976 resultados para Analytic Hierarchy Process


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The selection of an Enterprise Resource Planning (ERP) system is one of the most sensitive and highest impact processes in the area of information systems and technologies, because it supports and integrates the whole business of an organization. Hence the importance of deciding the best solution in order to contribute to the organization's competitiveness in a global and increasingly demanding market. Therefore, it is essential to provide tools to support decision making, turning complex and often intangible decisions into simple and quantifiable scenarios. This study addressed the adoption of the Analytical Hierarchy Process (AHP) multicriteria decision method to support the selection of an ERP system. The literature review was the source used to obtain the set of the most relevant criteria to be considered in this decision, which were subsequently validated through systematic application of various surveys of experts and people related to the field of ERP systems. To support the application of AHP, according to the model obtained in the study, it was developed a web application that will be available to the general public. The responsible for the acquisition of ERP systems can use it to easily apply the AHP method based on validated decision model. On the other hand, the web application can be used as a validation tool, allowing collecting data for future developments of the decision model.

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O processo de negociação tem ganho relevância como uma das formas de gestão de conflitos. Verifica-se que nas organizações a negociação é um processo omnipresente, que tem sido alvo de muito estudo e investigação, e as capacidades de negociação são consideradas determinantes para o sucesso. Em consequência dessas tendências, surgem propostas de modelos de negociação bastantes flexíveis e que visam colaboração entre as partes interessadas, modelos que se adequam aos contextos organizacionais em que predominam relações estáveis e de longo prazo. Estas propostas procuram a solução óptima para as partes interessadas. No entanto, faltam frequentemente os mecanismos e procedimentos que garantam um processo estruturado para elaborar e analisar os diversos cenários na negociação, considerando um conjunto de aspectos relevantes para ambas as partes. No presente trabalho de dissertação formula-se uma proposta baseada no modelo de negociação Win Win Quantitativa, em que foi utilizada uma abordagem do método multicritério Analitic Hierarchy Process (AHP) para seleccionar a melhor opção de serviço para uma determinada empresa. Para o caso de estudo, num contexto real, foi necessário desenvolver uma aplicação Excel que permitisse analisar, de uma forma clara, as diversas alternativas perante os critérios mencionados. A aplicação do método AHP permite aos clientes tomar uma decisão potencialmente mais acertada. A aplicação informática procura optimizar os custos inerentes à prestação de serviços, oferecendo aos clientes um custo reduzido e assim tornando a empresa mais competitiva e atractiva para os potenciais clientes.

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Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Gestão do Território, Área de Especialização em Detecção Remota e Sistema de Informação Geográfica

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Dissertation to obtain PhD in Industrial Engineering

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Dissertação para obtenção do Grau de Mestre em Engenharia e Gestão Industrial

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Based on the report for the unit “Project IV” of the PhD programme on Technology Assessment under the supervision of Dr.-Ing. Marcel Weil and Prof. Dr. António Brandão Moniz. The report was presented and discussed at the Doctorate Conference on Technologogy Assessment in July 2013 at the University Nova Lisboa, Caparica campus.

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To solve a health and safety problem on a waste treatment facility, different multicriteria decision methods were used, including the PROV Exponential decision method. Four alternatives and ten attributes were considered. We found a congruent solution, validated by the different methods. The AHP and the PROV Exponential decision method led us to the same options ordering, but the last method reinforced one of the options as being the best performing one, and detached the least performing option. Also, the ELECTRE I method results led to the same ordering which allowed to point the best solution with reasonable confidence. This paper demonstrates the potential of using multicriteria decision methods to support decision making on complex problems such as risk control and accidents prevention.

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The following article describes an approach covering the variety of opinions and uncertainties of estimates within the chosen technique of decision support. Mathematical operations used for assessment of options are traced to operations of working with functions that are used for assessment of possible options of decision-making. Approach proposed could be used within any technique of decision support based on elementary mathematical operations. In this article the above-mentioned approach is described under analytical hierarchy process.

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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 evaluation of investments in advanced technology is one of the most important decision making tasks. The importance is even more pronounced considering the huge budget concerning the strategic, economic and analytic justification in order to shorten design and development time. Choosing the most appropriate technology requires an accurate and reliable system that can lead the decision makers to obtain such a complicated task. Currently, several Information and Communication Technologies (ICTs) manufacturers that design global products are seeking local firms to act as their sales and services representatives (called distributors) to the end user. At the same time, the end user or customer is also searching for the best possible deal for their investment in ICT's projects. Therefore, the objective of this research is to present a holistic decision support system to assist the decision maker in Small and Medium Enterprises (SMEs) - working either as individual decision makers or in a group - in the evaluation of the investment to become an ICT's distributor or an ICT's end user. The model is composed of the Delphi/MAH (Maximising Agreement Heuristic) Analysis, a well-known quantitative method in Group Support System (GSS), which is applied to gather the average ranking data from amongst Decision Makers (DMs). After that the Analytic Network Process (ANP) analysis is brought in to analyse holistically: it performs quantitative and qualitative analysis simultaneously. The illustrative data are obtained from industrial entrepreneurs by using the Group Support System (GSS) laboratory facilities at Lappeenranta University of Technology, Finland and in Thailand. The result of the research, which is currently implemented in Thailand, can provide benefits to the industry in the evaluation of becoming an ICT's distributor or an ICT's end user, particularly in the assessment of the Enterprise Resource Planning (ERP) programme. After the model is put to test with an in-depth collaboration with industrial entrepreneurs in Finland and Thailand, the sensitivity analysis is also performed to validate the robustness of the model. The contribution of this research is in developing a new approach and the Delphi/MAH software to obtain an analysis of the value of becoming an ERP distributor or end user that is flexible and applicable to entrepreneurs, who are looking for the most appropriate investment to become an ERP distributor or end user. The main advantage of this research over others is that the model can deliver the value of becoming an ERP distributor or end user in a single number which makes it easier for DMs to choose the most appropriate ERP vendor. The associated advantage is that the model can include qualitative data as well as quantitative data, as the results from using quantitative data alone can be misleading and inadequate. There is a need to utilise quantitative and qualitative analysis together, as can be seen from the case studies.

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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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Tutkimus käsittelee julkisia toimitilahankintoja, alueellistamistoimia sekä päätöksentekoprosessia. Tutkimuksen tavoitteena on tutkia julkisiin toimitilahankintoihin liittyvää lainsäädäntöä, toimintamalleja ja määritellä analyyttistä hierarkiaprosessia apuna käyttäen yhdelle valtion virastolle kokonaistaloudellisesti paras mahdollinen toimitila Lappeenrannasta. Tutkimuskohteena on Liikennevirasto, joka osittain alueellistetaan Lappeenrantaan. Kirjallisuuden pohjalta muodostetaan työn laaja teoriapohja, empiirinen aineisto puolestaan koostuu asiantuntija- ja yrityshaastatteluista. Työssä on esitelty lopuksi myös muutama mielenkiintoinen jatkotutkimuksen arvoinen aihe.

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The purpose of the thesis is to classify suppliers and to enhance strategic purchasing in the case company. Supplier classification is conducted to fulfill the requirements of the company quality manual and international quality standards. To gain more benefit, a strategic purchasing tool, Kraljic’s purchasing portfolio and analytical hierarchy process are utilized for the base of supplier classification. Purchasing portfolio is used to give quick and easy visual insight on product group management form the viewpoint of purchasing. From the base on purchasing portfolio alternative purchasing and supplier strategies can be formed that enhance the strategic orientation of purchasing. Thus purchasing portfolio forces the company to orient on proactive and strategic purchasing. As a result a survey method for implementing purchasing portfolio in the company is developed that exploits analytical hierarchy process. Experts from the company appoint the categorization criteria and in addition, participate in the survey to categorize product groups on the portfolio. Alternative purchasing strategies are formed. Suppliers are classified depending on the importance and characteristics of the product groups supplied.

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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.