Operations Research, Systems Engineering and Industrial Engineering Commons^™

Coping With The Curse Of Dimensionality By Combining Linear Programming And Reinforcement Learning, Scott H. Burton

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Reinforcement learning techniques offer a very powerful method of finding solutions in unpredictable problem environments where human supervision is not possible. However, in many real world situations, the state space needed to represent the solutions becomes so large that using these methods becomes infeasible. Often the vast majority of these states are not valuable in finding the optimal solution. This work introduces a novel method of using linear programming to identify and represent the small area of the state space that is most likely to lead to a near-optimal solution, significantly reducing the memory requirements and time needed to arrive …

Optimum Failure Truncated Testing Strategies, Erik Kostandyan

Dissertations

Accumulated fatigue damage on mechanical components due to random stress loads eventually causes failure. Therefore products with lower failure rates are more desirable. Testing mechanical components for their intended purpose under predetermined working conditions is a common practice used by industries to prevent failures. Fatigue tests are categorized as Time Truncated or Failure Truncated, known in the literature as Type I and Type II tests, respectively. In failure truncated tests, the mechanical components are tested until the desired number of results is obtained. The parameters of a typical failure truncated test include the capacity of the test facility, the actual …

Screen Printing Scheduling Methodology, Brandon Wolfe, Kyle Naylor

Graphic Communication

As the shift towards offshore business within the screen printing industry increases, American businesses must find a way to remain competitive. Due to manufacturing costs and regulation it is impossible for Americans to compete with the low per unit cost of foreign suppliers. By decreasing the time to market, American businesses will be able to remain competitive and recover lost business. In order to achieve this, a flexible scheduling model must be developed in order to increase throughput of a production process. This model serves to account for variables and variances that occur within the screen printing process, allowing for …

Maximizing Throughput Using Dynamic Resource Allocation And Discrete Event Simulation, Gregory Gunn

All Theses

This research studies a serial two stage production system with two flexible servers which can be dynamically assigned to either station. This is modeled using discrete event simulation and more specifically the Arena software package by Rockwell. The goal is to determine dynamic allocation policies based upon the inventory level at each station to maximize the throughput of finished goods out of the system. This model adds to previous work by including actual switching time. The effect of the pre-emptive resume assumption is gauged, and the effectiveness of the OptQuest optimization package is also tested. Studies are conducted to determine …

Optimizing Green Sand Properties Of Fluidized Sand From Aeration And Developing New Green Sand Testing Technique, Ananda Mani Paudel

Dissertations

Aeration sand filling is a new molding technique in foundry. Using this technique, sand with smooth flow can be filled in any orientation and shape using low-pressure air. This is not possible by conventional gravity and high-pressure blow filling techniques. Aeration was introduced as an energy-efficient and environmentally- friendly sand molding technique. In addition, aeration has its niche on quality of molds it could produce. Friability, one of the crucial green properties for the quality mold was significantly low in aeration in comparison to the gravity and high-pressure blow filling. The fluidization action in aeration acted upon the sand clay …

The Use Of Factor Analysis In The Development Of Hand Sizes For Glove Design, Trevor M. Mclain

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

Factor analysis was used to develop a more detailed description of the human hand to be used in the creation of glove sizes; currently gloves sizes are small, medium, and large. The created glove sizes provide glove designers with the ability to create a glove design that can provide fit to the majority of hand variations in both the male and female populations. The research used the American National Survey (ANSUR) data that was collected in 1988. This data contains eighty-six length, width, height, and circumference measurements of the human hand for one thousand male subjects and thirteen hundred female …

Adaptive Cutting Force Control For Process Stability Of Micro Ultrasonic Machining, Ala'a M. Al-Okaily

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

The growing demand for miniaturized products motivates the advancement in micromanufacturing processes research and development. Micro Ultrasonic Machining (Micro USM) is a downscaled version of a macro USM process that is developed to fabricate complex features in chemically inert, nonconductive, hard, brittle materials such as quartz, glass, and ceramics. These materials have many applications in various fields such as optics, electronics, MEMS, and biotechnology. The micro USM process stability is hard to accomplish, because it is highly influenced by the accuracy of the machining system and the variation of the process control parameters. The repeatability of micro USM machined features …

Study Of Micro Rotary Ultrasonic Machining, Aarati Sarwade

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

Product miniaturization for applications in fields such as biotechnology, medical devices, aerospace, optics and communications has made the advancement of micromachining techniques essential. Machining of hard and brittle materials such as ceramics, glass and silicon is a formidable task. Rotary ultrasonic machining (RUM) is capable of machining these materials. RUM is a hybrid machining process which combines the mechanism of material removal of conventional grinding and ultrasonic machining. Downscaling of RUM for micro scale machining is essential to generate miniature features or parts from hard and brittle materials.

The goal of this thesis is to conduct a feasibility study and …

Point-Based Backup For Decentralized Pompds: Complexity And New Algorithms, Akshat Kumar, Shlomo Zilberstein

Research Collection School Of Computing and Information Systems

Decentralized POMDPs provide an expressive framework for sequential multi-agent decision making. Despite their high complexity, there has been significant progress in scaling up existing algorithms, largely due to the use of point-based methods. Performing point-based backup is a fundamental operation in state-of-the-art algorithms. We show that even a single backup step in the multi-agent setting is NP-Complete. Despite this negative worst-case result, we present an efficient and scalable optimal algorithm as well as a principled approximation scheme. The optimal algorithm exploits recent advances in the weighted CSP literature to overcome the complexity of the backup operation. The polytime approximation scheme …

Towards Finding Robust Execution Strategies For Rcpsp/Max With Durational Uncertainty, Na Fu, Pradeep Varakantham, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Resource Constrained Project Scheduling Problems with minimum and maximum time lags (RCPSP/max) have been studied extensively in the literature. However, the more realistic RCPSP/max problems — ones where durations of activities are not known with certainty – have received scant interest and hence are the main focus of the paper. Towards addressing the significant computational complexity involved in tackling RCPSP/max with durational uncertainty, we employ a local search mechanism to generate robust schedules. In this regard, we make two key contributions: (a) Introducing and studying the key properties of a new decision rule to specify start times of activities with …

A Decision Model For Nurse-To-Patient Assignment, Ilgin Acar

Dissertations

A critical consequence of the current nurse shortage in the US may be an increase in the workloads on hospital nurses. Heavy workloads have been identified as a major cause of job dissatisfaction among hospital nurses and may ultimately lead to a reduction in the quality of patient care. A focus on the balancing of the workload among scheduled nurses through patient assignments can help to alleviate the chance of assigning excessive workloads to one or more nurses during a shift. Nurse-to-patient assignment, the final stage of the nurse planning was the main intention of this study. It is reasonable …

Evaluation Method For Strategic Investments, Olabode Alabi

Department of Industrial and Management Systems Engineering: Dissertations, Theses, and Student Research

Real Options Analysis (ROA) has become a complimentary tool for engineering economics. It has become popular due to the limitations of conventional engineering valuation methods; specifically, the assumptions of uncertainty. Industry is seeking to quantify the value of engineering investments with uncertainty. One problem with conventional tools are that they may assume that cash flows are certain, therefore minimizing the possibility of the uncertainty of future values. Real options analysis provides a solution to this problem, but has been used sparingly by practitioners. This paper seeks to provide a new model, referred to as the Beta Distribution Real Options Pricing …

Hydrogen Fuel Cell Analysis: Lessons Learned From Stationary Power Generation Final Report, Scott E. Grasman, John W. Sheffield, Fatih Dogan, Sunggyu Lee, Umit O. Koylu, Angie Rolufs

Materials Science and Engineering Faculty Research & Creative Works

This study considered opportunities for hydrogen in stationary applications in order to make recommendations related to RD&D strategies that incorporate lessons learned and best practices from relevant national and international stationary power efforts, as well as cost and environmental modeling of pathways. The study analyzed the different strategies utilized in power generation systems and identified the different challenges and opportunities for producing and using hydrogen as an energy carrier. Specific objectives included both a synopsis/critical analysis of lessons learned from previous stationary power programs and recommendations for a strategy for hydrogen infrastructure deployment. This strategy incorporates all hydrogen pathways and …

Maintenance Optimization For Substations With Aging Equipment, Haifeng Ge

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Today’s electric utilities are confronted with a myriad of challenges that include aging infrastructure, enhanced expectation of reliability, reduced cost, and coping effectively with uncertainties and changing regulation requirements. Utilities rely on Asset Management programs to manage inspections and maintenance activities in order to control equipment conditions. However, development of strategies to make sound decisions in order to effectively improve equipment and system reliability while meeting constraints such as a maintenance budget is a challenge.

The primary objective of this dissertation is to develop models and algorithms to study the impact of maintenance toward equipment/system reliability and economic cost, and …

Computer Simulation To Manage Lean Manufacturing Systems, Ahmed Deif

Industrial Technology and Packaging

There is a difference between a lean manufacturing system and a manufacturing system that just applies lean techniques. This paper addresses the previous statement through using computer simulation to explore the impact of applying just in time lean policy on a traditional inventory based production system. A system dynamics model is introduced to capture the different components of the production system. The inventory dynamics of the modeled system is examined against different production scenarios under stochastic demand. Results showed that in systems that are not fully transferred to lean, adopting lean principles are not always beneficial. The paper suggests some …

Residual Variance Estimation Using A Nearest Neighbor Statistic, Elia Liitiäinen, Francesco Corona, Amaury Lendasse

Engineering Management and Systems Engineering Faculty Research & Creative Works

In This Paper We Consider the Problem of Estimating E [(Y - E [Y {Divides} X])2] based on a Finite Sample of Independent, But Not Necessarily Identically Distributed, Random Variables (Xi, Yi) i = 1m. We Analyze the Theoretical Properties of a Recently Developed Estimator. It is Shown that the Estimator Has Many Theoretically Interesting Properties, While the Practical Implementation is Simple. © 2010 Elsevier Inc. All Rights Reserved.

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Tracking Of Bone Mass And Density During Childhood And Adolescence, Heidi J. Kalkwarf, Vicente Gilsanz, Joan M. Lappe, Sharon Oberfield, John A. Shepherd, Thomas N. Hangartner, Xangke Huang, Margaret M. Frederick, Karen K. Winer, Babette S. Zemel

Biomedical, Industrial & Human Factors Engineering Faculty Publications

Context: Whether a child with low bone mineral density (BMD) at one point in time will continue to have low BMD, despite continued growth and maturation, is important clinically. The stability of a characteristic during growth is referred to as “tracking.”

Objective: We examined the degree of tracking in bone mineral content (BMC) and BMD during childhood and adolescence and investigated whether tracking varied according to age, sexual maturation, and changes in growth status.

Design: We conducted a longitudinal study with measurements at baseline and annually for 3 yr.

Setting: The Bone Mineral Density in Childhood Study was conducted at …

Using Quality Attributes And Computational Intelligence To Generate And Evaluate System Architecture Alternatives, Atmika Singh, Cihan H. Dagli

Engineering Management and Systems Engineering Faculty Research & Creative Works

This paper proposes an evolutionary algorithm based approach for evolving architecture alternatives using quality attributes as design drivers. A novel fuzzy architecture assessment approach is presented to quantitatively evaluate the set of possible solutions based on linguistic assessments of architecture quality attributes elicited from the stakeholders. The proposed approach makes a valuable contribution to the systems architecting knowledge base by presenting a measurable and quantifiable approach to architecture design and evaluation.

Measurement, Analysis And Comparison Of Drops Experienced By Packages In Inter-State And Intra-State Next Day Shipments In United States, K. Saha, Jay A. Singh, S. P. Singh

Industrial Technology and Packaging

Several past studies have been conducted for the purpose of measuring and analyzing the dynamics of single package shipping environment for the next day delivery services provided by companies including DHL, FedEx, UPS and USPS. Over the past few decades increased shipping hazard evaluations using data recorders has influenced protective package designs to offer optimized product protection due to a better understanding of the distribution environment. This study analyzes the drops sustained by packages during next day shipments within California (intra-state) using two different carriers—FedEx and OnTrac andwithin United States for shipments to two different regions in east and west …