Project-Risk Management And Decision Analysis In Maritime Maintenance And Repair, Michael C. Plumb, C. Ariel Pinto, Rafael Landaeta, Resit Unal, Thomas Murphy
Project-Risk Management And Decision Analysis In Maritime Maintenance And Repair, Michael C. Plumb, C. Ariel Pinto, Rafael Landaeta, Resit Unal, Thomas Murphy
Engineering Management & Systems Engineering Faculty Publications
The purpose of this paper is to provide insights regarding the implementation of using Project Risk Management (PRM) and Decision Analysis (DA) in managing projects for complex systems such as maritime vessels. The PRM approach apprehends many forms of risk both internal and external within a given project and assists the manager in determining the level of importance of each individual project phase and component to optimize project success. Ship Maintenance and Repair project decision-making requires that risk management and risk analysis techniques be applied in order to guide management in making better decisions to meet ship service life perspective. …
Order And Disorder, Entropy In Math, Science, Nature And The Arts, Sol Neeman Ph.D., Arie Maharshak
Order And Disorder, Entropy In Math, Science, Nature And The Arts, Sol Neeman Ph.D., Arie Maharshak
Engineering Studies Faculty Publications and Creative Works
Often, science and engineering students have difficult time in viewing certain concepts in their holistic form. An example for such a concept is the concept of Entropy. Although it originated from the field of thermodynamics, the relation between order and disorder is a profound one and manifests itself in various fields, sometimes unrelated, such as math and science, nature and the arts. In the discipline of physics, the amount of disorder in a system has been quantified by the concept of Entropy. In the area of information theory it provides a quantitative measure of the amount of compression that may …
Partial Adjustable Autonomy In Multi-Agent Environment And Its Application To Military Logistics, Hoong Chuin Lau, Lucas Agussurja, Ramesh Thangarajoo
Partial Adjustable Autonomy In Multi-Agent Environment And Its Application To Military Logistics, Hoong Chuin Lau, Lucas Agussurja, Ramesh Thangarajoo
Research Collection School Of Computing and Information Systems
In a rapidly changing environment, the behavior and decision-making power of agents may have to be adaptive with respect to a fluctuating autonomy. In this paper, a centralized fuzzy approach is proposed to sense changes in environmental conditions and translate them to changes in agent autonomy. A distributed coalition formation scheme is then applied to allow agents in the new autonomy to renegotiate to establish schedule consistency. The proposed framework is applied to a real-time logistics control of a military hazardous material storage facility under peace-to-war transition.
Including Organizational Cultural Parameters In Work Processes, Holly A. H. Handley, Nancy J. Heacox
Including Organizational Cultural Parameters In Work Processes, Holly A. H. Handley, Nancy J. Heacox
Engineering Management & Systems Engineering Faculty Publications
Recent work in modeling decision-making work processes has focused on including the national culture of individual decision-makers in order to emphasize the differences in decision criteria between decision-makers of different nationalities. In addition to nationality, a decision-maker is also a member of an organization and brings this organizational culture to his role in the work process, where it may also affect his task performance. In order to represent the organizational impact on the work process, five organizational cultural parameters were identified and included in an algorithm for modeling and simulation of cultural difference in human decision-making. While the five modifiers …
A Task Process Pre-Experimental Model, Holly A. H. Handley, Alexander H. Lewis
A Task Process Pre-Experimental Model, Holly A. H. Handley, Alexander H. Lewis
Engineering Management & Systems Engineering Faculty Publications
The Adaptive Architectures for Command and Control (A2C2) program is a multidisciplinary program that employs a scientific basis for designing and analyzing adaptive and reconfigurable organizational structures at the Joint Task Force level. As part of its unique model-driven experimentation method, a pre-experimental model is created to support the formulation of hypotheses, the determination of key variables and parameter values, and the prediction of organizational performance. The pre-experimental model is used to explore the parameters of the experimental design in order to determine the appropriate region to conduct officer-in-the-loop experiments at the Naval Postgraduate School. A pre-experimental model based on …
Incorporating Heterogeneity In Command Center Interactions, Holly A. H. Handley, Alexander H. Levis
Incorporating Heterogeneity In Command Center Interactions, Holly A. H. Handley, Alexander H. Levis
Engineering Management & Systems Engineering Faculty Publications
One of the many complexities of multinational coalition operations stems from differences in culture, military procedures, and command and control processes between the cooperating command centers. These differences can influence the interactions between decision makers of different command centers and can affect the outcome of the coalition operation. A coalition model, composed of individual models of the five-stage interacting decision maker model, was used in a virtual experiment. The subjective parameters included in the decision maker model can be any attribute that characterizes the heterogeneity of the decision makers. In this case, the parameters of power distance and uncertainty avoidance …