890 resultados para key performance indicator(s)


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Rework strategies that involve different checking points as well as rework times can be applied into reconfigurable manufacturing system (RMS) with certain constraints, and effective rework strategy can significantly improve the mission reliability of manufacturing process. The mission reliability of process is a measurement of production ability of RMS, which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. To quantitatively characterize the mission reliability and basic reliability of RMS under different rework strategies, rework model of RMS was established based on the method of Logistic regression. Firstly, the functional relationship between capability and work load of manufacturing process was studied through statistically analyzing a large number of historical data obtained in actual machining processes. Secondly, the output, mission reliability and unit cost in different rework paths were calculated and taken as the decision variables based on different input quantities and the rework model mentioned above. Thirdly, optimal rework strategies for different input quantities were determined by calculating the weighted decision values and analyzing advantages and disadvantages of each rework strategy. At last, case application were demonstrated to prove the efficiency of the proposed method.

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It is a crucial task to evaluate the reliability of manufacturing process in product development process. Process reliability is a measurement of production ability of reconfigurable manufacturing system (RMS), which serves as an integrated performance indicator of the production process under specified technical constraints, including time, cost and quality. An integration framework of manufacturing process reliability evaluation is presented together with product development process. A mathematical model and algorithm based on universal generating function (UGF) is developed for calculating the reliability of manufacturing process with respect to task intensity and process capacity, which are both independent random variables. The rework strategies of RMS are analyzed under different task intensity based on process reliability is presented, and the optimization of rework strategies based on process reliability is discussed afterwards.

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Mai világunkban egyre több olyan erőforrást élünk fel, amelyek hatását az otthonunknak számító Föld egyszerűen már nem képes helyreállítani. Ebben számos jelenség mellett a gazdaság globalizációja, az élesedő versenyhelyzet, a fogyasztói társadalom további térnyerése, ebből adódóan pedig a logisztikai folyamatok intenzitásának növekedése kulcsszerepet játszik. A logisztikát érő kritikáknak ösztönözniük kell a vállalatok szakembereit arra, hogy változtassanak ezen. Ehhez elengedhetetlen a jelenlegi működés szénlábnyomának mérése. Csak a jelenállapot felmérése szolgálhat alapjául a fejlesztéseknek. A szerzők tanulmányának célja a szénlábnyomszámítás egy gyakorlati alkalmazásának ismertetése. Esettanulmány jelleggel bemutatják egy nagy nemzetközi vállalat hazai leányvállalatának a szénlábnyom-számítása során alkalmazott módszertanát. A számítások során a vállalat disztribúciós logisztikai folyamataira fókuszálnak, kiemelten vizsgálták a közúti szállítás és a raktározás széndioxid-kibocsátását. Számításaikban igyekeztek pontosak lenni, a hazai energiamixre számolt legfrissebb konverziós faktorokkal számoltak. Meggyőződésük, hogy az ilyen esettanulmányok hasznosak, hiszen a bemutatott módszertan mintául, útmutatásul szolgálhat további vállalatok számára. Reményeik szerint ezzel segíthetik, hogy minél több hazai vállalat kezdje el széndioxid-kibocsátásának szisztematikus és tudományos alapokon nyugvó mérését. ____ Due to globalization, intense competition and the consumer society logistics processes have been intensified during the last decades. This led to increased environmental strain generating intense criticism towards logistics profession. In order to decrease the environmental burden of logistics several professionals and companies have tried to make progress in this field and introduced techniques that are capable to measure the Carbon Footprint of logistics. Still public case studies are very limited. The paper presents the case of the Hungarian subsidiary of a big multinational FMCG firm. Calculations are built on the actual conversion factor developed for the Hungarian energy mix. A complex set of key performance indi actors usable to capture key characteristics of the present situation is presented. Not only the constructs of these KPIs are described in the paper but a detailed description of methodology used to calculate them is also given. The authors hope such detailed case study description will help other companies as well to initiate sustainable logistics programs.

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This paper prese nts the validation of the Performance Indicator System for Projects under Construction - SIDECC. The goal was to develop a system of performance indicators from the macroergonômica approach, con sidering criteria of usefulness , practicality and applicabilit y and the concept of continuous improveme nt in the construction industry . The validation process SIDECC consisted of three disti nct models . Modeling I corresponded to the theoretical development and valid ation of a system of indicators . Modeling II concern s the development and valida tion of multi - indicator system . For this modeling, we used the Mother of Use and Importance and Multivariate Analysis . Modeling III correspo nded to the validation situated , which consisted of a case study of a wo rk of construct ion of buildings , which were applied and anal yzed the results of modeling II . This work resulted in the development of an applied and tested for the construction of an integrated system of per formance indicators methodology , involving aspects of production , quality , e nvironmental, health and safety . It is inferred that the SIDECC can be applied, in full or in part , the construction companies as a whole, as we ll as in other economic sectors .

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“Availability” is the terminology used in asset intensive industries such as petrochemical and hydrocarbons processing to describe the readiness of equipment, systems or plants to perform their designed functions. It is a measure to suggest a facility’s capability of meeting targeted production in a safe working environment. Availability is also vital as it encompasses reliability and maintainability, allowing engineers to manage and operate facilities by focusing on one performance indicator. These benefits make availability a very demanding and highly desired area of interest and research for both industry and academia. In this dissertation, new models, approaches and algorithms have been explored to estimate and manage the availability of complex hydrocarbon processing systems. The risk of equipment failure and its effect on availability is vital in the hydrocarbon industry, and is also explored in this research. The importance of availability encouraged companies to invest in this domain by putting efforts and resources to develop novel techniques for system availability enhancement. Most of the work in this area is focused on individual equipment compared to facility or system level availability assessment and management. This research is focused on developing an new systematic methods to estimate system availability. The main focus areas in this research are to address availability estimation and management through physical asset management, risk-based availability estimation strategies, availability and safety using a failure assessment framework, and availability enhancement using early equipment fault detection and maintenance scheduling optimization.

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Key Performance Indicators (KPIs) and their predictions are widely used by the enterprises for informed decision making. Nevertheless , a very important factor, which is generally overlooked, is that the top level strategic KPIs are actually driven by the operational level business processes. These two domains are, however, mostly segregated and analysed in silos with different Business Intelligence solutions. In this paper, we are proposing an approach for advanced Business Simulations, which converges the two domains by utilising process execution & business data, and concepts from Business Dynamics (BD) and Business Ontologies, to promote better system understanding and detailed KPI predictions. Our approach incorporates the automated creation of Causal Loop Diagrams, thus empowering the analyst to critically examine the complex dependencies hidden in the massive amounts of available enterprise data. We have further evaluated our proposed approach in the context of a retail use-case that involved verification of the automatically generated causal models by a domain expert.

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This paper describes the evolution of a ‘Design - Build-Fly’ (DBF) approach to the delivery and assessment of a Stage Three Aircraft Design module. It focuses on the primary learning outcomes around the design and manufacturing functions associated with the development of a remotely controlled aircraft. The work covers a six year period from 2011 to present mapping the transformation of the module from report based assessment to a more hands on approach resulting in a fully functioning remotely controlled aircraft. Results show that both the staff and student experience improved across key performance metrics including student feedback, learning and competency development. Challenges still remain in methods of placing students within teams and maintaining technical rigour in reporting as students develop vocational skills and more reflective writing styles.

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Real-time data of key performance enablers in logistics warehouses are of growing importance as they permit decision-makers to instantaneously react to alerts, deviations and damages. Several technologies appear as adequate data sources to collect the information required in order to achieve the goal. In the present re-search paper, the load status of the fork of a forklift is to be recognized with the help of a sensor-based and a camera-based solution approach. The comparison of initial experimentation results yields a statement about which direction to pursue for promising further research.

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On 28 July 2010, the Nigerian Federal Executive Council approved January 1, 2012 as the effective date for the convergence of Nigerian Statement of Accounting Standards (SAS) or Nigerian GAAP (NG-GAAP) with International Financial Reporting Standards (IFRS). By this pronouncement, all publicly listed companies and significant public interest entities in Nigeria were statutorily required to issue IFRS based financial statements for the year ended December, 2012. This study investigates the impact of the adoption of IFRS on the financial statements of Nigerian listed Oil and Gas entities using six years of data which covers three years before and three years after IFRS adoption in Nigeria and other African countries. First, the study evaluates the impact of IFRS adoption on the Exploration and Evaluation (E&E) expenditures of listed Oil and Gas companies. Second, it examines the impact of IFRS adoption on the provision for decommissioning of Oil and Gas installations and environmental rehabilitation expenditures. Third, the study analyses the impact of the adoption of IFRS on the average daily Crude Oil production cost per Barrel. Fourth, it examines the extent to which the adoption and implementation of IFRS affects the Key Performance Indicators (KPIs) of listed Oil and Gas companies. The study further explores the impact of IFRS adoption on the contractual relationships between Nigerian Government and Oil and Gas companies in terms of Joint Ventures (JVs) and Production Sharing Contracts (PSCs) as it relates to taxes, royalties, bonuses and Profit Oil Split. A Paired Samples t-test, Wilcoxon Signed Rank test and Gray’s (Gray, 1980) Index of Conservatism analyses were conducted simultaneously where the accounting numbers, financial ratios and industry specific performance measures of GAAP and IFRS were computed and analysed and the significance of the differences of the mean, median and Conservatism Index values were compared before and after IFRS adoption. Questionnaires were then administered to the key stakeholders in the adoption and implementation of IFRS and the responses collated and analysed. The results of the analyses reveal that most of the accounting numbers, financial ratios and industry specific performance measures examined changed significantly as a result of the transition from GAAP to IFRS. The E&E expenditures and the mean cost of Crude Oil production per barrel of Oil and Gas companies increased significantly. The GAAP values of inventories, GPM, ROA, Equity and TA were also significantly different from the IFRS values. However, the differences in the provision for decommissioning expenditures were not statistically significant. Gray’s (Gray, 1980) Conservatism Index shows that Oil and Gas companies were more conservative under GAAP when compared to the IFRS regime. The Questionnaire analyses reveal that IFRS based financial statements are of higher quality, easier to prepare and present to management and easier to compare among competitors across the Oil and Gas sector but slightly more difficult to audit compared to GAAP based financial statements. To my knowledge, this is the first empirical research to investigate the impact of IFRS adoption on the financial statements of listed Oil and Gas companies. The study will therefore make an enormous contribution to academic literature and body of knowledge and void the existing knowledge gap regarding the impact and implications of IFRS adoption on the financial statements of Oil and Gas companies.

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The purpose of this study is to explore the link between decentralization and the impact of natural disasters through empirical analysis. It addresses the issue of the importance of the role of local government in disaster response through different means of decentralization. By studying data available for 50 countries, it allows to develop the knowledge on the role of national government in setting policy that allows flexibility and decision making at a local level and how this devolution of power influences the outcome of disasters. The study uses Aaron Schneider’s definition and rankings of decentralization, the EM-DAT database to identify the amount of people affected by disasters on average per year as well as World Bank Indicators and the Human Development Index (HDI) to model the role of local decentralization in mitigating disasters. With a multivariate regression it looks at the amount of affected people as explained by fiscal, administrative and political decentralization, government expenses, percentage of urbanization, total population, population density, the HDI and the overall Logistics Performance Indicator (LPI). The main results are that total population, the overall LPI and fiscal decentralization are all significant in relation to the amount of people affected by disasters for the countries and period studied. These findings have implication for government’s policies by indicating that fiscal decentralization by allowing local governments to control a bigger proportion of the countries revenues and expenditures plays a role in reducing the amount of affected people in disasters. This can be explained by the fact that local government understand their own needs better in both disaster prevention and response which helps in taking the proper decisions to mitigate the amount of people affected in a disaster. The reduction in the implication of national government might also play a role in reducing the time of reaction to face a disaster. The main conclusion of this study is that fiscal control by local governments can help reduce the amount of people affected by disasters.

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A realização desta dissertação tem como principal objetivo a análise de indicadores chave de desempenho numa rede celular de terceira geração - Universal Mobile Telecommunication System (UMTS), bem como a aplicação de técnicas matemáticas de previsão como apoio ao respetivo planeamento e otimização. Para o efeito, foi inicialmente efetuado um estudo sobre a evolução das comunicações de uma forma generalista, até às redes de nova geração, abordando individualmente, as de voz, as de dados e as comunicações móveis, assim como, uma breve descrição das organizações envolvidas nestas mudanças. No seguimento do estudo inicial, dando enfoque à tecnologia UMTS, foram expostas as suas características, a sua estrutura e arquitetura. Foram ainda elaboradas, duas comparações, com base em diferentes parâmetros, uma com a tecnologia da geração anterior e outra, com a de última geração. Com base nos conhecimentos adquiridos em diferentes pesquisas, foram estudados, os indicadores chave de desempenho (KPIs), as técnicas de planeamento e otimização, apresentando propostas de prevenção e soluções para problemas existentes na rede.

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Beef businesses in northern Australia are facing increased pressure to be productive and profitable with challenges such as climate variability and poor financial performance over the past decade. Declining terms of trade, limited recent gains in on-farm productivity, low profit margins under current management systems and current climatic conditions will leave little capacity for businesses to absorb climate change-induced losses. In order to generate a whole-of-business focus towards management change, the Climate Clever Beef project in the Maranoa-Balonne region of Queensland trialled the use of business analysis with beef producers to improve financial literacy, provide a greater understanding of current business performance and initiate changes to current management practices. Demonstration properties were engaged and a systematic approach was used to assess current business performance, evaluate impacts of management changes on the business and to trial practices and promote successful outcomes to the wider industry. Focus was concentrated on improving financial literacy skills, understanding the business’ key performance indicators and modifying practices to improve both business productivity and profitability. To best achieve the desired outcomes, several extension models were employed: the ‘group facilitation/empowerment model’, the ‘individual consultant/mentor model’ and the ‘technology development model’. Providing producers with a whole-of-business approach and using business analysis in conjunction with on-farm trials and various extension methods proved to be a successful way to encourage producers in the region to adopt new practices into their business, in the areas of greatest impact. The areas targeted for development within businesses generally led to improvements in animal performance and grazing land management further improving the prospects for climate resilience.

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Field lab: Entrepreneurial and innovative ventures

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Atividade física, saúde e bem-estar são temas presentes no dia-a-dia das pessoas. O mercado do Fitness está dinâmico e ativo, quer na comunicação, através das novas tecnologias de informação, quer na especialização da oferta de produtos ou serviços. O Personal training surge como um produto feito á medida do cliente, importante numa sociedade onde a individualidade sobressai, as preferências e necessidades divergem de cliente para cliente. É solicitada uma boa performance constantemente ao profissional, que se pretende traduzida em altas taxas de angariação e retenção. O Balanced Scorecard (BSC), apresenta soluções válidas neste contexto de mercado, já que é uma ferramenta de apoio á gestão estratégica e simultaneamente um sistema de monitorização em tempo real dos indicadores de performance dos profissionais (Personal Trainer) e dos restantes níveis hierárquicos da Organização. Num mercado concorrencial, a valorização do recurso humano tem-se revelado crucial nos resultados alcançados e principal fator de criação de valor e vantagem competitiva, quando bem monitorizada e orientada pela Gestão da Organização. Surge como desafio maior, elaborar, posicionar, implementar, avaliar e medir através deste instrumento (BSC), num contexto laboral diferente (prestadores de serviços) onde já foi aplicado e apurar o nível de desempenho alcançado pela organização orientado nas respetivas visões: financeira, clientes, aprendizagem – crescimento e processos internos.

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Esta dissertação enquadra-se na área do Customer Relationship Management (CRM), no domínio aplicacional do Sales Force Automation (SFA), em um operador móvel de telecomunicações no suporte à rede comercial. Assim, esta dissertação investiga de que forma a introdução de uma ferramenta SFA em um operador móvel de telecomunicações poderá resolver a enorme dificuldade que a empresa tem em obter informações fiáveis e atempadas. A incapacidade em obter esta informação não permite aos gestores tomar decisões em resposta a alterações súbitas do mercado. Por outro lado, os seus delegados comerciais que suportam os agentes não têm uma ferramenta que organize as suas agendas, e a disponibilização de informação útil e atualizada nas suas visitas aos agentes. Assim, foi decidido investigar qual o impacto resultante da introdução de uma ferramenta SFA, que em tempo real auxilie os gestores na tomada de decisão, na disponibilização de informação que suporte as reuniões dos delegados com os seus agentes, bem como no planeamento e agendamento dessas mesmas reuniões. Foi demonstrada uma relação positiva entre a utilização do SFA e a produtividade dos delegados. Esta alteração de hábitos comportamentais, bem como a disponibilidade de informação permitindo uma melhor monitorização sobre o desempenho dos agentes, afetou positivamente a capacidade de tomada de decisão, tendo provocado um incremento na eficiência das visitas aos agentes, e resultando na melhoria dos indicadores mais importantes da empresa.