976 resultados para Analytic hierarchy process (ahp)


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Measuring school efficiency is a challenging task. First, a performance measurement technique has to be selected. Within Data Envelopment Analysis (DEA), one such technique, alternative models have been developed in order to deal with environmental variables. The majority of these models lead to diverging results. Second, the choice of input and output variables to be included in the efficiency analysis is often dictated by data availability. The choice of the variables remains an issue even when data is available. As a result, the choice of technique, model and variables is probably, and ultimately, a political judgement. Multi-criteria decision analysis methods can help the decision makers to select the most suitable model. The number of selection criteria should remain parsimonious and not be oriented towards the results of the models in order to avoid opportunistic behaviour. The selection criteria should also be backed by the literature or by an expert group. Once the most suitable model is identified, the principle of permanence of methods should be applied in order to avoid a change of practices over time. Within DEA, the two-stage model developed by Ray (1991) is the most convincing model which allows for an environmental adjustment. In this model, an efficiency analysis is conducted with DEA followed by an econometric analysis to explain the efficiency scores. An environmental variable of particular interest, tested in this thesis, consists of the fact that operations are held, for certain schools, on multiple sites. Results show that the fact of being located on more than one site has a negative influence on efficiency. A likely way to solve this negative influence would consist of improving the use of ICT in school management and teaching. Planning new schools should also consider the advantages of being located on a unique site, which allows reaching a critical size in terms of pupils and teachers. The fact that underprivileged pupils perform worse than privileged pupils has been public knowledge since Coleman et al. (1966). As a result, underprivileged pupils have a negative influence on school efficiency. This is confirmed by this thesis for the first time in Switzerland. Several countries have developed priority education policies in order to compensate for the negative impact of disadvantaged socioeconomic status on school performance. These policies have failed. As a result, other actions need to be taken. In order to define these actions, one has to identify the social-class differences which explain why disadvantaged children underperform. Childrearing and literary practices, health characteristics, housing stability and economic security influence pupil achievement. Rather than allocating more resources to schools, policymakers should therefore focus on related social policies. For instance, they could define pre-school, family, health, housing and benefits policies in order to improve the conditions for disadvantaged children.

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Työn tavoitteena on kartoittaa ja arvioida asiakastarpeita hienojakoisen hiilen ja nesteen erotuksessa. Aluksi työssä kuvataan hiiliteollisuutta, jonka jälkeen syvennytäänhiilen ja nesteen erotukseen. Tämän jälkeen keskitytään asiakastarpeiden kartoittamiseen. Jo olemassaolevan tiedon keräämiseen käytetään haastatteluja ja kysymyslomakkeita. Saatyn AHP-mallia hyödynnetään asiakastarpeiden arvioinnissa. Yksi suurimmista haasteista puhtaan hiiliteknologian käytössä on kustannustehokas nesteen ja hienojakoisen hiilen erotus, joka on tärkeää rahtauskustannusten minimoinnin, laatuvaatimusten täyttämisen ja prosessiveden kierrättämisen kannalta. Tekniset ominaisuudet ja kustannukset ovat tärkeimmät ominaisuudet hiilen ja veden suodatinratkaisussa asiantuntijoiden mukaan. Asiakkaan mukaan laatu, tekniset ominaisuudet ja tukipalvelut ovat tärkeitä.Sekä asiakkaan että asiantuntijoiden mielestä korkea yksikkökapasiteetti, matala lopputuotteen kosteus ja luotettavuus ovat tärkeimmät tekniset ominaisuudet. Investointikustannukset ovat noin kolme kertaa tärkeämpiä kuin käyttökustannukset. Asiakkaan mukaan laitetoimittajan ominaisuudet ovat tärkeämpiä kuin teknologiset ominaisuudet.

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The objective of the thesis is to structure and model the factors that contribute to and can be used in evaluating project success. The purpose of this thesis is to enhance the understanding of three research topics. The goal setting process, success evaluation and decision-making process are studied in the context of a project, business unitand its business environment. To achieve the objective three research questionsare posed. These are 1) how to set measurable project goals, 2) how to evaluateproject success and 3) how to affect project success with managerial decisions.The main theoretical contribution comes from deriving a synthesis of these research topics which have mostly been discussed apart from each other in prior research. The research strategy of the study has features from at least the constructive, nomothetical, and decision-oriented research approaches. This strategy guides the theoretical and empirical part of the study. Relevant concepts and a framework are composed on the basis of the prior research contributions within the problem area. A literature review is used to derive constructs of factors withinthe framework. They are related to project goal setting, success evaluation, and decision making. On the basis of this, the case study method is applied to complement the framework. The empirical data includes one product development program, three construction projects, as well as one organization development, hardware/software, and marketing project in their contexts. In two of the case studiesthe analytic hierarchy process is used to formulate a hierarchical model that returns a numerical evaluation of the degree of project success. It has its origin in the solution idea which in turn has its foundation in the notion of projectsuccess. The achieved results are condensed in the form of a process model thatintegrates project goal setting, success evaluation and decision making. The process of project goal setting is analysed as a part of an open system that includes a project, the business unit and its competitive environment. Four main constructs of factors are suggested. First, the project characteristics and requirements are clarified. The second and the third construct comprise the components of client/market segment attractiveness and sources of competitive advantage. Together they determine the competitive position of a business unit. Fourth, the relevant goals and the situation of a business unit are clarified to stress their contribution to the project goals. Empirical evidence is gained on the exploitation of increased knowledge and on the reaction to changes in the business environment during a project to ensure project success. The relevance of a successful project to a company or a business unit tends to increase the higher the reference level of project goals is set. However, normal performance or sometimes performance below this normal level is intentionally accepted. Success measures make project success quantifiable. There are result-oriented, process-oriented and resource-oriented success measures. The study also links result measurements to enablers that portray the key processes. The success measures can be classified into success domains determining the areas on which success is assessed. Empiricalevidence is gained on six success domains: strategy, project implementation, product, stakeholder relationships, learning situation and company functions. However, some project goals, like safety, can be assessed using success measures that belong to two success domains. For example a safety index is used for assessing occupational safety during a project, which is related to project implementation. Product safety requirements, in turn, are connected to the product characteristics and thus to the product-related success domain. Strategic success measures can be used to weave the project phases together. Empirical evidence on their static nature is gained. In order-oriented projects the project phases are oftencontractually divided into different suppliers or contractors. A project from the supplier's perspective can represent only a part of the ¿whole project¿ viewed from the client's perspective. Therefore static success measures are mostly used within the contractually agreed project scope and duration. Proof is also acquired on the dynamic use of operational success measures. They help to focus on the key issues during each project phase. Furthermore, it is shown that the original success domains and success measures, their weights and target values can change dynamically. New success measures can replace the old ones to correspond better with the emphasis of the particular project phase. This adjustment concentrates on the key decision milestones. As a conclusion, the study suggests a combination of static and dynamic success measures. Their linkage to an incentive system can make the project management proactive, enable fast feedback and enhancethe motivation of the personnel. It is argued that the sequence of effective decisions is closely linked to the dynamic control of project success. According to the used definition, effective decisions aim at adequate decision quality and decision implementation. The findings support that project managers construct and use a chain of key decision milestones to evaluate and affect success during aproject. These milestones can be seen as a part of the business processes. Different managers prioritise the key decision milestones to a varying degree. Divergent managerial perspectives, power, responsibilities and involvement during a project offer some explanation for this. Finally, the study introduces the use ofHard Gate and Soft Gate decision milestones. The managers may use the former milestones to provide decision support on result measurements and ad hoc critical conditions. In the latter milestones they may make intermediate success evaluation also on the basis of other types of success measures, like process and resource measures.

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Tutkimuksessa on selvitetty erikoiskalustevalmistuksen projektinhallinnan suunnittelun toteutusta, tukiprosesseja sekä projektien seurantaa. Tutkimuksessa verrataan teoreettista projektinhallintaa ja käytännön toteutusta erikoiskalusteita valmistavassa yrityksessä. Osa-alueina ovat projektisuunnitelma, suunnitelman seuranta, asiakastyytyväisyys ja laatu sekä työprosessin vaihtelut ja riskit. Tutkimusaineisto on koottu kyselyin, seurannalla ja haastatteluin kohdeyrityksessä. Tutkimuksessa on käytetty tilastollisia ja analyyttisen hierarkian (AHP) sekä monitavoiteoptimoinnin menetelmiä. Tuloksissa esitetään työprojektin hallinnan eri osa-alueet mukaan lukien projektin laatu sekä työprosessin vaihtelun ja riskien kannattavat hallintamahdollisuudet. Suosituksena kalustevalmistuksen työprojektien kehittämiseksi tutkimuksessa esitetään toimintaperiaatteet projektinhallintaohjelmistojen käyttöönotolle.

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Within Data Envelopment Analysis, several alternative models allow for an environmental adjustment. The majority of them deliver divergent results. Decision makers face the difficult task of selecting the most suitable model. This study is performed to overcome this difficulty. By doing so, it fills a research gap. First, a two-step web-based survey is conducted. It aims (1) to identify the selection criteria, (2) to prioritize and weight the selection criteria with respect to the goal of selecting the most suitable model and (3) to collect the preferences about which model is preferable to fulfil each selection criterion. Second, Analytic Hierarchy Process is used to quantify the preferences expressed in the survey. Results show that the understandability, the applicability and the acceptability of the alternative models are valid selection criteria. The selection of the most suitable model depends on the preferences of the decision makers with regards to these criteria.

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The objectives of the study were to introduce current issues of chilled and frozen food packaging, priorize certain customer needs and review brand owners’ opinions and ways of actions. Packaging industry and packaged food markets were reviewed. Interviews of food industry brand owners are used as data sources. Analytic hierarchy process was used to prioritize the customer needs. Food packaging, special features of ready meals, chilled and frozen food packaging, packaging industry and packaged food markets in Europe are approached using literature and market reviews and forecasts. In empirical part the customer needs of paperboard trays are prioritized. The most important features for brand owners are related in product safety and environmental issues. Paperboard trays have benefits compared to its competing packaging solutions. Paperboard is recyclable, from renewable source and it has good printability. Emerging issues of packaging technology are biodegradable package, elderly friendly features such as easiness of opening and re-closing possibility, brand protection and tamper evident solutions.

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Tämän diplomityön tavoitteena on selvittää asiakasarvoa luovat kasvumahdollisuudet eräälle suomalaiselle liikkeenjohdon konsulttiyritykselle. Yrityksen kasvun tulee tapahtua pitkällä aikavälillä kannattavasti ja tukea sen toimintaa sekä liiketoiminnallisia tavoitteita. Työn teoreettiset aihealueet käsittelevät liikkeenjohdon konsultoinnin toimialaa, arvon luomista ja menestymisen edellytyksiä, asiakaspohjaa ja yhteistyömahdollisuuksia sekä kasvun johtamista. Työn empiirisessä osassa näitä aihealueita tutkittiin yrityksestä saatavien havaintojen, asiakaskyselyn sekä osakashaastattelujen avulla. Asiakasarvoa luovien kasvuvaihtoehtojen määrittämisessä käytettiin apuna analyyttistä hierarkiaprosessia. Tutkimuksen keskeisimmät havainnot olivat, että konsultointipalveluiden asiakasarvoa eniten luovat tekijät tärkeysjärjestyksessä ovat lopputuloksen laatu, ihmisten sitouttaminen kehitykseen, toimialaosaaminen, asenne, uudet näkökulmat ja osaaminen sekä hinta. Kohdeyritykselle tutkittiin viittä kasvuvaihtoehtoa ja niiden asiakasarvon tuottamiskykyä. Suositeltavat kasvuvaihtoehdot kohdeyritykselle tärkeysjärjestyksessä ovat asiakaspohjan säilyttäminen, uusien asiakkaiden hankkiminen sekä verkostojen ja allianssien hyödyntäminen.

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Modular drivers cover the entire product life cycle and when the most important modular drivers are known, it is possible to focus on the most essential areas in modularization. Modular drivers are helpful while planning modularization, selecting modules to manufacture and evaluating the success of the modularization. When the modules are formed based on the modular drivers it is also possible to develop production processes according to the requirements of a certain module. The objective of the Master’s Thesis was to organize the modular drivers based on the weightings in order to make the modularization process easier. The phases to find the most important module drivers were formed based on the existing literature and background material from the company. During the Master’s Thesis project the weights of the modular drivers were determined according to the requirements of customers, product development and manufacturing. The requirements were established by a questionnaire and the weights for the requirements were selected in an interview using the Analytic Hierarchy Process. The modular drivers were compared pairwise by the view point of the requirements of certain group. When the results of the three groups were integrated, the weights of the modular drivers were found and it was possible to select the most important drivers.

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Service provider selection has been said to be a critical factor in the formation of supply chains. Through successful selection companies can attain competitive advantage, cost savings and more flexible operations. Service provider management is the next crucial step in outsourcing process after the selection has been made. Without proper management companies cannot be sure about the level of service they have bought and they may suffer from service provider's opportunistic behavior. In worst case scenario the buyer company may end up in locked-in situation in which it is totally dependent of the service provider. This thesis studies how the case company conducts its carrier selection process along with the criteria related to it. A model for the final selection is also provided. In addition, case company's carrier management procedures are reflected against recommendations from previous researches. The research was conducted as a qualitative case study on the principal company, Neste Oil Retail. A literature review was made on outsourcing, service provider selection and service provider management. On the basis of the literature review, this thesis ended up recommending Analytic hierarchy process as the preferred model for the carrier selection. Furthermore, Agency theory was seen to be a functional framework for carrier management in this study. Empirical part of this thesis was conducted in the case company by interviewing the key persons in the selection process, making observations and going through documentations related to the subject. According to the results from the study, both carrier selection process as well as carrier management were closely in line with suggestions from literature review. Analytic hierarchy process results revealed that the case company considers service quality as the most important criteria with financial situation and price of service following behind with almost identical weights with each other. Equipment and personnel was seen as the least important selection criterion. Regarding carrier management, the study resulted in the conclusion that the company should consider engaging more in carrier development and working towards beneficial and effective relationships. Otherwise, no major changes were recommended for the case company processes.

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Tutkimusongelmana oli tiedon lisääminen teollisuusvaihteiden kunnossapitopal-veluiden asiakasarvon muodostumiseen liittyen. Työn tavoitteena oli arviointi-mallin rakentaminen asiakasarvon osatekijöiden selvittämiseksi sekä niiden tär-keysjärjestykseen saamiseksi. Tutkimusongelmaa lähestyttiin kolmesta teo-rianäkökulmasta: (1) Arvo-käsitteen ja arvoon läheisesti kytköksissä olevista suorituskyvyn osatekijöiden määrittelystä, (2) kunnossapidon merkityksestä ja roolista yrityksen liiketoiminnassa ja (3) asiakas-toimittaja –suhteen merkityk-sestä asiakasarvon muodostumisessa. Teorianäkökulmien pohjalta muodostettiin teollisuusvaihteiden kunnossapidon viitekehykseen sopiva arvohierarkia, jonka osatekijöiden, arvoelementtien, yhteisvaikutuksesta kunnossapitopalvelun asia-kasarvo syntyy. Työn empiriaosuudessa mallia testattiin käytännössä. Hierarkian arvoelementtien tärkeysjärjestyksen ja kaikille asiakkaille yhteisten arvoelementtien löytämiseksi käytettiin Analyyttisen hierarkiaprosessin (AHP) menetelmää osana asiakasryh-mähaastatteluita. Haastattelut toteutettiin täsmäryhmähaastatteluina ja haastatel-tavat ryhmät koostuivat haastatteluihin valittujen asiakkaiden kunnossapidon vastuuhenkilöistä. Tutkimustuloksina havaittiin, että asiakaskohtaiset arvoelementit ja niiden tärke-ysjärjestys saadaan mallin avulla esiin, mutta asiakaskohtaiset erot arvon muo-dostumisessa ovat suuria. Asiakasarvoon vaikuttavien taustatekijöiden, ainakin yhteistyösuhteen tason ja vaihdannan kohteena olevien palveluiden tason, havait-tiin selittävän osaltaan eroja asiakkaiden välillä. Lisäksi teollisen kunnossapidon toimintaympäristön dynaaminen luonne, jossa eri osatekijöiden keskinäiset riip-puvuussuhteet muuttuvat koko ajan, olisi kyettävä huomioimaan myös asia-kasarvon muodostumisen arvioinnissa.

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LiDAR is an advanced remote sensing technology with many applications, including forest inventory. The most common type is ALS (airborne laser scanning). The method is successfully utilized in many developed markets, where it is replacing traditional forest inventory methods. However, it is innovative for Russian market, where traditional field inventory dominates. ArboLiDAR is a forest inventory solution that engages LiDAR, color infrared imagery, GPS ground control plots and field sample plots, developed by Arbonaut Ltd. This study is an industrial market research for LiDAR technology in Russia focused on customer needs. Russian forestry market is very attractive, because of large growing stock volumes. It underwent drastic changes in 2006, but it is still in transitional stage. There are several types of forest inventory, both with public and private funding. Private forestry enterprises basically need forest inventory in two cases – while making coupe demarcation before timber harvesting and as a part of forest management planning, that is supposed to be done every ten years on the whole leased territory. The study covered 14 companies in total that include private forestry companies with timber harvesting activities, private forest inventory providers, state subordinate companies and forestry software developer. The research strategy is multiple case studies with semi-structured interviews as the main data collection technique. The study focuses on North-West Russia, as it is the most developed Russian region in forestry. The research applies the Voice of the Customer (VOC) concept to elicit customer needs of Russian forestry actors and discovers how these needs are met. It studies forest inventory methods currently applied in Russia and proposes the model of method comparison, based on Multi-criteria decision making (MCDM) approach, mainly on Analytical Hierarchy Process (AHP). Required product attributes are classified in accordance with Kano model. The answer about suitability of LiDAR technology is ambiguous, since many details should be taken into account.

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Intelligence from a human source, that is falsely thought to be true, is potentially more harmful than a total lack of it. The veracity assessment of the gathered intelligence is one of the most important phases of the intelligence process. Lie detection and veracity assessment methods have been studied widely but a comprehensive analysis of these methods’ applicability is lacking. There are some problems related to the efficacy of lie detection and veracity assessment. According to a conventional belief an almighty lie detection method, that is almost 100% accurate and suitable for any social encounter, exists. However, scientific studies have shown that this is not the case, and popular approaches are often over simplified. The main research question of this study was: What is the applicability of veracity assessment methods, which are reliable and are based on scientific proof, in terms of the following criteria? o Accuracy, i.e. probability of detecting deception successfully o Ease of Use, i.e. easiness to apply the method correctly o Time Required to apply the method reliably o No Need for Special Equipment o Unobtrusiveness of the method In order to get an answer to the main research question, the following supporting research questions were answered first: What kinds of interviewing and interrogation techniques exist and how could they be used in the intelligence interview context, what kinds of lie detection and veracity assessment methods exist that are reliable and are based on scientific proof and what kind of uncertainty and other limitations are included in these methods? Two major databases, Google Scholar and Science Direct, were used to search and collect existing topic related studies and other papers. After the search phase, the understanding of the existing lie detection and veracity assessment methods was established through a meta-analysis. Multi Criteria Analysis utilizing Analytic Hierarchy Process was conducted to compare scientifically valid lie detection and veracity assessment methods in terms of the assessment criteria. In addition, a field study was arranged to get a firsthand experience of the applicability of different lie detection and veracity assessment methods. The Studied Features of Discourse and the Studied Features of Nonverbal Communication gained the highest ranking in overall applicability. They were assessed to be the easiest and fastest to apply, and to have required temporal and contextual sensitivity. The Plausibility and Inner Logic of the Statement, the Method for Assessing the Credibility of Evidence and the Criteria Based Content Analysis were also found to be useful, but with some limitations. The Discourse Analysis and the Polygraph were assessed to be the least applicable. Results from the field study support these findings. However, it was also discovered that the most applicable methods are not entirely troublefree either. In addition, this study highlighted that three channels of information, Content, Discourse and Nonverbal Communication, can be subjected to veracity assessment methods that are scientifically defensible. There is at least one reliable and applicable veracity assessment method for each of the three channels. All of the methods require disciplined application and a scientific working approach. There are no quick gains if high accuracy and reliability is desired. Since most of the current lie detection studies are concentrated around a scenario, where roughly half of the assessed people are totally truthful and the other half are liars who present a well prepared cover story, it is proposed that in future studies lie detection and veracity assessment methods are tested against partially truthful human sources. This kind of test setup would highlight new challenges and opportunities for the use of existing and widely studied lie detection methods, as well as for the modern ones that are still under development.

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Esta propuesta de investigación pretende aportar al proyecto de investigación “La administración de la cadena de suministro y su relación con el desempeño superior de la organización” a la elaboración de la primera etapa que consiste en la revisión de literatura para la elaboración y revisión del marco teórico de dicha investigación. Este proyecto se centra en el programa de estrategia y empresa en donde se realizará una investigación descriptiva acerca de la administración de la cadena de suministros, con el fin de estudiar la adopción y viabilidad de diferentes estrategias en el interior de las organizaciones, que puedan impactar en su desempeño y por lo tanto, en la competitividad y perdurabilidad de las empresas del sector de prendas de vestir en Colombia.

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Supplier selection has a great impact on supply chain management. The quality of supplier selection also affects profitability of organisations which work in the supply chain. As suppliers can provide variety of services and customers demand higher quality of service provision, the organisation is facing challenges for making the right choice of supplier for the right needs. The existing methods for supplier selection, such as data envelopment analysis (DEA) and analytical hierarchy process (AHP) can automatically perform selection of competitive suppliers and further decide winning supplier(s). However, these methods are not capable of determining the right selection criteria which should be derived from the business strategy. An ontology model described in this paper integrates the strengths of DEA and AHP with new mechanisms which ensure the right supplier to be selected by the right criteria for the right customer's needs.

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Demands for thermal comfort, better indoor air quality together with lower environmental impacts have had ascending trends in the last decade. In many circumstances, these demands could not be fully covered through the soft approach of bioclimatic design like optimisation of the building orientation and internal layout. This is mostly because of the dense urban environment and building internal energy loads. In such cases, heating, ventilation, air-conditioning and refrigeration (HVAC&R) systems make a key role to fulfill the requirements of indoor environment. Therefore, it is required to select the most proper HVAC&R system. In this study, a robust decision making approach for HVAC&R system selection is proposed. Technical performance, economic aspect and environmental impacts of 36 permutations of primary and secondary systems are taken into account to choose the most proper HVAC&R system for a case study office building. The building is a representative for the dominant form of office buildings in the UK. Dynamic performance evaluation of HVAC&R alternatives using TRNSYS package together with life cycle energy cost analysis provides a reliable basis for decision making. Six scenarios broadly cover the decision makers' attitudes on HVAC&R system selection which are analysed through Analytical Hierarchy Process (AHP). One of the significant outcomes reveals that, despite both the higher energy demand and more investment requirements associated with compound heating, cooling and power system (CCHP); this system is one of the top ranked alternatives due to the lower energy cost and C02 emissions. The sensitivity analysis reveals that in all six scenarios, the first five top ranked alternatives are not changed. Finally, the proposed approach and the results could be used by researchers and designers especially in the early stages of a design process in which all involved bodies face the lack of time, information and tools for evaluation of a variety of systems.