Data and Documentation

The primary aims of this survey were to assess household waste management practices; participation in waste diversion practices; knowledge of local waste management politics; willingness to participate in local decision making regarding the development of a local waste processing facility; attitudes and perceptions of waste, waste management policies, and waste management technologies.

What kind of expertise is needed for low energy construction

The construction industry is responsible for 40% of European Union (EU) end-use emissions but addressing this is problematic, as evident from the performance gap between design intention and on-site energy performance. There is a lack of the expertise needed for low energy construction (LEC) in the UK as the complex work processes involved require ‘energy literacy’ of all construction occupations, high qualification levels, broad occupational profiles, integrated teamworking, and good communication . This research identifies the obstacles to meeting these requirements, the nature of the expertise needed to break down occupational divisions and bridge those interfaces where the main heat losses occur, and the transition pathway implied. Obstacles include a decline in the level, breadth and quality of construction vocational education and training (VET), the lack of a learning infrastructure on sites, and a fragmented employment structure. To overcome these and develop enhanced understanding of LEC requires a transformation of the existing structure of VET provision and construction employment and a new curriculum based on a broader concept of agency and backed by rigorous enforcement of standards. This can be achieved through a radical transition pathway rather than market-based solutions to a low carbon future for the construction sector.

High-performance parallel systems for data-intensive computing

Thesis (Ph.D.)--University of Washington, 2016-08

A MODEL FOR EVALUATING IMPACT OF BUSINESS PROCESS MANAGEMENT IN ORGANIZATIONAL PERFORMANCE

Business Process Management (BPM) is able to organize and frame a company focusing in the improvement or assurance of performance in order to gain competitive advantage. Although it is believed that BPM improves various aspects of organizational performance, there has been a lack of empirical evidence about this. The present study has the purpose to develop a model to show the impact of business process management in organizational performance. To accomplish that, the theoretical basis required to know the elements that configurate BPM and the measures that can evaluate the BPM success on organizational performance is built through a systematic literature review (SLR). Then, a research model is proposed according to SLR results. Empirical data will be collected from a survey of  larg and mid-sized industrial and service companies headquartered in Brazil. A quantitative analysis will be performed using structural equation modeling (SEM) to show if the direct effects among BPM and organizational performance can be considered statistically significant. At the end will discuss these results and their managerial and cientific implications.Keywords: Business process management (BPM). Organizational performance. Firm performance. Business models. Structural Equation Modeling. Systematic Literature Review.

Co-exposure to mycotoxins: the case of waste management workers

Introduction - Occupational exposures are characterized by being complex and associated to co-exposure to several contaminants by different exposure routes. Even if exposure occurs to only a chemical agent, it can have different exposure routes and can result in different health effects. The waste management setting is recognized by the presence of several chemical and biologic agents in the workplaces. Recently, it was reported occupational exposure to Aflatoxin B1 (AFB1) in one Portuguese waste management industry. However, data regarding to fungal burden showed that exposure to other mycotoxins should be expected. Aim of the study - The aim of the present work was to know if workers from this waste management industry were exposed to other mycotoxins besides AFB1.

Data-analytiikan hyödyntäminen yrityksen talouden ohjauksessa

Kandidaatintyö on toteutettu kirjallisuuskatsauksena, jonka tavoitteena on selvittää data-analytiikan käyttökohteita ja datan hyödyntämisen vaikutusta liiketoimintaan. Työ käsittelee data-analytiikan käyttöä ja datan tehokkaan hyödyntämisen haasteita. Työ on rajattu tarkastelemaan yrityksen talouden ohjausta, jossa analytiikkaa käytetään johdon ja rahoituksen laskentatoimessa. Datan määrän eksponentiaalinen kasvunopeus luo data-analytiikan käytölle uusia haasteita ja mahdollisuuksia. Datalla itsessään ei kuitenkaan ole suurta arvoa yritykselle, vaan arvo syntyy prosessoinnin kautta. Vaikka data-analytiikkaa tutkitaan ja käytetään jo runsaasti, se tarjoaa paljon nykyisiä sovelluksia suurempia mahdollisuuksia. Yksi työn keskeisimmistä tuloksista on, että data-analytiikalla voidaan tehostaa johdon laskentatoimea ja helpottaa rahoituksen laskentatoimen tehtäviä. Tarjolla olevan datan määrä kasvaa kuitenkin niin nopeasti, että käytettävissä oleva teknologia ja osaamisen taso eivät pysy kehityksessä mukana. Varsinkin big datan laajempi käyttöönotto ja sen tehokas hyödyntäminen vaikuttavat jatkossa talouden ohjauksen käytäntöihin ja sovelluksiin yhä enemmän.

Toimittajayhteistyö rakennusalalla: Yhteistyön kehittäminen ja haasteet nykypäivän rakennusyhtiössä

Tämän kandidaatin tutkielman tarkoituksena on perehtyä suomalaisen rakennusyhtiön toimittajayhteistyön nykytilaan, yhteistyön tiivistämiseen liittyviin mahdollisuuksiin ja haasteisiin sekä toimittajakannan segmentointiin. Työ pyrkii antamaan kokonaiskuvan yrityksen yhteistyösuhteiden tilasta sekä muodostamaan näkemyksiä mahdollisista ongelmakohdista. Näin ollen pyritään tarjoamaan yritykselle myös mahdollisuus tarttua toimittajasuhteisiin liittyviin asioihin, jotka eivät ole vielä yrityksen haluamalla tasolla. Tutkimuksen tulokset perustuvat aikaisemmista tutkimuksista muodostuvaan teoriaosuuteen sekä haastatteluiden avulla kerättyyn empiriaosioon. Haastattelut on suoritettu puolistrukturoituina ja materiaali on analysoitu teemoittelua hyödyntäen. Tutkimus osoitti, että kehittämällä toimittajasuhteita oikeanlaisten toimittajien kanssa, on yrityksen mahdollista saavuttaa paljon kaivattua kilpailuetua. Hyötyjen tavoitteleminen ei kuitenkaan ole ongelmatonta projektiluontoisella rakennusalalla, jossa toimittajasuhteista on haastavaakehittää jatkuvia suhteita vaihtuvien projektien vuoksi. Kohdeyrityksessä pyritään jo nyt hyödyntämään toimittajayhteistyöstä kumpuavia etuja, mutta paljon on vielä tekemättä. Nykyään hinta vaikuttaa vielä liikaa toimittajavalintaan, yhteistyön kehittämiselle ei ole olemassa tunnettua järjestelmää ja yhteistyösuhteiden merkitystä tulisi läpi organisaation painottaa vahvemmin. Yrityksen henkilöstö tiedostaa haasteet, joita yhteistyösuhteiden kehittämiseen liittyy, mutta yleinen mielipide on kuitenkin se, että toimittajasuhteiden kehittäminen on kannattavaa haasteellisuudesta huolimatta. Tulevaisuudessa yrityksen kannattaa yhä vahvemmin lähteä tavoittelemaan yhteistyösuhteita kehittämällä saavutettavissa olevia kilpailullisia etuja, koska osaamista ja resursseja siihen löytyy. Ennen kehittämisprosessia johdon kannattaa kuitenkin kiinnittää huomiota tutkimuksessa ilmenneisiin eriäviin mielipiteisiin muun muassa henkilösuhteiden vaikutuksesta ja organisaatiotason ymmärryksestä, jotta toimittajayhteistyön hyödyt saadaan realisoitumaan halutulla tavalla.

Investigating the use of LiDAR scanning as a method for the measurement of timber distortion features

Measuring the extent to which a piece of structural timber has distorted at a macroscopic scale is fundamental to assessing its viability as a structural component. From the sawmill to the construction site, as structural timber dries, distortion can render it unsuitable for its intended purposes. This rejection of unusable timber is a considerable source of waste to the timber industry and the wider construction sector. As such, ensuring accurate measurement of distortion is a key step in addressing ineffciencies within timber processing. Currently, the FRITS frame method is the established approach used to gain an understanding of timber surface profile. The method, while reliable, is dependent upon relatively few measurements taken across a limited area of the overall surface, with a great deal of interpolation required. Further, the process is unavoidably slow and cumbersome, the immobile scanning equipment limiting where and when measurements can be taken and constricting the process as a whole. This thesis seeks to introduce LiDAR scanning as a new, alternative approach to distortion feature measurement. In its infancy as a measurement technique within timber research, the practicalities of using LiDAR scanning as a measurement method are herein demonstrated, exploiting many of the advantages the technology has over current approaches. LiDAR scanning creates a much more comprehensive image of a timber surface, generating input data multiple magnitudes larger than that of the FRITS frame. Set-up and scanning time for LiDAR is also much quicker and more flexible than existing methods. With LiDAR scanning the measurement process is freed from many of the constraints of the FRITS frame and can be done in almost any environment. For this thesis, surface scans were carried out on seven Sitka spruce samples of dimensions 48.5x102x3000mm using both the FRITS frame and LiDAR scanner. The samples used presented marked levels of distortion and were relatively free from knots. A computational measurement model was created to extract feature measurements from the raw LiDAR data, enabling an assessment of each piece of timber to be carried out in accordance with existing standards. Assessment of distortion features focused primarily on the measurement of twist due to its strong prevalence in spruce and the considerable concern it generates within the construction industry. Additional measurements of surface inclination and bow were also made with each method to further establish LiDAR's credentials as a viable alternative. Overall, feature measurements as generated by the new LiDAR method compared well with those of the established FRITS method. From these investigations recommendations were made to address inadequacies within existing measurement standards, namely their reliance on generalised and interpretative descriptions of distortion. The potential for further uses of LiDAR scanning within timber researches was also discussed.

O papel das construtoras e incorporadoras na adoção da tecnologia BIM na indústria da construção no Brasil : um estudo prospectivo

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Arquitetura e Urbanismo, Programa de Pós-Graduação em Arquitetura e Urbanismo, 2015.

Diseño de gestión de proyectos bajo la guía metodológica del Project Management Institute, INC. - PMI® para la empresa MABEGO S.A.S.

En la actualidad, las buenas prácticas del Project Management Institute, Inc. (PMI®) son utilizadas en muchas organizaciones para la estructuración, ejecución y cierre de diversos proyectos; las buenas prácticas recogidas por este Instituto han servido de base para que las empresas logren conseguir los objetivos estratégicos con una correcta gestión de los programas y proyectos que se vayan a emprender -- El sector de la construcción no es ajeno a la aplicación de estos estándares, más aún cuando el común denominador son los sobrecostos, la prolongación del cronograma y la variación del alcance, que finalmente terminan afectado la rentabilidad de los proyectos y redundan en la rentabilidad de la empresa -- Mabego S.A.S., es una empresa nueva dedicada a la estructuración, ejecución y venta de proyectos inmobiliarios, cuyo centro de operación es la ciudad de Pasto-Departamento de Nariño, el objetivo principal de la empresa es penetrar el mercado inmobiliario local, teniendo como fortalezas la experiencia y conocimiento aportado por los socios -- Con el presente trabajo se analizan los cuarenta y siete (47) procesos dentro de los grupos de inicio, planeación, ejecución, monitoreo y control, además de cierre establecidos en las diez (10) áreas del conocimiento que establece el PMI® en la guía de los fundamentos para la dirección de proyectos (Guía del PMBOK® - Project Management Body of Knowledge) quinta edición; se crea una metodología de acuerdo a las necesidades de la organización; para conseguirlo se analizaron cada uno de los procesos establecidos en el PMI® y como resultado se presenta la estandarización por medio de formatos y procedimientos que ayudan a la empresa a cumplir con los objetivos específicos de cada uno de sus proyectos -- La pertinencia del trabajo radica en la necesidad de la empresa Mabego S.A.S., de formalizar los procedimientos dentro de la misma, esto debido a que se pretende lograr una correcta estructuración, ejecución y liquidación de los proyectos, además, se aplicó una metodología definida con el objetivo de estandarizar los procesos internos y así lograr un posicionamiento en el sector de la construcción por medio del reconocimiento del cliente en la entrega a tiempo y con la calidad propuesta en los documentos de venta del proyecto

Improving Resource Management in Virtualized Data Centers using Application Performance Models

The rapid growth of virtualized data centers and cloud hosting services is making the management of physical resources such as CPU, memory, and I/O bandwidth in data center servers increasingly important. Server management now involves dealing with multiple dissimilar applications with varying Service-Level-Agreements (SLAs) and multiple resource dimensions. The multiplicity and diversity of resources and applications are rendering administrative tasks more complex and challenging. This thesis aimed to develop a framework and techniques that would help substantially reduce data center management complexity. We specifically addressed two crucial data center operations. First, we precisely estimated capacity requirements of client virtual machines (VMs) while renting server space in cloud environment. Second, we proposed a systematic process to efficiently allocate physical resources to hosted VMs in a data center. To realize these dual objectives, accurately capturing the effects of resource allocations on application performance is vital. The benefits of accurate application performance modeling are multifold. Cloud users can size their VMs appropriately and pay only for the resources that they need; service providers can also offer a new charging model based on the VMs performance instead of their configured sizes. As a result, clients will pay exactly for the performance they are actually experiencing; on the other hand, administrators will be able to maximize their total revenue by utilizing application performance models and SLAs. This thesis made the following contributions. First, we identified resource control parameters crucial for distributing physical resources and characterizing contention for virtualized applications in a shared hosting environment. Second, we explored several modeling techniques and confirmed the suitability of two machine learning tools, Artificial Neural Network and Support Vector Machine, to accurately model the performance of virtualized applications. Moreover, we suggested and evaluated modeling optimizations necessary to improve prediction accuracy when using these modeling tools. Third, we presented an approach to optimal VM sizing by employing the performance models we created. Finally, we proposed a revenue-driven resource allocation algorithm which maximizes the SLA-generated revenue for a data center.

Geometrical Methods in Multivariate Risk Management: Algorithms and Applications

This thesis builds a framework for evaluating downside risk from multivariate data via a special class of risk measures (RM). The peculiarity of the analysis lies in getting rid of strong data distributional assumptions and in orientation towards the most critical data in risk management: those with asymmetries and heavy tails. At the same time, under typical assumptions, such as the ellipticity of the data probability distribution, the conformity with classical methods is shown. The constructed class of RM is a multivariate generalization of the coherent distortion RM, which possess valuable properties for a risk manager. The design of the framework is twofold. The first part contains new computational geometry methods for the high-dimensional data. The developed algorithms demonstrate computability of geometrical concepts used for constructing the RM. These concepts bring visuality and simplify interpretation of the RM. The second part develops models for applying the framework to actual problems. The spectrum of applications varies from robust portfolio selection up to broader spheres, such as stochastic conic optimization with risk constraints or supervised machine learning.

The significant role of third-party logistics (3pl) operators as fosterers of organizational performance in colombian companies

La eliminación de barreras entre países es una consecuencia que llega con la globalización y con los acuerdos de TLC firmados en los últimos años. Esto implica un crecimiento significativo del comercio exterior, lo cual se ve reflejado en un aumento de la complejidad de la cadena de suministro de las empresas. Debido a lo anterior, se hace necesaria la búsqueda de alternativas para obtener altos niveles de productividad y competitividad dentro de las empresas en Colombia, ya que el entorno se ha vuelto cada vez más complejo, saturado de competencia no sólo nacional, sino también internacional. Para mantenerse en una posición competitiva favorable, las compañías deben enfocarse en las actividades que le agregan valor a su negocio, por lo cual una de las alternativas que se están adoptando hoy en día es la tercerización de funciones logísticas a empresas especializadas en el manejo de estos servicios. Tales empresas son los Proveedores de servicios logísticos (LSP), quienes actúan como agentes externos a la organización al gestionar, controlar y proporcionar actividades logísticas en nombre de un contratante. Las actividades realizadas pueden incluir todas o parte de las actividades logísticas, pero como mínimo la gestión y ejecución del transporte y almacenamiento deben estar incluidos (Berglund, 2000). El propósito del documento es analizar el papel de los Operadores Logísticos de Tercer nivel (3PL) como promotores del desempeño organizacional en las empresas colombianas, con el fin de informar a las MIPYMES acerca de los beneficios que se obtienen al trabajar con LSP como un medio para mejorar la posición competitiva del país.

Riesgo biomecánico y dolor lumbar en operarios y personal administrativo en una fábrica de jabón en Bogotá 2016

Introducción: El dolor lumbar y los desórdenes músculo esqueléticos comprometen la salud y la calidad de vida de los trabajadores, pueden poner en riesgo el futuro laboral de las personas. bjetivo: Estimar la prevalencia de dolor lumbar y los posibles factores biomecánicos asociados en el personal operativo y administrativo en una empresa manufacturera de jabón en Bogotá, en el año 2016 Metodología: Estudio de corte transversal donde se evaluó el riesgo biomecánico y la prevalencia del dolor lumbar en personal administrativo (138) y operativo (165); se utilizó como instrumento el ERGOPAR validado en España. Se revisó la asociación utilizando la prueba Chi Cuadrado de Pearson, con un nivel de significación α 0.05 Resultados: 303 trabajadores de una empresa manufacturera de jabón en Bogotá, donde predominó el género masculino (51,82%) y la población adulta media entre 30-39 años (57,42%). La prevalencia del dolor lumbar en la población fue de 61,39% (186). La edad no se asoció estadísticamente al dolor lumbar. Se encontró asociación estadística entre el síntoma dolor lumbar y extensión de cuello (p=0,05 OR1.95 IC 1.33-2.88), así como con agarrar o sujetar objetos (p= 0,036. OR 2.3 IC 1.59-3.51) y con las exigencias físicas laborales (p= 0.001 OR 1.99 IC 1.31-3.02). Conclusiones: La población estudiada presentó una alta prevalencia de dolor lumbar, con predominio en personal que realiza labores operativas, y del género femenino. La adopción de posturas de extensión del cuello y la sujeción o agarre de objetos son factores asociados directamente con la aparición de lumbalgia.

FILTERING TECHNIQUES APPLIED ON RAW CARRIER PHASE FOR GPS DETECTING SMALL DYNAMIC DISPLACEMENTS

This work is part of a research under construction since 2000, in which the main objective is to measure small dynamic displacements by using L1 GPS receivers. A very sensible way to detect millimetric periodic displacements is based on the Phase Residual Method (PRM). This method is based on the frequency domain analysis of the phase residuals resulted from the L1 double difference static data processing of two satellites in almost orthogonal elevation angle. In this article, it is proposed to obtain the phase residuals directly from the raw phase observable collected in a short baseline during a limited time span, in lieu of obtaining the residual data file from regular GPS processing programs which not always allow the choice of the aimed satellites. In order to improve the ability to detect millimetric oscillations, two filtering techniques are introduced. One is auto-correlation which reduces the phase noise with random time behavior. The other is the running mean to separate low frequency from the high frequency phase sources. Two trials have been carried out to verify the proposed method and filtering techniques. One simulates a 2.5 millimeter vertical antenna displacement and the second uses the GPS data collected during a bridge load test. The results have shown a good consistency to detect millimetric oscillations.