Operations Research, Systems Engineering and Industrial Engineering Commons^™

A Meta-Analysis Of Human Factors Analysis And Classification System Causal Factors: Establishing Benchmarking Standards And Human Error Latent Failure Pathway Associations In Various Domains, Katherine Berry

All Dissertations

Many models of accident investigation have been created and have served as the basis for other tools and techniques. One of the most prominent techniques, Reason's Swiss Cheese Model (1990), is based on the idea of active and latent failures. Expanding on this idea, the Human Factors Analysis and Classification System (HFACS) was created with the idea to associate contributing factors and errors (Wiegmann & Shappell, 2003).
While HFACS has been frequently applied in the field of aviation in literature, other industry types are under-represented. Seventeen data sources encompassing various industry types were collected and included in this dissertation analysis. …

Map Estimation For Graphical Models By Likelihood Maximization, Akshat Kumar, Shlomo Zilberstein

Research Collection School Of Computing and Information Systems

Computing a maximum a posteriori (MAP) assignment in graphical models is a crucial inference problem for many practical applications. Several provably convergent approaches have been successfully developed using linear programming (LP) relaxation of the MAP problem. We present an alternative approach, which transforms the MAP problem into that of inference in a finite mixture of simple Bayes nets. We then derive the Expectation Maximization (EM) algorithm for this mixture that also monotonically increases a lower bound on the MAP assignment until convergence. The update equations for the EM algorithm are remarkably simple, both conceptually and computationally, and can be implemented …

Automobile Exhaust Gas Detection Based On Fuzzy Temperature Compensation System, Zhiyong Wang, Hao Ding, Fufei Hao, Zhaoxia Wang, Zhen Sun, Shujin Li

Research Collection School Of Computing and Information Systems

A temperature compensation scheme of detecting automobile exhaust gas based on fuzzy logic inference is presented in this paper. The principles of the infrared automobile exhaust gas analyzer and the influence of the environmental temperature on analyzer are discussed. A fuzzy inference system is designed to improve the measurement accuracy of the measurement equipment by reducing the measurement errors caused by environmental temperature. The case studies demonstrate the effectiveness of the proposed method. The fuzzy compensation scheme is promising as demonstrated by the simulation results in this paper.

Analysis Of Part Consolidation Techniques For Automotive Body In White Panels Based On Advanced Sheet Metal Forming Technologies, Harish Thiruvengadam

All Theses

The automotive industry is looking to move from mass production to mass customization in order to manufacture and sell a variety of products in different markets on a global scale. This requires a robust and cost effective manufacturing system which would help design new products in the shortest possible lead time. This thesis tries to investigate the current sheet metal forming process for body in white, identify the limitations and propose an alternative which would help the industry cut down product lead time and costs. Decision making tools are used to identify the technical requirements of a BIW manufacturing system …

A Structure First Image Inpainting Approach Based On Self-Organizing Map (Som), Bo Chen, Zhaoxia Wang, Ming Bai, Quan Wang, Zhen Sun

Research Collection School Of Computing and Information Systems

This paper presents a structure first image inpainting method based on self-organizing map (SOM). SOM is employed to find the useful structure information of the damaged image. The useful structure information which includes relevant edges of the image is used to simulate the structure information of the lost or damaged area in the image. The structure information is described by distinct or indistinct curves in an image in this paper. The obtained target curves separate the damaged area of the image into several parts. As soon as each part of the damaged image is restored respectively, the damaged image is …

Assortment Planning For Multiple Quality Levels Using Locational Choice, Mark Mcelreath

All Dissertations

Assortment planning is the process in which a retailer selects a product line to offer to customers and is a key determinant of a retailer's profit. We consider the assortment planning problem using a locational choice model for customer product selection and allow for both horizontal and vertical product differentiation. When the distribution of customer preference is unimodal, the optimal solutions for this problem are unknown. We propose two solution philosophies for generating product assortments. First, we introduce a metaheuristic representation for the problem and test the performance of three metaheuristic techniques. We suggest that a tabu search or genetic …

Information Quality On The World Wide Web: A User Perspective, Jaikrit Kandari

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

Information Quality has emerged as an important measure for the success of Information Systems. At the same time the World Wide Web has established itself as the key infrastructure for information administration, exchange, and publication. Users are getting information from the web at the click of a button however they must filter sub-standard information before they can use quality content. Researchers have aimed to address this problem by suggesting various information quality frameworks. Research till date has seen twenty important Information Quality (IQ) frameworks emerge. These models though varied in their approach and application share a number of characteristics regarding …

Estimation Of Mechanical Properties Of Soft Tissue Subjected To Dynamic Impact, Mohamed R.S Amar

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

This study attempted to estimate the damping properties of human tissue by using spring and damper system as a model. Data of impacting human tissue at the deltoid area was used to obtain a continuous, second order system to represent the mass-spring-damper system. A discrete ARMA(2,1) model was fitted using the data obtained from experiments in which the deceleration of a pendulum impacting human shoulders in the area of the deltoid muscle was measured. The data of the deceleration was integrated twice to obtain estimates of displacement. The integration was done until the maximum displacement occurred at zero velocity.

An …

Using A Quality Based Analytic Hierarchy Process To Do Decision-Making Analysis In Transportation, Dejing Kong

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

The automated identification technology, Radio Frequency Identification (RFID), provides the potential to reduce costs in the transportation operations. Local Department of Transportation (DOT) offices have to carefully consider technologies such as RFID when considering their use for operation such as Right of Way (ROW) property control. ROW operations require strategic planning in that inventory and access rights can be contestable in a myriad of situations. This research investigates the comprehensive impacts of using RFID systems for ROW inventory tracking. We utilize the House of Quality as a means to integrating strategic shareholders needs and their impact on the measurement of …

Evaluation Of Periodontal Scaling Task And Development Of Force-Endurance Models For Simulated Scaling Task, Vettrivel Gnaneswaran

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

Force exertion is critical in grasping and holding activities at sub-maximal levels. Exertion misjudgments lead to musculoskeletal disorders (MSDs) impairing performance and productivity. Published literatures on grasping have addressed the force balance and endurance issues for non-prehensile movements of hand. However, little information is available on the force exerted in precision gripping employed in health care. Professionals, especially dental hygienists, when treating patients adopt awkward postures for extended period leading to cumulative trauma. Literatures on cumulative trauma have identified force exertion to be an important risk factor. Lack of information on fatigue with precision gripping motivated this research to establish …

Comprehensive Thermal Modeling Of Power Split Hybrid Power-Train And Electronics, Abdel Mayyas

All Dissertations

Hybrid electric vehicle (HEV) uses both internal combustion engine (ICE) with an electric system. The combination of the electric power train with the ICE is intended to achieve both better fuel economies than the conventional vehicles and better performance. Several types of HEV exist with different layouts. Recent HEVs' make use of regenerative braking, which converts the vehicles' kinetic energy into electric energy instead of wasting it as heat as conventional brakes do. A hybrid-electric is more fuel efficient than ICE and has less environmental impact.
The new HEV with its new Key Characteristics and Configurations (i.e. Mechanical complexity, Multiple …

Order Picking And Storage Using Stackable Pallets In A Warehouse, Ahmed Hassan Aly

All Dissertations

Quarter Billion dollars could be saved annually by double stacking pallets. A forklift storing 100 double stacked pallets saves 2.5 working hours versus single pallets. More than one billion pallets and cases handled between Wal-Mart distribution centers according to BEA White Paper (2006) [1], assume only 500 million were stackable pallets. This translates to 12.5 million working hours. If a forklift driver earns $20 per hour, then $250 million can be saved.
Moreover, handling double stacked pallets takes up to 46 % of total time to pick and store. This is a significant element that was ignored in literature. All …

A Neural Network Based Speed Control Of A Linear Induction Motor Drive, Adel A. Elbaset, Ahmed A. Hassan, Yehia S. Mohamed, T. Hiyama,, T. H. Mohamed

Dr. Adel A. Elbaset

In this paper, a general regression neural network (GRNN) based controller is used to control the speed and thrust output of the linear induction motor drive. The field orientation principle is used to asymptotically decouple the motor speed from the secondary flux. The idea of model predictive control technique is used for the training of the proposed controller. The motivation for using this control strategy for training the GRNN based controller is to reduce the effect of the uncertainty due to motor parameters variation and load disturbance. This newly developed design strategy combines the advantage of the neural networks and …

Closing The Gap Between The Industry And Higher Education Institutions- Case Examples From East African Region, Deogratias Harorimana Mr

Dr Deogratias Harorimana

Much complained about is the quality of graduates Universities put on the labour market. Less talked about however is why knowledge institutions seems to be bad knowledge managers. In this presentation I argue that DIRECT collaborative relationship between Industry,Governments and Higher Education Institutions is a per-requisite.Good relationship is key to building such a successful knowledge transfer strategies between Industries and Educational and Research Institutions. This paper explores what makes a good Knowledge Transfer Partnership Strategy and highlights some key lessons for businesses, Universities and Government bodies. This paper was a Key note presentation to the Annual International Conference on Building …

Evaluation Of The Stress-Energy Methodology To Predict Transmitted Shock Through Expanded Foam Cushions, J. Singh, L. Ignatova, E. Olsen, P. Singh

Industrial Technology and Packaging

Mechanical stresses experienced by packages in the distribution environment include shock and vibration amongst several others. The destructive effects of these hazards can typically be restricted by using cushioning materials to help protect fragile goods during distribution. ASTM D1596 is the conventional standard used to determine shock absorbing performance of a cushioning material for a given combination of static loading, thickness, and drop height. This industry-accepted standard, however, requires significant amounts of transmitted shock data and can be expensive with respect to costs associated with testing and materials amongst others. Alternate stress-energy-based methodologies, developed in the past decade, recommending a …

Multi-Product Budget-Constrained Acquistion And Pricing With Uncertain Demand And Supplier Quantity Discounts, Jianmai Shi, Guoqing Zhang

Mechanical, Automotive & Materials Engineering Publications

We consider the joint acquisition and pricing problem where the retailer sells multiple products with uncertain demands and the suppliers provide all unit quantity discounts.The problem is to determine the optimal acquisition quantities and selling prices so as to maximize the retailer’s expected profit, subject to a budget constraint. This is the first extension to consider supplier discounts in the constrained multi-product newsvendor pricing problem. We establish a mixed integer nonlinear programming (MINLP) model to formulate the problem, and developaLagrangian based solution approach.Computational results for the test problems involving up to thousand products are reported, which show that the Lagrangian …

Acuta Enews November 2010, Vol 39, No. 11

ACUTA Newsletters

ln This lssue

From ACUTA Headquarters: Relief from Cell Phone Regulations ......Jeri A. Semer, CAE, Executive Dir.

Security ls Not a Game......... Curt Harler

Nominate for ACUTA Board of Directors

Tech Talk: Cyber Security and Collateral Damage........ Kevin Tanzillo, Dux PR

Kansas Universities Get $1.176M Grant from the NSF to Enhance Cyber lnfrastructure

Deadline ls Nov.5 for lnstitutional Excellence Award Nominations

Campus Televideo Releases 2010 Bandwidth and lT Report

PAETEC Provides Catting Service

Learn More about Network Management and Financial lssues without Leaving Your Office

Thanks to Exhibitors and Sponsors at Fall Seminar

Washington Update Newsletter

There ls Still SPIT....................Gary …

A Look Into The Future Of Wireless Mobile Communication Technologies, Jisun Kim, Tugrul Unsal Daim, Timothy R. Anderson

Engineering and Technology Management Faculty Publications and Presentations

The number of wireless mobile communication service subscribers has reached 4.6 billion worldwide in 2009, and mobile revenues are expected to be over $1 trillion around 2012 according to the International Telecommunication Union (ITU) (ITU, 2010). A significant number of studies have been done to forecast the growing market and evaluate the new generation technology, the Beyond 3 Generation (B3G). However, there is no study forecasting when any of these new technologies will be commercialized. This paper presents a technical framework for forecasting the commercialization timeline of B3G technologies and provides insight on technology trajectories from 1G to 4G. The …

Comparison Of Classical Analytic Hierarchy Process (Ahp) Approach And Fuzzy Ahp Approach In Multiple-Criteria Decision Making For Commercial Vehicle Information Systems And Networks (Cvisn) Project, Liyuan Zhang

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

Radio Frequency Identification (RFID) has emerged as an important technology with many possible applications in a wide variety of fields. It is said that RFID can perform well in transportation system. Nebraska Department of Motor Vehicles (NEDMV) is using this technique to perform an analysis on utilizing RFID license plates to assist with Commercial Vehicle Information Systems and Networks (CVISN) program with the cooperation of many other stakeholders. Previous House of Quality (HOQ) analysis evaluates stakeholders’ needs and provides the pairwise comparison values of six important technical requirements for each stakeholder. Based on these, this research aims to seek for …

A Bi-Directional Supply Chain Optimization Model For Reverse Logistics, Surendra M. Gupta, Pitipong Veerakamolmal

Surendra M. Gupta

This paper focuses an supply chain optimization system for reverse logistics. The solution approach employs an adaptation of the Materials Requirements Planning (MRP) technique, termed as components requirements planning, to determine the number of components needed to remanufacture products in each time period throughout the planning horizon.

Greedy Algorithm For Disassembly Line Scheduling, Seamus M. Mcgovern, Surendra M. Gupta

Surendra M. Gupta

Remanufacturing, recycling, and disposal recovery operations require the performance of disassembly activities. The disassembly line is the best choice for automated disassembly of returned products, however, finding the optimal balance is computationally intensive with exhaustive search quickly becoming prohibitively large. In this paper, a greedy algorithm is presented for obtaining optimal or near-optimal solutions to the disassembly line balancing problem. The greedy algorithm is a first-fit decreasing algorithm further enhanced to preserve precedence relationships. The algorithm seeks to minimize the number of workstations while accounting for hazardous and high demand components. A hill-climbing heuristic is then developed to balance the …

A Multi-Phase Fuzzy Logic Approach To Strategic Planning Of A Reverse Supply Chain Network, Kishore K. Pochampally, Surendra M. Gupta

Surendra M. Gupta

Strategic planning (also called designing) is a challenging aspect of a reverse supply chain network. To effectively satisfy drivers such as profitability, environmental regulations, and asset recovery, only the most economical used products must be reprocessed in only the recovery facilities that have the potential to efficiently reprocess them. Due to uncertainties in supply, quality, and reprocessing times of used products, the cost-benefit function in the literature that selects the most economical product to reprocess from a set of used products is not appropriate for direct adoption. Moreover, due to the same uncertainties, any traditional forward supply chain approach to …

Pricing Of End-Of-Life Items With Obsolescence, Srikanth Vadde, Sagar V. Kamarthi, Surendra M. Gupta

Surendra M. Gupta

Variability in the inflow of end-of-life (EOL) products and fluctuating inventory levels often make the processing of EOL products an economically risky operation for product recovery facilities (PRFs). Choosing an appropriate pricing policy can enhance the performance of PRFs by methodically clearing their inventory and increasing profits. This work presents two pricing models to counter the prospect of product obsolescence that can happen either gradually or suddenly. Product obsolescence can cause demand drop and inventory pile up, both of which could dent the revenues of PRFs. In the first model, gradual obsolescence and environmental regulations that limit the disposal quantity …

Product Recovery Using A Disassembly Line : Challenges And Solution, Surendra M. Gupta, Askiner Gungor

Surendra M. Gupta

Disassembly plays an important role in product recovery by allowing selective separation of desired parts and materials. The disassembly line is the best choice for automated disassembly of returned products, a feature that will be essential in the future. It is, therefore, important that the disassembly line be designed and balanced so that it works as efficiently as possible. In this paper, the authors address the disassembly line balancing problem and the challenges that come with it.

Disassembly Process Planning Using Petri Nets, Kendra E. Moore, Askiner Gungor, Surendra M. Gupta

Surendra M. Gupta

We generate a disassembly PN (DPN) from a disassembly precedence matrix. The resulting DPN can be analyzed using the reachability tree method to generate all feasible disassembly process plans (DPPs), and cost functions can be used to determine the optimal DPP. Since generating the reachability tree is NP-complete, we develop a heuristic algorithm to limit the size of the reachability tree. The algorithm employs multihypothesis search to dynamically explore the v likeliest lowest cost branches of the tree, in order to identify near-optimal DPPs. The cost function incorporates tool changes, changes in direction movement, and individual part characteristics (e.g., hazardous). …

Determining Optimum And Suboptimum Disassembly Sequences With An Application To A Cell Phone, A.J.D. (Fred) Lambert, Surendra M. Gupta

Surendra M. Gupta

We study the disassembly process of a moderately complex consumer product (cell phone) consisting of 25 components. The investigation involves a heuristically solved disassembly line balancing problem and the determination of an appropriate disassembly sequence influenced by sequence-dependent costs, which is based on a novel combination of exact and heuristic algorithms. The issue of generating various suboptimum solutions to cope with multiple optimization criteria is also discussed.

Planning An Efficient Closed-Loop Supply Chain Network : A Unified Single Phase Approach, Satish Nukala, Surendra M. Gupta

Surendra M. Gupta

No abstract provided.

Efficient Design And Effective Marketing Of A Reverse Supply Chain : A Fuzzy Logic Approach, Kishore K. Pochampally, Surendra M. Gupta

Surendra M. Gupta

A two-phase mathematical programming approach to efficiently design a reverse supply chain is proposed, as follows: in phase I, a fuzzy cost-benefit function is formulated to perform a multi-criteria economic analysis for selecting the most economical product to re-process, from a set of candidate used products; in phase II, an integer goal programming model that not only identifies potential recovery facilities but also leads to transportation of the right mix and quantities of products (used as well as re-processed) across the supply chain, is formulated. Since the success of a reverse supply chain depends on its marketing strategy as well …

Disassembly Petri Net Generation In The Presence Of Xor Precedence Relationships, K. E. Moore, Askiner Gungor, Surendra M. Gupta

Surendra M. Gupta

A disassembly process plan (DPP) is a sequence of disassembly tasks which begins with a product to be disassembled and terminates in a state where all the parts of interest are disconnected. Disassembly process planning is critical for minimizing the resources invested in disassembly and maximizing the level of automation of the disassembly process and the quality of the parts (or materials) recovered. In this paper, we propose an algorithm which automatically generates a disassembly PN (DPN) from a geometrically-based disassembly precedence matrix (DPM). This algorithm can be used to generate DPPs for products which contain simple AND, OR, complex …

Disassembly-To-Order System Using Linear Physical Programming, Elif Kongar, Surendra M. Gupta

Surendra M. Gupta

One of the most responsible ways of processing end-of-life (EOL) products is to minimize their disposal to landfills by reusing, remanufacturing and/or recycling them. Often, this necessitates a certain level of disassembly. It is therefore necessary to plan disassembly processing efficiently so as to minimize costs and the amount of disposal as well as to maximize reuse, remanufacturing and recycling. In this paper, we present a disassembly-to-order system to determine the number of EOL products to process to fulfill a certain demand for products, parts and/or materials under a variety of objectives and constraints using a newly developed decision tool, …