Ympäristö- ja energianhallintajärjestelmän suunnittelu valaisinpylväitä valmistavalle yritykselle

Diplomityön tavoitteena oli tutkia, miten ympäristö- ja energianhallintajärjestelmät tulisi yrityksessä rakentaa. Tarkoituksena oli myös analysoida toimipaikkojen ominaisuuksien perusteella, olisiko Tehomet-konsernin tehtaille kannattavampaa rakentaa yhteinen vai oma hallintajärjestelmä. Lisäksi analysoitiin ympäristö- ja energianhallintajärjestelmien integroimista olemassa olevaan laatujärjestelmään. Kansainvälisten ISO-standardien pohjalta rakennetaan hallintajärjestelmä, joka toimii johtamisen työkaluna. Järjestelmä sisältää käytännössä sovitut toimintatavat ja kirjatut menetelmät, joilla voidaan hallita yrityksen todettuja ja mahdollisia ympäristövaikutuksia. Työssä keskityttiin yrityksen toiveiden mukaisesti erityisesti ympäristöjärjestelmään. Tapaustutkimuksen menetelmänä käytettiin kyselyä, haastatteluja ja tehdaskatselmuskierrosta. Standardien sisältöjen ja toimijan nykytilanteen kartoittamisen sekä jatkotoimenpiteiden pohtimisen tuloksena syntyivät teoriakatsaus järjestelmistä, alustavan ympäristökatselmuksen tulokset sekä toimintamalli ympäristöjärjestelmän käyttöönottamiseksi. Toimintamallin esimerkkien avulla yrityksen on mahdollista rakentaa ympäristöjärjestelmä. Työn sovellusosassa kerrottiin, miltä osin energiajärjestelmä eroaa ympäristöjärjestelmästä, eli mitkä asiat tulisi vielä huomioida, jotta energia-asioita voitaisiin jatkossa hallita standardin mukaisesti. Työn toimenpidesuositusten avulla on siten annettu ohjeet myös energianjärjestelmän rakentamiseksi. Järjestelmän rakentamisen jälkeen alkaa ylläpitotyö jatkuvan parantamisen periaatteen mukaisesti.

Yhteiskehittelyn käynnistäminen sosiaali- ja terveystoimen lähipalvelutuotannossa – Ristiinan kuntataajaman tapaustutkimus

Työssä tutkitaan asiakkaan ja käyttäjän mukaan ottamista sosiaali- ja terveyspalveluiden kehittämiseen. Opinnäytetyö on osa sosiaali- ja terveyspalveluiden uudistamista Mikkelin seudulla. Työn pääfokus on lähipalveluiden kehittämisessä. Tutkimuksen tavoitteena on ollut luoda sosiaali- ja terveystoimeen toimintamalli ja rakenteet jatkuvalle kehittämisyhteistyölle palveluiden käyttäjien ja palveluiden tuottajien välille kuntataajamassa. Teoreettisena viitekehyksenä tukeudutaan co-creation – menetelmään eli yhteiskehittelyyn. Tutkimus toteutettiin laadullisena tutkimuksena, jossa valittuna menetelmänä oli toimintatutkimuksena toteutettu tapaustutkimus. Tutkimuksen tuloksena syntyi runsaasti ideoita koskien lähipalveluiden kehittämistä. Palvelumuotoilun menetelmin toteutettu työpaja osoittautui toimivaksi menetelmäksi käynnistää yhteiskehittelyä. Yhteiskehittely suositellaan otettavaksi käyttöön sosiaali- ja terveystoimen lähipalvelupisteissä.

Fast fault section estimation in distribution control centers using adaptive genetic algorithm

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A final report of the AG-1 sensitivity studies.

Photocopy.

A genetic neuro-model reference adaptive controller for petroleum wells drilling operations

Motivated by rising drilling operation costs, the oil industry has shown a trend towards real-time measurements and control. In this scenario, drilling control becomes a challenging problem for the industry, especially due to the difficulty associated to parameters modeling. One of the drill-bit performance evaluators, the Rate of Penetration (ROP), has been used in the literature as a drilling control parameter. However, the relationships between the operational variables affecting the ROP are complex and not easily modeled. This work presents a neuro-genetic adaptive controller to treat this problem. It is based on the Auto-Regressive with Extra Input Signals model, or ARX model, to accomplish the system identification and on a Genetic Algorithm (GA) to provide a robust control for the ROP. Results of simulations run over a real offshore oil field data, consisted of seven wells drilled with equal diameter bits, are provided. © 2006 IEEE.

Development of a Strengths-Based Model for Insurance Automobile, Property, and Casualty Claims Operations

ABSTRACT \ Employers know that to have a successful organization, they must have the right people in the right jobs. But how will they know whom to place where? The development of a model based upon an individual's personality traits and strengths, and how to best use them, is a good place to start. Employees working in positions in which their traits and strengths are maximized enjoy work more, are more efficient, and are less apt to be absent or to look for work elsewhere. It is a mutually beneficial process of selection for both employers and employees. This model illustrates the process in an automobile and property insurance claims operation through utilization of the Myers-Briggs Type Indicators and the StrengthsFinder Profiles.

A mathematical model for evaluating exclusive bus lane operations on freeways,

Mode of access: Internet.

Managing enterprises and ERP systems:a contingency model for the enterprization of operations

Purpose: The purpose of this paper is to investigate enterprise resource planning (ERP) systems development and emerging practices in the management of enterprises (i.e. parts of companies working with parts of other companies to deliver a complex product and/or service) and identify any apparent correlations. Suitable a priori contingency frameworks are then used and extended to explain apparent correlations. Discussion is given to provide guidance for researchers and practitioners to deliver better strategic, structural and operational competitive advantage through this approach; coined here as the "enterprization of operations". Design/methodology/approach: Theoretical induction uses a new empirical longitudinal case study from Zoomlion (a Chinese manufacturing company) built using an adapted form of template analysis to produce a new contingency framework. Findings: Three main types of enterprises and the three main types of ERP systems are defined and correlations between them are explained. Two relevant a priori frameworks are used to induct a new contingency model to support the enterprization of operations; known as the dynamic enterprise reference grid for ERP (DERG-ERP). Research limitations/implications: The findings are based on one longitudinal case study. Further case studies are currently being conducted in the UK and China. Practical implications: The new contingency model, the DERG-ERP, serves as a guide for ERP vendors, information systems management and operations managers hoping to grow and sustain their competitive advantage with respect to effective enterprise strategy, enterprise structure and ERP systems. Originality/value: This research explains how ERP systems and the effective management of enterprises should develop in order to sustain competitive advantage with respect to enterprise strategy, enterprise structure and ERP systems use. © Emerald Group Publishing Limited.

Model for facilities or vendors location in a global scale considering several echelons in the Chain

The facilities location problem for companies with global operations is very complex and not well explored in the literature. This work proposes a MILP model that solves the problem through minimization of the total logistic cost. Main contributions of the model are the pioneer carrying cost calculation, the treatment given to the take-or-pay costs and to the international tax benefits such as drawback and added value taxes in Brazil. The model was successfully applied to a real case of a chemical industry with industrial plants and sales all over the world. The model application recommended a totally new sourcing model for the company.

Modeling soil organic carbon dynamics in Oxisols of Ibiruba (Brazil) with the Century Model

introduction of conservation practices in degraded agricultural land will generally recuperate soil quality, especially by increasing soil organic matter. This aspect of soil organic C (SOC) dynamics under distinct cropping and management systems can be conveniently analyzed with ecosystem models such as the Century Model. In this study, Century was used to simulate SOC stocks in farm fields of the Ibiruba region of north central Rio Grande do Sul state in Southern Brazil. The region, where soils are predominantly Oxisols, was originally covered with subtropical woodlands and grasslands. SOC dynamics was simulated with a general scenario developed with historical data on soil management and cropping systems beginning with the onset of agriculture in 1900. From 1993 to 2050, two contrasting scenarios based on no-tillage soil management were established: the status quo scenario, with crops and agricultural inputs as currently practiced in the region and the high biomass scenario with increased frequency of corn in the cropping system, resulting in about 80% higher biomass addition to soils. Century simulations were in close agreement with SOC stocks measured in 2005 in the Oxisols with finer texture surface horizon originally under woodlands. However, simulations in the Oxisols with loamy surface horizon under woodlands and in the grassland soils were not as accurate. SOC stock decreased from 44% to 50% in fields originally under woodland and from 20% to 27% in fields under grasslands with the introduction of intensive annual grain crops with intensive tillage and harrowing operations. The adoption of conservation practices in the 1980s led to a stabilization of SOC stocks followed by a partial recovery of native stocks. Simulations to 2050 indicate that maintaining status quo would allow SOC stocks to recover from 81% to 86% of the native stocks under woodland and from 80% to 91 % of the native stocks under grasslands. Adoption of a high biomass scenario would result in stocks from 75% to 95% of the original stocks under woodlands and from 89% to 102% in the grasslands by 2050. These simulations outcomes underline the importance of cropping system yielding higher biomass to further increase SOC content in these Oxisols. This application of the Century Model could reproduce general trends of SOC loss and recovery in the Oxisols of the Ibiruba region. Additional calibration and validation should be conducted before extensive usage of Century as a support tool for soil carbon sequestration projects in this and other regions can be recommended. (C) 2009 Elsevier B.V. All rights reserved.

Weibull model selection for reliability modelling

A large number of models have been derived from the two-parameter Weibull distribution and are referred to as Weibull models. They exhibit a wide range of shapes for the density and hazard functions, which makes them suitable for modelling complex failure data sets. The WPP and IWPP plot allows one to determine in a systematic manner if one or more of these models are suitable for modelling a given data set. This paper deals with this topic.

Dual processes in recognition: Does a focus on measurement operations provide a sufficient foundation?

Current theoretical thinking about dual processes in recognition relies heavily on the measurement operations embodied within the process dissociation procedure. We critically evaluate the ability of this procedure to support this theoretical enterprise. We show that there are alternative processes that would produce a rough invariance in familiarity (a key prediction of the dual-processing approach) and that the process dissociation procedure does not have the power to differentiate between these alternative possibilities. We also show that attempts to relate parameters estimated by the process dissociation procedure to subjective reports (remember-know judgments) cannot differentiate between alternative dual-processing models and that there are problems with some of the historical evidence and with obtaining converging evidence. Our conclusion is that more specific theories incorporating ideas about representation and process are required.

Analysis of dynamic process models for structural insight and model reduction .1. Structural identification measures

An important consideration in the development of mathematical models for dynamic simulation, is the identification of the appropriate mathematical structure. By building models with an efficient structure which is devoid of redundancy, it is possible to create simple, accurate and functional models. This leads not only to efficient simulation, but to a deeper understanding of the important dynamic relationships within the process. In this paper, a method is proposed for systematic model development for startup and shutdown simulation which is based on the identification of the essential process structure. The key tool in this analysis is the method of nonlinear perturbations for structural identification and model reduction. Starting from a detailed mathematical process description both singular and regular structural perturbations are detected. These techniques are then used to give insight into the system structure and where appropriate to eliminate superfluous model equations or reduce them to other forms. This process retains the ability to interpret the reduced order model in terms of the physico-chemical phenomena. Using this model reduction technique it is possible to attribute observable dynamics to particular unit operations within the process. This relationship then highlights the unit operations which must be accurately modelled in order to develop a robust plant model. The technique generates detailed insight into the dynamic structure of the models providing a basis for system re-design and dynamic analysis. The technique is illustrated on the modelling for an evaporator startup. Copyright (C) 1996 Elsevier Science Ltd