Operations Research, Systems Engineering and Industrial Engineering Commons^™

A System Dynamics Model For Simulating Ambulatory Health Care Demands, Rafael Diaz, Joshua G. Behr, Mandar Tulpule

VMASC Publications

Introduction: This article demonstrates the utility of the system dynamics approach to model and simulate US demand for ambulatory health care service both for the general population and for specific cohort subpopulations over the 5-year period, from 2003 to 2008. A system dynamics approach that is shown to meaningfully project demand for services has implications for health resource planning and for generating knowledge that is critical to assessing interventions.

Methods: The study uses a cohort-component method in combination with structural modeling to simulate ambulatory health care utilization. Data are drawn from the National Ambulatory Medical Care Survey and the National …

Colonel Blotto Games And Lancaster's Equations: A Novel Military Modeling Combination, Andrew Collins, Patrick T. Hester

VMASC Publications

Military strategists face a difficult task when engaged in a battle against an adversarial force. They have to predict both what tactics their opponent will employ and the outcomes of any resultant conflicts in order to make the best decision about their actions. Game theory has been the dominant technique used by analysts to investigate the possible actions that an enemy will employ. Traditional game theory can be augmented by use of Lanchester equations, a set of differential equations used to determine the outcome of a conflict. This paper demonstrates a novel combination of game theory and Lanchester equations using …

Neutrosophic Masses & Indeterminate Models Applications To Information Fusion, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper we introduce the indeterminate models in information fusion, which are due either to the existence of some indeterminate elements in the fusion space or to some indeterminate masses. The best approach for dealing with such models is the neutrosophic logic.

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 …

Identification And Implementation Of Patterns Towards A Model Of Environmental Sustainability, S. Jimmy Gandhi, Santiago Perez, Danial Rushton, Robert Cloutier, Ipek Bozkurt, C. Ariel Pinto

Engineering Management & Systems Engineering Faculty Publications

Much like the Quality Revolution did in the 1980's, corporate sustainability has the potential to drive significant changes in the processes and structure of various organizations in the coming decade. With a rapidly growing global population and an ever increasing global demand for resources (Population-Resource-Center, 2012). Sustainability has emerged as one of the primary challenges that organizations will have to deal with in the 21st century. An increasing realization among business executives that profitability by itself is not enough as a measure of success is also driving the increased adoption of sustainable practices in the corporate world (Lowitt and Grimsley, …

Research Methodologies: A Look At The Underlying Philosophical Foundations Of Research, Nathapon Siangchokyoo, Andres Sousa-Poza

Engineering Management & Systems Engineering Faculty Publications

Quantitative and qualitative research methodologies have had their greatest share of debates dating back to the 1970s. Researchers have long argued over the underlying philosophical features between the two methodologies and their ability to derive knowledge (Onwuegbuzie & Leech, 2005, Sale, Lohfeld, & Brazil, 2002; Powell, Mihalas, Onwuegbuzie, Suldo and Daley, 2008; Sechrest and Sidani, 1995). More recently, modern researchers have argued that the integration of quantitative and qualitative methods into a single methodology (known simply as mixed methods research) allows researchers to answer questions otherwise unobtainable (Carey, 1993). The emergence of mixed methods research has gained increasing popularities in …

A Human View Model For Socio-Technical Interactions, Holly A. H. Handley, Andreas Tolk

Engineering Management & Systems Engineering Faculty Publications

The Human View was developed as an additional architectural viewpoint to focus on the human part of a system. The Human View can be used to collect and organize data in order to understand how human operators interact and impact the other elements of a system. This framework can also be used to develop a model to describe how humans interact with each other in network enabled systems. These socio-technical interactions form the foundation of the emerging area of Human Interoperability. Human Interoperability strives to understand the relationships required between human operators that impact collaboration across networked environments, including the …

Modeling And Evaluating Role And Team Work Processes Using The Improved Performance Research And Integration Tool, Holly A. H. Handley, Pilar Pazos

Engineering Management & Systems Engineering Faculty Publications

The Human View architecture was designed to capture the human requirements of a system and to answer questions about the interactions between humans and systems. Data captured in the Human View can be used to populate a simulation model to evaluate the performance of the humans interacting in a work process. The work process model can be used to investigate different types of human system analyses, at both the role and team levels, and to identify the appropriate metrics to evaluate the results. This study examined individual role performance using the metrics readily available in the simulation tool, and then …

Agile Knowledge Management: A Review, Reconceptualization, And Extension To Military Applications, Dogan Ozturk, Rafael E. Landaeta, Resit Unal, Cesar Ariel Pinto, Gokay Sursal

Engineering Management & Systems Engineering Faculty Publications

This study contributes to the literature by integrating agility in knowledge management (KM) operations, especially in military environments via major findings of (a) introducing a new approach to KM with integration of 'agility'; (b) articulating the application of an enhanced process of Agile Knowledge Management (AKM) across the military. The purpose of the study is to explore the conceptual background of agility in KM, re-conceptualize it and extend it to military applications with a special focus on counterinsurgency (COIN). An initial qualitative exploration of agility in KM was performed. Three different concepts and their interrelationships were analyzed: (a) KM, (b) …

System Of Systems Perspective On Risk: Towards A Unified Concept, C. Ariel Pinto, Michael K. Mcshane, Ipek Bozkurt

Finance Faculty Publications

Many systems and projects that concern systems engineers, engineering managers, and business managers today can be defined as system of systems (SoS), which are described as ambiguous, uncertain and dynamic, among others. In addition to the traditional view on risk identification, analysis and management, the concept of risk should be considered with respect to these systems of systems. The purpose of this paper is to analyse both fundamental concepts and recent publications in system of systems, business and engineering management, as well as risk analysis, modelling, and management for the purpose of better describing the concept of risk with respect …

An Empirical Study On Quality Management Practices, Organization Performance And Suppliers' Selection In Southern Minnesota Manufacturing Firms, Rachel Yetunde-Abiodun Awoku

All Graduate Theses, Dissertations, and Other Capstone Projects

Quality management systems (QMS) have been widely applied successfully by many manufacturing companies to improve their process, increase profits and organizational performance. The most applied of the quality programs are ISO 9001, Total Quality Management (TQM), Just-In-time (JIT), Lean Management and Six Sigma. Although past studies on quality management have identified and studied the implementation of quality management practices, there is little or no research on quality management practices and business performance in Southern Minnesota manufacturing companies. Many researchers have concluded that the implementation of quality management practices has led to significant improvements in companies' business performance while others have …

New Mathematical And Evolutionary Optimization Methods To Achieve Fair Division In Multi-Agent Resource Allocation, Emmanuel Gurrola Molina

Open Access Theses & Dissertations

The problem of resource allocation among a group of agents naturally arises in a wide range of real-life events. The subject has earned popularity across the disciplines of Economics, Computer Science, Artificial Intelligence Operations Research and Social Welfare. This resource allocation problem can be commonly referred to as Multi-Agent Resource Allocation (MARA). This work considers a MARA problem where a central agent decides to allocate a set of divisible and non-divisible goods. MARA is considered to be part of an interdisciplinary research area in which the literature is vast and rapidly developing. However, most of the available literature mainly focuses …

Designing Optimal Aviation Baggage Screening Strategies Using The Monkey Search Algorithm, Edgar Ivan Jimenez

Open Access Theses & Dissertations

This thesis addresses the aviation baggage screening design problem considering several baggage screening devices which may be used for system implementation, the devices have different false clear and false alarm rates, throughput and purchase costs. In the present research, a comprehensive cost function which not only includes the cost associated with purchase and operation of baggage security devices, but also includes the indirect costs associated with device errors is used. A new monkey search based evolutionary algorithm is presented to determine the best selection of baggage screening security devices in order to minimize the expected annual total cost. The final …

Decision Rule Induction For Service Sector Using Data Mining- A Rough Set Theory Approach, Zhonghua Hu

Open Access Theses & Dissertations

Nowadays, data mining is more widely used than ever before; not only by the academic area, but also in the industry and business area. Apart from execution of business processes, the creation of knowledge base and its utilization for the benefit of the organization is becoming a strategy tool to compete. Despite of having ever growing data bases, the problem is that the finance company fails to fully capitalize the true benefits which can be gained from this great wealth of information. The data mining technology instead of classic statistical analysis is developed to help the people to discover the …

Multi-Objective System Design Optimization Considering Environmental Emissions, Olivia Carolina Moreno

Open Access Theses & Dissertations

The well-known reliability optimization problem, the redundancy allocation problem (RAP) involves the simultaneous selection of system components and a design level configuration that can meet several design constraints in order to optimize the predefined objective function(s). The RAP has been predominantly solved as a single objective optimization problem with the reliability of the system to be maximized or system design cost to be minimized. When considered as a multiple objective reliability optimization problem, the system reliability is maximized and the cost and weight of the system are minimized. In this work, the RAP was formulated as a multiple objective optimization …

Identification Of Rework Station Location To Enhance Reworkability Using Design For Disassembly, Juan Alejandro Saavedra

Open Access Theses & Dissertations

Rework stations are commonly established as part of each assembly stations causing the material flow of the process to be constantly interrupted. Another option is to place the rework station at the end of the production, but this is not cost effective. This breakeven point between reworkability and cost methodology has been proposed in this thesis to identify the location of a single rework station in an assembly line in order to enhance reworkability using the Design for Disassembly (DfD) principles. The methodology uses the 17 guidelines of DfD in a manufacturing scenario in order to propose a reworkability index …

Implementation Of Evolutionary Algorithms On The Power Industry And Aviation Security, Anuar Jesus Aguirre

Open Access Theses & Dissertations

The main objective of the power electric power grid is to supply reliable electricity to all the customers. Customers could be industrial, commercial, household, transportation and others. The power grid is a complex and large, and it formed by the conjunction of the generation, transmission and distribution system. The present research is focused in power distribution system. A new component replacement analysis method to solve component replacement problems for complex electricity distribution systems using Genetic Algorithms is developed. In the present model a Taylor series expansion is used to approximate the associated opportunity cost for each component in the system. …

An Integrated Framework For Freight Forwarders:Exploitation Of Dynamic Information For Multimodal Transportation, Farshid Azadian

Wayne State University Dissertations

Advent of real-time information broadcasting technologies, growth in demand for air-cargo, and increased congestion and variability on air-road network, are the main forces compelling today's air-freight forwarders to improve their operational decision-making to be more competitive and responsive to needs of customers. This research studies the air-cargo transportation on both road (short-haul) and air (long haul) network from the perspective of a mid-size freight forwarder.

We develop a routing algorithm for congestion avoidance on air-network based on historical data and introduce an innovative approach to incorporate real-time information to enable dynamic routing of cargo on a stochastic air-network. In the …

Securing Access To Lower-Cost Talent Globally: The Dynamics Of Active Embedding And Field Structuration, Stephan Manning, Joerg Sydow, Arnold Windeler

Management and Marketing Faculty Publication Series

This article examines how multinational corporations (MNCs) shape institutional conditions in emerging economies to secure access to high-skilled, yet lower-cost science and engineering talent. Based on two in-depth case studies of engineering offshoring projects of German automotive suppliers in Romania and China we analyze how MNCs engage in ‘active embedding’ by aligning local institutional conditions with global offshoring strategies and operational needs. MNCs thereby contribute to the structuration of field relations and practices of sourcing knowledge-intensive work from globally dispersed locations.Our findings stress the importance of institutional processes across geographic boundaries that regulate and get shaped by MNC activities.

An Evaluation Of Discharge Policies At A Generic Acute Care Hospital, Elizabeth A. Crawford

Browse all Theses and Dissertations

One of the main issues faced within the U.S. healthcare continuum is ineffective care transition. Ineffective transitions from one area of care to the next can lead to a reduction in quality of care, an increased risk of readmission, and an increase in healthcare costs. According to the National Transitions of Care Coalition (NTOCC), as many as 42% of the hospitals surveyed reported that care transitions during coordinated care delivery do not go as planned. One of the primary reasons for ineffective care transition is poor discharge planning. The purpose of this research is to analyze the effect of various …

Use Of Exploratory Data-Mining Techniques To Analyze Associations Between Bone-Mineral Density And Relevant Clinical Parameters Of Gaucher Disease, Tingting Fu

Browse all Theses and Dissertations

Gaucher disease (GD) is a monogenic disorder with autosomal recessive inheritance, which results from an acid lysosomal hydrolase, the beta-glucocerebrosidase deficiency. Clinical manifestations of the disease include anemia, thrombocytopenia, hepatosplenomegaly, and skeletal complications. Enzyme replacement therapy (ERT) has been used to treat type 1 GD for more than a decade, and many patients have shown remarkable clinical responses to the treatment, with normalization of blood counts, reduction in liver and spleen size, and improvement in bone symptoms. Many researchers have tried to study the effectiveness of ERT, but previous research has been mainly based on some predetermined hypotheses and traditional …

Robust Execution Strategy For Scheduling Under Uncertainity, Na Fu

Dissertations and Theses Collection (Open Access)

Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max) provides a general model for resource scheduling in many real-world problems (such as manufacturing and construction engineering). Due to its practical importance and generality, providing effective algorithms and scalable solutions for RCPSP/max is a topic of growing research. Traditional methods have addressed deterministic models with all parameters known with certainty. In this thesis, we are concerned with RCPSP/max problems in an uncertain environment where durations of activities are stochastic and resource availabilities are subject to unforeseen breakdowns. We propose methods for generating robust execution strategy to protect against …

Go Niche Or Go Home: Influence Maximization In The Presence Of Strong Opponent, Long Foong Liow

Dissertations and Theses Collection (Open Access)

In hotly contested product categories dominated by a few powerful firms, it is quite common for weaker or late entrants to focus only on particular segments of the whole market. The rationale for such strategy is intuitive: to avoid direct confrontation with heavy-weight firms, and to concentrate in segments where these weaker firms have comparative advantages. In marketing, this is what people called “go niche or go home”. The niche-building strategy may rely on “homophily”, which implies that consumers in a particular market segment might possess certain set of attributes that cause them to appreciate certain products better (in other …

On Critical Infrastructure Interdependency, Polinpapilinho F. Katina, C. Ariel Pinto

Engineering Management & Systems Engineering Faculty Publications

Developing effective protection, mitigation, and recovery measures for critical infrastructure (CI) systems is paramount in the wake of increasing natural and manmade hazards, risks, and threats. Influencing protection, rescue, and recovery measures are interplays (i.e., interdependencies) among infrastructure systems. Understanding interdependencies plays an essential role in minimizing and reducing cascading failures among complex interdependent infrastructure systems. This paper asserts that deployment of protection, mitigation, and recovery solutions can have little effect on infrastructure management if infrastructure operators and policymakers have partial understanding of infrastructure interdependencies. Using narrative research, authors illustrate that effective coordination and response for protection, mitigation, and recovery …

Preface To Part Ii Computational Intelligence And Machine Learning, Rosemary D. Paradis, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

No abstract provided.

Adaptive Dynamic Programming For High-Dimensional, Multicollinear State Spaces, Bancha Ariyajunya

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Dynamic programming (DP) is a mathematical programming method for optimizing a system changing over time and has been used to solve multi-stage optimization problems in manufacturing systems, environmental engineering, and many other fields. Exact solutions are only possible for small problems or under very limiting restrictions, but computationally practical approximate DP methods now exist. Most continuous-state problems require discretization of the state space. A design and analysis of computer experiments (DACE) approach for approximate DP uses experimental design and statistical modeling to approximate the value function in continuous-state problems. However, ideal experimental designs are orthogonal, and when the state variables …

Cnt Reinforced Epoxy Foamed And Electrospun Nano-Fiber Interlayer Systems For Manufacturing Lighter And Stronger Featherweight Composites, Vasileios M. Drakonakis

Industrial, Manufacturing, and Systems Engineering Dissertations - Archive

Multiple works have been performed in improving carbon fiber reinforced polymer (CFRP) composites especially in terms of strength so delamination, which is the major defect in laminated composites, is prevented. Nevertheless, there is not much focus on improving conventional CFRP systems in terms of weight especially when these are used in primary structures. This work questions whether lighter and at the same time stronger CFRP composites can be manufactured in order to replace conventional CFRP systems in major applications. Under this perspective, this study demonstrates that inducing controlled porosity may offer a systemic approach for manufacturing light weight carbon fiber …

Measurement And Analysis Of Vehicle Vibration For Delivering Packages In Small‐Sized And Medium‐Sized Trucks And Automobiles, Vanee Chonhenchob, Sher Paul Singh, Jay Jagjit Singh, Joseph Stallings, Gary Grewal

Industrial Technology and Packaging

In distribution, packaged products are subjected to the variation in vibration levels from transport vehicles that vary in frequency and acceleration while moving to their destinations. This vibration may negatively affect the product or packaging. This study measured and analysed vibration levels in vehicles commonly used to transport packages in the last leg of the package delivery service that is used by single‐parcel carriers. Using data recorders, we monitored vertical, lateral and longitudinal vibrations over 75 h of travel time in five different types of small and medium package delivery vehicles. The study presents these data as power density (PD) …

Extending Origami Technique To Fold Forming Of Sheet Metal Products, Ala Qattawi

All Dissertations

This dissertation presents a scientific based approach for the analysis of folded sheet metal products. Such analysis initializes the examination in terms of topological exploration using set of graph modeling and traversal algorithms. The geometrical validity and optimization are followed by utilizing boundary representation and overlapping detection during a geometrical analysis stage, in this phase the optimization metrics are established to evaluate the unfolded sheet metal design in terms of its manufacturability and cost parameters, such as nesting efficiency, total welding cost, bend lines orientation, and maximum part extent, which aides in handling purposes. The proposed approach evaluates the design …

Dock Assignment And Truck Scheduling Problems At Cross-Docking Terminals, Ching-Jung Ting, Amanda G. Rodríguez López

12th IMHRC Proceedings (Gardanne, France – 2012)

In this paper, we consider the integration of dock assignment and truck scheduling problem at cross-docking terminals. The problem is first formulated as a 0-1 integer programming model. Since both dock assignment and truck scheduling problems are NP-hard, its integration is more difficult to solve. Thus we propose reduced variable neighborhood search (RVNS) algorithms to solve the problem. Computational experiments are carried out on four set of instances. The results show that RVNS is capable of finding good solutions in a much shorter computation time when it is compared with optimization solver Gurobi’s solutions.