En undersökning från Svenskt Kvalitetsindex har visat på låg kundnöjdhet i en av de svenska storbankerna. Banken har flera kategorier av kunder som ställer olika krav på service. Nöjdheten bland de prioriterade kunderna mäts med bankens egna kundbarometer på en skala mellan 0 till 10 där betygen 9 och 10 indikerar att kunderna skulle rekommendera banken. Syftet med min studie är att utvärdera och analysera kundnöjdheten och bankens rådgivningsprocess mot bakgrund av dess tillhandahållna tjänster. Studien syftar även på att ta fram förbättringsförslag för att nå ökad kundnöjdhet. Därför har jag gjort en litteraturstudie med hjälp av både kvalitativ och kvantitativ dataanalys utifrån Sex Sigmas problemlösningsmetodik, DMAIC (Definiera-Mäta-Analysera-Implementera-Kontrollera). Forskningsfrågorna utgår från teorier inom kundtillfredsställelse och coachning. Resultaten från studien visar att kvalitetsfaktorer som professionalitet, attityd och tillförlitlighet är viktigast för att ge ökad kundnöjdhet och bidra till en förbättrad rådgivningsprocess med stöd av coachning. Slutsatsen är att bankens rådgivare kan tillämpa en coachande rådgivningsmodell genom att koncentrera sig på aktiv kommunikation via uppföljning. På så sätt kan de prioriterade kunderna motiveras att rekommendera banken till andra. / Swedish Quality Index survey shows low customer satisfaction in one of the Swedish banks. The bank has several categories of customers that impose different quality service requirements. Customer satisfaction among the priority customers is measured with the bank's own customer barometer on a scale of 0 to 10 where two highest ratings indicate that these customers would recommend the bank to others. The purpose of the survey is to evaluate and analyze customer satisfaction and advisory process considering the services provided. The work points at developing improvements towards increased customer satisfaction. The thesis therefore consists of a literature study including qualitative and quantitative data analysis based on Six Sigma's problem-solving methodology, DMAIC (Define-Measure-Analyze-Improve-Control).  Research questions are based on customer satisfaction and coaching theories. The results from the study show that quality factors such as professionalism, attitude, and reliability are the most important for increasing customer satisfaction and contributing to an improved counseling process with coaching. The conclusion is that the bank's adviser can apply a coaching advisory model by concentrating on active communication through follow-up. In this way, the priority customers can be motivated to recommend the bank to others.

O Gerenciamento de Risco Hospitalar é um processo complexo de ações gerenciais multidisciplinares que tem como propósito implantar um sistema de monitoramento e identificação da provável origem de eventos adversos e seus danos, tomar decisões apropriadas e executar ações concernentes às áreas de Farmacovigilância, Hemovigilância e a Tecnovigilância. Esta última tem como parte das atividades, procedimentos para aquisição, utilização e controle da qualidade de produtos e equipamentos em uso na área da saúde. Nesse sentido, este estudo teve como objetivo geral construir e validar um instrumento de avaliação de produto médicohospitalar. Trata-se de um estudo quantitativo, exploratório, longitudinal e de desenvolvimento metodológico. A investigação foi estruturada utilizando-se de técnicas de gestão de qualidade com o uso da metodologia Seis Sigma para subsidiar o gerenciamento de risco na área de Tecnovigilância e a Técnica Delphi para a obtenção dos dados. A metodologia Seis Sigma possui como base principal, as etapas componentes do Ciclo DMAIC, onde a melhoria da performance com uso de abordagens estatísticas e estratégicas possibilitou o estudo das variabilidades dos processos. A Técnica Delphi foi utilizada para a obtenção de dados dos profissionais especialistas e juízes da Rede Brasileira de Hospitais Sentinela. Considerando que o equipo de infusão venosa é de amplo uso na área de saúde, foi elaborado um questionário, composto de três perguntas e 55 itens, para indicação daqueles itens a compor o instrumento de avaliação desse produto. A concretização da validação inicial contou com a participação de 134 profissionais especialistas que atenderam aos critérios de inclusão no estudo, e foi estabelecido o consenso de 80% de concordância, o que foi obtido com duas rodadas da Técnica Delphi-1. A seguir, desenvolveu-se um instrumento que possui duas partes: a Geral que se compõe de dados administrativos e do produto; a parte Específica que contém 9 tópicos e 43 itens de avaliações. O quadro de avaliação, contem cinco diferentes atributos de qualificação (péssimo, regular, bom, ótimo e excelente) e que possuem pontuações de 1 a 5 respectivamente. Na etapa Delphi-2, cinco juízes participaram de duas rodadas para a validação de conteúdo do modelo desenvolvido obtendo-se 100% de consenso. Na etapa Delphi-3, os juízes aplicaram o instrumento em três marcas de equipos simples e três de equipos com reservatório. Os resultados deste estudo contribuem não apenas para a avaliação dos produtos, mas também propõe uma metodologia para o desenvolvimento de um instrumento, extensível a outros produtos médico-hospitalares. Concluiu-se que o instrumento desenvolvido possibilitou avaliar os produtos diferenciando os resultados das marcas testadas, retratando o propósito inicial do estudo em se qualificar as avaliações de equipo de infusão. / Hospital risk management is a complex process, which involves multidisciplinary management actions. Its goal is to set up a system to monitor and identify the probable origin of adverse events and their damage; make appropriate decisions; and perform actions related to Pharmacovigilance, Hemovigilance and Technovigilance. The latter, among other functions, performs activities and procedures for the acquisition, use and quality control of products and equipment used in the health area. This study aims to construct and validate an instrument to assess medicalhospital products. A quantitative, exploratory, longitudinal and methodological development study was carried out. The research structure was based on quality management techniques, using the Six Sigma method to support risk management in Technovigilance and the Delphi technique for data collection. The premise of the Six Sigma method comprises the component steps of the DMAIC Cycle, in which performance improvement through the use of statistical and strategic approaches made it possible to study the processes variabilities. The Delphi technique was used to obtain data from specialized professionals and judges from the Brazilian Sentinel Hospital Network. As venous infusion equipment is widely used in the hospital area, a questionnaire was elaborated, consisting of three questions and 55 items, to indicate the items to be included in that products assessment instrument. In the initial validation, 134 specialized professionals took place, who complied with the criteria for inclusion in the study. The agreement level was set at 80%, obtained after two rounds of the Delphi technique. Next, a two-part instrument was developed: General, addressing administrative and product data; and Specific, with 9 topics and 43 assessment items. The assessment chart contains five different qualifications (Very bad, Regular, Good, Very Good and Excellent) and scores from 1 to 5, respectively. In the Delphi 2 phase, five judges participated in two round to validate the content of the developed model, achieving a 100% consensus. In the Delphi 3 phase, the judges applied the instrument to three brands of Simple equipment and three brands of equipment with Reserve. The study results not only contribute to product assessment, but also propose an instrument development method that can be extended to other medical-hospital products. It is concluded that the developed instrument permitted product assessment, providing distinct results for the tested brands, in line with the studys initial goal of qualifying infusion equipment assessments.

A competitividade de uma organização e, consequentemente, sua prosperidade perante concorridos mercados, depende muito da capacidade de inovação e aprimoramento de seus produtos/serviços e processos. A procura por melhores padrões de manufatura e serviços prestados aos clientes, além das aplicações de novas técnicas gerenciais, de melhoria contínua, de otimização e de tomada de decisão, têm atraído a atenção das organizações. O esforço criativo humano deve propor abordagens de caráter competitivo, combinando ferramentas e técnicas, conhecidas ou não, a fim de melhorarem seus desempenhos. Assim, o objetivo desta tese foi propor uma estrutura analítica integrando de forma sequencial o processo de melhoria contínua DMAIC e o método de análise multicriterial para tomada de decisão Analytic Hierarchy Process (AHP), com vistas às aplicações em operações de distribuição física de bebidas. Em um primeiro momento, por meio de uma pesquisa bibliográfica, foi proposta uma estrutura geral, denominada Estrutura Analítica DMAIC/AHP, envolvendo as teorias supracitadas. Além disso, com o auxílio de um estudo de caso, foi proposta uma estrutura detalhada para a tentativa de melhoria da operação de distribuição física de bebidas em uma empresa na cidade de Ribeirão Preto. O foco esteve também na oportunidade de se obter maior conhecimento do processo em estudo e melhorar o embasamento para a tomada de decisão. A aplicação da estrutura analítica foi dividida em três fases: fase 1 - definições para o projeto de melhoria; fase 2 - condução do processo de melhoria em si; e fase 3 (denominada metafase) - responsável por monitorar/acompanhar as atividades do projeto. A aplicação em um caso real permitiu a proposta de atividades e ferramentas para entendimento e aperfeiçoamento do processo; além de alternativas de decisão frente aos problemas encontrados; deu embasamento para a tomada de decisão no momento de se implementarem as melhorias e apresentou instrumentos para manutenção e controle das alterações propostas no projeto. Um ganho evidente com a junção das teorias foi que houve um auxílio mútuo entre elas. Dessa forma, o processo de melhoria contínua DMAIC, por meio de suas etapas minuciosas de conhecimentos de processos e de causas de problemas, pôde embasar de forma robusta a definição do modelo hierárquico do AHP, desde o objetivo geral a ser atingido, passando pelos critérios de decisão, até se chegar às alternativas de decisão propostas para o processo em estudo. Por outro lado, como o DMAIC não apresenta um método de tomada de decisão atraente, o AHP pôde auxiliar na tomada de decisão multicriterial de forma mais organizada, consistente e assertiva. / The competitiveness of an organization and consequently its prosperity before competitive markets, depends widely on the capacity for innovation and improvement of its products/services and processes. The pursuit for better manufacturing standards and services provided to customers, in addition to the applications of new management techniques, continuous improvement, optimization and decision-making, have attracted attention of organizations. The human creative effort should propose approaches of competitive basis, combining tools and techniques, known or not, in order to improve their performance. Thus, the objective of this thesis was to propose an analytical structure integrating sequentially the process of continuous improvement DMAIC of Six Sigma and the multi-criteria analysis method for decision making Analytic Hierarchy Process (AHP), in order to apply in real cases in beverage industries. At first, through a literature search, it was proposed a general structure, called Analytical Structure DMAIC/AHP, involving the above theories. In addition, with a case study aid, it was proposed a detailed structure attempting to improve the operation of physical distribution for beverages in a company in the city of Ribeirão Preto. The focus was also on the opportunity to gain greater knowledge of the process under study and improve the foundation for decision making. The application of analytical structure was divided into three phases: phase 1 - definitions for the improvement project; phase 2 - implementation of the improvement process itself; and phase 3 (called metaphase) - responsible for monitoring/following the activities of the project. The application in a real case allowed the proposal of activities and tools for the understanding and improvement of the process, as well as possibilities for more alternatives to problems encountered; provided foundation for decision making at the time of implementing the improvements and presented tools for maintenance and control of changes proposed in the project. An obvious gain from the junction of the theories was that there was a mutual aid between them. Thus, the process of continuous improvement DMAIC, through its detailed stages of knowledge of processes and causes of problems could robustly base the definition of the hierarchical model of AHP, since the overall objective to be attained, passing through the decision criteria, until they get to the alternatives of decisions proposed for the process under study. On the other hand, as the DMAIC does not present an attractive method of decision-making, AHP could assist in multi-criteria decision making more organized, consistent and assertive.

This thesis deals with questions regarding quality assurance and software testing. The subject of its theoretical part is the specification of the general concept of quality, description of standards used in the field of software product quality evaluation and finally the evaluation of software development process itself. The thesis intends to introduce the theoretical framework of software quality assurance, especially the detailed analysis of the whole software testing branch. An added value to the theoretical part constitutes the characterization of procedural approach and selected methods used towards the improvement of processes. The practical part of the thesis comprises of the exemplification -- it shows the procedural approach at software quality management, applied to a selected IT company. The main aim of the practical part is to create a purposeful project for optimization of quality assurance and software testing processes. The core of the matter is to accomplish the process analysis of the present condition of software testing methodology. For the purpose of process analysis and optimization project, the models of key processes will be created; these processes will then be depicted based on defined pattern. The description of the state-of-the-art of software product quality assurance processes is further supplemented by the evaluation of such processes maturity. The project for optimization of software testing and quality assurance processes comes from the process analysis of the present condition of software testing methodology, as well as from the evaluation of procedural models maturity. The essence of processes optimization is the incorporation of change requests and innovative intentions of individual processes into the resulting state of methodology draft. For the measurement of selected quality assurance and software testing processes, the configuration of efficiency indicators and their application on particular processes is implemented. The research on the of the state-of-the-art, as well as the elaboration of this whole project for optimization of software testing and quality assurance processes runs in conformity with the principles of DMAIC model of Six Sigma method.

This diploma thesis deals with a Six Sigma method, about especially analysis defects of forms for tire production company Barum Continental. In the first, theoretic part, there is the Six Sigma method, improvement method and implementation into practice defined, and at last I attended to the tools of Six Sigma method, e. g. Control Charts, Regression analysis, Pareto analysis. In the second, practical part, there is the industrial process analyzed. Then I was introduced Barum Continental spol. s.r.o. concern, which data extended. Up to data processing I was used tools of Six Sigma method and also histogram.

Den svenska skogsindustrin är den tredje största exportören av skogsprodukter i världen och närmare 80% av produktionen exporteras. Den höga efterfrågan på svenska skogsprodukter har tillåtit det svenska sågverksföretaget Derome Timber AB att göra nyinvesteringar som resulterat i ökad produktion. Vid ett av företagets fyra sågverksanläggningar har ledningen emellertid identifierat avdelningen Justerverket som en flaskhals på grund av de stora mellanlager och kassationer som uppstått. Som följd härav vill Derome undersöka och kartlägga kvalitetsbristkostnaderna som är kopplade till avdelningen Justerverket. Tidigare studier menar att sågverksindustrin inte tillämpar systematiska förbättringsarbeten i samma utsträckning som andra industrier. Syftet med denna studie är att undersöka hur systematiska förbättringsarbeten kan tillämpas i sågverksindustrin för att arbeta med kvalitetsbristkostnader. Syftet uppfylls genom en litteraturgenomgång och ett Lean Sex Sigma (LSS) projekt vid Derome Timber AB:s avdelning Justerverket. LSS är en förbättringsstrategi som kombinerar verktyg från Lean och Sex Sigma, avsedd för att reducera kostnader och öka effektivitet. LSS-projektet följer strukturen DMAIC (Define, Measure, Analyze, Improve och Control) och genomförs med hjälp av flera kvalitetstekniska verktyg under respektive fas i förbättringscykeln. I en av studien framtagen konceptuell modell illustreras vidare hur systematiska förbättringsarbeten kan tillämpas i sågverksindustrin för att arbeta med kvalitetsbristkostnader genom LSS-verktyg och DMAIC. Merparten av fallföretagets kvalitetsbristkostnader utgörs av dolda kvalitetsbristkostnader i form av förlorade intäkter som beräknades uppgå till ca 13Mkr. Genom insamling av frekvensdata framkom det att driftstopp står för den primära orsaken till de identifierade kvalitetsbristkostnaderna. Orsaken till driftstoppen kartlades därefter genom verktygen Ishikawadiagram och 5 Varför tillsammans med sågverkets medarbetare. I denna fas framkom det att data över driftstopp och kunskap om värdet i att mäta dessa saknas. En rad rekommenderade åtgärder togs fram genom LSS-projektet och den teoretiska referensramen. Dessa inkluderar utbildning, upprättandet av arbetsrutiner och engagemang kring arbete med kvalitetsbristkostnader. Implementering av ett nytt nyckeltal, TAK (Tillgänglighet, Anläggningsutnyttjande, Kvalitetsutbyte), rekommenderas för att ge en rättvisande bild över Justerverkets faktiska prestation. Slutligen rekommenderas implementering av statistisk processtyrning (SPS) för att urskilja systematiska orsaker till driftstopp från slumpmässiga. / The Swedish forest industry is the third largest exporter of forest products in the world and almost 80% of the production is exported. The high demand for Swedish forest products has allowed the Swedish sawmill company Derome Timber AB to make new investments, resulting in an increased production. At one of the company's four sawmill facilities, however, the management has identified the Adjustment department as a bottleneck due to the large intermediate storage and rejections that have arisen. Therefore, Derome wants to investigate and identify the costs of quality linked to the Adjustment Department. However, previous studies have found that the sawmill industry does not apply systematic improvement methods to the same extent as other industries. The aim of this study is to investigate how systematic improvement methods can be applied in the sawmill industry to work with cost of quality. The aim is achieved through a brief literature review and a Lean Sex Sigma (LSS) project at Derome Timber AB's Adjustment department. LSS is an improvement strategy that combines tools from Lean and Six Sigma, designed to reduce costs and increase efficiency. The LSS project follows the structure of DMAIC (Define, Measure, Analyze, Improve and Control) and shows the use of several quality improvement tools in each phase of the improvement cycle. A conceptual model developed in the current study illustrates how systematic improvement methods can be applied in the sawmill industry to work with cost of quality through LSS and DMAIC. The vast majority of the case company's cost of quality consists of hidden costs in the form of lost income, which is estimated to approximately 13 million SEK. Through the collection of frequency data, it emerged that downtime account for the primary cause of the identified costs of quality. The cause of downtime was then mapped through the tools Ishikawa diagram and 5 whys together with the sawmill's employees. In this phase, it emerged that data on downtime and knowledge of the value in measuring it are lacking. Several recommended measures are developed through the LSS project and the theoretical frame of reference. These include training, the establishment of work routines and commitment to work with cost of quality. Implementation of a new key performance indicator, OEE (Overall Equipment Effectiveness), is recommended to provide an accurate representation of the Adjustment department’s actual performance. Finally, the implementation of statistical process control (SPC) is recommended to distinguish systematic root causes of downtime from random ones.

Denna fallstudie har utförts på ett programvaruföretag där majoriteten av kunderna ännu inte har uppgraderat till den senaste versionen av programvaran. Studiens syfte var att identifiera de underliggande orsakerna till detta, identifiera eventuella processgap samt föreslå åtgärder för att bättre tillfredsställa kundernas behov. För att uppnå detta användes Sex Sigmas förbättringsmetodik DMAIC där respektive fas och verktyg tillämpades genom hela studien. Datan för studien samlades in genom intervjuer med ledningen, enkätundersökning till kunderna och interna kunddata från Programvaruföretaget. Resultaten av undersökningen visar att det finns samband mellan olika variabler som påverkar kundernas beslut att inte uppgradera. Slutsatsen är att den primära orsaken till att kunderna inte uppgraderar till den nya versionen av programvaran är att deras säkerhetskrav inte har uppfyllts. Dessutom finns det brister i kommunikationen mellan organisationen och kunderna, vilket kan leda till missförstånd och negativ påverkan. För att åtgärda situationen föreslås olika åtgärder. Att involvera kunderna redan i kravutformningen av programvaran för att säkerställa att deras behov och förväntningar beaktas är en av dessa åtgärder. Det rekommenderas också att mäta kundnöjdhet regelbundet och genomföra en mer omfattande undersökning för att utvärdera effektiviteten i kommunikationen med kunderna. Genom att implementera dessa åtgärder kan Programvaruföretaget öka chanserna att få kunderna att uppgradera till den senaste versionen / This case study has been conducted at a software organization where the majority of customers have not yet upgraded to the latest version of the software. The purpose of the study was to identify the underlying causes for this, identify possible process gaps and to propose measures to better satisfy the customers' needs. To achieve this, Six Sigma's DMAIC improvement methodology was used, with the respective phases and tools applied throughout the study. Data for the study was collected through interviews with management, a customer survey and internal customer data from the software company. The results of the study show that there are relationships between different variables that influence the reason why customers do not upgrade. The conclusion is that the primary reason why customers do not upgrade to the new version of the software is that their security requirements have not been met. In addition, there is a lack of communication between the organization and customers, which can lead to misunderstandings and negative impacts. To remedy the situation, various measures are proposed. Involving customers already in the software requirements definition to ensure that their needs and expectations are taken into account is one of these measures. It is also recommended to measure customer satisfaction regularly and conduct a more comprehensive survey to evaluate the effectiveness of communication with customers. By implementing these measures, the software company can increase the chances of getting customers to upgrade to the latest version.

The usage of statistical methods in the production industry has resulted in quality improvements for several organisations during the last decade. However, advanced statistical methods are still underutilised and underappreciated in quality improvement programs and projects in many companies. Therefore it is of interest to investigate how these methods can be used for quality improvements in the production industry. A case study was conducted at Teufelberger’s wire rope production plant in Wels, Austria. Wire rope type BS 909 was studied by utilising the arsenal of tools and methods that Six Sigma provides, with an emphasis on statistical methods -- especially Design of Experiments. Teufelberger is currently (2016) experiencing diameter issues along the rope and it has been found through customer reclamations and quality controls in the production that the variation in a production lot can be substantial. Furthermore, there is no master setting of process parameters and each operator has their own way of setting and adjusting them, as there are different ways to achieve a product which is within given tolerances. The purpose of this study is to investigate how statistical tools can be applied to minimise variance in a Teufelberger rope manufacturing process, by conducting a case study utilising the quality improvement methodology DMAIC. Experiments were conducted in the following four sub processes which produce input components used during the manufacturing of BS909: KL-A, KL-B, IL and Al. In KL-A the following main effects were identified as significant: Postformers Spin and Postformers Diameter. In KL-B the main effect Postformers Spin was significant. In IL the following main effects were identified as significant: Compacting device, Postformers Spin and Postformers Diameter. In AL the main effect Compacting device was significant. Based on the conclusion derived from analysing these experiments theoretical master setups were created in order to address the variance issue and standardise process parameters. Further verification testing must be conducted in order to verify and tune the proposed master setups before they can be utilised. / Det senaste årtiondet har användningen av statistiska metoder inom tillverkningsindustrin resulterat i kvalitetsförbättringar för flera organisationer men dessa metoder är fortfarande undervärderade och utnyttjas ej till fullo inom program och projekt för kvalitetsförbättringar. Därför är det av intresse att undersöka hur dessa metoder kan användas för kvalitetsförbättringar inom tillverkningsindustrin. Vid en av Teufelbergers produktionsanläggningar av stålvajrar i Wels, Österrike, har en fallstudie med kvalitetsförbättringsmetodiken DMAIC genomförts. Stålvajer typ BS 909 har studerats genom att använda den arsenal av verktyg och metoder som Six Sigma innefattar, med betoning på statistiska metoder och särskilt försöksplanering. Teufelberger hade för tillfället problem med främst diametern av stålvajern. Det har visat sig genom kundreklamationer och kvalitetskontroller i produktionen att variationen i en produktionsserie kan vara betydande. Dessutom finns det ej några dokumenterade optimala inställningar av processparametrar så varje maskinoperatör har sitt eget sätt att ställa in och justera processparametrarna. Detta är möjligt då det finns olika kombinationer av  parameterinställningar som kan ge en produkt som är inom givna toleranser. Syftet med denna studie är att undersöka hur statistikverktyg kan användas för att minimera variansen i en tillverkningsprocess av stålvajer hos företaget Teufelberger, detta genom att utföra en fallstudie med kvalitetsförbättringsmetodiken DMAIC Experiment utfördes i följande fyra processer som producerar ingående komponenter som används vid tillverkningen av BS909: KL-A, KL-B, IL och Al. I processen för KL-A identifierades följande huvudeffekter som aktiva;  Postformers-Spin och Postformers-Diameter. Den enda huvudeffekt som identifierades vara aktiv för KL-B var Postformers-Spin. För IL var följande huvudeffekter aktiva: Compacting device, Postformers-Spin och Postformers-Diameter. I processen AL var endast huvudeffekten Compacting device aktiv. Baserat på det resultat som framkom vid analysen av dessa experiment har nya teoretiskt optimala inställningar beräknats, som förväntas minska variationen i responsvariabeln diameter. De nya rekommenderade inställningarna bör tills vidare kunna fungera som ny standard för produktionen, men verifieringsförsök bör ändå utföras för att bekräfta och finjustera  inställningarna.

Trabalho realizado na STA, orientado pelo Eng. Manuel Casais / Tese de Mestrado Integrado. Engenharia Mecânica. Faculdade de Engenharia. Universidade do Porto. 2013

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