Aplicação do multi-layer stream mapping para a gestão da eficiência de recursos e produtividade de um sistema de produção

Mestrado em Engenharia Mecânica – Especialização Gestão Industrial

SCADA House Intelligent Management for Energy Efficiency Analysis in Domestic Consumers

The implementation of smart homes allows the domestic consumer to be an active player in the context of the Smart Grid (SG). This paper presents an intelligent house management system that is being developed by the authors to manage, in real time, the power consumption, the micro generation system, the charge and discharge of the electric or plug-in hybrid vehicles, and the participation in Demand Response (DR) programs. The paper proposes a method for the energy efficiency analysis of a domestic consumer using the SCADA House Intelligent Management (SHIM) system. The main goal of the present paper is to demonstrate the economic benefits of the implemented method. The case study considers the consumption data of some real cases of Portuguese house consumption over 30 days of June of 2012, the Portuguese real energy price, the implementation of the power limits at different times of the day and the economic benefits analysis.

System Level Simulation and Radio Resource Management for Distributed Antenna Systems with Cognitive Radio and Multi-Cell Cooperation

4th International Conference on Future Generation Communication Technologies (FGCT 2015), Luton, United Kingdom.

Integration of crowdsourced information with traditional crises and disaster management information using linked data

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

Participatory mapping in the design process of a spatial data infrastructure SDI: a case study in the Biosphere Reserve Rio Platano (Honduras)

Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

TSKY: a dependable middleware solution for data privacy using public storage clouds

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

Integrated management systems as complex adaptive systems

It is a difficult task to avoid the “smart systems” topic when discussing smart prevention and, similarly, it is a difficult task to address smart systems without focusing their ability to learn. Following the same line of thought, in the current reality, it seems a Herculean task (or an irreparable omission) to approach the topic of certified occupational health and safety management systems (OHSMS) without discussing the integrated management systems (IMSs). The available data suggest that seldom are the OHSMS operating as the single management system (MS) in a company so, any statement concerning OHSMS should mainly be interpreted from an integrated perspective. A major distinction between generic systems can be drawn between those that learn, i.e., those systems that have “memory” and those that have not. These former systems are often depicted as adaptive since they take into account past events to deal with novel, similar and future events modifying their structure to enable success in its environment. Often, these systems, present a nonlinear behavior and a huge uncertainty related to the forecasting of some events. This paper seeks to portray, for the first time as we were able to find out, the IMSs as complex adaptive systems (CASs) by listing their properties and dissecting the features that enable them to evolve and self-organize in order to, holistically, fulfil the requirements from different stakeholders and thus thrive by assuring the successful sustainability of a company. Based on the revision of literature carried out, this is the first time that IMSs are pointed out as CASs which may develop fruitful synergies both for the MSs and for CASs communities. By performing a thorough revision of literature and based on some concepts embedded in the “DNA” of the subsystems implementation standards it is intended, specifically, to identify, determine and discuss the properties of a generic IMS that should be considered to classify it as a CAS.

The Data Mining applied for the prediction of highway roughness due to overloaded trucks

Currently, the quality of the Indonesian national road network is inadequate due to several constraints, including overcapacity and overloaded trucks. The high deterioration rate of the road infrastructure in developing countries along with major budgetary restrictions and high growth in traffic have led to an emerging need for improving the performance of the highway maintenance system. However, the high number of intervening factors and their complex effects require advanced tools to successfully solve this problem. The high learning capabilities of Data Mining (DM) are a powerful solution to this problem. In the past, these tools have been successfully applied to solve complex and multi-dimensional problems in various scientific fields. Therefore, it is expected that DM can be used to analyze the large amount of data regarding the pavement and traffic, identify the relationship between variables, and provide information regarding the prediction of the data. In this paper, we present a new approach to predict the International Roughness Index (IRI) of pavement based on DM techniques. DM was used to analyze the initial IRI data, including age, Equivalent Single Axle Load (ESAL), crack, potholes, rutting, and long cracks. This model was developed and verified using data from an Integrated Indonesia Road Management System (IIRMS) that was measured with the National Association of Australian State Road Authorities (NAASRA) roughness meter. The results of the proposed approach are compared with the IIRMS analytical model adapted to the IRI, and the advantages of the new approach are highlighted. We show that the novel data-driven model is able to learn (with high accuracy) the complex relationships between the IRI and the contributing factors of overloaded trucks

Implementation of the I.S. EN 16001:2009 energy management standard into GlaxoSmithKline (GSK) Ltd, Cork

As manufacturers face an increasingly competitive environment, they seek out opportunities to reduce production costs without negatively affecting the yield or the quality of their finished products. The challenge of maintaining high product quality while simultaneously reducing production costs can often be met through investments in energy efficient technologies and energy efficiency practices. Energy management systems can offer both technological and best practice efficiencies in order to achieve substantial savings. A strong energy management system provides a solid foundation for an organisation to reduce production costs and improve site efficiency. The I.S EN16001 energy management standard specifies the requirements for establishing, implementing, maintaining and improving an energy management system and represents the latest best practice for energy management in Ireland. The objective of the energy management system is to establish a systematic approach for improving energy performance continuously. The I.S EN16001 standard specifies the requirements for continuous improvement through using energy more efficiently. The author analysed how GlaxoSmithKline’s (GSK) pharmaceutical manufacturing facility in Cork implemented the I.S. EN16001 energy management system model, and defined how energy saving opportunities where identified and introduced to improve efficiency performance. The author performed an extensive literature research in order to determine the current status of the pharmaceutical industry in Ireland, the processes involved in pharmaceutical manufacturing, the energy users required for pharmaceutical manufacturing and the efficiency measures that can be applied to these energy users in order to reduce energy consumption. The author then analysed how energy management standards are introduced to industry and critically analysed the driving factors for energy management performance in Ireland through case studies. Following an investigation as to how the I.S. EN16001 energy management standard is operated in GSK, a critical analysis of the performance achieved by the GSK energy management system is undertaken in order to determine if implementing the I.S EN16001 standard accelerates achieving energy savings. Since its introduction, the I.S. EN16001 model for energy management has enabled GSK to monitor, target and identify energy efficiency opportunities throughout the site. The model has put in place an energy management system that is continuously reviewed for improvement and to date has reduced GSK’s site operations cost by over 30% through technical improvements and generating energy awareness for smarter energy consumption within the GSK Cork site. Investment in I.S. EN16001 has proved to be a sound business strategy for GSK especially in today's manufacturing environment.

Development of an integrated approach to reliability management and operation

The research described in this thesis has been developed as a part of the Reliability and Field Data Management for Multi-component Products (REFIDAM) Project. This project was founded under the Applied Research Grants Scheme administered by Enterprise Ireland. The project was a partnership between Galway-Mayo Institute of Technology and Thermo King Europe. The project aimed to develop a system in order to manage the information required for reliability assessment and improvement of multi-component products, by establishing information flows within the company and information exchange with fleet users.

Estudio, análisis y mejora de un sistema de gestión de expedientes

El proyecto consistió en el estudio, propuesta y realización de una serie de mejoras derivadas del análisis de un sistema de gestión de expedientes. El sistema analizado es SEDAS, un producto de gestión de los procesos de recobro de deudas desarrollado por Steria. Las mejoras se concentraron en la parametrización y mejora de diversos apartados tales como el modelo de datos, el sistema de generación de informes o la interfaz gráfica.

Lite4Life (Tier 2 adult weight management service)

This service Aims: To provide a multi-component weight management service that supports sustainable behaviour change and weight loss in adults 16 years and over with a BMI 28. To enable patients to develop the necessary personal attributes for their own long term weight management and to understand the impact of their weight on their health and co-morbidities. Objectives: To provide an evidence based, multi-component tier 2 weight management service that improves patients knowledge and skills for effective and sustainable weight loss helps patients identify their own facilitators for positive behaviour change and to address underlying barriers to long-term behaviour changeincreases patients self-efficacy and confidence in their ability to address their weight To be an integral part of the tiered approach to weight management services for the population of Stockton. To ensure equitable service provision across Stockton-on-Tees. To provide intensive group based service, one-to-one support and maintenance support. To support the service user to develop and review a personalised goal setting plan phase 2 and at discharge after phase 2. To ensure a smooth transition from the service (tier2) to tier 1 services to ensure continuity of care for service users.Recruit referrals using a variety of and appropriate methods. To establish a single point of contact for referrals into the service.Continually promote the service across a range of mediums and liaise and work in partnership with key interdependencies (refer to 2.4) To establish a robust database and data collection system in line with information governance. To ensure the access criteria, care pathway and referral process is clearly understood by all health care professionals and those who may refer into the service. To establish close links with, and signpost and/or enable service users to access suitable services where patient needs indicate this. This may include access to Tees Time to Talk (IAPT) for psychological therapies; Specialist Weight Management Service; physical activity programmes; Tier 1 services; and primary care. To provide the necessary venues, equipment and assets needed to deliver the programme, ensuring due regard is given to the quality and safety of all materials used. To collect and provide data in quarterly reports to the Commissioner to allow for continued monitoring and evaluation of the service in line with the Standard Evaluation Framework (available at www.noo.org.uk/core/SEF) and as specified by the Commissioner.

Systematic Identification of High Crash Locations Final Report, 2001

Federal and state policy makers increasingly emphasize the need to reduce highway crash rates. This emphasis is demonstrated in Iowa’s recently released draft Iowa Strategic Highway Safety Plan and by the U.S. Department of Transportation’s placement of “improved transportation safety” at the top of its list of strategic goals. Thus, finding improved methods to enhance highway safety has become a top priority at highway agencies. The objective of this project is to develop tools and procedures by which Iowa engineers can identify potentially hazardous roadway locations and designs, and to demonstrate the utility of these tools by developing candidate lists of high crash locations in the State. An initial task, building an integrated database to facilitate the tools and procedures, is an important product, in and of itself. Accordingly, the Iowa Department of Transportation (Iowa DOT) Geographic Information Management System (GIMS) and Geographic Information System Accident Analysis and Location System (GIS-ALAS) databases were integrated with available digital imagery. (The GIMS database contains roadway characteristics, e.g., lane width, surface and shoulder type, and traffic volume, for all public roadways. GIS-ALAS records include data, e.g., vehicles, drivers, roadway conditions, and the crash severity, for crashes occurring on public roadways during then past 10 years.)

Web-based Implementation of Winter Maintenance Decision Support System Using GIS and Remote Sensing, May 2005

Winter maintenance, particularly snow removal and the stress of snow removal materials on public structures, is an enormous budgetary burden on municipalities and nongovernmental maintenance organizations in cold climates. Lately, geospatial technologies such as remote sensing, geographic information systems (GIS), and decision support tools are roviding a valuable tool for planning snow removal operations. A few researchers recently used geospatial technologies to develop winter maintenance tools. However, most of these winter maintenance tools, while having the potential to address some of these information needs, are not typically placed in the hands of planners and other interested stakeholders. Most tools are not constructed with a nontechnical user in mind and lack an easyto-use, easily understood interface. A major goal of this project was to implement a web-based Winter Maintenance Decision Support System (WMDSS) that enhances the capacity of stakeholders (city/county planners, resource managers, transportation personnel, citizens, and policy makers) to evaluate different procedures for managing snow removal assets optimally. This was accomplished by integrating geospatial analytical techniques (GIS and remote sensing), the existing snow removal asset management system, and webbased spatial decision support systems. The web-based system was implemented using the ESRI ArcIMS ActiveX Connector and related web technologies, such as Active Server Pages, JavaScript, HTML, and XML. The expert knowledge on snow removal procedures is gathered and integrated into the system in the form of encoded business rules using Visual Rule Studio. The system developed not only manages the resources but also provides expert advice to assist complex decision making, such as routing, optimal resource allocation, and monitoring live weather information. This system was developed in collaboration with Black Hawk County, IA, the city of Columbia, MO, and the Iowa Department of transportation. This product was also demonstrated for these agencies to improve the usability and applicability of the system.

Cost system design and cost management in the Spanish public sector

Cost systems have been shown to have developed considerably in recent years andactivity-based costing (ABC) has been shown to be a contribution to cost management,particularly in service businesses. The public sector is composed to a very great extentof service functions, yet considerably less has been reported of the use of ABC tosupport cost management in this sector.In Spain, cost systems are essential for city councils as they are obliged to calculate thecost of the services subject to taxation (eg. waste collection, etc). City councils musthave a cost system in place to calculate the cost of services, as they are legally requirednot to profit , from these services.This paper examines the development of systems to support cost management in theSpanish Public Sector. Through semi-structured interviews with 28 subjects within oneCity Council it contains a case study of cost management. The paper contains extractsfrom interviews and a number of factors are identified which contribute to thesuccessful development of the cost management system.Following the case study a number of other City Councils were identified where activity-based techniques had either failed or stalled. Based on the factors identified inthe single case study a further enquiry is reported. The paper includes a summary usingstatistical analysis which draws attention to change management, funding and politicalincentives as factors which had an influence on system success or failure.