976 resultados para Analytic hierarchy process (ahp)


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The sustainable intelligent building is a building that has the best combination of environmental, social, economic and technical values. And its sustainability assessment is related with system engineering methods and multi-criteria decision-making. Therefore firstly, the wireless monitoring system of sustainable parameters for intelligent buildings is achieved; secondly, the indicators and key issues based on the “whole life circle” for sustainability of intelligent buildings are researched; thirdly, the sustainable assessment model identified on the structure entropy and fuzzy analytic hierarchy process is proposed.

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This study discuss the use of the geotechnologies to aid the planners on the terrain aptness definition for highways implantation and on the different trace evaluation to the extention of the Governador Carvalho Pinto highway, between Taubaté-SP and Aparecida do Norte-SP. Fratures on the area were mapping using Landsat ETM+, band Pan. In order to elaborate the phisical aptness chart for highway implantation was used the Analitical Hierarchy Process (AHP) operation, in on geographical information system (GIS). Using GIS were realized a ponderate middle with the soils, rocks, relief, slope, fractures and land use/cover maps. Using this physical aptness chart and joinning it with urban and restrict areas (that was inserted by the Boolean operation), were obtained a viability chart for highway implantation. Based on it were proposed three aleatory traces for the Carvalho Pinto highway. This traces were evaluated with the cross tabulation operation. The integration of the restrict areas, land use and phisical aptness in digital media can offer for the planners the cartography of the viability for the highway implantation. The evaliation of these three traces, based on the viability chart, can subsidyse the decision by the planners.

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Broiler chicken production is widely dispersed across the globe, and one important issue for growers is the selection of adequate bedding material, as the availability and price of substrates varies among countries and regions within a same country. This study aimed at applying a multiple criteria analysis approach for the selection of the most appropriate bedding material for broiler production. Based on field research data and growers' experience, the most desirable characteristics of a litter material were chosen as the main criteria. The selected materials were wood shavings, rice husks, chopped Napier grass (Pennisetum pupureum), 50% sugar cane bagasse (Saccharum L.) plus 50% wood shavings, 50% sugar cane bagasse (Saccharum L.) plus 50% rice husks, and pure sugar cane bagasse (Saccharum L.). The analytical hierarchy process (AHP) was applied for selecting the most suitable bedding material. Validation was performed using data from previous studies carried out in central-western Brazil on the effects of different types of bedding material on broiler carcass quality. Considering the selected criteria, several bedding materials were tested and ranked, and the results showed that wood-shavings litter was the best option (weight = 0.28), followed by rice husks (weight = 0.24). All other tested alternatives presented lower scores and were, therefore, not considered for use. The AHP approach was found to be an efficient tool to select the most appropriate litter material under specific scenarios.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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

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The transport market has forced organizations reduce the cost of services and processes, resulting from the highly competitive and, for such waste at all levels and processes are a focus of study for its elimination. This study refers to carrier fractional loads, located in the municipality of Itapecerica da Serra Layout and headquartered in São Paulo, which requires a rapid development throughout its structure, because its expansion was not accompanied by an evolution of effective processes. The need to increase efficiency in delivery with a reduced cost of transport forced the company to hire a logistics consulting to help identify potential bottlenecks in processes, suggest improvements with greater impact and implementation at the end of a critical analysis of results. This work focuses on the Layout of the warehouse shipping area of this organization and we used the method of action research to the consultant and involved could reach this conclusion collaboratively, as well as interviews with those involved in the process and also visual observation. Tools such as Key Performance Indicator, Mapping Workflow, Analytic Hierarchy Process, Applied Statistics and Standard Operating Procedure were used to assist in the identification, analysis and implementation of the proposed improvements

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The optimal supply chain management (SCM) is considered by the companies a new frontier in order to gain efficiently competitive advantage. Through the SCM companies must define their competitive strategies by positioning inside the supply chain wich belongs both as suppliers and as consumers. The main objectives of SCM is integrate multiple suppliers to satisfy the market demand and make possible the synergies between the parts of the supply chain in order to better serve the consumer Meanwhile, selection, evaluation and development of suppliers play important roles in establishing an efficient supply chain. Thus, the SCM covers elements such as manufacturing, assembly, raw materials, and distribution to the final consumer. Due to the factors described, the focus of this paper is to present the Analytic Hierarchical Process (AHP) application as an appropriate and structured method for the supplier selection of a strategic line of low voltage transformers of a transformers industry and compare it with the selection process currently used by this industry, showing the advantages of applying a multiple criteria decision making method. In this study, the research methodology used was modeling and simulation

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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In search for better competitiveness, the automotive industry has discussed and applied several concepts related to people and processes. However, in many organizations, the adopted concepts are implemented and kept unarticulated. In this context, authors recognize the role of the knowledge as competitive advantage, but it is still dealt in an implicit way with the traditional models of Production Management. Exploring opportunities in this scenario, this Thesis aims to analyse worker knowledge sharing using factors of Knowledge Management, Work Organization and Production Organization. For the realization of the present Thesis, the scope of the research was restricted to be the labour environment of the glass plants shop floor. The choice of the glass sector is justified due to high dependency on the tacit knowledge of blue-collars. The research uses a qualitative-quantitative approach and employs interviews with workers and managers to identify factors. To assess the importance of these factors in the management judgments, is employed the technique Incomplete Pairwise Comparisons based on Analytic Hierarchy Process Saaty (2001). The result indicates integration among factors and highlights the importance of systematic and technical conversation among operators to share better your knowledge. Also, worker knowledge sharing is improved using communication, training and work instruction. This research extends the conceptual frameworks encountered in literature from the factors integration of Knowledge Management with the Organization of Work and the Production and makes explicit use of the theme of knowledge. This contributes to promote of a favourable context for the creation and sharing of knowledge, among the people in the labour environment, and to support incremental innovation

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Different tools have been used to set up and adopt the model for the fulfillment of the objective of this research. 1. The Model The base model that has been used is the Analytical Hierarchy Process (AHP) adapted with the aim to perform a Benefit Cost Analysis. The AHP developed by Thomas Saaty is a multicriteria decision - making technique which decomposes a complex problem into a hierarchy. It is used to derive ratio scales from both discreet and continuous paired comparisons in multilevel hierarchic structures. These comparisons may be taken from actual measurements or from a fundamental scale that reflects the relative strength of preferences and feelings. 2. Tools and methods 2.1. The Expert Choice Software The software Expert Choice is a tool that allows each operator to easily implement the AHP model in every stage of the problem. 2.2. Personal Interviews to the farms For this research, the farms of the region Emilia Romagna certified EMAS have been detected. Information has been given by EMAS center in Wien. Personal interviews have been carried out to each farm in order to have a complete and realistic judgment of each criteria of the hierarchy. 2.3. Questionnaire A supporting questionnaire has also been delivered and used for the interviews . 3. Elaboration of the data After data collection, the data elaboration has taken place. The software support Expert Choice has been used . 4. Results of the Analysis The result of the figures above (vedere altro documento) gives a series of numbers which are fractions of the unit. This has to be interpreted as the relative contribution of each element to the fulfillment of the relative objective. So calculating the Benefits/costs ratio for each alternative the following will be obtained: Alternative One: Implement EMAS Benefits ratio: 0, 877 Costs ratio: 0, 815 Benfit/Cost ratio: 0,877/0,815=1,08 Alternative Two: Not Implement EMAS Benefits ratio: 0,123 Costs ration: 0,185 Benefit/Cost ratio: 0,123/0,185=0,66 As stated above, the alternative with the highest ratio will be the best solution for the organization. This means that the research carried out and the model implemented suggests that EMAS adoption in the agricultural sector is the best alternative. It has to be noted that the ratio is 1,08 which is a relatively low positive value. This shows the fragility of this conclusion and suggests a careful exam of the benefits and costs for each farm before adopting the scheme. On the other part, the result needs to be taken in consideration by the policy makers in order to enhance their intervention regarding the scheme adoption on the agricultural sector. According to the AHP elaboration of judgments we have the following main considerations on Benefits: - Legal compliance seems to be the most important benefit for the agricultural sector since its rank is 0,471 - The next two most important benefits are Improved internal organization (ranking 0,230) followed by Competitive advantage (ranking 0, 221) mostly due to the sub-element Improved image (ranking 0,743) Finally, even though Incentives are not ranked among the most important elements, the financial ones seem to have been decisive on the decision making process. According to the AHP elaboration of judgments we have the following main considerations on Costs: - External costs seem to be largely more important than the internal ones (ranking 0, 857 over 0,143) suggesting that Emas costs over consultancy and verification remain the biggest obstacle. - The implementation of the EMS is the most challenging element regarding the internal costs (ranking 0,750).

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Opportunistic routing (OR) employs a list of candidates to improve wireless transmission reliability. However, conventional list-based OR restricts the freedom of opportunism, since only the listed nodes are allowed to compete for packet forwarding. Additionally, the list is generated statically based on a single network metric prior to data transmission, which is not appropriate for mobile ad-hoc networks (MANETs). In this paper, we propose a novel OR protocol - Context-aware Adaptive Opportunistic Routing (CAOR) for MANETs. CAOR abandons the idea of candidate list and it allows all qualified nodes to participate in packet transmission. CAOR forwards packets by simultaneously exploiting multiple cross-layer context information, such as link quality, geographic progress, energy, and mobility.With the help of the Analytic Hierarchy Process theory, CAOR adjusts the weights of context information based on their instantaneous values to adapt the protocol behavior at run-time. Moreover, CAOR uses an active suppression mechanism to reduce packet duplication. Simulation results show that CAOR can provide efficient routing in highly mobile environments. The adaptivity feature of CAOR is also validated.