877 resultados para inverse demand
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Objectives: To assess the difference in direct medical costs between on-demand (OD) treatment with esomeprazole (E) 20 mg and continuous (C) treatment with E 20 mg q.d. from a clinical practice view in patients with gastroesophageal reflux disease (GERD) symptoms. Methods: This open, randomized study (ONE: on-demand Nexium evaluation) compared two long-term management options with E 20 mg in endoscopically uninvestigated patients seeking primary care for GERD symptoms who demonstrated complete relief of symptoms after an initial treatment of 4 weeks with E 40 mg. Data on consumed quantities of all cost items were collected in the study, while data on prices during the time of study were collected separately. The analysis was done from a societal perspective. Results: Forty-nine percent (484 of 991) of patients randomized to the OD regimen and 46% (420 of 913) of the patients in the C group had at least one contact with the investigator that would have occurred nonprotocol-driven. The difference of the adjusted mean direct medical costs between the treatment groups was CHF 88.72 (95% confidence interval: CHF 41.34-153.95) in favor of the OD treatment strategy (Wilcoxon rank-sum test: P < 0.0001). Adjusted direct nonmedical costs and productivity loss were similar in both groups. Conclusions: The adjusted direct medical costs of a 6-month OD treatment with esomeprazole 20 mg in uninvestigated patients with symptoms of GERD were significantly lower compared with a continuous treatment with E 20 mg once a day. The OD therapy represents a cost-saving alternative to the continuous treatment strategy with E.
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L'insuline, produite par les cellules β du pancréas, joue un rôle central dans le contrôle de la glycémie. Un manque d'insuline entraine le diabète de type 2, une maladie répandue au stade d'épidémie au niveau mondial. L'augmentation du nombre de personnes obèses est une des causes principales du développement de la maladie. Avec l'obésité les tissus tels que le foie, le muscle, et le tissu adipeux deviennent résistants à l'insuline. En général, cette résistance est équilibrée par une augmentation de la sécrétion d'insuline. De ce fait, un grand nombre d'individus obèses ne deviennent pas diabétiques. Lorsque les cellules β ne produisent plus suffisamment d'insuline, alors le diabète se développe. Dans l'obésité, les cellules graisseuses sont résistantes à l'insuline et relâchent des lipides et autres produits qui affectent le bon fonctionnement et la vie des cellules β. «c-Jun Ν terminal Kinase» (JNK) est une enzyme qui joue un rôle important dans la résistance de l'insuline des cellules graisseuses. Cette même en2yme contribue aussi au déclin de la cellule β dans les conditions diabétogènes, et représente ainsi une cible thérapeutique potentielle du diabète. L'objectif de cette thèse a été de comprendre le mécanisme conduisant à l'activité de JNK dans les adipocytes et cellules β, dans l'obésité et le diabète de type 2. Nous montrons que les variations de JNK sont la conséquence de taux anormaux de JIP-1/EB1, une protéine qui a été impliquée dans certaines formes génétiques de diabète de type 2. En outre nous décrivons le mécanisme responsable des anomalies de JIP1/IB1 dans les adipocytes et cellules β. La restauration des taux de JIP-1/EB1 dans les deux types cellulaires pourrait être un objectif des thérapeutiques antidiabétiques actuelles et futures. - Le nombre d'individus touchés par le diabète de type 2 atteint aujourd'hui des proportions épidémiques à l'échelle mondiale. L'augmentation de la prévalence de l'obésité est la cause principale du développement de la maladie, qui, en général, survient suite à une perte de la sensibilité à l'insuline des tissus périphériques. Dans un grand nombre des cas, l'insulino-résistance est compensée par une augmentation de la sécrétion de l'insuline par les cellules β pancréatiques. Le diabète apparaît lorsque l'insuline n'est plus produite en quantité suffisante pour contrecarrer la résistance à l'insuline des tissus. Le défaut de production de l'insuline résulte du dysfonctionnement et de la réduction massive des cellules β. Les acides gras libres non estérifiés, en particulier le palmitate, provenant d'une alimentation riche en lipides et libérés par les adipocytes insulino-résistants contribuent au déclin de la cellule β en activant la voie de signalisation «cJun N-terminal kinase» (JNK). L'activation de JNK contribue aussi à la résistance à l'insuline des adipocytes dans l'obésité, soulignant ainsi l'importance de cette voie de signalisation dans la pathophysiologie du diabète. L'objectif de cette thèse a été de comprendre les mécanismes qui régulent JNK dans les cellules β et les adipocytes. Nous montrons que l'activation de JNK dans ces deux types cellulaires est la conséquence de la variation des taux de «JNK interacting protein 1» appelé aussi «islet brain 1» (JEP-1/ΓΒΙ), une protéine qui attache les kinases de la signalisation de JNK et dont des variations génétiques ont été associées avec le diabète de type 2. Dans les cellules β cultivées avec du palmitate, ainsi que dans les adipocytes dans l'obésité, l'expression de JEP-l/BBl est modifiée. Les modulations de l'expression de JEP-1/ΓΒΙ sont réalisées par le facteur de transcription «inducible cAMP early repressor» (ICER). L'expression d'ICER dans les adipocytes est diminuée dans l'obésité, et corrèle avec l'augmentation des niveaux de JEP-1/IB1. A l'inverse, le niveau d'expression d'ICER est augmenté dans les cellules β cultivées avec du palmitate, et cette augmentation perturbe le bon fonctionnement des cellules en réduisant les niveaux de JEP-l/IBl. Comme le palmitate, les particules pro-athérogéniques LDL-cholesterol oxydés, sont élevées chez les personnes obèses et diabétiques et sont délétères aux cellules β. Ces particules modifiées activent JNK dans les cellules β en diminuant l'expression de JIP-1/IB1 via ICER. Tous ces résultats montrent que le dérèglement de l'expression de JIP-l/EBl par ICER joue un rôle central dans l'activation de JNK dans les adipocytes et cellules β en souffrance dans l'obésité et le diabète de type 2. La restauration appropriée des niveaux de JEPl/IBl et d'ICER pourrait être considérée comme un objectif pour mesurer l'efficacité des traitements antidiabétiques actuels et futurs. - Type 2 diabetes has reached epidemic proportions worldwide, and poses a major socio-economic burden on developed and developing societies. The disease is often accompanied by obesity, and arises when β-cells produce insufficient insulin to meet the increased hormone demand, caused by insulin resistance. In obesity, enlargement of adipocytes contribute to their dysfunction, which is characterized by the abnormal release of some bioactive products such as non-esterified free fatty acids (NEF As). Chronic plasma elevation of NEF As elicits β-cell dysfunction and death, thereby, representing a key feature for development of diabetes in obesity (diabesity). Palmitate is the most abundant circulating NEF As in obesity, which triggers adipocytes and β-cell dysfunction. The effects of palmitate rely on the induction of the cJun N-terminal kinase (JNK) pathway. Activation of JNK promotes both β-cells dysfunction and insulin resistance in adipocytes. This thesis was undertaken to investigate the mechanisms accounting for the induction of the JNK pathway caused by palmitate. JNK is regulated by the scaffold protein JNK interacting protein-1, also called islet brain 1 (JIP-1/IB1). The levels of JDM/IB1 are critical for glucose homeostasis, as genetic variations within the gene were associated with diabetes. We found that activation of JNK in both, β-cells exposed to palmitate, and in adipocytes of obese mice, results from variations in the expression of JIP-l/EBl. Modifications in the JIP-1/IB1 levels were the consequence of abnormal expression of the inducible cAMP early repressor (ICER) in the two cell types. In addition, our data show that this repressor plays a key role in abnormal production of adipocyte hormones and β-cell dysfunction evoked by the pro-atherogenic oxidized LDL. Taken together, this study proposes that fine-tuning of appropriate levels of JIP-l/EBl, and ICER could circumvent β-cell failure, adipocyte dysfunction, and thereby, development of diabesity.
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In this thesis, I develop analytical models to price the value of supply chain investments under demand uncer¬tainty. This thesis includes three self-contained papers. In the first paper, we investigate the value of lead-time reduction under the risk of sudden and abnormal changes in demand forecasts. We first consider the risk of a complete and permanent loss of demand. We then provide a more general jump-diffusion model, where we add a compound Poisson process to a constant-volatility demand process to explore the impact of sudden changes in demand forecasts on the value of lead-time reduction. We use an Edgeworth series expansion to divide the lead-time cost into that arising from constant instantaneous volatility, and that arising from the risk of jumps. We show that the value of lead-time reduction increases substantially in the intensity and/or the magnitude of jumps. In the second paper, we analyze the value of quantity flexibility in the presence of supply-chain dis- intermediation problems. We use the multiplicative martingale model and the "contracts as reference points" theory to capture both positive and negative effects of quantity flexibility for the downstream level in a supply chain. We show that lead-time reduction reduces both supply-chain disintermediation problems and supply- demand mismatches. We furthermore analyze the impact of the supplier's cost structure on the profitability of quantity-flexibility contracts. When the supplier's initial investment cost is relatively low, supply-chain disin¬termediation risk becomes less important, and hence the contract becomes more profitable for the retailer. We also find that the supply-chain efficiency increases substantially with the supplier's ability to disintermediate the chain when the initial investment cost is relatively high. In the third paper, we investigate the value of dual sourcing for the products with heavy-tailed demand distributions. We apply extreme-value theory and analyze the effects of tail heaviness of demand distribution on the optimal dual-sourcing strategy. We find that the effects of tail heaviness depend on the characteristics of demand and profit parameters. When both the profit margin of the product and the cost differential between the suppliers are relatively high, it is optimal to buffer the mismatch risk by increasing both the inventory level and the responsive capacity as demand uncertainty increases. In that case, however, both the optimal inventory level and the optimal responsive capacity decrease as the tail of demand becomes heavier. When the profit margin of the product is relatively high, and the cost differential between the suppliers is relatively low, it is optimal to buffer the mismatch risk by increasing the responsive capacity and reducing the inventory level as the demand uncertainty increases. In that case, how¬ever, it is optimal to buffer with more inventory and less capacity as the tail of demand becomes heavier. We also show that the optimal responsive capacity is higher for the products with heavier tails when the fill rate is extremely high.
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This paper describes the state of the art of secure ad hoc routing protocols and presents SEDYMO, a mechanism to secure a dynamic multihop ad hoc routing protocol. The proposed solution defeats internal and external attacks usinga trustworthiness model based on a distributed certification authority. Digital signatures and hash chains are used to ensure the correctness of the protocol. The protocol is compared with other alternatives in terms of security strength, energy efficiency and time delay. Both computational and transmission costs are considered and it is shown that the secure protocol overhead is not a critical factor compared to the high network interface cost.
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The inversion problem concerning the windowed Fourier transform is considered. It is shown that, out of the infinite solutions that the problem admits, the windowed Fourier transform is the "optimal" solution according to a maximum-entropy selection criterion.
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The continuous wavelet transform is obtained as a maximumentropy solution of the corresponding inverse problem. It is well knownthat although a signal can be reconstructed from its wavelet transform,the expansion is not unique due to the redundancy of continuous wavelets.Hence, the inverse problem has no unique solution. If we want to recognizeone solution as "optimal", then an appropriate decision criterion hasto be adopted. We show here that the continuous wavelet transform is an"optimal" solution in a maximum entropy sense.
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A regularization method based on the non-extensive maximum entropy principle is devised. Special emphasis is given to the q=1/2 case. We show that, when the residual principle is considered as constraint, the q=1/2 generalized distribution of Tsallis yields a regularized solution for bad-conditioned problems. The so devised regularized distribution is endowed with a component which corresponds to the well known regularized solution of Tikhonov (1977).
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A maximum entropy statistical treatment of an inverse problem concerning frame theory is presented. The problem arises from the fact that a frame is an overcomplete set of vectors that defines a mapping with no unique inverse. Although any vector in the concomitant space can be expressed as a linear combination of frame elements, the coefficients of the expansion are not unique. Frame theory guarantees the existence of a set of coefficients which is “optimal” in a minimum norm sense. We show here that these coefficients are also “optimal” from a maximum entropy viewpoint.
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The increasing interest aroused by more advanced forecasting techniques, together with the requirement for more accurate forecasts of tourismdemand at the destination level due to the constant growth of world tourism, has lead us to evaluate the forecasting performance of neural modelling relative to that of time seriesmethods at a regional level. Seasonality and volatility are important features of tourism data, which makes it a particularly favourable context in which to compare the forecasting performance of linear models to that of nonlinear alternative approaches. Pre-processed official statistical data of overnight stays and tourist arrivals fromall the different countries of origin to Catalonia from 2001 to 2009 is used in the study. When comparing the forecasting accuracy of the different techniques for different time horizons, autoregressive integrated moving average models outperform self-exciting threshold autoregressions and artificial neural network models, especially for shorter horizons. These results suggest that the there is a trade-off between the degree of pre-processing and the accuracy of the forecasts obtained with neural networks, which are more suitable in the presence of nonlinearity in the data. In spite of the significant differences between countries, which can be explained by different patterns of consumer behaviour,we also find that forecasts of tourist arrivals aremore accurate than forecasts of overnight stays.
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Spain’s transport infrastructure policy has become a paradigmatic case of oversupply and of mismatch with demand. The massive expansion of the country’s transport infrastructure over the last decade has not been a response to demand bottlenecks or previously identified needs. For this reason, the intensity of use today on all interurban modes of transport in Spain falls well below that of other EU countries. This paper analyzes the institutional and regulatory factors that have permitted this policy, allowing us to draw lessons from the Spanish case that should help other countries avoid the pitfalls and shortcomings of Spanish policy.
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Spain’s transport infrastructure policy has become a paradigmatic case of oversupply and of mismatch with demand. The massive expansion of the country’s transport infrastructure over the last decade has not been a response to demand bottlenecks or previously identified needs. For this reason, the intensity of use today on all interurban modes of transport in Spain falls well below that of other EU countries. This paper analyzes the institutional and regulatory factors that have permitted this policy, allowing us to draw lessons from the Spanish case that should help other countries avoid the pitfalls and shortcomings of Spanish policy.
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The hydrological and biogeochemical processes that operate in catchments influence the ecological quality of freshwater systems through delivery of fine sediment, nutrients and organic matter. Most models that seek to characterise the delivery of diffuse pollutants from land to water are reductionist. The multitude of processes that are parameterised in such models to ensure generic applicability make them complex and difficult to test on available data. Here, we outline an alternative - data-driven - inverse approach. We apply SCIMAP, a parsimonious risk based model that has an explicit treatment of hydrological connectivity. we take a Bayesian approach to the inverse problem of determining the risk that must be assigned to different land uses in a catchment in order to explain the spatial patterns of measured in-stream nutrient concentrations. We apply the model to identify the key sources of nitrogen (N) and phosphorus (P) diffuse pollution risk in eleven UK catchments covering a range of landscapes. The model results show that: 1) some land use generates a consistently high or low risk of diffuse nutrient pollution; but 2) the risks associated with different land uses vary both between catchments and between nutrients; and 3) that the dominant sources of P and N risk in the catchment are often a function of the spatial configuration of land uses. Taken on a case-by-case basis, this type of inverse approach may be used to help prioritise the focus of interventions to reduce diffuse pollution risk for freshwater ecosystems. (C) 2012 Elsevier B.V. All rights reserved.
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VALOSADE (Value Added Logistics in Supply and Demand Chains) is the research project of Anita Lukka's VALORE (Value Added Logistics Research) research team inLappeenranta University of Technology. VALOSADE is included in ELO (Ebusiness logistics) technology program of Tekes (Finnish Technology Agency). SMILE (SME-sector, Internet applications and Logistical Efficiency) is one of four subprojects of VALOSADE. SMILE research focuses on case network that is composed of small and medium sized mechanical maintenance service providers and global wood processing customers. Basic principle of SMILE study is communication and ebusiness insupply and demand network. This first phase of research concentrates on creating backgrounds for SMILE study and for ebusiness solutions of maintenance case network. The focus is on general trends of ebusiness in supply chains and networksof different industries; total ebusiness system architecture of company networks; ebusiness strategy of company network; information value chain; different factors, which influence on ebusiness solution of company network; and the correlation between ebusiness and competitive advantage. Literature, interviews and benchmarking were used as research methods in this qualitative case study. Networks and end-to-end supply chains are the organizational structures, which can add value for end customer. Information is one of the key factors in these decentralized structures. Because of decentralization of business, information is produced and used in different companies and in different information systems. Information refinement services are needed to manage information flows in company networksbetween different systems. Furthermore, some new solutions like network information systems are utilised in optimising network performance and in standardizingnetwork common processes. Some cases have however indicated, that utilization of ebusiness in decentralized business model is not always a necessity, but value-add of ICT must be defined case-specifically. In the theory part of report, different ebusiness and architecture models are introduced. These models are compared to empirical case data in research results. The biggest difference between theory and empirical data is that models are mainly developed for large-scale companies - not for SMEs. This is due to that implemented network ebusiness solutions are mainly large company centered. Genuine SME network centred ebusiness models are quite rare, and the study in that area has been few in number. Business relationships between customer and their SME suppliers are nowadays concentrated more on collaborative tactical and strategic initiatives besides transaction based operational initiatives. However, ebusiness systems are further mainly based on exchange of operational transactional data. Collaborative ebusiness solutions are in planning or pilot phase in most case companies. Furthermore, many ebusiness solutions are nowadays between two participants, but network and end-to-end supply chain transparency and information systems are quite rare. Transaction volumes, data formats, the types of exchanged information, information criticality,type and duration of business relationship, internal information systems of partners, processes and operation models (e.g. different ordering models) differ among network companies, and furthermore companies are at different stages on networking and ebusiness readiness. Because of former factors, different customer-supplier combinations in network must utilise totally different ebusiness architectures, technologies, systems and standards.
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VVALOSADE is a research project of professor Anita Lukka's VALORE research team in the Lappeenranta University of Technology. The VALOSADE includes the ELO technology program of Tekes. SMILE is one of four subprojects of the VALOSADE. The SMILE study focuses on the case of the company network that is composed of small and micro-sized mechanical maintenance service providers and forest industry as large-scale customers. The basic principle of the SMILE study is the communication and ebusiness in supply and demand networks. The aim of the study is to develop ebusiness strategy, ebusiness model and e-processes among the SME local service providers, and onthe other hand, between the local service provider network and the forest industry customers in a maintenance and operations service business. A literature review, interviews and benchmarking are used as research methods in this qualitative case study. The first SMILE report, 'Ebusiness between Global Company and Its Local SME Supplier Network', concentrated on creating background for the SMILE study by studying general trends of ebusiness in supply chains and networks of different industries. This second phase of the study concentrates on case network background, such as business relationships, information systems and business objectives; core processes in maintenance and operations service network; development needs in communication among the network participants; and ICT solutions to respond needs in changing environment. In the theory part of the report, different ebusiness models and frameworks are introduced. Those models and frameworks are compared to empirical case data. From that analysis of the empirical data, therecommendations for the development of the network information system are derived. In process industry such as the forest industry, it is crucial to achieve a high level of operational efficiency and reliability, which sets up great requirements for maintenance and operations. Therefore, partnerships or strategic alliances are needed between the network participants. In partnerships and alliances, deep communication is important, and therefore the information systems in the network also are critical. Communication, coordination and collaboration will increase in the case network in the future, because network resources must be optimised to improve competitive capability of the forest industry customers and theefficiency of their service providers. At present, ebusiness systems are not usual in this maintenance network. A network information system among the forest industry customers and their local service providers actually is the only genuinenetwork information system in this total network. However, the utilisation of that system has been quite insignificant. The current system does not add value enough either to the customers or to the local service providers. At present, thenetwork information system is the infomediary that share static information forthe network partners. The network information system should be the transaction intermediary, which integrates internal processes of the network companies; the network information system, which provides common standardised processes for thelocal service providers; and the infomediary, which share static and dynamic information on right time, on right partner, on right costs, on right format and on right quality. This study provides recommendations how to develop this system in the future to add value to the network companies. Ebusiness scenarios, vision, objectives, strategies, application architecture, ebusiness model, core processes and development strategy must be considered when the network information system will be developed in the next development step. The core processes in the case network are demand/capacity management, customer/supplier relationship management, service delivery management, knowledge management and cash flow management. Most benefits from ebusiness solutions come from the electrifying of operational level processes, such as service delivery management and cash flow management.
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VALOSADE (Value Added Logistics in Supply and Demand Chains) on Lappeenrannan teknillisen yliopiston ja sielläprofessori Anita Lukan VALORE -tutkimusryhmän toteuttama tutkimusprojekti, jonka rahoittaja on ollut Tekes. Projekti on osa Tekesin ELO - Elektronisen liiketoiminnan logistiikka - teknologiaohjelmaa. Tutkimusta rahoittivat Tekesin lisäksi neljä yritystä, jotka toimivat myös tutkimustyön kohteina ja toimivat tarpeen mukaan yhteistyössä tutkijoiden kanssa. Yritysten toimialat ovat metsäteollisuus, laitevalmistaja, joka tarjoaa myös tuotteilleen jälkimarkkinapalveluja sekä kaksi logistiikkapalveluyritystä. Tämä työraportti liittyy VALOSADE - tutkimusprojektin osaprojektiin Costfix (Paper Mill Process - from Fixed Costs into Variable Costs). Costfix - projektin tavoitteena on tutkia ja löytää paperiteollisuudelle uusia toimintamalleja, jotka mahdollistavat kiinteiden kustannusten muuttamisen muuttuviksi. Merkittävä tutkimuksen osa-alue on myös tutkimuskohteiden liike-toiminnan nykytilan aiempaa tarkempi selvittäminen. Tämä työraportti käsittelee kunnossapidon materiaalilogistiikan osalta tehtaan sisällä tapahtuvaa toimintaa, josta tässä tutkimuksessa käytetään nimitystä tehdaslogistiikka. Nykytilaselvityksen perusteella nykyinen prosessiteollisuudessa ja myös pääsääntöisesti valmistavassa teollisuudessa yleisesti vallitseva teollisuusyrityksen käyttöinvestointia ylläpitävän palveluprosessin toimintarakenne, johtamistapa ja prosessin operatiivisten tehtävien toimenkuvat eivät tue ko. palvelukokonaisuuden tehokasta ja tuloksellista toteuttamista. Nykymuotoinen toimintamalli pikemminkin rajoittaa toimintaprosessin kokonaishallintaa ja sen tehostamiseksi investoitujen uusien teknisten ratkaisujen ja teknologian käyttöönottoa. Lisäksi yleisesti vallitseva toimintakulttuuri (mm. arvokäsitykset, uskomukset sekä toiminnan ja tavoitteiden taustalla olevat motiivit) sekä vaikeuttaa nykyisen ja tulevan kilpailutilanteen edellyttämien tehokkuus- ja tuottavuustavoitteiden toteutumista että hidastaa uudistusten onnistumista edellyttävän muutoksen etenemistä yrityksen sisällä. Tutkimuksen tulokset vahvistivat osaltaan sen, että tehdas- ja toimintokeskeinen johtaminen aiheuttavat palveluprosessin eri tehtäville asetettujen tavoitteiden ja perustehtäväkäsityksen välille ristiriitoja, joista seuraa sekä suoria että välillisiä vaikutuksia teollisuusyrityksen tuotantoprosessin toiminnan laatuun ja tuotantolaitteiden käyttövarmuuteen. Palvelukokonaisuuteen kuuluvien eri toimintaprosessien tehtävät on jaettu ristiriitaisesti toiminnoille siten, että erityisestikunnossapidon teknisten toimihenkilöitten hoidettavana on sekä ihmisen henkilökohtaisen kapasiteettirajan ylittävä että toisistaan liian suuri erilaisia osaamisia ja ymmärrystä edellyttävä tehtävämäärä. Nykytilan palvelutuotannossa esiintyvien ongelmien seuraukset ja perussyyt osoittavat, että merkittävästi pääomia sitovan valmistavan teollisuuden (mm. prosessiteollisuus) käyttö-omaisuutta ylläpitävän palveluprosessin hallinta on ulkoistettava tehdastasolta itsenäisesti hoidettavaksi liiketoimintakokonaisuudeksi, jonka operatiivinen johtaminen tapahtuu toimintaprosesseittain konsernin ylätasolta käsin. Johtamismallissa painottuu prosessijohtaminen ja oman vastuualueen toimintaprosessin asiantuntemus. Lisäksi ihmisen osaamiseen, ymmärrykseen ja toimintatapaan perustuva palvelu edellyttää johtamiselta henkilöjohtamistaitoa ja osaamisen johtamista. Liiketoiminnan uudenlainen keskittyminen, verkostoituminen ja globalisoituminen edellyttävät johdoltamyös erilaisten toimintaverkostojen ja sidosryhmien toiminnan ja tarpeen ymmärtämistä. Tutkimustulosten perusteella myös palveluprosesseissa toimivien toimihenkilöitten tehtäväkuvia on muutettava radikaalisti ja osa uusista toimenkuvista edellyttää lisäksi henkilöitten osaamistason aktiivista parantamista. Tässä raportissa esitetään toimintamalli, jossa kuvataan tutkimuksen pohjalta luotu palvelukokonaisuuden johtamismalli ja palveluprosessien eri tehtävätasot tehtävineen. Kuvattu johtamismalli on ollut jo yleisesti käytössä yksittäisillä palvelualoilla, mutta tässä esitetty malli on valmistavan yrityksen teknisiin tukipalveluihin muokattu sovellus.