A disseminação de sistemas de aquisição de dados sobre a qualidade e o desempenho de produtos e processos de fabricação deu origem a novos tipos de dados. Dado funcional é um conjunto de dados que formam um perfil ou uma curva. No perfil, a característica de qualidade é uma função dependente de uma ou mais variáveis exploratórias ou independentes. A análise de dados funcionais é um tema de pesquisa recente praticado em diversas áreas do conhecimento. Na indústria, os dados funcionais aparecem no controle de qualidade. A ausência de métodos apropriados a dados funcionais pode levar ao uso de métodos ineficientes e reduzir o desempenho e a qualidade de um produto ou processo. A análise de dados funcionais através de métodos multivariados pode ser inadequada devido à alta dimensionalidade e estruturas de variância e covariância dos dados. O desenvolvimento teórico de métodos para a análise de dados funcionais na área de Engenharia da Qualidade encontra-se defasado em relação ao potencial de aplicações práticas. Este trabalho identificou a existência dos dados funcionais tratados por métodos ineficientes. Os métodos atuais para controle de qualidade de dados são adaptados a situações específicas, conforme o tipo de dado funcional e a fase do monitoramento. Este trabalho apresenta propostas para métodos de análise de dados funcionais aplicáveis a questões relevantes da área de pesquisa em Engenharia da Qualidade, tais como: (i) o uso da análise de variância em experimentos com dados funcionais; (ii) gráficos de controle para monitoramento de perfis; e (iii) a análise e seleção de perfis de fornecedores em projetos inovadores. / The dissemination of data acquisition systems on the quality and performance of products and manufacturing process has given rise to new types of data. Functional data are a collection of data points organized as a profile or curve. In profile, the quality characteristic is a function dependent on one or more exploratory or independent variables. The functional data analysis is a recent research topic practiced in various areas of knowledge. In industry, the functional data appears in quality control. The lack of suitable methods can lead to use of inefficient methods and reducing the performance and quality of a product or process. The analysis of functional data by multivariate methods may be inadequate due to the high dimensionality and variance and covariance structures of the data. The development of theoretical methods for the analysis of functional data in Quality Engineering area is lagged behind the potential for practical applications. This work identified the existence of functional data processed by inefficient methods. Current methods for data quality control are adapted to specific situations, depending on the type of functional data and the phase of monitoring. This paper presents proposals for functional data analysis methods applicable to relevant research questions in the area of Quality Engineering such as: (i) the use of analysis of variance in experiments with functional data; (ii) control charts for monitoring profiles; and (iii) the analysis and selection of supplier profiles on innovative projects.

Esta dissertação buscou identificar junto a empresas de grande porte quais os critérios de seleção de fornecedores que são considerados mais importantes quando se deseja construir relacionamentos de parceria dentro da cadeia de suprimentos. A revisão de literatura foi dividida em três grandes partes. Na primeira parte procurou-se abordar aspectos da gestão de suprimentos que são relevantes para o tema, como organização de compras, classificação de tipos de produtos e tipos de relacionamentos entre empresas, onde as características teóricas das parcerias com fornecedores foram exploradas. A segunda parte foca as características do processo de seleção de fornecedores. A terceira parte é dedicada ao estudo dos critérios encontrados na literatura para a escolha da mais adequada fonte de suprimentos. A consolidação desta parte do trabalho resultou na apresentação de uma lista com 45 critérios de seleção de fornecedores e suas respectivas definições para uniformização de abrangência e compreensão dos critérios. Com base nesta lista, a pesquisa foi conduzida na forma de estudo de casos junto às Gerências de Suprimentos de três empresas de grande porte com operações no mercado brasileiro de bens industriais e de consumo. Através de questionários e entrevistas foram identificados 17 critérios como sendo os mais importantes para o processo de seleção parceiros. A pesquisa também encontrou que os conceitos de parcerias com fornecedores são definidos pelas realidades de mercado de cada empresa e não convergem para os conceitos apresentados na literatura acadêmica. Parcerias vêm sendo definidas somente como relacionamentos de longo prazo com fornecedores em detrimento de qualquer outro atributo referenciado pela literatura acadêmica. Portanto, a utilização deste termo precisa vir precedida de uma conceituação precisa para evitar duplicidade de interpretações. / This dissertation aimed the identification of the most important supplier selection criteria used by large size companies when they want to build partnering relationships in their supply chains. The review of literature was separated in three parts. The first one concerns the supply management subjects that are relevant to the theme, such as purchase structure, product classification and sort of companies relationships, where the supplier partnerships characteristics were explored. The second part focuses the characteristics of supplier selection process. The third part is dedicated to the selection criteria found in the literature used to choose the most appropriated source of supply. The consolidation of this part resulted in the presentation of a list with 45 supplier selection criteria and their definitions to standardize the scope and comprehension. Based on this list, the research was conducted as case studies with Purchasing Managers of three large size companies that have operations in the Brazilian markets of industrial and consumer goods. Using questionnaires and interviews procedures, 17 criteria were considered the most important for the partner selection process. The research also found that the suppliers’ partnerships concepts are defined by the market realities of each company e do not converge to concepts shown in the academic literature. Partnerships has been defined only as long term relationships with suppliers rather than any other attribute mentioned in the academic literature. Therefore, before making use of the term Partnership it should be precisely defined in order to avoid misinterpretation.

This master´s thesis deals with the management of the purchasing strategy in the selected business company. This company sells products to final customers. The purpose of the thesis is to monitor purchasing processes mainly focusing on the supplier selection process. Thesis contains suggestion for a systematic selection process of prospective business partners, which is divided into four phases. Proposed suggestion contributes to higher productivity of the company´s purchasing strategy and considerably eliminates risk of high dependence on the sole supplier.

This diploma thesis deals with the selection and evaluation of suppliers in the construction industry. It is divided into a theoretical and a practical part. The theoretical part focuses on corporate purchasing, supplier selection and supplier evaluation and describes the methods that solve this problem. In the practical part, the theoretical knowledge is transferred into practice. There is a questionnaire responded to by the construction companies. Based on the results of the questionnaire, four hypotheses are compiled and tested. Three managed interviews with construction company employees are also recorded. The last part is a case study. It addresses the design of the system for the selection and evaluation of suppliers in a particular construction company.

The aim of this diploma thesis is refer to the supplier evaluation and selection process in business sphere. On the business sphere is putted emphasis because securing of company sources are more and more important parts of strategic decision making. In this paper is analyzed supplier selection problem and are analyzed most common methods to determine the best supplier. The goal of this paper is proposal of own program solution of evaluation and supplier selection build on evolution methods, specifically evolution algorithms. The part of this thesis is map of theoretical possibilities of evolution algorithms and implementation of program for solving supplier selection problem.

Many sectors and industries are being pushed by policymakers and consumers towards an industrial transformation to become more sustainable. This in order to reduce the negative impact on the environment caused by the emissions of toxic substances and greenhouse gases, as well to promote more efficient use of resources. The transport sector and specifically the automotive industry is seen as one of the main actors within the climate debate due to their high environmental impact in terms of emissions. Therefore, authorities and customers are pushing automotive manufacturers to shift towards electric mobility. However, a rapid shift is not simple. The supply of raw materials needed to sustain the production of batteries does not meet the demand. In turn, causing shortages of some materials and heavily increasing their prices. This thesis addresses the supplier selection problem within a Swedish lithium-ion battery manufacturer with clients mainly in the automotive industry. The study has analyzed a set of relevant criteria to evaluate a supplier within the high-tech industry within a specific context. Furthermore, the study has determined whether differences exist between the importance of the criteria depending on the strategic profile of the material. The strategic profile depends on the profit impact and the supply risk of the material. In order to assess the importance weights of the criteria, the analytical hierarchy process (AHP) was used and interviews were conducted with purchasing experts in the industry. This study provides a new approach to the existing literature of supplier selection, by studying this process in an industry in which it has never been done and also by assessing the supplier selection by categorizing the materials by their strategic profile, an approach that has not been studied in literature until the moment. Results show that the importance of some of the supplier selection criteria vary widely between the strategic profile of the materials, while the importance of other criteria remain the same. In addition, the study has also determined that the importance of the criteria vary also within the supplier selection process, having different importance levels at different steps. Finally, the results show that some criteria of a certain criticality represent a go-no go gate in the selection process. The conclusions are that the supplier selection process within the battery industry cannot be regarded as a homogenous process and that supplier selection criteria vary with the strategic importance of the material. Thus, suppliers must be assessed with different criteria importance weights when using a tool such as the AHP to perform supplier selection. Additionally, the critical criteria for each material must be determined prior to use the tool. / Politiker och konsumenter ställer allt högre krav på industrin att genomföra åtgärder för att bli mer hållbara, exempelvis genom att minska utsläpp av giftiga ämnen och växthusgaser samt ett mer effektivt resursanvändande. Transportsektorn och bilindustrin är särskilt utpekade inom miljödebatten på grund av deras höga miljöpåverkan och stora mängder av utsläpp. Biltillverkarna drivs därför mot en industriell omvandling där förnybara bränslen ska ersätta fossila bränslen. Övergången till eldrivna fordon är en långsam och komplicerad process där flödeskedjan för effektiv tillverkning av bilbatterier fortfarande är under utveckling. Tillgången på vissa råmaterial som behövs för produktionen av batterier räcker inte för att mätta efterfrågan vilket drar upp prisnivån. Samtidigt etablerar sig många nya leverantörer av råmaterial vars varierande kvalitet och pålitlighet skapar ytterligare utmaningar hos batteritillverkarna. Studien behandlar urvalsprocessen vid inköp av material hos en svensk litium-jonbatteritillverkare med kunder främst inom bilindustrin. Urvalskriterier för att utvärdera leverantörer inom högteknologisk industri analyserats. Därtill har det utretts om skillnader existerar mellan kriteriernas betydelse beroende på råvarornas strategiska profil. Den strategiska profilen beräknas genom dess påverkan på produktens slutkostnad tillsammans med risken för avbrott i försörjningskedjan. Metoden Analytic Hierarchy Process (AHP) används för att bedöma dessa kriteriers betydelse. Därtill har intervjuer genomförts med branch-experter för att ge fördjupad insikt i kriteriernas betydelse. Studien ger två huvudsakliga bidrag till den akademiska litteraturen. Först och främst utvärderas urvalskriterierna, som identifierats i litteraturstudien, inom en industrisektor där de inte prövats tidigare. Urvalskriterierna för leverantörsval appliceras dessutom specifikt för råmaterial av olika strategisk profil för att studera i vilken utsträckning de skiljer sig åt. Även denna ansats är tidigare oprövad inom den akademiska litteraturen. Resultaten visar att vikten av vissa kriterier varierar i hög utsträckning mellan material av olika strategisk profil, medan andra kriterier är näst intill opåverkade. Studien har dessutom fastställt att betydelsen av vissa kriterier varierar mellan olika steg i urvalsprocessen. Somliga kriterier representerar en kritisk punkt i urvalsprocessen och utesluter de leverantörer som inte kan leverera upp till en miniminivå. Studiens slutsas är att urvalsprocessen vid val av leverantör inom batteribranschen inte kan ses som en homogen process då urvalskriterierna varierar med materialets strategiska betydelse. Råmaterialens strategiska profil måste alltså tas i beaktning vid användning av ett urvalsverktyg som AHP. De kritiska kriterier som leverantören måste leva upp till måste dessutom fastställas innan verktyget kan tas i bruk.

Performance-based contracting (PBC) is an outcome-based product support strategy that provides efficient performance solutions for buyers. Suppliers under performance-based contracting are rewarded after achieving desired performance objectives. While current scholarship has deepened our knowledge of the benefits of PBC, the particular factors behind effective and efficient performance-based contracts (PBCs) are still vague. Thus, this dissertation will focus on essential dimensions for the successful PBC. There remains a great deal that is not understood about the success factors for effective PBCs. When looking at the critical criteria for the selection of suppliers in the context of PBC, even less is known. This dissertation contains three essays with the purpose of: (1) investigating the effect of supply chain collaboration and upfront investments on the benefits of the PBC; (2) exploring supplier selection criteria for successful PBC; and (3) examining the effect of contract length and fleet size on upfront investments for effective and efficient PBC. These three essays offer a solid foundation for theoretical and practitioner understanding for effective PBCs.

There have been several infamous incidences where world-renowned corporations have been caught by surprise when a low-tier downstream supplier has been publicly found to be non-compliant with basic corporate social responsibilities (CSR) codes. In such instances, the company reputation, and consequently financial health, suffer greatly. Motivated by the advances in predictive modeling, we present a predictive analytics model for detecting possible supplier deviations before they become a corporate liability. The model will be built based on publicly available data such as news and online content. We apply text mining and machine learning tools to design a corporate social responsibility "early warning system" on the upstream side of the supply chain. In our literature review we found that there is a lack of studies that focus on the social aspect of sustainability. Our research will help fill this gap by providing performance measures that can be used to build prescriptive analytics models to help in the selection of suppliers. To this end, we use the output of the predictive model to create a supplier selection optimization model that takes into account CSR compliance in global supply chain context. We propose a heuristic to solve the problem and computationally study its effectiveness as well as the impact of introducing CSR on procurement costs as well as ordering and supplier selection patterns. Our models provide analytics tools to companies to detect supplier deviance behaviour and act upon it so as to contain its impact and possible disruptions that can shake the whole supply chain. / Thesis / Master of Science (MSc)

Companies in the construction industry have a wide range of choices of suppliers for the company's needs in building materials. Local (in-state) suppliers within key southern states have issues gaining market share within the construction sectors. Construction companies often outsource their purchase of wood products from a different state or country, which adversely affects the local economy due to not purchasing from in-state or local wood product suppliers. Construction companies are often not aware of local suppliers due to lack of resources or general lack of knowledge. The primary research question of this thesis is: can construction company procurement decisions and supplier selection methods help local wood product suppliers gain more market share within the construction industry? Companies within the states of Georgia, Texas, Oklahoma, South Carolina, Florida, and Virginia were interviewed over the phone and in person to determine how the companies choose the wood product suppliers and what factors impact the purchasing decisions. Key factors included: cost, quality, delivery, flexibility, location, relationship, and payment options. A survey of construction companies was created and conducted after the interviews were concluded. Important factors highlighted by the survey responses included: cost, quality, relationship, and lead time in choosing a supplier. Suppliers were asked to differentiate their products using information the construction companies highlighted as factors they emphasized. Construction companies offered insight into how they purchase wood products, the factors they desire in their suppliers, and how often they purchase in-state. In-state wood product suppliers have an opportunity to gain market share within the construction industry using the factors those construction companies favored in interviews and survey results. / Master of Science / Companies in the construction industry have a wide range of choices of suppliers for the company's needs in building materials. Local (in-state) suppliers within key southern states have issues gaining market share within the construction sectors. Construction companies often outsource their purchase of wood products from a different state or country, which adversely affects the local economy due to not purchasing from in-state or local wood product suppliers. Companies within the states of Georgia, Texas, Oklahoma, South Carolina, Florida, and Virginia were interviewed over the phone and in person to determine how the companies choose the wood product suppliers and what factors impact the purchasing decisions. Key factors included: cost, quality, delivery, flexibility, location, relationship, and payment options. A survey of construction companies was created and conducted after the interviews were concluded. Important factors highlighted by the survey responses included: cost, quality, relationship, and lead time in choosing a supplier. Suppliers were asked to differentiate their products using information the construction companies highlighted as factors they emphasized. In-state wood product suppliers have an opportunity to gain market share within the construction industry using the factors those construction companies favored in interviews and survey results.

Purpose – The purpose of this master thesis is to explore how an e-tailer selling bulky items can use a multiple criteria ABC analysis to make its purchasing process more effective, while balancing richness and reach, with the performance measurements of profitability, total asset turnover and inventory turnover. The purpose will be accomplished through a single case study on an e-tailer active on the Swedish furniture and home furnishing market. Methodology – This thesis applies a multiple criteria ABC-analysis to a single case study. The approach is semi-deductive as theory is combined with interviews on how to match and adapt theory about inventory control and purchasing with the specific requirements of an e-tailer selling bulky items. Findings – This thesis has resulted in a set of recommendations that aim to make the purchasing process of an e-tailer more effective. That is, capital and inventory space will be better allocated to the e-tailer’s more profitable items. Among other things, this thesis shows how dead articles can be identified and how a purchaser can prioritize more profitable articles over less profitable ones when making procurement decisions. The other recommendations are for the e-tailer to investigate the possibilities of decoupling the supply chain by keeping stock at the suppliers’ premises, to match the supplier reliability with their importance in the supply chain, and lastly to explore possibilities of drop shipment. Further, the main finding is that a comparison between the A-, B-, and C-classes and the reliability of the suppliers, highlights a gap and a possible risk. Put differently, the importance of a specific item for the business should be reflected in the choice of supplier and the multiple criteria ABC analysis is the tool to illustrate the importance. Keywords – E-commerce, E-tailer, richness, reach, transaction cost, ABC analysis, multiple criteria ABC, MCABC, inventory turnover ratio, supplier selection, purchasing Paper type – Masters thesis / Syfte – Syftet med detta examensarbete är att undersöka hur en e-handelsdetaljist som säljer skrymmande artiklar kan använda en flerdimensionell ABC-analys för att göra sin inköpsprocess mer effektiv och balansera richness och reach, med mätetal som lönsamhet, kapitalomsättningshastighet och lageromsättningshastighet. Syftet kommer att uppfyllas genom en fallstudie på en e-handelsdetaljist verksam på den svenska möbel- och heminredningsmarknaden. Metod – Denna fallstudie använder sig av en flerdimensionell ABC-analys. Tillvägagångssättet är semi-deduktivt då intervjuer och teori om hur lagerstyrning och inköp kan matchas och anpassas till ett företags specifika behov. Resultat – Den här uppsatsen har resulterat i en rad åtgärder som syftar till att göra en ehandlares inköpsprocess mer effektiv. På så vis att kapital och lageryta bättre allokeras till ehandlarens lönsamma artiklar. Bland annat visar den här uppsatsen hur döda artiklar kan identifieras och hur inköparen kan prioritera mer lönsamma artiklar över olönsamma vid inköp. De andra åtgärdena handlar om att undersöka möjligheter att frikoppla försörjningskedjan genom att lagra produkter hos leverantören, att matcha leverantörernas pålitlighet och deras betydelse i försörjningskedjan, och slutligen att utforska möjligheter att utöka drop shipment. Det främsta bidraget är att eventuella felprioriteringar och risker blir tydliga genom en jämförelse mellan A-, B- och C-klasserna och leverantörernas pålitlighet. Med andra ord bör den affärsmässiga inverkan som respektive artikel har på e-handlarens resultat avspegla sig i valet av leverantör. En flerdimensionell ABC-analys kan användas för att påvisa respektive artikels affärsmässiga inverkan. Publikationstyp – Examensarbete för utbildning till civilingenjör (masteruppsats).