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The mine sequencing problem is NP-hard. Therefore, simplifying it is necessary. One way to do this is to employ clusters as input instead of individual blocks. The mining cut clustering problem has been little addressed in the literature, and the solutions used are almost always heuristic. We solve the mining cut clustering problem, which is NP-hard, through single- and multi-objective optimization, finding results that are local optima in acceptable computational time.

We first elaborate an ILP-based model to address the mining cut clustering problem. We employ a mono-objective approach and two multi-objective approaches, solving all these models by constraint programming. To choose the best solutions generated by multi-objective approaches, we employ two multi-criteria decision analysis approaches, considering different weight configurations. We developed a case study using real data.

We verified that the approaches based on multi-objective optimization performed better than the mono-objective approach for the economic return criterion. The weighted-sum multi-objective approach presented the best results considering all objective functions used. Once viable solutions were obtained through multi-objective optimization, multi-criteria decision analysis approaches almost always selected the same solution. We obtained solutions that are local optima in acceptable computational time.

This study solves an instance with 80 blocks. Consequently, it is aimed at short-term mine planning. The methodology has not yet been evaluated in large instances related to medium- and long-term mine planning.

This is the first time that multi-objective optimization has been employed to solve the mining cut custering problem. Even other problems related to mine planning were, at most, solved by goal programming, so that multi-objective optimization is a knowledge that is not widespread among mining researchers. The results are consistent, and the study achieves the objective of finding quality solutions to an NP-hard problem in an acceptable computational time.

The purpose of this study is to verify whether managers’ strategic orientation influences decision-making related to differentiation and whether these two factors impact on the performance of the firms in the Brazilian wine industry.

A survey was conducted with representatives from 123 wineries located in the following Brazilian states: 78.86 per cent in Rio Grande do Sul; 13.01 per cent in Santa Catarina; 2.44 per cent in Paraná; 2.44 per cent in São Paulo; 1.63 per cent in Bahia; and 1.63 per cent in Pernambuco. The data were analyzed using multivariate statistical techniques, resulting in a structural equations model of the constructs.

The research findings show that there is a positive association between prospector orientation and differentiation. Analyst positioning was negatively associated with differentiation of winery companies. It was also possible to show that differentiation has a positive relationship with performance.

While a previous study attempted to identify wineries’ strategic orientation using other theoretical constructs, this study makes a contribution to consolidating reflections on strategic orientation focused on differentiation and performance. The results contribute to expanding the scientific debate by filling a gap in existing theory and also provide information of use to decision-makers, demonstrating, which approaches improve differentiation, and hence, performance.

This paper aims to examine the relationships between socioeconomic development, renewable energy and the innovative process by providing: a descriptive analysis; a co-occurrence analysis of terms, thematic mapping and conceptual structure; and the typology of the textual corpus.

To analyze the relationship between “renewable energies, socioeconomic development and the innovative process,” it is necessary to build a theoretical foundation that contains the relevant scientific studies and reflects the current state of the art on the subject. For this, this study developed a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses research protocol to answer the relationship on the theme.

Research shows a global understanding of the need to invest in developing studies to reduce carbon dioxide emissions and improve economic growth. The main contributions lie in providing a typology of the state of the art, identifying the joint relationships between themes, insights into the key themes and indicating themes that must be developed. This study may also support future empirical studies as it provides a theoretical foundation for formulating hypotheses, which can be tested through qualitative and quantitative approaches.

The innovative character consists of addressing a shortage of SLRs on this theme. Thus, this paper fills this gap by providing a theoretical foundation for future scientific and academic knowledge generation. Furthermore, regarding the interdisciplinary aspects of this research as contributions, this paper presented different approaches and theoretical perspectives.

The purpose is to market a reinterpretation of Brazilian economic history highlighting the importance of non-tradable goods to understand major historical developments such as the lack of industrialization in the mining boom; the rise and contribution of industries to development in the early 20th century; indexation as hyperinflation in the late 20th century; growth and cycles in the early 21st century.

Section 2 introduces analytical perspectives on the relationship between non-tradables, transport costs and external shocks. Section 3 presents a historical overview of the gold and coffee cycles in the Brazilian economy, which highlights the crucial role played by transport costs in the genesis of industrialization. Thus, in a more precise way, industrialization was not an import substitution process but the substitution of non-tradables by the domestic tradable manufactures.

Section 4 shows that Brazilian statistical records and historiography disregard this characterization and, to that extent, underestimate economic growth in the primary export phase (1872–1920) and overestimate growth rates in the industrialization period (1920–1940). Section 5 shifts to the end of the 20th century to analyze the relationship between non-tradables, indexation and hyperinflation. Section 6 concludes with a brief discussion of the role played by the terms of trade and non-tradables in the unfolding of the 2014 economic crisis.

Distance from international markets and a continental geographic size made transport costs in Brazil historically prohibitive: the relevance of non-tradables in the Brazilian economic history. While the theme is not new, it seldom received proper attention in the historiography.

The purpose of this study is to characterize and compare the results of the inspection mark of handmade and industrially processed Minas frescal cheese. It is one of the most commonly made and consumed cheeses in Brazil, and its production processes range from handmade cheeses produced in small household production sites to cheeses manufactured in large dairy factories subject to federal inspection.

The samples were stored for 10 days at 4°C in a biochemical oxygen demand chamber. Cheeses were analyzed using physicochemical analyzes, yield and syneresis indices and microbiological analyses.

The cheese A met the criterion of regulatory classification for very high humidity (65.32 g/100 g), while cheese B did not meet the criterion (54.38 g/100 g). Cheeses A (19.01 g/100 g) and B (24 g/100 g) showed average fat contents that did not comply with current legislation. The most probable number per g of thermotolerant coliforms was outside the acceptable range (>24 × 102 MPN/g), and Salmonella spp. were present in the tested samples. The highest yield was observed for handmade cheese (an average of 5.35 L of milk to produce 1 kg of cheese), which had the highest syneresis during the storage period (p = 0.004), reaching 14.26% on the 10th day of storage.

Municipal and state inspection certificates do not ensure the microbiological quality of Minas frescal cheese, indicating flaws in the good manufacturing practices and/or in the milk pasteurisation stage.

This study aims to evaluate the carbohydrate content, ingredient profile and degree of processing of supposedly “low-carb” foods in the Brazilian market.

Information was collected from physical supermarkets in Divinópolis, Minas Gerais and on websites throughout Brazil between July and September/2020. The carbohydrate content was assessed in g/100 g, and ingredient lists were investigated for the presence of carbohydrate-rich ingredients. The degree of processing of the products was evaluated by NOVA classification to determine whether the term “low carb” had been translated into Portuguese.

This study evaluated a total number of 164 products, the most frequent were bakery products (34.7%), granola and cereal bars (19.5%) and candies and desserts (14.0%). This claim was also found in low-carb foods such as cheese and chicken. Most food products evaluated (56.0%) were classified as ultra-processed, with the group having the highest carbohydrate content (20.0; 3.0–47.5g/100g), compared to products classified as processed foods (p < 0.01). The ingredient lists showed items rich in carbohydrates, such as cassava and corn derivatives. In 162 products, a low-carb claim was displayed without translation into Portuguese. These data demonstrate that most of these products are ultra-processed and have a high glycidic content.

To the best of the authors’ knowledge, the study was a pioneer investigation of the ingredients of “low-carb” foods, their carbohydrate composition and their degree of processing based on the NOVA classification.