904 resultados para Retail Market. SCOR Model. Supply Chain


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O extrativismo vegetal, baseado na exploração sustentável dos produtos florestais não madeireiros é uma das alternativas mais consistentes ecologicamente, no que tange a Conservação da biodiversidade e cobertura natural da Floresta Amazônica. Mas, há problemas sistêmicos que não têm deixado este segmento desenvolver-se de forma satisfatória. O vazamento da economia regional dos produtos extrativistas da Amazônia é uma variável que contribui para o baixo nível de desenvolvimento social e econômico da região. É imperativo que sejam realizadas análises econômicas sobre as possibilidades desse novo modelo A solução provisória para esta área foi estabelecida em 1841, com a definição do espaço entre os rios Oiapoque e Araguari como “Área do Contestado”. Ficou definido então, que a gestão da referida área seria feita de forma compartilhada entre os dois Países. A questão da disputa entre Brasil e França pelas terras do Amapá, só se resolveu definitivamente com a intermediação do presidente suíço Walter Hauser, que em 1o de dezembro de 1900, através do protocolo conhecido como “Laudo Suíço”, concedeu a referida área ao Brasil. de desenvolvimento, apoiado nas bases de um capitalismo contemporâneo, que tem procurado aprimorar os mecanismos econômicos de inclusão social de variáveis ambientais como elementos endógenos do sistema produtivo na Amazônia. O Amapá é o estado brasileiro mais preservado (97% de sua cobertura florestal original) e possui 72% do território como áreas protegidas. Este trabalho pretende identificar o nível de contribuição que os produtos não-madeireiros, extraídos nas florestas por populações tradicionais têm na economia do Amapá. Como método central de análise, foi utilizado o modelo de matriz insumo-produto desenvolvido por Wassily Leontief. Este procedimento analítico tem relevante destaque como instrumento prático de análise e planejamento econômico. Além das análises de programação do crescimento econômico setorial, é adequado para estimar, mediante os efeitos multiplicadores, os impactos do crescimento econômico na produção trabalho e renda setorial de toda a economia. O objeto central do trabalho são as análises estruturais dos arranjos produtivos locais dos produtos florestais não-madeireiros do estado do Amapá, em níveis regional e local. O método desenvolvido pelo Francisco de Assis Costa (Contas Sociais Ascendentes Alfa - CS_) foi usado na construção das matrízes, tendo como base os procedimentos analíticos ascendentes de agregação progressiva dos dados locais O setor extrativista dos produtos florestais não -madeireiros do estado do Amapá, com um PIB de R$ 204 milhões no ano de 2009 tem uma participação pequena, com somente 3,07% das riquezas produzidas no estado. Todavia, quando é observado que 86,77% do valor total do PIB (6,65 bilhões de reais) é decorrente de atividades do Setor Terciário e que todo o Setor Produtivo (Primário e Secundário), tem participação de apenas 13,24%, conclui-se que o valor da produção dos produtos florestais não-madeireiros é bem significativo no estado do Amapá.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Facing the competitive current market, increases the growing managerial commitment to minimize the frequent occurrence of service failures that characterized the past. Given the fact that the supply of a product in the correct location and on time, undamaged and correctly billed market requirement becomes framed the present work. Based on a case study, supported in parallel bibliographical references in the literature in a company of sugar and alcohol sector, the survey aims to measure and evaluate the real-time delivery from suppliers in order to ensure the best level of service to the company in question by suppliers, by reducing idle time of delivery, since the control system does not supply the pre-established and / or observed above, thus obtaining a better management and supply of replacement material. To assist the work, developed a project in the company in question in order to analyze and identify applications of concepts of lead time along the supply chain through an exploratory study in order to provide a beneficial outcome to the company through monitoring and performance of its suppliers, which will enable an aid to future decision-making

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This action-research work presents tools which are related to production monitoring: Follow-up of Products Release from Quality Department and Follow-up of Production Volumes. Both tools allows controlling release delays of finished goods based on the quality specifications, and the accurate analysis of production volumes variations compared to pre-established plans. They have direct impact into enterprises inventory levels that are part of Toiletries, Perfumery and Cosmetics market segment. By applying these tools, it´s possible to identify opportunities for process optimization that brings benefits for the final customer. The results seen by the tools application are presented by the analysis of delayed stock for release quantities evolution and testimonies from professionals of Supply Chain

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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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Pós-graduação em Engenharia Mecânica - FEG

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Pós-graduação em Engenharia Mecânica - FEG

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Many researchers emphasize the increasing dynamics of business globalization, virtually as a new order of driving rules to be considered and included regarding operations management. In this sense, and trying to attain a set of suitable competitive conditions according to the needs of their business, the very internal processes of management and decision making have been growing in terms of complexity and range of issues to be considered. To do so, it is important to understand and absorb possible changes in competitive conditions as they arise. This paper aims to present a conceptual model and a case study to illustrate the assessment of the relationships involving actors within an operations network. The understanding of the basis behind these relationships and the identification of the existing hierarchic profile governing them, represent primary items to be considered embedded in a decision making system. The results obtained suggest the possibility to make use of the proposed model as an auxiliary tool to assess existing relationships within an operations network.

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Purpose – The purpose of this paper is to present the results of a success story involving the extending of lean manufacturing practices between a focal firm and its supplier, both located in Brazil, thereby configuring a case of excellence. Design/methodology/approach – An in-depth case study was conducted involving two companies: Company A, focal, leader in its segment, located in Brazil; and Company B, Company A's supplier, also located in Brazil. Findings – Results indicate there are several mechanisms for extending lean manufacturing practices in the supply chain, such as workshops, training, and integrated teams. These mechanisms are shown and guidelines are also introduced for companies seeking to successfully extend lean manufacturing practices. Originality/value – An original use of define, measure, analyze, improve, control for structuring the extending of lean manufacturing practices to suppliers and, consequently, the importance of the lean six-sigma relationship in this context. Furthermore, the guidelines introduced serve as a benchmark for other companies interested in the topic.

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Until 1990, beef cattle production in Brazil was recognized as an enterprise of low investment, low cost of production, as well as an extensive production system that used large land areas to be economically feasible. The situation changed for the Brazilian beef market when the economy stabilized in 1994 and all sectors involved in the beef supply chain were able to predict their associated costs and profits. During the same period, purchasing power of the Brazilian population grew, and as a consequence, consumers began to demand higher quality beef products. This new scenario in the late 1990s and early 2000s has led to more intensive beef production systems in Brazil as well as the need for a greater understanding of how technologies might be applied. As consequence of this evolution, in the last five years, a necessity to increase beef production has occurred. The quality of Brazilian beef has improved compared with beef produced 15 years ago, but continued improvements are needed to achieve excellence in terms of large-scale production of high quality beef, be sustainable over a long period of time, and increase our contribution to global food security.

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Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain

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Many organizations are currently facing inventory management problems such as distributing inventory on-time and maintain the correct inventory levels to satisfy the customer or end users. Organizations understand the need for maintaining the accurate inventory levels but sometimes fall short leading a wide performance gap in maintaining inventory accurately. The inventory inaccuracy can consume much of the investment on purchasing inventory and many times leads to excessive inventory. The research objective of thesis is to provide a decision making criteria to the management for closing or maintaining the warehouse based on basic purchasing and holding cost information. The specific objectives provide information regarding the impact of inventory carrying cost, obsolete inventory, inventory turns. The methodology section explains about the carrying cost ratio that would help inventory managers to adopt best practices to avoid obsolete inventory and also reduce excessive inventory levels. The research model was helpful in providing a decision making criteria based on the performance metric developed. This research model and performance metric had been validated by analysis of warehouse data and results indicated a shift from two-echelon inventory supply chain to a one-echelon or Just In Time (JIT) based inventory supply chain. The recommendations from the case study were used by a health care organization to reorganize the supply chain resulting in the reduction of excessive inventory.

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Considering the high competitiveness in the industrial chemical sector, demand forecast is a relevant factor for decision-making. There is a need for tools capable of assisting in the analysis and definition of the forecast. In that sense, the objective is to generate the chemical industry forecast using an advanced forecasting model and thus verify the accuracy of the method. Because it is time series with seasonality, the model of seasonal autoregressive integrated moving average - SARIMA generated reliable forecasts and acceding to the problem analyzed, thus enabling, through validation with real data improvements in the management and decision making of supply chain

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The growing complexity of supply chains poses new challenges for Agricultural Research Centers and statistical agencies. The aim of this perspective paper is to discuss the role of empirical research in understanding the complex forms of governance in agribusiness. The authors argue that there are three fundamental levels of analysis: (i) the basic structure of the market, (ii) the formal contractual arrangements that govern relations within the agroindustrial system and (iii) the transactional dimensions governed by non-contractual means. The case of the agrochemical industry in Brazil illustrates how traditional analyses that only address market structure are insufficient to fully explain the agricultural sector and its supply chain. The article concludes by suggesting some indicators which could be collected by statistical agencies to improve understanding of the complex relationships among agribusiness segments. In doing so, the paper seeks to minimize costs and to enable a better formulation of public and private policies.