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Articles 151 - 169 of 169
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Functional Data Analysis For Environmental And Biomedical Problems, Chivalai Temiyasathit
Functional Data Analysis For Environmental And Biomedical Problems, Chivalai Temiyasathit
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Vast amounts of data are being generated due to the development of sensing technology. Among those, one of the common types of data usually found in various discipline is the functional data. Because the functional data are generally collected in a wide area of interest over a relatively long period, such analyses should take into account both temporal and spatial characteristics. Furthermore, combinations of observations from multiple locations, each with a large number of serially correlated values, lead to a situation that poses a great challenge to analytical and computational capabilities. In contrast, data obtained from medical and biomedical researches …
Unmanned Aerial Vehicle Routing With Limited Risk, Siriwat Visoldilokpun
Unmanned Aerial Vehicle Routing With Limited Risk, Siriwat Visoldilokpun
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Due to safety and uninhabitable surrounding environments, long range Unmanned Aerial Vehicles (UAVs) have become an increasingly popular option in both scientific and military applications. With troubling oil prices, a logistic planner requires an efficient method to identify an optimal routing solution. The solution should not only optimize the bottom line objective but must also control variations in an operation.We study the UAV routing problem with limited risk (URPR) in which the considered risk is a fuel burn variance caused by wind variation. The URPR determines the optimal route that minimizes total expected fuel burn to visit all assigned targets …
Multi-Objective Evaluation Of Dynamic Facility Layout Using Ant Colony Optimization, Gary Yu-Hsin Chen
Multi-Objective Evaluation Of Dynamic Facility Layout Using Ant Colony Optimization, Gary Yu-Hsin Chen
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The Dynamic Facility Layout Problem (DFLP) deals with changes of facility layout throughout time. As an extension to Static Facility Layout Problem (SFLP), it has gathered increasing interests lately. Facility layouts are constantly modified over time either to meet customers' changing demands in product designs and functionalities or to keep pace with technological innovations. Manufacturers must stay flexible and agile and frequent facility layout changes are needed. Since there is often insufficient time and insufficient funding to build a new manufacturing plant, it is often necessary to rearrange the current plant layout. Even though the rearrangement of plant layout can …
Formulation Of Lean Six Sigma Critical Business Processes For Manufacturing Facilitites, Chaucey Chandler
Formulation Of Lean Six Sigma Critical Business Processes For Manufacturing Facilitites, Chaucey Chandler
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The author desired to create a method organizing the concepts from Lean, Six Sigma, critical business processes, and simplifying the usage of these concepts to identify Lean Six Sigma Critical Business Processes. Inspired by Laura Meade (1997) and the author's passion concerning process improvements, this research was created. Lean activities eliminate waste, Six Sigma activities eliminate variation, critical business processes focus on those areas that need improvement and are critical to the process, and Analytical Network Process (ANP) models problems considering the interactions between levels. There is value for all companies to implement at least one of these tools. Since …
System And Method For The Pooling Of Sterile Product, David A. Edelen
System And Method For The Pooling Of Sterile Product, David A. Edelen
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This dissertation defines an automated system and method for removing the tops from individual sealed bottles and pooling the small volumes of liquid contained in each bottle together in a collection container while maintaining the sterility of the product. This research further applied system development and process improvement methodology. More particularly, this research solved a previously unsolved problem through the unique research and development, and application of ultrasonic technology, to mitigate both product and personnel risk, and provide process improvement, as associated with the aseptic process for the pooling of sterile product.
A Robust Cooperative Localization System For A Heterogeneous Team Of Small Unmanned Ground Vehicles, Veera Jawahar Vibeeshanan
A Robust Cooperative Localization System For A Heterogeneous Team Of Small Unmanned Ground Vehicles, Veera Jawahar Vibeeshanan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This dissertation presents an organic approach to the cooperative localization problem by sequentially solving the problems of sensor calibration, multi-sensor fusion filtering, and cooperative localization. Successful navigation of unmanned ground vehicles requires accurate localization. Localization refers to the determination of the pose (position and orientation) of an unmanned ground vehicle with respect to a local or a global frame of reference. Cooperative localization is suited to multi-vehicle systems where vehicles with better accuracy in localization can assist those with poor accuracy through communication and relative pose sensing. A parametric modeling approach is presented for sensor calibration. Designed experiments are conducted …
Integrated Nurse Staffing And Assignment Under Uncertainty, Prattana Punnakitikashem
Integrated Nurse Staffing And Assignment Under Uncertainty, Prattana Punnakitikashem
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
One of the major problems in the United States health care system is a shortage of nurses. Baby boomers and an increasing elderly population are the main reasons for a rapidly growing demand for nurses. Besides the decline in enrollments in registered nurse degree programs, many nurses have suffered from work burnout. High workloads and undesirable schedules are two major issues that cause nurses' job dissatisfaction. As a result, nurses plan to leave their jobs causing low retention and low entering rates. One consequence of the shortage is that excessive workload on nurses decreases the quality of patient care. Many …
A Data-Integrated Simulation-Based Optimization Approach For Nurse-Patient Assignment, Duraikannan Sundaramoorthi
A Data-Integrated Simulation-Based Optimization Approach For Nurse-Patient Assignment, Duraikannan Sundaramoorthi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research develops a novel data-integrated simulation to evaluate nurse-patient assignments (SIMNA) based on a real data set provided by Baylor Regional Medical Center (Baylor) in Grapevine, Texas. Tree-based models and kernel density estimation were utilized to extract important knowledge from the data for the simulation. Classification and Regression Tree models, data mining tools for prediction and classification, were used to develop five tree structures: (a) four classification trees, from which transition probabilities for nurse movements are determined; and (b) a regression tree, from which the amount of time a nurse spends in a location is predicted based on factors …
New Equilibria For Noncooperative Games, Phantipa Insuwan
New Equilibria For Noncooperative Games, Phantipa Insuwan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In this dissertation we present an alternative to the Nash Equilibrium (NE), which is regarded as the fundamental solution concept in game theory. An NE provides a solution in which no player can improve his payoff by unilaterally changing strategies. However, the NE has weaknesses as exemplified by the paradoxical Prisoner's Dilemma game, where the unique NE is dominated by another possible outcome. Moreover, an NE assumes all players select their strategies according to the same NE so equilibrium holds. For multiple NE's, no standard approach exists for selecting a single one, though various refinements such as perfect Nash equilibria …
Scalar Equilibria For N-Person Games, Narakorn Engsuwan
Scalar Equilibria For N-Person Games, Narakorn Engsuwan
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
In this dissertation we develop a scalarization approach for one-shot, n-person games by defining the notion of Scalar Equilibria. We first show that existing solution concepts can be represented as Scalar Equlibria. For example, Regret, Disappointment, and Joint Equilibrium can be determined by defining Regret, Disappointment, and Joint Scalar Equilibria. These scalar equilibria are useful for finding pure strategies when pure Regret, Disappointment, and Joint Equilibria do not exist. Next, we present the Maximin Scalarization Equilibrium to yield maximin solution concept. In addition, we propose other Scalar Equilibria for various notions of rationality. The Aspiration Scalar Equilibrium is developed for …
Branch-And-Cut-And-Price Methods For Logistics Problems With Limited Risk, Hee-Su Hwang
Branch-And-Cut-And-Price Methods For Logistics Problems With Limited Risk, Hee-Su Hwang
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
There exist many uncertainties in a logistics system, such as unknown demand, unsteady fuel cost, machine breakdowns, and accidents to name a few. Logistics management is difficult because logistics managers must solve a global optimization problem, which includes eliminating as much uncertainty as possible, finding effective methods of managing uncertainty, and operating the entire logistics system effectively. To cope with uncertainty, many efforts have been made for vehicle routing problems. On the contrary, traditional ship-scheduling models ignore uncertainty, even in highly volatile markets. We present a set-packing model that limits risk using a quadratic variance constraint. After generating first-order linear …
An Analytical Performance Management Framework Enabiling Enterprise Strategy Management, Amr Abu-Suleiman
An Analytical Performance Management Framework Enabiling Enterprise Strategy Management, Amr Abu-Suleiman
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Performance management has gained noticeable interest from both researchers and executive in the past two decades. Financial measures are no longer a primary emphasis for researchers and executives. One of the most popular performance management methodologies is the Balanced Scorecard. The Balanced Scorecard framework facilitates translating strategy into objectives and initiatives across four perspectives. These perspectives are financial, customer, internal processes, and learning and growth. The second component of the balanced scorecard is strategy maps. Strategy maps outline the cause and effect between the four perspectives, and illustrate the value creation process through transforming leading indicators (operational measures) into lagging …
The Development Of A Design Ontology For Products And Processes, Md Baniamin Sarder
The Development Of A Design Ontology For Products And Processes, Md Baniamin Sarder
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This research develops a methodology called, Design Knowledge Acquisition Process (DKAP) for creating ontology of product and process design using IDEF5 and to develop a consistency matrix for checking accuracy of captured information. It constructs an ontology of a generic product and process design using the developed DKAP methodology. Designing products and processes is very challenging and vital for manufacturing enterprises to stay in the competitive market. Manufacturers want to launch their products in the market as quickly as possible while satisfying their customers in terms of quality, cost and delivery. In order to lunch the products early and/or to …
Convex Versions Of Multivariate Adaptive Regression Splines And Implementations For Complex Optimization Problems, Dachuan Thomas Shih
Convex Versions Of Multivariate Adaptive Regression Splines And Implementations For Complex Optimization Problems, Dachuan Thomas Shih
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Multivariate Adaptive Regression Splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data. In optimization, MARS has been used successfully to estimate the value function in stochastic dynamic programming, and MARS could be potentially useful in many real world optimization problems where objective (or other) functions need to be estimated from data, such as in simulation optimization. Many optimization methods depend on convexity, but a nonconvex MARS approximation is inherently possible because interaction terms are products of univariate terms. In this dissertation, convex …
A Methodology For Evaluating The Performance Of Reverse Supply Chains In Consumer Electronics Industry, Srikanth Sastry Yellepeddi
A Methodology For Evaluating The Performance Of Reverse Supply Chains In Consumer Electronics Industry, Srikanth Sastry Yellepeddi
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Enterprises around the world are employing reverse supply chain practices to generate profit making opportunities while meeting new regulations. As a result of the rapid progress in technology the product lifecycles are shrinking faster than ever. In the face of global competition, heightened environmental regulations and a wealth of additional profits and improved corporate image opportunities, performing the reverse supply chain operations at a world class level is becoming quintessential. These factors in addition to the inherent complexity of reverse supply chains due to the uncertainties associated with the quantity, quality, and timing of returns make returns management very complicated. …
Optimization Models For Leishmaniasis Control: A Case For Bihar, India, Kaushik Gorahava
Optimization Models For Leishmaniasis Control: A Case For Bihar, India, Kaushik Gorahava
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
Leishmaniasis, is a family of infectious diseases, which mostly affects poor and developing countries. The highest prevalence and mortality rate of Visceral Leishmaniasis (VL) the world over occurs in Bihar state of India. Many disease control methods are available; however, procedures aimed at reducing sandfly population by spraying insecticide have been the most effective for controlling VL in Bihar. In this dissertation, optimization models for the control of Leishmaniasis are developed and analyzed. Novel optimization models are built and analyzed to identify the optimal amount of insecticide allocated for controlling the spread of VL in Bihar. Since the vector (disease …
Statistical Modeling Approach To Airline Revenue Management With Overbooking, Sheela Siddappa
Statistical Modeling Approach To Airline Revenue Management With Overbooking, Sheela Siddappa
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
A Revenue Management (RM) method in the airline industry plays a very important role in maximizing revenue under various uncertainty issues, like customer demand, the number of seats to be maintained in inventory, the number of seats to be overbooked, etc. In this dissertation, a Markov decision process (MDP) based approach using statistical modeling is presented. Prior versions of this statistical modeling approach have employed remaining seat capacity ranges from zero to the capacity of the aircraft. In reality, actual remaining capacities are near capacity when the booking process begins and near zero when the flights depart. Thus, our modified …
Robust Airline Fleet Assignment, Venkata Pilla
Robust Airline Fleet Assignment, Venkata Pilla
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
The fleet assignment model allocates the fleet of aircraft types to the scheduled flight legs in the airline timetable published 90 days prior to the departure of the aircraft. The objective is to maximize profit. While costs associated with assigning a particular fleet type to a leg are easy to estimate, the revenues are based upon demand, which is realized close to departure. The uncertainty in demand makes it challenging to assign the right type of aircraft to each flight leg based on the forecasts taken 90 days prior to departure. Therefore, in this dissertation a two-stage stochastic programming framework …
Statistics-Based Approaches To Stochastic Optimal Control Problems, Aihong Wen
Statistics-Based Approaches To Stochastic Optimal Control Problems, Aihong Wen
Industrial, Manufacturing, and Systems Engineering Dissertations - Archive
This dissertation develops practical approaches to stochastic optimal control problems in the absence of linear system transition functions, quadratic cost functions, and/or Gaussian random disturbances. In such type of problems, an analytical solution is impossible and numerical synthesis techniques have to be applied. The ''classic'' algorithms existing in the literature suffer from the problem of the''curse of dimensionality,'' an exponential increase of computation time and memory requirements as the dimension of the problem grows. The statistics-based numerical approaches are presented as the main tools for mitigating the ``curse of dimensionality'' phenomenon. Two approaches are explored: (A) stochastic dynamic programming (SDP), …