Cadeia produtiva da farinha de mandioca na perspectiva da análise de filière e supply chain management :um estudo de caso das relações entre a agroindústria e a distribuição

This research aims to study the manioc flour productive chain in order to understand how the relationship between its segments happens, specially between the flour agroindustry and the distribuition. This research was made from a study of case that envolved three agro industries from the Potiguar wasteland and a company of food distribution. The filiére and the supply chain management analysis were applied to identify the functioning and the organization of the manioc flour productive chain. From the study of case it s noticed that the existing contracts, even the informal ones, has mutual benefits and it suggests that they be legalized

Uma abordagem híbrida para o problema de seleção de fornecedores em cadeia de suprimentos

This work presents a hybrid approach for the supplier selection problem in Supply Chain Management. We joined decision-making philosophy by researchers from business school and researchers from engineering in order to deal with the problem more extensively. We utilized traditional multicriteria decision-making methods, like AHP and TOPSIS, in order to evaluate alternatives according decision maker s preferences. The both techiniques were modeled by using definitions from the Fuzzy Sets Theory to deal with imprecise data. Additionally, we proposed a multiobjetive GRASP algorithm to perform an order allocation procedure between all pre-selected alternatives. These alternatives must to be pre-qualified on the basis of the AHP and TOPSIS methods before entering the LCR. Our allocation procedure has presented low CPU times for five pseudorandom instances, containing up to 1000 alternatives, as well as good values for all considered objectives. This way, we consider the proposed model as appropriate to solve the supplier selection problem in the SCM context. It can be used to help decision makers in reducing lead times, cost and risks in their supply chain. The proposed model can also improve firm s efficiency in relation to business strategies, according decision makers, even when a large number of alternatives must be considered, differently from classical models in purchasing literature

Medição de desempenho na cadeia de suprimentos da energia eólica: proposta de um conjunto de indicadores de desempenho

Performance measurement in highly competitive markets is a necessary measure for those who aim the top positions. The business performance measurement approach have reached relevant results in the literature, however, a different approach has recently appeared that broadened the perception of competition, where companies do not seek the competition among companies only, but also among supply chains. Brazilian Wind energy supply chain is living a structuring and expanding moment, with the major global players in the industry making investments in the country. This research aims to answer which are the key performance indicators that must be considered by the Brazilian wind energy sector companies, which are part in a broad perspective of supply chain competition. The research was executed in two steps: exploratory (literature review and a field research in the companies) and later a survey was conducted with the Brazilian Wind energy companies workers with the purpose to validate the performance indicators found in the exploratory step. The survey evaluated 40 performance indicators distributed among five major activities: Project prospection, building/execution, operation and maintenance, logistics and transverse processes, which summarize the performance of the entire supply chain, pointing the sinergy and the competitive level of the supply chain. The selected performance indicators reflect the high relevance of the costs dimension in the Brazilian energy companies performance, acting as a key performance indicator, is also indicates the limited performance management integration throughout the Brazilian wind energy supply chain

Algoritmos genéticos: uso de lógica nebulosa e análise de convergência por cadeia de Markov

In this work, the Markov chain will be the tool used in the modeling and analysis of convergence of the genetic algorithm, both the standard version as for the other versions that allows the genetic algorithm. In addition, we intend to compare the performance of the standard version with the fuzzy version, believing that this version gives the genetic algorithm a great ability to find a global optimum, own the global optimization algorithms. The choice of this algorithm is due to the fact that it has become, over the past thirty yares, one of the more importan tool used to find a solution of de optimization problem. This choice is due to its effectiveness in finding a good quality solution to the problem, considering that the knowledge of a good quality solution becomes acceptable given that there may not be another algorithm able to get the optimal solution for many of these problems. However, this algorithm can be set, taking into account, that it is not only dependent on how the problem is represented as but also some of the operators are defined, to the standard version of this, when the parameters are kept fixed, to their versions with variables parameters. Therefore to achieve good performance with the aforementioned algorithm is necessary that it has an adequate criterion in the choice of its parameters, especially the rate of mutation and crossover rate or even the size of the population. It is important to remember that those implementations in which parameters are kept fixed throughout the execution, the modeling algorithm by Markov chain results in a homogeneous chain and when it allows the variation of parameters during the execution, the Markov chain that models becomes be non - homogeneous. Therefore, in an attempt to improve the algorithm performance, few studies have tried to make the setting of the parameters through strategies that capture the intrinsic characteristics of the problem. These characteristics are extracted from the present state of execution, in order to identify and preserve a pattern related to a solution of good quality and at the same time that standard discarding of low quality. Strategies for feature extraction can either use precise techniques as fuzzy techniques, in the latter case being made through a fuzzy controller. A Markov chain is used for modeling and convergence analysis of the algorithm, both in its standard version as for the other. In order to evaluate the performance of a non-homogeneous algorithm tests will be applied to compare the standard fuzzy algorithm with the genetic algorithm, and the rate of change adjusted by a fuzzy controller. To do so, pick up optimization problems whose number of solutions varies exponentially with the number of variables

Cadeia produtiva da nêspera na região do alto Tietê: indicadores econômicos da produção e mercado atacadista

A região do Alto Tietê é responsável por 85% da produção de nêspera do Estado de São Paulo. Atividade rentável, nos últimos anos os produtores verificaram uma queda na sua lucratividade. Este trabalho teve como objetivos sistematizar informações econômicas sobre a cadeia produtiva e analisar a estrutura de mercado. A evolução dos preços da nêspera mostra crescimento até o ano 2000 e posterior queda. O mercado atacadista tem atuado como um colchão amortecedor. O maior desafio para os produtores de nêspera se encontra no âmbito organizacional. A estrutura de mercado e os resultados da pesquisa de campo indicam que os produtores do Alto Tietê encontram-se em posição vantajosa para um reposicionamento nesse aspecto, importante para uma participação sustentável na atividade.

Sobrevivência de Xanthomonas axonopodis pv. manihotis em manipueira sob condições ambientais

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