Dissertations / Theses on the topic 'Mining equipment and technology services'

This research seeks a better and more detailed understanding of the processes of implementing design-led innovation in the mining equipment technology services (METS) sector, in a context where the traditional approach to manufacturing is being challenged. This longitudinal research specifically investigated the barriers to design-led innovation and opportunities that developed throughout this research, to understand how the organisation and culture of a METS company evolved, in order to progress towards design-led change. The significance of these findings is shown in the combined implementation of design imperatives leading towards design-led change at all business levels of an organisational structure.

This thesis work is based on the literature studies and a detail evaluation of Service Node application in order to investigate how an IoT network can be setup to achieve automation with service andmaintenance of smart building environment. A building in the context of this thesis work is a multistoried residential or commercial facilities having equipments and machineries such as elevator, ventilation, and equipment for managing powers and energy consumption etc. The literatures for this study are carefully chosen in order to find the components that would form the IoT network that is suitable in the context of smart building environment. The result from the studies are then compared with the evaluation made on an application called Service Node and an improvement to its present architecture is suggested. There was no re-inventing the wheel rather anarchitecture was proposed using the existing technologies and protocols to address the issues with services and maintenances of the equipment commonly found in a building which are prone to faults and requires periodical maintenance.

Thesis (M.S.)--Kutztown University of Pennsylvania, 1994.
Source: Masters Abstracts International, Volume: 45-06, page: 2708. Abstract precedes thesis as 2 preliminary leaves. Typescript. Includes bibliographical references (leaf 70).

Este trabalho tem o objetivo de discutir conceitos, desafios e perspectivas relacionados à aplicação de tecnologias de automação e informação em minas subterrâneas. Exemplos de aplicação contextualizam técnicas e tecnologias atuais de lavra, suas tendências de evolução para o futuro e a interação com aspectos humanos, operacionais e gerenciais. Dados coletados, referentes a indicadores de produtividade e confiabilidade, são utilizados para um estudo sobre a utilização de um jumbo de perfuração computadorizado nas operações de desenvolvimento e produção de uma mina subterrânea no Brasil. Uma série de desafios devem ser considerados para que sistemas computadorizados embarcados em conjunto com infraestrutura de tecnologia da informação se tornem parte da estratégia operacional. Gestores devem efetivamente adaptar as organizações a novos padrões de segurança, eficiência operacional e gestão integrada da informação. A padronização de interfaces deve ser aceita como premissa básica para a integração de processos.
This study aims to discuss the concepts, challenges and perspectives related to automation and information technologies application in underground mines. Application examples contextualize current mining techniques and technology, future evolution and the interaction with human, operational and management aspects. Productivity and reliability data collected are used to study the utilization of a computerized drilling jumbo for development and production operations in an underground mine in Brazil. A series of challenges must be considered for onboard electronic systems combined with information technology infrastructure become part of the operational strategy. Leaders must effectively manage to adapt organizations to new standards. It is evident the value-added operation with all the benefits related to safety, operational efficiency and integrated information management. Interface standardization must be accepted as a basic premise for process integration.

Thesis (M. Tech. (Public Management)) -- Central University of Technology, free State, [2014]
The primary aim of the proposed study is to investigate the technical problems affecting the efficiency and effectiveness of District Hospitals in the Free State Province. The proposed research therefore stands to contribute to the existing body of evidence on the efficiency and effectiveness of health care services, with regard to the existing problems in the health sector such as high staff turnover, facilities with lack of appropriate equipment, unmanageable workload, lack of appropriate infrastructure, a high absenteeism rate and low morale of the employees in the public health institutions. Therefore the study will identify potential shortcomings that are compromising the efficiency and effectiveness of the district hospitals. The findings of the study will be used to address some of the identified problems and also to describe how progress can be measured. The outcomes of this study are intended to raise important issues and to assist management of the Free State Department of Health to address the challenges that are affecting the functioning of the district hospitals. The findings will also assist the relevant managers in planning and implementation of policies that will address inequalities and problems as highlighted in the study. It will also create opportunities for shared responsibilities that management and the staff need to resolve jointly.

Thesis (M.S.)--University of New Orleans, 2003.
Title from electronic submission form. "A thesis ... in partial fulfillment of the requirements for the degree of Master of Science in Engineering Management"--Thesis t.p. Vita. Includes bibliographical references.

Sepsis is the leading cause of death among critically ill patients and the 10th most common cause of death overall in the United States. The mortality rates increase with severity of the disease, ranging from 15% for sepsis to 60% for septic shock. Patient with sepsis can present varied clinical symptoms depending on the personal predisposition, causal microorganism, organ system involved, and disease severity. To facilitate sepsis diagnosis, the first sepsis consensus definitions was published in 1991 and then updated in 2001. Early recognition of a sepsis patient followed with timely and appropriate treatment and management strategies have been shown to significantly reduce sepsis-related mortality, and allows care to be provided at lower costs. Despite the rapid progress in the knowledge of pathophysiological mechanisms of sepsis and its treatment in the last two decades, identifying patient with sepsis and therapeutic approaches to sepsis and its complications remains challenging to critical care clinicians. Hence, the objectives of this thesis were to 1) evaluate the test characteristics of the two sepsis consensus definitions and delineate the differences in patient profile among patients meeting or not meeting sepsis definitions; 2) determine the relationship between the changes in several physiological parameters before sepsis onset and sepsis, and to determine whether these parameters could be used to identify sepsis in critically ill adults; 3) evaluate the effect of corticosteroids therapy on patient mortality. Data used in this thesis were prospectively collected from an electronic medical record system for all the adult patients admitted into the seven critical care units (ICUs) in a tertiary medical center. Besides analyzing data at the ICU stay level, we investigated patient information in various time frames, including 24-hour, 12-hour, and 6-hour time windows. In the first study of this thesis, the 1991 sepsis definition was found to have a high sensitivity of 94.6%, but a low specificity of 61.0%. The 2001 sepsis definition had a slightly increased sensitivity but a decreased specificity, which was 96.9% and 58.3%, respectively. The areas under the ROC curve for the two consensus definitions were similar, but less than optimal. The sensitivity and area under the ROC curve of both definitions were lower at the 24-hour time window level than those of the unit stay level, though the specificity increased slightly. At the time window level, the 1991 definitions performed slightly better than the 2001 definition. In the second study, minimum systolic blood pressure performed the best, followed by maximum respiratory rate in discriminating sepsis patients from SIRS patients. Maximum heart rate and maximum respiratory rate can differentiate sepsis patients from non-SIRS patients fairly well. The area under ROC of the combination of five physiological parameters was 0.74 and 0.90 for comparing sepsis to non-infectious SIRS patients and comparing sepsis to non-SIRS patients, respectively. Parameters typically performed better in 24-hour windows compared to 6-hour or 12-hour windows. In the third study, significantly increased hospital mortality and ICU mortality were observed in the group treated with low-dose corticosteroids than the control group based on the propensity score matched comparisons, and multivariate logistic regression analyses after adjustment for propensity score alone, covariates, or propensity score (in deciles) and covariates. This thesis advances the existing knowledge by systemically evaluating the test characteristics for the 1991 and 2001 sepsis consensus definitions, delineating physiological signs and symptoms of deterioration in the preceding 24 hours prior to sepsis onset, assessing the prediction performances of single or combined physiological parameters, and examining the use of corticosteroids treatment and survival among septic shock patients. In addition, this thesis sets an innovative example on how to use data from electronic medical records as these surveillance systems are becoming increasingly popular. The results of these studies suggest that a more parsimonious set of definitional criteria for sepsis diagnosis are needed to improve sepsis case identification. In addition, continuously monitored physiological parameters could help to identify patients who show signs of deterioration prior to developing sepsis. Last but not least, caution should be used when considering a recommendation on the use of low dose corticosteroids in clinical practice guidelines for the management of sepsis.

This thesis examines the adaptation processes among mining equipment and technology services (METS) firms’ in the South Australian resource sector from 2014 till 2016 during a global downturn in resource commodity prices. Of special interest was the effect on the METS firms of the structure and governance of the resource industry regional supply network in terms of their ability to adapt to the downturn and the implications for regional resilience. The research was driven by the common problem faced by METS suppliers operating in resource extractive economies of how to prosper in spite of fluctuating mineral commodity prices. Downturns in commodity prices usually result in significant job losses, reduction in GDP growth and economic decline. It requires resilience at the firm and regional level to not only cope and recover from external shocks, but also to create new technological paths. Previous research into the regional development of resource-extractive regions has proved that the development of technology and knowledge intensive, value-adding industries around resource extractive activity enhances the resilience of resource economies. A diverse and technology intensive METS sector emerging naturally in proximity to resource extraction sites is potentially able to use its accumulated knowledge and capabilities to overcome the consequences of a decline. In the right environment, METS firms can develop high value-added products and services that can have other industrial applications and find new niches in domestic and overseas markets. The ability of local METS companies to diversify and innovate results in the lateral transfer of technologies developed initially to serve the resource sector, encouraging regional economic diversification and the development of alternative growth paths during a decline in the resource sector. Supply chain relationships are critical to the strategic diversification and innovation of regional METS experiencing resource constraints. Their ability to innovate and diversify depends not only on their own internal research and development efforts, but mostly on their collaboration with customers and supply chain partners around customer problems and solutions. Since there are multiple shared suppliers and clients, a regional supply network serves as a conduit for information and knowledge transfer. Our knowledge of the impact of the structure and governance in a regional supply network and firm diversification and innovativeness is still limited, however. There is a lack of conceptual explanation specific to how network governance in a regional supply network influences METS firms’ ability to respond during those periods when the whole network is experiencing constrained resources. To address this problem in the current research, a multilevel conceptual framework was developed, and a mixed-method research design adopted. The findings demonstrated that formal and informal instruments of regional supply network governance impact firms’ strategies and facilitates both short- term adaptation and the long-term adaptability of regional METS. The research contributes to the economic resilience literature by providing empirical evidence of the role of regional supply network structure and governance as factors influencing regional firms’ strategies at the micro-level. In turn, the strategies and behaviour of regional METS firms at the micro level impact adaptability and regional resilience at the meso-level. Therefore, a coordinated effort by governing bodies through policies and resource allocation is required to ensure the formation of well-connected, integrated regional supply networks that can foster long term adaptability and resilience in resource extractive regions.
Thesis (Ph.D.) -- University of Adelaide, Entrepreneurship, Commercialisation & Innovation Centre, 2018

碩士
輔仁大學
應用統計學研究所
96
Yield improvement is a critical for TFT-LCD manufacturing factory to remain competitive in the market. In order to keep high yield, a quick response diagnostic tool to find root cause about a quality accident is more important in today’s manufacturing fab. The focus of this research is on the development of a quality diagnostic tool using statistics and data mining method. K-W Test, Box-Plot, and Decision Tree will be applied to build a diagnostic tool base to find the root causes of defective products. The integration engineers will trace root cause using the diagnostic tool and reference past experience or related process, product knowledge and then keep them into knowledge base in the corporation Data from a specific TFT-LCD manufacturer demonstrate that the proposed approach is a useful tool in tracking root cause for defective panels.

碩士
美和科技大學
企業管理系經營管理碩士班
107
With the purpose of measuring satisfaction level and analyzing factors affecting the satisfaction of customers when using products of Mining Technology and Equipment Development Joint Stock Company in Hanoi City, through using statistics over the past two years and the quantitative model of SPSS 20 to accurately define the influence level of factors on customer satisfaction on the mine equipment company, after the course of quantitative for modeling, scaling and verifying, the study model provides 5 impact factors ranked by the level of gradually-decreased influence of: Product design; Price; Reliability; Capacity to meet and finally Quality of products. Through the survey of customers using products of the company, the author found that: different customer groups in terms of age, gender will have different Satisfaction level of the company’s products. After analysing the factors affecting customer satisfaction by the influence degree from high to low: Product Design, price, reliability, ability to meet customer demand and product quality. After the investigation, the research has offered effective and practical solutions for improving customer satisfaction, which are improving product design, price, reliability enhancement, group of management and technical, improving capacity to meet customer demand, improving product quality and some others.

碩士
南華大學
資訊管理學系
106
Various increasing costs in the textile industry, which is a type of traditional manufacturing industry, have resulted in the relocation of some Taiwanese factories to countries with lower wage costs. Internal factors such as yearly depreciation of aging factory machinery, frequent machine failures, and a decrease in equipment reliability have heavily impaired production efficiency and resulted in increased operating costs. Because information technology rapidly presents new developments, valuable knowledge regarding rapid data collection methods, uncovering potentially useful data, and extracting useful information has formed the field of data mining. The goals of data mining on textile production data are to find the correlations of machine failures, reduce the frequency of such failures, and enhance production efficiency. 　　This paper is a case study that examines a firm’s equipment failure records, and applies data mining technology in the form of the Apriori algorithm to analyze equipment failure attributes and identify highly significant rules. This study provides suggestions for improvement to minimize the frequency of machine failures.

碩士
國立交通大學
運輸與物流管理學系
105
As technological advancements surge in recent years, the concept of Internet of Things has emerged in the society in the past decade. Internet of Things’ (IoT) related technologies and services have become more familiar to people, thus analysis and future forecasting on IoT is vital and beneficial to guide both scholars and practitioners. Many IoT technologies have been applied in the logistics industry in recent years and they performed substantial impact in many sectors such as shipping, air freight, warehousing and inventory etc. Exploring technology opportunities and carrying out technological forecasting is essential for IoT‘s rapid changes and there are manifold of techniques or methods to do so. Herein, data and text mining techniques, technology opportunity analysis and technology-service evolution analysis have been applied for analysis and observing IoT technologies and services evolutions. Academic journals, market reports and patents have been reviewed on the topic of IoT in logistics field; collecting academic-based and market-based documents supports the provision of a comprehensive overview of this study. Moreover, technology opportunities have been analyzed to explore IoT-based logistics services, for example with the use of cloud technology to develop smart logistics services, or with the RFID technology to develop information logistics services. Lastly, it enables the observation of IoT technology and service evolutions by combining initial structured data with unstructured and semi-structured data from all documents. In summary, results of this study will provide methodological guidelines on this topic for a comprehensive understanding; aiming to increase productivity as a whole and coming up with a standardized business model for timely use.

Indiana University-Purdue University Indianapolis (IUPUI)
Recent technological applications have made the life of people too much dependent on Science, Technology, Engineering, and Mathematics (STEM) and its applications. Understanding basic level science is a must in order to use and contribute to this technological revolution. Science education in middle and high school levels however depends heavily on visual representations such as models, diagrams, figures, animations and presentations etc. This leaves visually impaired students with very few options to learn science and secure a career in STEM related areas. Recent experiments have shown that small aural clues called Audemes are helpful in understanding and memorization of science concepts among visually impaired students. Audemes are non-verbal sound translations of a science concept. In order to facilitate science concepts as Audemes, for visually impaired students, this thesis presents an automatic system for audeme generation from STEM textbooks. This thesis describes the systematic application of multiple Natural Language Processing tools and techniques, such as dependency parser, POS tagger, Information Retrieval algorithm, Semantic mapping of aural words, machine learning etc., to transform the science concept into a combination of atomic-sounds, thus forming an audeme. We present a rule based classification method for all STEM related concepts. This work also presents a novel way of mapping and extracting most related sounds for the words being used in textbook. Additionally, machine learning methods are used in the system to guarantee the customization of output according to a user's perception. The system being presented is robust, scalable, fully automatic and dynamically adaptable for audeme generation.

碩士
國立中正大學
企業管理所
93
This research is based on Andersen’s Health Services Utilization Model (1995) and Ajzen’s Theory of Planned Behavior (1989), and mainly probe into the relationship of the elders’ health knowledge、attitude and behavior which are mutual influence. We also discuss the relationship between the Elders’ Health Knowledge、 Attitudes、Behaviors and the Health Services Utilization in Taiwan. The data of this research comes from the secondary data which were taken from a national survey study in Taiwan that was done in 2002.A systematic sampling procedure was applied and 2464 valid sample were collected. This research uses T test、One-way ANOVA、Logistic regression and Multiple regression analysis. We find that the difference between the medical utilization and the sex、age、education degree、job and inhabit. We also find that the personal health attitude and cognition apparently influence on healthy behavior, and healthy behavior apparently affects medical resource. Based on the results, we suggest that the special health-jeopardizing operations should focus on the special groups to reduce the waste of unnecessary resources and prove the health consciousness and health education