Fast food restaurants are responsible for much of the solid waste produced in Brazil. The management of these wastes has a such fundamental importance, because the environmental impact caused by its inadequacy causes incalculable damage to the environment. The performance of the solid waste management system can be determined by evaluating your service level. In restaurants, the level of solid waste service is determined based on the quantity generated. Therefore, the objective of this study was to develop a statistical planning to explore the predictability of the amount of solid waste generated in a fast food restaurant, aiming to develop a monitoring system, based on sustainability indexes, increasing knowledge about the relevant processes and possible internal barriers. Thus, a computational routine was created in the C++ language through the bootstrap statistical method. The results showed that the bootstrap method is a robust statistical tool to predict the amount of solid waste generated in fast food restaurants. The use of time series was important for comparative studies with the data obtained by the bootstrap method, as well as the implementation of a routine predictive analysis of solid waste in a fast food restaurant.

Reverse logistics is defined as the practices and processes established to organize the returns of products from point of sales to the manufacturer in order to repair, recycle or dispose of these items in the most economical way possible. There's a close connection between reverse logistics and environmental protection because it focuses on the management of products, components and materials that have been used and disposed of, and of which the manufacturer has some kind of responsibility. Its purpose is to reuse these products and, where possible, reduce the final amount of waste. To demonstrate the economic viability of reverse logistics, robust statistical procedures are required. Among these procedures, we can highlight the bootstrap method, which is a resampling procedure used to estimate statistics of a population by sampling a set of data with repetition. Therefore, the objective of this study was to use the bootstrap method to estimate the ideal selling price of solid waste in a network of commercial restaurants in the metropolitan region of Recife, in order to obtain information on the profit from the operation. The results showed that the bootstrap method was an efficient statistical tool in the analysis of data from reverse logistics operations and can be used in decision making on the variation of solid waste sales prices in the chain of restaurants studied. Therefore, the network of restaurants studied can certainly profit from the reverse logistics operation, in addition to sustainable business marketing that attracts a larger group of customers.

Utilização das ferramentas de qualidade para redução de desperdícios de alimentos em redes de Fast-Food Use of quality tools to reduce food waste in Fast Food networks

In the mid-70s, the former NUCLEBRAS carried out several studies to prospect for uranium minerals in the Northeast region. However, the anomalous occurrence of uranium and thorium located in the Agreste Semiárido region of Pernambuco, in the Pernambuco municipalities of Pedra and Venturosa drew the attention of technicians. However, after detailed studies, it was found that, despite the high concentrations of uranium and thorium, the occurrences were punctual, which made its extraction economically unfeasible. Despite being considered economically unviable, the inhabitants of the municipalities of Pedra and Venturosa are subject to high levels of natural radiation, which can result in damage to health. In Brazil, the exploration of radioactive ores is the responsibility of the Federal Government, with the National Nuclear Energy Commission (NNEC) being responsible for the administration of such resources, with the Nuclear Industries of Brazil (NIB) responsible for mining activities. Considering Brazilian law, NNEC is also responsible for radioactive deposits considered economically unviable, as it is a regulatory and supervisory body for all nuclear activities in the country. Thus, and within this context, the present study aimed to research, under Brazilian law, the legal responsibility for the natural radioactive anomaly existing in the Pernambuco and Pedra de Venturosa municipalities. For this purpose, a bibliographic review search in the specialized literature was used. The results obtained showed that, legally, CNEN is responsible for the natural radioactive anomaly located between the municipalities of Pedra and Venturosa, and therefore, it must adopt mitigating measures of radiological protection in those municipalities.

High concentrations of uranium-238 ( 238 U) and thorium-232 ( 232 Th) were found in rocks of the natural radioactive anomaly existing in the cities of Pedra and Venturosa located in the State of Pernambuco. The studies were carried out in a technical partnership between the former company NUCLEBRÁS and CPRM, in 1975. After exhaustive prospecting studies, the anomaly was considered economically unfeasible for mining. Although the anomaly was considered economically unviable, the inhabitants of the municipalities of Pedra and Venturosa are subject to high levels of natural radiation. In Brazil, the exploration of radioactive ores is the responsibility of the Union, and the National Nuclear Energy Commission (CNEN) is responsible for the management of such resources, with the Nuclear Industries of Brazil (INB) being responsible for mining activities. In CNEN regulations there are no radiological protection measures that must be adopted in the case of natural radioactive anomalies considered economically unfeasible. Thus, and within this context, the present study aimed to research, within the scope of Brazilian legislation, the legal responsibility for the natural radioactive anomaly of the cities of Pedra and Venturosa. For that, a bibliographic review search was used in the specialized literature. The results obtained showed that, legally, CNEN is responsible for the natural radioactive anomaly located between the cities of Pedra and Venturosa, and, therefore, it must adopt mitigation measures of radiological protection in the area where the anomaly is located.