The equipment makers all over the world face the economic recession. They face many uncertainties and challenges when operation. In order to reduce the product development time to market, make the best utilization of the company resource, a suitable information system is helpful to achieve the goal. Applied Materials founded in 1976 is the world biggest equipment maker in the semiconductor industry. Because the growth rate is getting lower and lower, the company steps into other industries by merge and acquisition. Applied Materials expects to get revenue from these growing rapidly market requirements. This research is focus on Applied Materials company strategies. We analyzed the data transferred and information system structure changed during the company acquired Applied Films. We found out the information strategies aligned to company strategies. Through this research, we can understand more the suitable information system for equipment makers and help the equipment makers to get the capability to face the changing dramatically market.

<p>Lifetime Engineering (or Life Cycle Engineering) is a technical approach for meeting the current objective of sustainable development. The approach is aimed to turn today’s reactive and short-term design, management and maintenance planning towards an optimised and long-term technical approach. The life cycle based management and maintenance planning approach includes condition assessment, predictive modelling of performance changes, maintenance, repair and refurbishment planning and decisions. The Life Cycle Management System (LMS) is a predictive and generic life cycle based management system aimed to support all types of decision making and planning of optimal maintenance, repair and refurbishment activities of any constructed works. The system takes into account a number of aspects in sustainable and conscious development such as human requirements, life cycle economy, life cycle ecology and cultural requirements. The LMS is a system by which the complete system or parts thereof, works in co-operation or as a complement to existing business support systems. The system is module based where each module represents a subprocess within the maintenance management process. The scope of this thesis is focused on development and adaptation of the predictive characteristic of LMS towards a presumptive user. The objective is to develop and adapt a Service Life Performance Analysis module applicable for condition based Facility Management System in general and for condition based Bridge Management System in particular. Emphasis is placed on development and adaptation of a conditional probability based Service Life Performance Analysis model in which degradation models and Markov chains play a decisive role. The thesis deals also with development and adaptation of environmental exposure data recording and processing, with special emphasis on quantitative environmental classification in order to provide a simplified method of Service Life Performance Analysis.</p>

As microalgas, nos últimos anos, veem sendo utilizadas em pesquisas para produção de energias renováveis, entre elas, o biodiesel. Esse é um biocombustível formado através de reação química entre um mol de triglicerídeo e três mols de um álcool, sendo metanol ou etanol os mais utilizados. As tecnologias de produção são as mais diversas, porém, algumas etapas são essenciais, como o sistema de cultivo, colheita, secagem, extração do óleo e o processo de conversão química. A presente pesquisa consiste no desenvolvimento de um sistema produtivo para o biodiesel, utilizando dados literários, com óleo de microalgas do gênero Chlorella cultivadas em vinhaça, em um processo posterior a produção de etanol. Para isso, foram desenvolvidos dois sistemas de produção, onde alterou-se o sistema de cultivo (lagoas de alta taxa e fotobiorreator), e foram dimensionados um sistema de tratamento preliminar na vinhaça, a unidade de extração do óleo por liquefação hidrotérmica e a unidade de conversão. Os dados necessários para o dimensionamento foram obtidos em literatura, seguindo as orientações de normas e manuais técnicos. Com os insumos de entrada e saída em cada processo, foram realizados estudos de avaliação do ciclo de vida (ACV), para determinar os potenciais impactos ambientais, e assim, comparar os dois sistemas de produção e avaliar sua viabilidade para produzir biodiesel em grande escala. Os estudos de ACV foram realizados de acordo com as normas técnicas da série ISO 14.040, com as representantes nacionais ABNT NBR ISO 14.040 e ABNT NBR ISO 14.044. Como unidade funcional, foi adotado 1 kg de biodiesel, analisado a influência dos critérios de alocação (massa, econômico, cut-off e massa, cut-off e econômico), utilizando o EDIP 1997 e USEtox para a quantificação dos potenciais de impactos. Os resultados indicam que o sistema com fotobiorreator apresentou maior produtividade de biomassa, e consequentemente, maior produção de biodiesel (foram produzidos 50,76 kg/h de óleo em fotobiorreator e 27,57 kg/h de óleo em lagoas de alta taxa). No entanto, o tratamento utilizado para a vinhaça não foi adequado, consumindo grande quantidade de coagulante com um gasto de R$ 11.067.840,00 por dia. Do ponto de vista energético, ocorreu maior consumo de energia para produção da unidade funcional, em relação a energia fornecida pela mesma, sendo até 60 vezes maior. Do ponto de vista ambiental, o sistema que utilizou o fotobiorreator para o cultivo, apresentou redução em todas as categorias de potenciais impactos ambientais, em média 45%, em relação ao sistema de lagoas de alta taxa. Contudo, os valores emitidos, comparado com outros sistemas pesquisados, obteve maiores contribuições de impacto para a unidade funcional, com amplitude de até 1632 vezes, na categoria de aquecimento global. Os critérios de alocação apresentaram grande influência nos resultados, contudo recomendações estabelecem que processos de alocação sejam realizados, primeiramente, através de relações físicas. / Microalgae, in recent years, have been used in researches for the production of renewable energy, such as, biodiesel. Biodiesel is a product of the chemical reaction between one mole of triglyceride and three moles of an alcohol, e.g. methanol or ethanol. The biodiesel production technologies are diverse, however, some steps are essential, such as cropping system, harvesting, drying, oil extraction and the chemical conversion process. The present research aimed the development of a production system of biodiesel, using the oil derived from microalgae growing in vinasse, in a process after ethanol production. Two production systems were developed, where the cultivation system (raceways ponds and photobioreactors) was altered, and a preliminary treatment system was designed for the vinasse, oil extraction unit (hydrothermal liquefaction), and conversion unit. The necessary data for the scaling were obtained in literature, following the guidelines of standards and technical manuals. Considering the inputs and outputs of each processes, life cycle assessment (LCA) studies were conducted to determine potential environmental impacts, compared two production systems and evaluated their characteristics to produce biodiesel on a large scale. The LCA studies were carried out according to the technical standards of the ISO 14,040 series, with the national representatives ABNT NBR ISO 14,040 and ABNT NBR ISO 14,044. As a functional unit, 1 kg of biodiesel was used, analyzing the influence of the allocation criteria (mass, economic, cut-off and mass, cut-off and economic) using EDIP 1997 and USEtox for the quantification of impact potentials. From the results, the photobioreactor system showed higher biomass productivity and, consequently, higher biodiesel production than raceways ponds (50.76 kg/h of oil in photobioreactor and 27.57 kg/h of oil were produced in raceways). However, the treatment used for vinasse was not adequate, consuming a large amount of coagulant costing R$ 11,067,840.00 per day. From the energetic point view, there was higher energy consumption for the production of the functional unit, in relation to the energy supplied by the unit (up to 60 times greater). From the environmental point view, the system with photobioreactor for cultivation, presented a reduction in all categories of potential environmental impacts, on average 45%, in relation to the raceways system. However, the pollutant loads emitted, compared to other systems surveyed, showed greater impact contributions to the functional unit reaching up to 1632 times, in the global warming category. The allocation criteria had great influence on the results, however, the recommendations that establish that allocation processes are carried out, mainly, through physical relations.

Abstract The objective of this thesis is to demonstrate a design to profit procedure and its implementation in industrial case environment. The procedure is demonstrated as a way to improve profits in a global company. The essential elements of the procedure are product business case calculations and profit consciousness of employees. This study utilizes a combination of product life cycle analysis, advanced costing methods and multidimensional data processing for the product business case calculations. The combination is necessary for solving the research task. The need of proactive design is emphasized in the telecommunications industry due to shorter and shorter product life cycles. However, traditional accounting methods do not support proactive design work sufficiently during the life cycle of the products. The design to profit procedure has been created to help business managers to solve following problems: 1. How to proactively ensure the growth of business profits in the future? 2. How to prevent suboptimal decisions from being made in functional units and to promote overall profitability? 3. How to judge the profitability of new product programs within a company? 4. How can we ensure an adequate level of cost consciousness and profitability-driven targets for the company's key employees? This study presents and discusses the construction of the procedure and describes its elements, implementation and use in practice. The argumentation is illustrated by case studies. This method has benefits, especially when the product life cycles are short and the market competition strong. The design to profit procedure is a proactive mind set or thinking pattern. This system makes the employees aware of the importance target profitability and especially target costing. There is no decision support system that could guarantee the profitability of business. Cautious utilization of the system results and common sense are required to achieve continuous growth of business profits.

This diploma thesis deals with implementation of JIRA in a selected company. The aim of the thesis is to propose solution design for implementation of JIRA in order to support the processes of the company and also eliminate the problems occuring at present. The thesis is divided into three parts. The introduction of section provides a theoretical basis for the thesis, which consists of a description of the essential characteristics ADLM tools, analysis of the current competitors of the company Atlassian, which develops JIRA, and also description of the functionality of JIRA and plugins integrable with JIRA. The beginning of the second part consists of basic information about selected company, the defined processes and problems which new solution should eliminate. The core of practical part includes solution design for implementation of JIRA within the defined processes. The last part deals with the evaluation of implementation, proposal of possible improvements and generalization of experience gained in the implementation.

Cloud computing is the on-demand availability of computer resources provided as a service over a network. OpenStack is an open-source cloud computing software. Deploying and operating OpenStack manually is a tedious process. To address this,life-cycle management tools have been developed. These tools automate the process of deploying OpenStack and can work as operations and maintenance tools. As OpenStack follows a six-month release cycle, some of the life-cycle management tools can not keep up with the releases and end up outdated due to a lack of support from the OpenStack community. This leads to older OpenStack deployments being stuck on unsupported life-cycle management tools, which could have bugs, security issues and are often more complicated to manage than newer life-cycle management tools(LCMTs). One way to solve this is by moving the OpenStack deployment from one LCMT to another, that is migration of the deployment itself. This thesis addresses the issue by identifying the current popular LCMTs through a secondary survey by OpenStack foundation and the existing migration methods through literature review. Furthermore, the effect of LCMTs on the OpenStack deployment is analysed, and controlled experiments are performed to test non-live migration between different LCMTs based OpenStack deployments. The results from the OpenStack user survey shows that, Kolla-ansible, followed by Puppet and OpenStack-ansible are the current popular LCMTs, based on their usage amongst the survey participants. The literature review combined with experimentation shows that the existing migration models are limited to the LCMT environments and the LCMTs themselves effect the OpenStack deployment in deployment file locations and through underlying technologies. We also propose an experimental method which works for migrating OpenStack from OpenStack-Ansible to Kolla-Ansible through a Manual deployment and vice-versa, which can thereby be generalized.

The world’s first large scale offshore wind farm, Horns Rev 1, is approaching the decommissioning phase the profitability of future investments therefore has to be investigated further. Investment decision-making requires the consideration of several perspectives based on a life cycle view of the asset’s condition and profitability. In order to contribute to the economical perspective of Asset Life Cycle Management, a business case model has been developed in two parts, one that represents the whole wind farm and one for a single wind turbine. Through the two models, the user can examine the profitability of a wind farm from a system perspective as well as on a more detailed level. The purposes of these models are to assist in the budget planning of Horns Rev 1 and provide support for investment decisionmaking.

Lifetime Engineering (or Life Cycle Engineering) is a technical approach for meeting the current objective of sustainable development. The approach is aimed to turn today’s reactive and short-term design, management and maintenance planning towards an optimised and long-term technical approach. The life cycle based management and maintenance planning approach includes condition assessment, predictive modelling of performance changes, maintenance, repair and refurbishment planning and decisions. The Life Cycle Management System (LMS) is a predictive and generic life cycle based management system aimed to support all types of decision making and planning of optimal maintenance, repair and refurbishment activities of any constructed works. The system takes into account a number of aspects in sustainable and conscious development such as human requirements, life cycle economy, life cycle ecology and cultural requirements. The LMS is a system by which the complete system or parts thereof, works in co-operation or as a complement to existing business support systems. The system is module based where each module represents a subprocess within the maintenance management process. The scope of this thesis is focused on development and adaptation of the predictive characteristic of LMS towards a presumptive user. The objective is to develop and adapt a Service Life Performance Analysis module applicable for condition based Facility Management System in general and for condition based Bridge Management System in particular. Emphasis is placed on development and adaptation of a conditional probability based Service Life Performance Analysis model in which degradation models and Markov chains play a decisive role. The thesis deals also with development and adaptation of environmental exposure data recording and processing, with special emphasis on quantitative environmental classification in order to provide a simplified method of Service Life Performance Analysis. / QC 20101130

Pharmaceutical industry is today struggling with its productivity as products keep failing after long and expensive development programs. The protability is further threatened by erce competition from cheaper product copies. As an attempt to increase the pipeline output, pharmaceutical companies have lately turned to the strategy of drug repositioning. By applying an already developed drug in new disease areas the lifetime of the product is prolonged and return time on already made investments elongated.  Such development is imbued by less risk than a de novo development and has proven to be a faster and cheaper way to meet the medical demand. With limited company budgets and the often many repositioning possibilities, an informed repositioning selection must be made. As such theoretical model is not publicly available this thesis takes on the task to determine which parameters to take into consideration and how these should be weighted in relation to each other in order to evaluate di erent drug repositioning possibilities. Six main topics are identied to a ect the repositioning success, these are: medical need, economic return, scientic support, timing, life cycle extenders and external relations. These ndings are derived from empirics collected during interviews with employees from ve di erent competence areas involved in repositioning initiatives, na mely: research &amp; development, clinical studies, regulatory a airs, pricing, and commercial. By further support from literature within the elds of drug repositioning and R&amp;D project selection a three-step repositioning model was developed. The first step in the three-step repositioning model consists of primary parameters, these are essential parameters that have to be fullled in order to perform a repositioning strategy. If any of the primary parameters are not fullled, the repositioning opportunity should be killed in a go/no-go decision. In a second step, the secondary parameters are evaluated in a scoring model in order to determine the economical outlook of each repositioning opportunity. The opportunities showing greatest economical outlook should further be evaluated in the third and nal step in the three-step repositioning model. In this nal step the di erent repositioning opportunities are evaluated by their coherence with an overall corporate strategy. By applying this repositioning model to a repositioning selection scarce company resources  ay be focused on the repositioning opportunities showing best future prospect. Evaluating the potential of repositioning opportunities in a structured way should also increase chances to succeed. If successful, a repositioning initiative may a ect both company and society as the company improves return on earlier investments, while more patients in need of treatment will receive access to it. However, the three-step repositioning model presented in this thesis should be tested for more cases and perhaps be complemented with additional parameters or di erent gradings in order to optimize the selection.

The transport industry is in the middle of a conceptual shift driven by delivering the targets set by the Paris Agreement. Proactive heavy-duty vehicle companies seek to further gather knowledge in a structured way on environmental impacts of its products and services. The method to be implemented is Life Cycle Assessment (LCA). For implementation of LCA certain organisational and operational factors pre-requirements need to be addressed. The study takes key factors of Life Cycle Management (LCM) as a framework for assessing the readiness of Scania CV AB to implement LCA. Said key factors of LCM are analysed through company-based case study observations and literature review. The results indicate the company is in the process of introducing majority of the key factors of LCM. The case study tested the possibilities of the company for LCA, and attempted second phase of LCA, Life Cycle Inventory (LCI). The greatest challenge to LCA is low availability and format of data for LCA. However, the case study deeply tested the data limits and offers good insight in actions to be taken.