Paper aims: This paper aims to identify the degree of interest and expected return time on investment in Internet of Things (IoT) and Big Data Analytics (BDA) technologies by Brazilian logistics companies. Originality: A logistics system that meets the requirements imposed by Industry 4.0 is known as Logistics 4.0. According to the current scientific literature, IoT and BDA technologies are the most promising for the Logistics 4.0 applications. Studies on the adoption of these technologies in Brazil are still embryonic and this paper collaborates to narrow this knowledge gap. Research method: Exploratory research was conducted using the quantitative approach. Main findings: The evidence of the interest in investment in IoT and BDA by Brazilian logistics companies, confirming the current literature. Implications for theory and practice: The identification of the intended practical applications for Iot and BDA, as well as the expected difficulties in the implementation of these Technologies.
The concept of Logistics 4.0 works closely to that of Industry 4.0. While Industry 4.0 proposes a disruptive change in manufacturing, Logistics 4.0 advocates a transformation in the way organizations buy, manufacture, sell, and deliver products. The objective of this paper is to identify, in Brazilian companies, the degree of interest in the investment in six emerging technologies applicable to logistics, according to scientific literature, as well as to identify the current perception of data quality of these companies. To achieve these objectives, an online survey was conducted. The research showed that the technologies that most interest Brazilian companies are Internet of Things (IoT) and cloud computing, both with 82% of investment intention. The two technologies that least interested companies are crowdsourcing and 3D printing, both with 68% investment disinterest among respondents.
Paper aims: This study aims to evaluate the economic-financial impact that the inclusion of environmental variable CO2 cost attributed to transportation (fuel consumption) and manufacturing activities (electricity consumption) represents in a distribution network optimization design. Originality: This is the first work carried out in Brazil to present a feasible eco-efficient distribution network in the technical and economic aspects considering the tax aspects of ICMS. In addition, this work addresses the inclusion of CO2 as a cost associated with transportation and manufacturing activities. Finally, for the first time in literature, a reference framework that considers environmental variables is presented. Research method: This study used the systematic literature review method to review the referential framework and carried out a cost reduction using specialist optimization software. Main findings: The technical and economical feasibility in achieving reduction of both total logistic and CO2 costs in a distribution network design in Brazil and the inexistence of trade-offs without technical solution to the eco-efficient configuration of the distribution network. Implications for theory and practice: The results of this paper presents a relevant contribution to logistics professionals and researchers, as it was able to present a framework and demonstrated the feasibility of an eco-efficient network design.
The Port of Santos plays a fundamental and strategic role in the Brazilian foreign trade context, being recognized as one of the main points of entry and exit of goods in the country. This paper analyzes the port's movements from 2005 to 2022 to understand cargo flows, identify opportunities for improvement given the challenges faced, and suggest trends for the future of port operations. This paper results from extensive data collection whose analysis reveals operational patterns and valuable insights to improve port management, optimize logistics operations, and promote the efficient flow of goods.
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