Industrial Engineering Commons^™

Revisiting The One-Sided Ewma Control Chart Design, Duy Anh Duong-Tran

Masters Theses

Over the past half-century, Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control to detect small and persistent process shifts. In theory, EWMA control limits monotonically increase over time to account for the continual growth of the EWMA statistic’s variance. These control limits are often assumed constant and are set to their respective asymptotic limits. While not theoretically correct, this simplifies the process of applying and analyzing the EWMA control chart while having little effect on the chart’s performance. One-Sided EWMA charts are often implemented when it is only desirable to detect shifts in …

Impact Of A Localized Lean Six Sigma Implementation On Overall Patient Safety And Process Efficiency, Luvianca G. Gil-Moreno

Engineering Management & Systems Engineering Theses & Dissertations

Continuous quality improvement tools have been widely used in the Healthcare Industry to increase efficiency and patient safety as well as to reduce cost. This research explores the impact of a Lean Six Sigma (LSS) process improvement initiative on the overall process efficiency and patient safety in the Labor and Delivery (L+D) units of a large hospital provider. This study focuses on the application of a 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 …

Learning Curves: An Alternative Analysis, Sharif F. Harris

Theses and Dissertations

Learning curves are used to describe and estimate the cost performance of a serial production process. There are numerous different models and methods, however, it is not definitively known which is preferred. The research objective is to performance compare the more common learning curve models. The research goal is improved understanding of the systemic cost drivers of a production process, their relationship to cost, and present modeling methods. The research method is qualitative analysis combined with statistical regression modeling. The research identified that preference for one function or another depended upon the shape of the data and how well a …

Optimal Bidding Strategy For A Strategic Power Producer Using Mixed Integer Programming, Sayed Abdullah Sadat

USF Tampa Graduate Theses and Dissertations

The thesis focuses on a mixed integer linear programming (MILP) formulation for a bi-level mathematical program with equilibrium constraints (MPEC) considering chance constraints. The particular MPEC problem relates to a power producer’s bidding strategy: maximize its total benefit through determining bidding price and bidding power output while considering an electricity pool’s operation and guessing the rival producer’s bidding price. The entire decision-making process can be described by a bi-level optimization problem. The contribution of our thesis is the MILP formulation of this problem considering the use of chance constrained mathematical program for handling the uncertainties.

First, the lower-level poor operation …

Liquid Force Kite Control System Design, Brendan Kerr, Brodie Sutherland, Alden Simmer

Industrial and Manufacturing Engineering

Kiteboarding is an ocean sport wherein the participant, also known as a kiter, uses a large inflatable bow shaped kite to plane across the ocean on a surfboard or wakeboard. The rider is connected to his or her kite via a control bar system. This control system allows the kiter to steer the kite and add or remove power from the kite, in order to change direction and increase or decrease speed. This senior project focused on creating a new control bar system to replace a control bar system manufactured by a kiteboarding company, Liquid Force. The current Liquid Force …

Creating The Foundation For A Startup: Design And Implementation Of A Database System For An Electrical Bicycle Rental Company, Alejandro Martinez

Industrial and Manufacturing Engineering

BoltAbout was started by 4 Cal Poly students, and their COO is a fellow Industrial Engineering student that I met during the first half of the senior project series class. He presented the project to me and I decided to work with him in developing this new database for his startup company. BoltAbout’s customer base is growing and current operations are not fit to meet the demand of a growing company. More specifically, their data management system can’t be used by all current employees to perform essential tasks such as rental processing, bicycle and equipment organization, and customer data analysis. …

A Study Into The Production Efficiency Of Cal Poly Chocolates, Fernando Calderon

Industrial and Manufacturing Engineering

The project objective was to: identify ways to reduce the production cost of Cal Poly Chocolates. The project was executed through the DMAIC approach, a data driven improvement cycle. Using several industrial engineering tools, six improvement opportunities were found. Three project deliverables were created and three process changes were recommended. The total annual savings, if recommendations are implemented, sum to $1700.

Identifying Key Factors Of Rail Transit Service Quality: An Empirical Analysis For Istanbul, Erkan Isikli, Nezir Aydin, Erkan Celik, Alev Taskin Gumus

Journal of Public Transportation

Providing a high quality of service in public transportation is essential to reduce dissatisfactions stemming from traffic congestion and noise. Public transport providers need to find ways to dilute the effects of immoderate use of private cars in big cities while maintaining a sufficient level of customer satisfaction. This study aimed to identify the key service quality (SQ) factors that drive passenger satisfaction in Istanbul’s rail transit (RT) system using data obtained from an extensive survey conducted by the Istanbul Public Transportation Co. A total of 11,116 passengers who used rail transport from May 15–June 3, 2012, and June 17–July …

Carbon Footprint Stock Analysis Of U.S. Manufacturing: A Time Series Input-Output Lca, Gokhan Egilmez, Khurrum Bhutta, Bulent Erenay, Yong Shin Park, Ridvan Gedik

Mechanical and Industrial Engineering Faculty Publications

The purpose of this paper is to provide an input-output life cycle assessment model to estimate the carbon footprint of US manufacturing sectors. To achieve this, the paper sets out the following objectives: develop a time series carbon footprint estimation model for US manufacturing sectors; analyze the annual and cumulative carbon footprint; analyze and identify the most carbon emitting and carbon intensive manufacturing industries in the last four decades; and analyze the supply chains of US manufacturing industries to help identify the most critical carbon emitting industries.

Advances In Composite Manufacturing Of Helicopter Parts, Tobias A. Weber, Hans-Joachim K. Ruff-Stahl

International Journal of Aviation, Aeronautics, and Aerospace

This study investigates and compares different methods for improving standard autoclave composite manufacturing in order to find suitable approaches to a more efficient composite production. The goal is not only a reduction in manufacturing times and costs but also quality enhancement. Improved part quality while decreasing costs enables a manufacturer of composite parts to expand its market share, especially in the helicopter market, which has been constantly shrinking over the last two years. Various approaches such as improved tooling technology, the use of automated systems for lamination as well as outsourcing are examined to provide an overview of possible advancements …

See The Bigger Picture: A True Systems Approach To Healthcare, Brian J. Galli

Faculty of Computer Science/Management Engineering Publications

“Healthcare” is typically related directly to patient care, hospitals, and ambulatory services, but it is important to see that healthcare is beyond just the delivery of care in hospitals or ambulatory services. A more accurate systems approach to views the world of healthcare as one that involves several stakeholders, including: healthcare delivery (patient care in hospitals and ambulatory services), regulatory agencies, health insurance/health plan organizations, medical device design and manufacturers, pharmaceuticals, society, government (all levels), and healthcare reform organizations. All of these stakeholders relate to each other in many levels and impact our healthcare system.

This paper will cover the …

Modeling Of Selective Laser Sintering/ Selective Laser Melting, Xuan Wang, Connor West

Industrial and Manufacturing Engineering

Selective laser sintering and selective laser melting are powder based additive manufacturing (AM) process that can rapidly manufacture parts with comparable mechanical properties to conventional manufacturing methods directly from digital files. However, the processing recipe development and design optimization of AM parts are often based on trial and error which erodes the benefit of AM. Modeling is a powerful tool to enable faster development cycle by significantly reducing the experimental efforts. In this paper we discussed the current status of selective laser sintering/melting modeling, in which the laser and powder interaction was studied to understand and predict the process and …

Survey Of Lean Management Practices In Pakistani Industrial Sectors, Khurrum Bhutta, Gokhan Egilmez, Kamran Chatha, Faizul Huq

Mechanical and Industrial Engineering Faculty Publications

This research was undertaken to study the implementation and adoption of Lean management practices across several industrial sectors in Pakistan. A total of 100 companies were surveyed across five industries. The objective was to determine if there was disparity in the implementation of Lean practices and to provide a yardstick to measure that disparity. Furthermore, this study identified Lean management best practices across several industries in Pakistan, thus providing benchmarks for other industrial sectors. The data collected was analysed using various descriptive statistical methods. The results indicated robust adoption and implementation of Lean practices in Pakistani industry, though there were …

From Green Buildings To Green Supply Chains: An Integrated Input Output Life Cycle Assessment And Optimization Framework For Carbon Footprint Reduction Policy Making, N. Muhammad Aslaam, Gokhan Egilmez, Murat Kucukvar, M.Khurrum S. Butta

Mechanical and Industrial Engineering Faculty Publications

Purpose: This paper focuses on tracing GHG emissions across the supply chain industries associated with the U.S. residential, commercial and industrial building stock and provides optimized GHG reduction policy plans for sustainable development.

Design/Methodology/Approach: A two-step hierarchical approach is developed. Firstly, Economic Input Output-based Life Cycle Assessment (EIO-LCA) is utilized to quantify the GHG emissions associated with the U.S. residential, commercial and industrial building stock. Secondly, a mixed integer linear programming (MILP) based optimization framework is developed to identify the optimal GHG emissions’ reduction (%) for each industry across the supply chain network of the U.S. economy.

Findings: The results …

Developing Innovation Capability In A Mass Production Organization, Mark Douglas Dolsen

Wayne State University Dissertations

ABSTRACT

DEVELOPING INNOVATION CAPABILITY IN A MASS PRODUCTION ORGANIZATION

by

MARK DOLSEN

May 2017

Advisor: Dr. Ratna Babu Chinnam

Major: Industrial Engineering

Degree: Doctor of Philosophy

Auto parts manufacturing is a key element of the North American automotive supply chain, and a significant component of the economy of Ontario, Canada. Employment in this sector declined 40% from 2003 to 2010 as the industry experienced a recession, and many firms relocated to lower wage jurisdictions as the Canadian currency strengthened against the US dollar. Experts contend that the solution for the industry lies in innovation; however, recommendations found in the current …

Product Development Resilience Through Set-Based Design, Stephen H. Rapp

Wayne State University Dissertations

Often during a system Product Development program external factors or requirements change, forcing system design change. This uncertainty adversely affects program outcome, adding to development time and cost, production cost, and compromise to system performance. We present a development approach that minimizes the impacts, by considering the possibility of changes in the external factors and the implications of mid-course design changes. The approach considers the set of alternative designs and the burdens of a mid-course change from one design to another in determining the relative value of a specific design. The approach considers and plans parallel development of alternative designs …

Evolving Clustering Algorithms And Their Application For Condition Monitoring, Diagnostics, & Prognostics, Fling Finn Tseng

Wayne State University Dissertations

Applications of Condition-Based Maintenance (CBM) technology requires effective yet generic data driven methods capable of carrying out diagnostics and prognostics tasks without detailed domain knowledge and human intervention. Improved system availability, operational safety, and enhanced logistics and supply chain performance could be achieved, with the widespread deployment of CBM, at a lower cost level. This dissertation focuses on the development of a Mutual Information based Recursive Gustafson-Kessel-Like (MIRGKL) clustering algorithm which operates recursively to identify underlying model structure and parameters from stream type data. Inspired by the Evolving Gustafson-Kessel-like Clustering (eGKL) algorithm, we applied the notion of mutual information to …

Improved Multi-Task Learning Based On Local Rademacher Analysis, Niloofar Yousefi

Electronic Theses and Dissertations

Considering a single prediction task at a time is the most commonly paradigm in machine learning practice. This methodology, however, ignores the potentially relevant information that might be available in other related tasks in the same domain. This becomes even more critical where facing the lack of a sufficient amount of data in a prediction task of an individual subject may lead to deteriorated generalization performance. In such cases, learning multiple related tasks together might offer a better performance by allowing tasks to leverage information from each other. Multi-Task Learning (MTL) is a machine learning framework, which learns multiple related …

Optimization Approaches For Electricity Generation Expansion Planning Under Uncertainty, Yiduo Zhan

Electronic Theses and Dissertations

In this dissertation, we study the long-term electricity infrastructure investment planning problems in the electrical power system. These long-term capacity expansion planning problems aim at making the most effective and efficient investment decisions on both thermal and wind power generation units. One of our research focuses are uncertainty modeling in these long-term decision-making problems in power systems, because power systems' infrastructures require a large amount of investments, and need to stay in operation for a long time and accommodate many different scenarios in the future. The uncertainties we are addressing in this dissertation mainly include demands, electricity prices, investment and …

A Framework For Measuring Return On Investment For Healthcare Simulation-Based Training, Hatim Bukhari

Electronic Theses and Dissertations

In the healthcare sector, providing high-quality service in a safe environment for both patient and staff is an obvious and ultimate major objective. Training is an essential component for achieving this important objective. Most organizations acknowledge that employee simulation-based training programs are an important part of the human capital strategy, yet few have effectively succeeded in quantifying the real and precise ROI of this type of investment. Therefore, if the training is perceived as a waste of resources and its ROI is not clearly recognized, it will be the first option to cut when the budget cut is needed. The …