993 resultados para maturity assessment


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Maturity models are adopted to minimise our complexity perception over a truly complex phenomenon. In this sense, maturity models are tools that enable the assessment of the most relevant variables that impact on the outputs of a specific system. Ideally a maturity model should provide information concerning the qualitative and quantitative relationships between variables and how they affect the latent variable, that is, the maturity level. Management systems (MSs) are implemented worldwide and by an increasing number of companies. Integrated management systems (IMSs) consider the implementation of one or several MSs usually coexisting with the quality management subsystem (QMS). It is intended in this chapter to report a model based on two components that enables the assessment of the IMS maturity, considering the key process agents (KPAs) identified through a systematic literature review and the results collected from two surveys.

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The construct of maturity is often discussed in the realm of adolescent development; however, relatively little research has been devoted to developing a comprehensive, reliable, and valid measure with which to assess it. The purpose of this study was to investigate the concurrent validity of the Montana Adolescent Maturity Assessment - III (MAMA-III), a proxy measure completed by clinicians regarding an adolescent's functioning, with the immaturity scale (IMM) of the MMPI-A. To provide more specified results, a factor analysis of the IMM was undertaken. Results yielded a low but significant correlation between the MAMA-III and the IMM, as well as significant convergent correlations between individual factors of the MAMA and IMM scales. Correlations among the MAMA-III factors, the IMM factors, and the ten clinical scales of the MMPI-A were also analyzed with the goal of better understanding what each measures. Implications are discussed regarding the clinical distinctions between the two measures, and the prospect of a more comprehensive understanding of the construct of maturity.

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Purpose: The range of variability between individuals of the same chronological age (CA) in somatic and biological maturity is large and especially accentuated around the adolescent growth spurt. Maturity assessment is an important consideration when dealing with adolescents, from both a research perspective and youth sports stratification. A noninvasive, practical method predicting years from peak height velocity (a maturity offset value) by using anthropometric variables is developed in one sample and cross-validated in two different samples. Methods: Gender specific multiple regression equations were calculated on a sample of 152 Canadian children aged 8-16 yr (79 boys; 73 girls) who were followed through adolescence from 1991 to 1997, The equations included three somatic dimensions (height, sitting height, and leg length), CA, and their interactions. The equations were cross-validated on a Combined sample of Canadian (71 boys, 40 girls measured from 1964 through 1973) and Flemish children (50 boys, 48 girls measured from 1985 through 1999). Results: The coefficient of determination (R2) for the boys' model was 0.92 and for the girls' model 0.91 the SEEs were 0.49 and 0.50, respectively, Mean difference between actual and predicted maturity offset for the verification samples was 0.24 (SD 0.65) yr in boys and 0,001 (SD 0.68) yr in girls. Conclusion: Although the cross-validation meets statistical standards or acceptance, caution 1, warranted with regard to implementation. It is recommended that maturity offset be considered as a categorical rather than a continuous assessment. Nevertheless, the equations presented are a reliable, noninvasive and a practical solution for the measure of biological maturity for matching adolescent athletes.

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Data is the most important asset of a company in the information age. Other assets, such as technology, facilities or products can be copied or reverse-engineered, employees can be brought over, but data remains unique to every company. As data management topics are slowly moving from unknown unknowns to known unknowns, tools to evaluate and manage data properly are developed and refined. Many projects are in progress today to develop various maturity models for evaluating information and data management practices. These maturity models come in many shapes and sizes: from short and concise ones meant for a quick assessment, to complex ones that call for an expert assessment by experienced consultants. In this paper several of them, made not only by external inter-organizational groups and authors, but also developed internally at a Major Energy Provider Company (MEPC) are juxtaposed and thoroughly analyzed. Apart from analyzing the available maturity models related to Data Management, this paper also selects the one with the most merit and describes and analyzes using it to perform a maturity assessment in MEPC. The utility of maturity models is two-fold: descriptive and prescriptive. Besides recording the current state of Data Management practices maturity by performing the assessments, this maturity model is also used to chart the way forward. Thus, after the current situation is presented, analysis and recommendations on how to improve it based on the definitions of higher levels of maturity are given. Generally, the main trend observed was the widening of the Data Management field to include more business and “soft” areas (as opposed to technical ones) and the change of focus towards business value of data, while assuming that the underlying IT systems for managing data are “ideal”, that is, left to the purely technical disciplines to design and maintain. This trend is not only present in Data Management but in other technological areas as well, where more and more attention is given to innovative use of technology, while acknowledging that the strategic importance of IT as such is diminishing.

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This paper introduces a framework that supports users to implement enterprise modelling within collaborative companies. These enterprise models are the basis for a holistic interoperability measurement and management methodology which will be presented in the second part of the paper. The discipline of enterprise modelling aims at capturing all dimensions of an enterprise in a simplified model. Thus enterprise models are the appropriate basis for managing collaborative enterprise as they reduce the complexity of interoperability problems. Therefore, a first objective of this paper is to present an approach that enables companies to get the most effect out of enterprise modelling in a collaborative environment based on the maturity of their organisation relative to modelling. Within this first step, the user will get recommendations e.g. for the correct modelling language as well as the right level of detail.

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The current study presents data on age and growth for plaice (Pleuronectes platessa L.) sampled between November 2003 and February 2005 in ICES areas Via (northwest coast of Ireland), Vila (Irish Sea), Vllg (Celtic Sea), VDj (southwest coast of Ireland) and VHb (west coast of Ireland), and data on the reproductive biology and maturity of plaice in ICES area Vllb (west coast of Ireland). This is the first detailed account of the biology of plaice for some of these areas. It is intended that this study will improve understanding of the life cycle of plaice and help fisheries scientists to better predict the effect of fishing effort on Irish plaice stocks. The overall length range found for plaice was 9-51.99cm TL, with a length range of 9-5 lcm TL for females and 9-40cm for males. In all ICES areas the length range for female fish was larger than for male fish. The age range of plaice sampled during this study was 1 to 16 years. In all ICES areas females had a greater range in ages and fish in the larger age groups. From analysis of length and age data it was concluded that there was a significant difference (P=0.000) in growth rate of males and females between ICES areas sampled in March 2004. The highest rate of fishing mortality was determined for ICES area Via (F=1.06) and the lowest for ICES area Vila (F=0.56). In each ICES area male and female plaice have fully recruited to the population by age 4, with the exception of females in ICES area Via, for which a tr value of 5 years was determined. Length at first maturity (L50%) was determined to be 23cm and 21cm for males and females respectively. Age at first maturity (A50%) was determined to be 3 years for both males and females. It was found that males and females in ICES areas Vllb, Vila and Via are well above the length and age at first maturity when they are recruited to the fishery. In ICES area Vllb female plaice spawn from November to March, with peak spawning occurring in February, and male plaice spawn from November to April, with peak spawning occurring in November. Spawning females had an age range of 2 to 10 years and spawning males had an age range of 2 to 7 years. From the oocyte length frequency distributions, it was determined that the plaice is a determinate batch spawner. During this investigation a total of 177 ovaries and 127 testes were staged using both macroscopic and histological criteria. The overall percentage of maturity stages which compared favorably between the two assessment methods was 22.03% for female plaice and 37.80% for male plaice. In general, the findings of this study indicate that there was a very poor match between the macroscopic and histological assessment methods. Given that the histological determination of these stages is based on the observation of a distinct set of developmental features, it is expected that it would be more accurate to use histologically assessed gonads to calculate the annual percentage maturity assessment. The biology of plaice in the areas studied is compared with previous studies of plaice in Irish and European waters.

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Tutkimus on tehty Tekesin DTP-ohjelman Sinfonet-tutkimusprojektin puitteissa aikavälillä 2009-2011. Työssä on laadittu kokonaisvaltainen tuote- ja elinkaaritiedon hallinnan (eng. Product Lifecycle Management, PLM) tiekartta ja kehityssuunnitelma pienelle engineering-yritykselle. Työ käsittelee asiakkaan erikoisvaatimusten mukaan räätälöitävän tuotteen tuote- ja elinkaaritiedon hallinnan systematisointia pk-yrityksessä. Vaikka PLM-tiekartta on laadittu yksittäiselle yritykselle, sitä voidaan tietyin edellytyksin soveltaa myös toisten pk-yritysten tai engineeringyritysten PLM:n kehittämiseen. Teoriassa tarkastellaan ensinnäkin kohdeyritykseen liittyviä erityispiirteitä, pyritään ymmärtämään engineering–yrityksen ja pk-yrityksen erikoispiirteitä sekä niiden vaikutusta PLM:n kehittämiseen. Toiseksi esitellään PLM:n viittä keskeistä osaaluetta, yksi- ja viisiulotteisten PLM-kypsyysmallien käyttöä yrityksen nykytilan arvioimiseksi sekä rakennetaan engineering-yrityksen kokonaisvaltainen PLM-malli ja kahdeksan askeleen PLM-kehityspolku. PLM-malli jäsentää tiedonhallintaa prosessien kautta ja se koostuu viidestä osaalueesta: strategia identifioi asiakastarpeet sekä määrittelee kuinka tuotteiden ja prosessien avulla asiakastarpeet tyydytetään; prosessit ovat yrityksen toiminnan ydin, joissa tuotemallit ja tuote- ja tietorakenteet kehitetään sekä tuoteyksilöt toimitetaan asiakkaalle; rakenteet pohjautuvat strategiassa valittuun tuote- ja tiedonhallinnan strategiaan ja niiden tehtävänä on tukea ja tehostaa toimintaprosesseja; kulttuuri ja ihmiset muodostavat aineettoman pääoman, jonka vaikutuksesta prosessit toimivat ja tuotteet pystytään toimittamaan asiakkaalle; informaatioteknologia on työkalu, jota käytetään prosesseissa ja tietorakenteiden ylläpidossa, pääosin dokumentoidun tiedon luomiseen, hankitaan, varastoimiseen, jakamiseen ja soveltamiseen. Tapaustutkimuksessa kuvataan kohdeyrityksen nykytilaa PLM:n viidellä keskeisellä osa-alueella, tehdään PLM kypsyysarvio kahdella menetelmällä, määritellään yrityksen tavoitetila ja laaditaan yritykselle ensin alustava PLM roadmap ja lopulta kokonaisvaltaiseen PLM-malliin perustuva PLM roadmap ja PLM:n jatkokehityssuunnitelma.

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In recent years, chief information officers (CIOs) around the world have identified Business Intelligence (BI) as their top priority and as the best way to enhance their enterprises competitiveness. Yet, many enterprises are struggling to realize the business value that BI promises. This discrepancy causes important questions, for example: what are the critical success factors of Business Intelligence and, more importantly, how it can be ensured that a Business Intelligence program enhances enterprises competitiveness. The main objective of the study is to find out how it can be ensured that a BI program meets its goals in providing competitive advantage to an enterprise. The objective is approached with a literature review and a qualitative case study. For the literature review the main objective populates three research questions (RQs); RQ1: What is Business Intelligence and why is it important for modern enterprises? RQ2: What are the critical success factors of Business Intelligence programs? RQ3: How it can be ensured that CSFs are met? The qualitative case study covers the BI program of a Finnish global manufacturer company. The research questions for the case study are as follows; RQ4: What is the current state of the case company’s BI program and what are the key areas for improvement? RQ5: In what ways the case company’s Business Intelligence program could be improved? The case company’s BI program is researched using the following methods; action research, semi-structured interviews, maturity assessment and benchmarking. The literature review shows that Business Intelligence is a technology-based information process that contains a series of systematic activities, which are driven by the specific information needs of decision-makers. The objective of BI is to provide accurate, timely, fact-based information, which enables taking actions that lead to achieving competitive advantage. There are many reasons for the importance of Business Intelligence, two of the most important being; 1) It helps to bridge the gap between an enterprise’s current and its desired performance, and 2) It helps enterprises to be in alignment with key performance indicators meaning it helps an enterprise to align towards its key objectives. The literature review also shows that there are known critical success factors (CSFs) for Business Intelligence programs which have to be met if the above mentioned value is wanted to be achieved, for example; committed management support and sponsorship, business-driven development approach and sustainable data quality. The literature review shows that the most common challenges are related to these CSFs and, more importantly, that overcoming these challenges requires a more comprehensive form of BI, called Enterprise Performance Management (EPM). EPM links measurement to strategy by focusing on what is measured and why. The case study shows that many of the challenges faced in the case company’s BI program are related to the above-mentioned CSFs. The main challenges are; lack of support and sponsorship from business, lack of visibility to overall business performance, lack of rigid BI development process, lack of clear purpose for the BI program and poor data quality. To overcome these challenges the case company should define and design an enterprise metrics framework, make sure that BI development requirements are gathered and prioritized by business, focus on data quality and ownership, and finally define clear goals for the BI program and then support and sponsor these goals.

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Since Demirjian's system of estimating dental maturity was first described, many researchers from different countries have tested its accuracy among diverse populations. Some of these studies have pointed out a need to determine population-specific standards. In Brazil, the Northeast region is the one that most suffers the negative impact of exodus, specially related to the increase of abandoned children in the cities. The aim of this study was to test the accuracy of Demirjian's system for assessing the dental maturity of northeastern Brazilian children, so as to present a scale for maturity score conversion into dental age developed specifically for this population. This could be used for forensic, anthropological and legal matters, and also as a model for other countries attempting to formulate their own conversion scales. Panoramic radiographs of 1,491 children (821 females and 670 males), aged 7 to 13 years, from Ceará state, northeast Brazil, were assessed by a single observer to determine dental age (DA) according to Demirjian's system. The mean percentage of intra-observer agreement was 86.6%, with a mean Cohen's Kappa coefficient of 0.67 (substantial agreement). The DA was compared by paired t-test to subjects' chronological age (CA). The differences between CA and DA in all age groups were statistically significant (p<0.0001), demonstrating a great advancement in DA among Brazilians. Scatter plots were drawn for both genders, and the data were fitted to a growth curve, y = 100/ (1 + e-a(x b)). Graphs corresponding to the 50th percentile curves were produced. A table with new values for the conversion of maturity score into dental age for northeastern Brazilian children is presented. The great advancement in DA, as obtained by Demirjian's system in this population, justified the determination of specific scores for dental maturity assessment

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This paperwork attempts to measure the project management maturity in the State Department of Taxation in Rio Grande do Norte. Project management has shown to be a critical component to any organization success, as the projects are directly related to a set of activities resulting into organizational innovations such as products, services and processes; and its improvement is directly aligned with the strategic management. Methodologically, this paperwork uses both a quantitative and qualitative approach that will be applied to the coordinators, sub-coordinators, and directors of the Regional Offices of the State Department of Taxation. In the theoretical reference it is about the public management and analyzes the strategic management in contemporary public administration. Presents the maturity in project management is by discussing the main models: CMM, Capability Maturity Model; PMMM, Project Management Maturity Model; OPM3, Organization Project Maturity Model and the Prado-MMGP, Modelo de Maturidade em Gerenciamento de Projetos. From this analysis, considering attributes as an aid in taking strategic positioning, access to the model, possibility of benchmarking and continuous improvement, the Prado-MMGP model was the most appropriate for this research process. It has been proved that the State Department of Taxation shows a very low project management maturity level. Regarding the acceptance of the maturity dimensions by the State Department, it is still in an early developmental stage, as one of the dimensions showed a poor performance while the rest showed a regular one. In contrast with similar organizations, the maturity results have shown to be below the national average. The maturity assessment enables in the institution the implementation of a plan for institutional growth with the creation of sector strategic and project management

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

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Tese (doutorado)—Universidade de Brasília, Faculdade de Tecnologia, Departamento de Engenharia Elétrica, 2015.

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Introdução O zinco é um importante elemento traço que auxilia na capacidade antioxidante, além de participar da maturação biológica. Em atletas, a suplementação de zinco tem efeito positivo nos parâmetros hematológicos e pode melhorar o rendimento esportivo. Sua deficiência é comumente observada nesses grupo e pode estar associada à diminuição da força física assim como da massa corporal, além de ter efeito significativo no crescimento. Assim os objetivos do presente estudo foram: comparar os métodos de avaliação da maturidade biológica e suas relações com variáveis antropométricas e de rendimento físico de acordo com o estado de zinco em jovens jogadores de futebol; comparar diferentes métodos de avaliação da composição corporal em jovens jogadores de futebol esratificados de acordo com os níveis plasmáticos de zinco e investigar o efeito do zinco suplementar na maturação biológica, no crescimento, na composição corporal e na força muscular de jogadores de futebol púberes do sexo masculino. Materiais e métodos Foram avaliados em dois momentos 48 jovens do sexo masculino (13±1 anos, massa corporal de 48±10kg, estatura de 160±10cm e zinco plasmático de 12,1±2,2 μmol/L). Todos eram jogadores de futebol de um tradicional clube do Rio de Janeiro e foram divididos aleatoriamente em dois grupos. Durante 12 semanas o grupo placebo (n=28) recebeu cápsulas de amido de milho e o grupo suplementado (n=20) recebeu cápsulas de gluconato de Zn (22mg/dia). O valor de 11,0 μmol/L foi considerado como ponto de corte para classificação dos jovens em normozincêmicos ou hipozincêmicos. No início da manhã, após jejum noturno, foram coletados sangue e urina para determinação da concentração de zinco. A massa corporal, alturas (do vértex, acromial, dactiloidal, iliocristal, trocantérica e sentado), composição corporal, força e maturidade esquelética (TW3) também foram determinadas por metodologias validadas. Resultados As comparações entre as categorias maturacionais definidas por cada método de avaliação mostraram que a idade óssea foi o único método que permitiu a identificação de diferenças entre as três categorias, em ao menos duas variáeis relacionadas ao rendimento (massa livre de gordura (MLG) e força na mão dominante (FMD) – p<0,0001). O método da pilosidade axilar foi capaz de discriminar apenas para a FMD (p<0,0001). Embora tenha fornecido quatro categorias maturacionais, o método por dosagem da testosterona não possibilitou a identificação de diferenças entre as categorias relativas a MLG, a FMD e as dobras cutâneas(DC). Quando observamos os métodos de avaliação da composição corporal não foram identificadas diferenças sigificativas entre os grupos hipozincêmico e normozincêmico no percentagem de gordura(PG) nem na MLG obtidas através dos métodos da absortometria de dupla energia (DXA) (p=0,06076 e p=0,5638 respectivamente), das DC (p=0,6840 and 0,5087) e através da bioimpedância elétrica (BIA) (p=0,3475 and p=0,3475). Entre os diferentes métodos também não foi encontrada diferenças significativas (PG: p=0,1272 e p=0,3231 - MLG: p=0,9229 and p=0,8933 para os grupos hipozincêmico e normozincêmico, respectivamente). As correlações entre os métodos foram significativas (PG: r= 0,3414 a 0,9765 e p<0,0001 a 0,0133 - MLG: r=0,9533 a 0,9998 e p<0,0001). Fortes coeficientes de determinação foram obtidos nas regressões múltiplas dos valores do DXA com a equação de Slaughter na estimativa da PG (r=0,86; r2=0,928 e SEE=2,37%) e ainda maiores para MLG (r=0,98; r2=0,990 e SEE=1,18kg). Valores menores foram encontrados para as outras equações com DC e para BIA. Ao analisar os efeitos da suplementação de zinco sobre o crescimento, a maturação, a composição corporal e a força, observou-se que somente as alterações ocorridas nos indicadores de crescimento foram significativas (p=0,0312), sendo que todas as demais não foram significativas - idade óssea (p=0,1391), massa livre de gordura (p=0,0593), percentual de massa gorda (p=0,2212) e força na mão dominante (p=0,6569). Conclusões Observando diferentes métodos de avaliação da maturidade biológica e as categorias por eles definidas, o método da idade óssea (IO) mostrou ser melhor, visto que ele permitiu identificar diferenças entre as três categorias possíveis, nas variáveis MLG e FMD, ao contrário dos outros métodos. Para a avaliação da composição corporal, os métodos baseados nas DC foram melhores que BIA, quando DXA não estiver disponível. A comparação entre os métodos baseados nas DC mostrou que a melhor associação foi obtida com a equação de Slaughter, seguida pela equação de Lohman com a utilização da IO ao invés da idade cronológica. Os níveis de zinco plasmático parecem não serem influenciados pela composição corporal, o que certamente justifica mais estudos. Os resultados da análise dos efeitos da suplementação de zinco no crescimento, na maturação, na composição corporal e na força, nos levam a concluir que o crescimento teve alteração positiva significativa e que os valores das demais variáveis estudadas (maturação, composição corporal e força muscular) não sofreram alterações significativas relacionadas à suplementação de zinco nos jovens jogadores de futebol do sexo masculino, na faixa etária dos 12 aos 14 anos.

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After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, the data in enterprise systems is scattered and inconsistent. Global organizations face the challenge of addressing local uses of shared business entities, such as customer and material, and at the same time have a consistent, unique, and consolidate view of financial indicators. In addition, current enterprise systems do not accommodate the pace of organizational changes and immense efforts are required to maintain data. When it comes to systems integration, ERPs are considered “closed” and expensive. Data structures are complex and the “out-of-the-box” integration options offered are not based on industry standards. Therefore expensive and time-consuming projects are undertaken in order to have required data flowing according to business processes needs. Master Data Management (MDM) emerges as one discipline focused on ensuring long-term data consistency. Presented as a technology-enabled business discipline, it emphasizes business process and governance to model and maintain the data related to key business entities. There are immense technical and organizational challenges to accomplish the “single version of the truth” MDM mantra. Adding one central repository of master data might prove unfeasible in a few scenarios, thus an incremental approach is recommended, starting from areas most critically affected by data issues. This research aims at understanding the current literature on MDM and contrasting it with views from professionals. The data collected from interviews revealed details on the complexities of data structures and data management practices in global organizations, reinforcing the call for more in-depth research on organizational aspects of MDM. The most difficult piece of master data to manage is the “local” part, the attributes related to the sourcing and storing of materials in one particular warehouse in The Netherlands or a complex set of pricing rules for a subsidiary of a customer in Brazil. From a practical perspective, this research evaluates one MDM solution under development at a Finnish IT solution-provider. By means of applying an existing assessment method, the research attempts at providing the company with one possible tool to evaluate its product from a vendor-agnostics perspective.

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To describe the change of purchasing moving from administrative to strategic function academics have put forward maturity models which help practitioners to compare their purchasing activities to industry top performers and best practices. However, none of the models aim to distinguish the purchasing maturity from the after-sales point of view, even though after-sales activities are acknowledged as a relevant source of revenue, profit and competitive advantage in most manufacturing firms. The maturity of purchasing and supply management practices have a large impact to the overall performance of the spare parts supply chain and ultimately to the value creation and relationship building for the end customer. The research was done as a case study for a European after-sales organization which is part of a globally operating industrial firm specialized in heavy machinery. The study mapped the current state of the purchasing practices in the case organization and also distinguished the relevant areas for future development. The study was based on the purchasing maturity model developed by Schiele (2007) and investigated also how applicable is the maturity model in the spare parts supply chain context. Data for the assessment was gathered using five expert interviews inside the case organization and other parties involved in the company’s spare parts supply chain. Inventory management dimension was added to the original maturity model in order to better capture the important areas in a spare parts supply chain. The added five questions were deduced from the spare parts management literature and verified as relevant areas by the case organization’s personnel. Results indicate that largest need for development in the case organization are: better collaboration between sourcing and operative procurement functions, use of installed base information in the spare parts management, training plan development for new buyers, assessment of aligned KPI’s between the supply chain parties and better defining the role of after-sales sourcing. The purchasing maturity model used in this research worked well in H&R Leading, Controlling and Inventory Management dimensions. The assessment was more difficult to conduct in the Supplier related processes, Process integration and Organizational structure –dimensions, mainly because the assessment in these sections would for some parts require more company-wide assessment. Results indicate also that the purchasing maturity model developed by Schiele (2007) captures the relevant areas in the spare parts supply as well.