Engineering Commons^™

Determining The Effectiveness Of The Health-Edrm Framework And Twitter Data Analysis As The Near Real-Time Source Of Information During The Covid-19 Situation, Kumpol Saengtabtim

Chulalongkorn University Theses and Dissertations (Chula ETD)

Coronavirus pandemic or COVID-19 pandemic is considered to be one of the most severe disasters that affect both lives and economics to all the countries around the world. Health Emergency and Disaster Risk Management Framework or HEALTH-EDRM framework is the disaster management framework established in late 2019. One objective of this framework is to reduce the impact of the disaster that affects the lives of the people. Risk communication which is considered as the main function of this framework is also the main key for reducing the amount of affecting people. In this research, the analysis of the effectiveness of …

Manufacturing Cost Reduction In A Filling Process Of Aerosol Products, Nattagun Charoenbunsupkarn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research focuses on the development of heuristics that help reduce the production cost of an aerosol filling process of a case study company, while satisfying all related constraints, including production capacity and due dates. The proposed heuristics are a two-phase one, where the initial solutions are first constructed based on simple dispatching rules, and, once completed, such solution is then iteratively improved by two different improvement heuristics, namely 2OPT and Node Shift. A tabu list is also embedded within such a framework to help reduce its computational time. We have assessed the performances of these heuristics based on 6 …

Sop Development For Erp/Software Project Management Of A Consulting Company, Piyanat Viengcome

Chulalongkorn University Theses and Dissertations (Chula ETD)

Presently, ERP/software consulting company has experienced in information gathering process from users in customer company which lead to insufficient to-be process development and vendor selection process. The unexpected results would be extra budget and high manual workload in organization. The possible root cause is uncleared procedure to proceed the project management in ERP/software implementation. The objective of this research is to develop the standard operating procedure for ERP/software project management of a consulting company concentrated in manufacturing industry in Thailand. The methodology starts with studying of competitors' approach from their websites. The ERP expert interview is the next step, 3 …

Key Success Factors Of Area Business Continuity Management Based On Stakeholders' Perspective Using Ahp Method: A Case Study Of An Automotive Component Company In Ayutthaya Province, Thailand, Sansanee Sapapthai

Chulalongkorn University Theses and Dissertations (Chula ETD)

The 2011 Thailand floods caused extensive damages widely areas. Especially in the manufacturing sector, it is not the only individual company but also the supply chain disruption. Area Business Continuity Management (Area-BCM) is a valuable system that helps businesses successfully reduce flood damage. To achieve the project's ultimate goal, a significant factor that impacts Area-BCM activities is essential. Delphi method with 10 Business Continuity Management (BCM) experts was employed to identify potential success factors. Further, Analytic Hierarchy Process (AHP) was applied to examine the relative weight of importance in a total of 20 factors that can be separated into 4 …

Engine Oil Change Lead Time Reduction Of Commercial Vehicle Service Center In Thailand, Sufee Datoh

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the high competition, the service time is one of many important factors that some customers are likely to concern. This thesis would like to investigate the root causes of the unnecessary activities in a selected authorised service centre which can be improved overall service lead time especially engine oil changing service and light commercial vehicles only (Pick-up and SUV) and to be a prototype improvement plan to suggest other authorised service centres in Thailand in the future. The procedure of engine oil change service can be grouped into 3 phases including the pre-checking, maintenance and post-checking phase. The idea …

A Comparison Of Forecasting Methods For Rotable Spare Parts In A Thai Low-Cost Airline, Supannika Thummathid

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research intents to compare and evaluate 3 different methods for forecasting irregular demand of aircraft spare parts by focusing on Rotable part group of Company A which is the leading low-cost airline in Thailand and operate by Airbus A320 model. Based on the demand classification, it is observed that most of the spare part demands presented an intermittent demand pattern. The forecasting methods Croston's, Holt's Linear and Multi-Layer Perceptron trained with Backpropagation of Neural Network Model are applied on the historical data of 36 Rotable spare parts by dividing into 2 sets which are initialization set period 60 months …

Proactive Customer Service Operations Development For An Automotive Tyre Service Centre, Suttida Wittayapichet

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this research is to create new customer service model in fleet management for Company A which is the automotive tyre service centre due to change the company administration to be proactive management by developing relationship with customers. Also, the research focuses on customers in private companies, which are fleets of large vehicles, in order to maximize customer loyalty with the main customer group of company. Therefore, the design of this research used Business Model Canvas (BMC) to be the structure of the research and adapting Vendor Managed Inventory (VMI) concept to develop in the form of Vendor …

Performance Study Of Five Different Cabin Air Filters In The Laboratory And On-Road Drive, Fahad Alqahtani

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the aims of installing ventilation filters in a car is to prevent vehicle occupants from inhaling potentially harmful aerosols emanating from the environment. Vehicle cabin filters are essential in ensuring that a vehicle's air conditioning system provides clean air to its occupants. The purpose of the cabin filter is to improve air quality inside the car to provide better comfort and better protect occupants from experiencing unwanted respiratory problems. Using cabin filters in air conditioning systems is a common practice in modern vehicle manufacturing. Scientists and engineers are continually seeking new ways of improving the efficiency and effectiveness …

A Study Of Impact Protection Of Metacarpal Gloves, Faisal Mohammed Alessa

Graduate Theses, Dissertations, and Problem Reports (ETD)

Work-related wrist, hand, and finger injuries are highly prevalent in manufacturing and extractive industries. An analysis of mining-related hand injury data from over the past two decades (Alessa et al., 2020) showed that hand injuries caused by insufficient protection against impact loads (e.g. struck by accidents) were categorized with high severity. Existing literature lacks clear classification and quantification methods for the protection provided by impact-resistant gloves (i.e. metacarpal gloves). A new method to establish a quantitative measure of performance for commonly used metacarpal gloves was developed and evaluated.

In the first specific aim, an experimental study using cadaveric hand specimens …

Sustainability-Based Expert System For Additive Manufacturing And Cnc Machining, Josage Chathura Pamuditha Perera

Graduate Theses, Dissertations, and Problem Reports (ETD)

The development of technologies which enable resource efficient production is of paramount importance for the continued advancement of the manufacturing industry. In order to ensure a sustainable and clean energy future, manufacturers should be able to contrast and validate existing manufacturing technologies on a sustainability basis. In the post COVID-19 era of enterprise management, the use of artificial intelligence to simulate human expert decision making abilities will open new doors to achieving heightened levels of productivity and efficiency. The introduction of innovative technologies such as CNC machining and 3D printing to production systems has redefined the manufacturing landscape in a …

Evaluation Of Control Strategies For Overhead Work Using Electromyography Of Rotator Cuff Muscles, Hossein Motabar

Graduate Theses, Dissertations, and Problem Reports (ETD)

Work-related musculoskeletal disorders (MSDs) of shoulder have a significant impact on overall health and economics in the industrialized nations. Rotator cuff is the most frequently injured region in the shoulder complex. Overhead work is considered as one of the most predominant causes of rotator cuff injuries. The workers in construction, automotive, and aerospace industries are routinely exposed to overhead exertions. Elimination of overhead work is nearly impossible due to various task and technology constraints. Therefore, appropriate intervention strategies based on the engineering and administrative controls opt to be used to prevent the hazardous impact of overhead exertions. The objective of …

Energy Forensics Analysis, Rupa Das

Graduate Theses, Dissertations, and Problem Reports (ETD)

The energy consumed by a building can reveal information about the occupants and their activities inside the building. This could be utilized by industries and law enforcement agencies for commercial or legal purposes. Utility data from Smart Meter (SM) readings can reveal detailed information that could be mapped to foretell resident occupancy and type of appliance usage over desired time intervals. However, obtaining SM data in the United States is laborious and subjected to legal and procedural constraints. This research develops a user-driven simulation tool with realistic data options and assumptions of potential human behavior to determine energy usage patterns …

Effect Of Particle Concentration, Sealing Condition And Breathing Rate On Total Inward Leakage For N95 Filtering Facepiece Respirators, Taoreed T. Lawal

Graduate Theses, Dissertations, and Problem Reports (ETD)

Several researchers have considered the relationship between total inward leakage (TIL) and other parameters such as sealing condition, particle concentration, type of particulate material breathing parameters, etc., however, there is dearth of information on the effects of varying particle concentration on the penetration efficiency of filtering facepiece respirators (FFRs), hence, this study aims to study the effect of varying NaCl particle concentration, sealing condition and breathing rate on the TIL as a result of the filtering efficiency of the filters.

To achieve this, we followed the sampling procedure used by He et al., 2014. Four different sealing conditions (SCs) namely; …

Evaluation Of Fitts’ Throughput As A Possible Performance Measure For Manual Assembly Tasks, Pradyumna Bettagere Jagadish

Graduate Theses, Dissertations, and Problem Reports (ETD)

Assembly lines are the backbone of the manufacturing sector. Workers at the assembly lines are expected to perform fast pace hand-arm exertions with precision and accuracy. To protect the workers from injuries, OSHA mandates the use of personal protective equipment (PPE) including gloves. Certain assembly operations require the use of special gloves. Some of these gloves can inhibit hand performance, further increasing the task difficulty. The Index of Difficulty (ID) is a metric measured in ‘bits’ quantifies task difficulty through the quotient of target width and target motion, i.e., distance travelled. The time required to complete the target motion is …

Evaluation Of Object Attributes To Study Speed-Accuracy Trade-Off Of Gloves Using Iso 9241-411 Standard, Isha Gaut

Graduate Theses, Dissertations, and Problem Reports (ETD)

Selection of appropriate gloves plays an important role in the overall comfort and productivity of workers. Currently, there are no standards and/or guidelines available to systematically evaluate the glove performance based on speed-accuracy trade-off. The ISO 9241-411 standard which is based on Fitts’ Law has been extensively used in the literature to measure speed-accuracy trade-off in terms of throughput in the virtual environments. This study was aimed at developing guidelines for implementing ISO 9241-411 standard in the physical environment so that it can be used to estimate (and compare) throughputs of safety gloves. Specifically, the various physical attributes of objects …

Comparison Of Condensation Nuclei Counter And Controlled Negative Pressure Methods Under Different Environmental Conditions Tested With A Mannequin And Human Subjects, Olanrewaju John Fadairo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Continuing concern about exposure to respiratory hazards at various workplaces and prevalent pandemics such as H1N1/09 influenza and COVID-19, have necessitated a need for more research regarding respirators. Quantitative fit testing (QNFT) is a critical component of an OSHA compliant respiratory protection program. QNFTs are often performed in environments where temperature and relative humidity (RH) vary. However, no study has investigated the possible effects of these parameters on penetration and QNFT results.

This comparative study utilized condensation nuclei counter (CNC) and controlled negative pressure (CNP) methods to quantitatively determine simulated mannequin fit factors (SMFFs) and human fit factor (HFFs) using …

Implications Of Variability Of Electromyographic Measurements For Assessing Localized Muscle Fatigue, Hamad Nasser Alasim

Graduate Theses, Dissertations, and Problem Reports (ETD)

The impact of work-related musculoskeletal disorders (WMSDs) is enormous due to a combination of direct and indirect costs associated with healthcare, lost workdays and human suffering. Because of the established relationship between Localized Muscle Fatigue (LMF) development and WMSDs, and in order to reduce and/or prevent WMSDs in workplaces, different fatigue assessment methods have been developed. Surface Electromyography (SEMG) is a commonly used LMF assessment technique. The SEMG signals are typically analyzed in time and frequency domains to predict LMF based on a relative change with respect to initial, or under no-fatigue conditions. Quantifying such change, however, relies on the …

Assess The Performance Against Ets And Pm1 And Evaluate The Users’ Experiences Of Comfort Of Nasal Filters, Ibrahim Almuhaidib

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many cities around the world experience severe air pollution. According to the World Health Organization (WHO), 7 million people die annually from exposure to small airborne Particulate Matter (PM) that is found in atmospheric pollution. Particulate matter in atmospheric pollution is one of six classifications of common air pollutants and is typically referred to as PM₁ and PM_2.5. Particulates designated as PM₁ and PM_2.5 refer to particles having aerodynamic diameters of 1 or 2.5 micrometer (µm), respectively. These size ranges of particles are the most commonly found in air pollution. It is hard to differentiate …

Capital Equipment Upgrade Strategy In The Context Of Servitization, Muztoba Ahmad Khan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Building on manufacturing servitization and Product-Service Systems (PSS) business models, the midlife equipment upgrade services introduce promising alternative to traditional equipment replacement, which is often capital intensive and time consuming. Midlife upgrade describes the process of improving the performance of and adding new functional capabilities into equipment during their active usage period by embedding technological innovation while satisfying evolving customers’ preferences over time. This strategy, however, has thus far been discussed primarily from a conceptual perspective in literature, and the state of the art lacks empirical evidence regarding the potential and outcome of successful midlife upgrades. Additionally, explorative studies report …

Metaheuristics For The Generalized Quadratic Assignment Problem, Roseline Mostafa

Graduate Theses, Dissertations, and Problem Reports (ETD)

The generalized quadratic assignment problem (GQAP) is the task of assigning a set of facilities to a set of locations such that the sum of the assignment and transportation costs is minimized. The facilities may have different space requirements, and the locations may have varying space capacities. Also, multiple facilities may be assigned to each location such that space capacity is not exceeded. In this research, an application of the GQAP is presented for assigning a set of machines to a set of locations on the plant floor. Two meta-heuristics are proposed for solving the GQAP: tabu search (TS) and …

Analysis Of Factors Influencing The Stationarity Of Surface Electromyography Signals Measured In Non-Fatigued Shoulder Muscles, Hui Ci

Graduate Theses, Dissertations, and Problem Reports (ETD)

A reduction in the % stationarity of surface electromyography (SEMG) signals with respect to the initial or fresh condition is used to predict localized muscle fatigue. However, factors other than muscle fatigue can also influence the stationarity of SEMG signals. This study was aimed at analyzing the effect of various work/task related factors on the stationarity of SEMG signals obtained from non-fatigued shoulder muscles. Twelve participants were recruited for data collection and each one performed 120 trials characterized by the combination of 2 shoulder angles (60° and 120°), 2 planes of exertions (sagittal and scapular), 3 force levels (0lb, 2.5lb, …

Computational Model For Neural Architecture Search, Ram Deepak Gottapu

Doctoral Dissertations

"A long-standing goal in Deep Learning (DL) research is to design efficient architectures for a given dataset that are both accurate and computationally inexpensive. At present, designing deep learning architectures for a real-world application requires both human expertise and considerable effort as they are either handcrafted by careful experimentation or modified from a handful of existing models. This method is inefficient as the process of architecture design is highly time-consuming and computationally expensive.

The research presents an approach to automate the process of deep learning architecture design through a modeling procedure. In particular, it first introduces a framework that treats …

Development Of A System Architecture For The Prediction Of Student Success Using Machine Learning Techniques, Tatiana A. Cardona

Doctoral Dissertations

“ The goals of higher education have evolved through time based on the impact that technology development and industry have on productivity. Nowadays, jobs demand increased technical skills, and the supply of prepared personnel to assume those jobs is insufficient. The system of higher education needs to evaluate their practices to realize the potential of cultivating an educated and technically skilled workforce. Currently, completion rates at universities are too low to accomplish the aim of closing the workforce gap. Recent reports indicate that 40 percent of freshman at four-year public colleges will not graduate, and rates of completion are even …

An Approach To System Of Systems Resiliency Using Architecture And Agent-Based Behavioral Modeling, Paulette Bootz Acheson

Doctoral Dissertations

”In today’s world it is no longer a question of whether a system will be compromised but when the system will be compromised. Consider the recent compromise of the Democratic National Committee (DNC) and Hillary Clinton emails as well as the multiple Yahoo breaches and the break into the Target customer database. The list of exploited vulnerabilities and successful cyber-attacks goes on and on. Because of the amount and frequency of the cyber-attacks, resiliency has taken on a whole new meaning. There is a new perspective within defense to consider resiliency in terms of Mission Success.

This research develops a …

Enabling Flexibility Through Strategic Management Of Complex Engineering Systems, Walter Louis Barnes Ii

Doctoral Dissertations

”Flexibility is a highly desired attribute of many systems operating in changing or uncertain conditions. It is a common theme in complex systems to identify where flexibility is generated within a system and how to model the processes needed to maintain and sustain flexibility. The key research question that is addressed is: how do we create a new definition of workforce flexibility within a human-technology-artificial intelligence environment?

Workforce flexibility is the management of organizational labor capacities and capabilities in operational environments using a broad and diffuse set of tools and approaches to mitigate system imbalances caused by uncertainties or changes. …

Development Of A Modeling Algorithm To Predict Lean Implementation Success, Richard Charles Barclay

Doctoral Dissertations

”Lean has become a common term and goal in organizations throughout the world. The approach of eliminating waste and continuous improvement may seem simple on the surface but can be more complex when it comes to implementation. Some firms implement lean with great success, getting complete organizational buy-in and realizing the efficiencies foundational to lean. Other organizations struggle to implement lean. Never able to get the buy-in or traction needed to really institute the sort of cultural change that is often needed to implement change. It would be beneficial to have a tool that organizations could use to assess their …

Critical Success Factors And Risk Mitigation Strategy For New Product Development, Rodney A. Ewing

Doctoral Dissertations

”Success in new product development (NPD) offers a competitive and comparative advantage in the marketplace. A primary objective in an NPD project is to launch world class products with minimal risk. To deliver the superior quality and performance customers require, a company must develop the right NPD structure and framework for seamless execution by the NPD project teams throughout the product lifecycle. Companies must understand how to identify and mitigate risk to enable the success of their NPD projects. The costs to develop new products are often a considerable portion of an organization’s budget; however, studies have shown only 60 …

Balancing Labor Requirements In A Manufacturing Environment, Patrick Bernard Dwyer

Doctoral Dissertations

“This research examines construction environments within manufacturing facilities, specifically semiconductor manufacturing facilities, and develops a new optimization method that is scalable for large construction projects with multiple execution modes and resource constraints. The model is developed to represent real-world conditions in which project activities do not have a fixed, prespecified duration but rather a total amount of work that is directly impacted by the level of resources assigned. To expand on the concept of resource driven project durations, this research aims to mimic manufacturing construction environments by allowing a non-continuous resource allocation to project tasks. This concept allows for resources …

Real-Time Assembly Operation Recognition With Fog Computing And Transfer Learning For Human-Centered Intelligent Manufacturing, Wenjin Tao, Md Al-Amin, Haodong Chen, Ming-Chuan Leu, Zhaozheng Yin, Ruwen Qin

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In a human-centered intelligent manufacturing system, every element is to assist the operator in achieving the optimal operational performance. The primary task of developing such a human-centered system is to accurately understand human behavior. In this paper, we propose a fog computing framework for assembly operation recognition, which brings computing power close to the data source in order to achieve real-time recognition. For data collection, the operator's activity is captured using visual cameras from different perspectives. For operation recognition, instead of directly building and training a deep learning model from scratch, which needs a huge amount of data, transfer learning …

The Effect Of Cutting Condition Selection On Tool Life In Sand Milling, Craig Ertl

Dissertations and Theses @ UNI

This study was completed to address the problem of determining what effect selected cutting conditions have on tool wear and tool life in robotic sand milling (RSM) operations. The purpose of this study was to analyze the tool wear mechanisms and characteristics that govern the RSM process. The purpose was also to establish an experimental methodology that may be used in future studies to assess tool life when examining various tooling materials and designs, as well as additional sand workpiece materials. Completing this research allowed the machining process to be optimized by analyzing differences in tooling cost with variable values …