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The main contributions of digitalisation to servitisation

International Journal of Manufacturing Technology and Management 2025年第3-5期39卷 358-389页

作者： Fronteli, Márcio Henrique Paladini, Edson Pacheco Gaspar Santa Catarina89111-009 Brazil Postgraduate Program in Production Engineering Federal University of Santa Catarina Carvoeira Florianópolis Santa Catarina88040-535 Brazil

Digital servitisation has aroused the interest of many researchers and managers. IoT, big data, and cloud computing are the most prominent technologies. This study sought to investigate the impact of other digital technologies (DTechs) on servitisation. This research is based on an exploratory-qualitative approach covering 146 published articles selected from the Scopus and Web of Science databases. We grouped the digital technologies that impacted servitisation positively. Our results were synthesised into four categories. These procedures allowed for building a framework that shows the contribution potential of digitisation as a success factor of servitisation, as well as competitive opportunities based on the combination of DTs. Digitisation is confirmed as the main driver for the development of digital-servitisation based business models. Our results aim to contribute to the industry in terms of establishing innovation strategies for business models. Copyright © 2025 Inderscience Enterprises Ltd.

关键词： Dynamic random access storage

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Circular Economy of Water: A Review of Scientific production 2nd

Circular Economy of Water: A Review of Scientific Production

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2nd International Conference on Water Energy Food and Sustainability, ICoWEFS 2022

作者： Endo, Gustavo Yuho Lenzi, Giane Gonçalves Postgraduate Program in Production Engineering Federal University of Technology – Paraná Ponta Grossa84017-220 Brazil

ISBN: (纸本)9783031268489

The general aim of the research was to analyse the scientific production on the circular economy of water in the Web of Science database. The systematic and integrative review used the Methodi Ordinatio, which made it possible to identify the most relevant articles on the circular economy of water. The main findings were the identification of 38 articles on the circular economy of water, in which the years 2018 and 2020 were the years with the most publications. The contexts already studied demonstrated that the circular economy is related to assessing the life cycle, the techniques related to the reuse and recovery of water, education models and strategic issues. The areas surveyed were mainly associated with the public area, tourism, entrepreneurship and manufacturing. It is essential to emphasise the importance of research related to water since the concern with this resource has been observed. The discussions are far from being exhausted;therefore, a proposal for a future agenda has been presented, indicating the direction for future research about the theme. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Water conservation

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Truck Scheduling: A Case Study in the Automotive Sector

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International Journal of Applied and Computational Mathematics 2024年第2期10卷 1-24页

作者： de Oliveira, Caroline Maruchi Kleina, Mariana da Silva, Arinei Carlos Lindbeck Postgraduate Program in Production Engineering Federal University of Parana Av. Cel. Francisco Heráclito dos Santos 210 Paraná Curitiba 19011 Brazil

Logistic companies face several problems in their services, leading to increased time and costs in their operations. These issues could be mitigated if decision-making were based on models that consider resource optimization and respect process constraints. An example of this problem is the queues generated by trucks at docks for loading and unloading materials in the automotive sector. Therefore, this work studies truck scheduling with the inclusion of forbidden time windows for breaks. The aim is to propose a mathematical model in order to minimize the time spent by drivers within companies and to present exact and approximate solutions with the use of Operational Research techniques and algorithms. Methods and algorithms that adapt to this type of problem were identified. Then, the mathematical model was developed, computationally implemented in the LINGO and Gurobi software, and validated according to the case study conditions. A metaheuristic based on the Simulated Annealing algorithm was implemented in Visual Basic for Applications language, and used as a form of approximate resolution for problems larger than the ones solved optimally. Computational experiments were conducted to evaluate the performance of the model and metaheuristic proposed. The GAP between the metaheuristic solution and the optimal solution is less than 4% for all problems tested. For larger problems, with more than 10 trucks and 5 docks, Gurobi optimization software is not able to find the optimal solution in a feasible time. However, the metaheuristic is able to find good solutions for bigger problems in a reasonable time. Therefore, results proved the performance of the mathematical model, indicating that truck scheduling is an important tool for automotive companies, as it can help to improve efficiency and productivity. © The Author(s), under exclusive licence to Springer Nature India Private Limited 2024.

关键词： Forbidden time window Open Shop Simulated Annealing Truck scheduling

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Evaluation of maintenance management of a thermoplastic industry using maintenance maturity model

Evaluation of maintenance management of a thermoplastic indu...

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2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022

作者： De Andrade, Wagner W.A. De Oliveira, Marcelo A. Vieira, Raimundo K. Postgraduate Program in Production Engineering Federal University of Amazon Rodrigo Octavio Ave. 6200 Manaus69080-900 Brazil

The present work focuses on a case study applying a maintenance management system model based on the degree of maturity in a thermoplastic industry that operates in the Industrial Pole of Manaus, in the state of Amazonas (Brazil). The system must support the decisions of the organization and promote progress in the company's continuous improvement system. The study was based on the answers to a questionnaire submitted to the maintenance, production and process engineering sectors. Internal perception was compared with external perception, in order to perform an analysis of the field of view of the three sectors on the current position of the maintenance sector in relation to the maturity model used for this analysis. From the application of the model, it was possible to develop a strategic action plan, based on lean practices, so that the maintenance areas advance towards the higher levels of the maturity scale, aiming to reach and maintain performance levels recognized as excellence. © 2022 Elsevier B.V.. All rights reserved.

关键词： Maintenance

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Multiyear temperature variation in tropical mountain peatlands from the southern Espinhaço Mountain Range in Brazil

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Journal of Mountain Science 2025年第3期22卷 820-837页

作者： Diego TASSINARI Cristiano CHRISTOFARO Uidemar M.BARRAL Camila R.COSTA Thiago A.A.PINTO William J.DO CARMO Bárbara P.C.SILVA Érica P.C.ARDOZO Alexandre C.SILVA Department of Soil Science Federal University of Lavras37203-202LavrasMGBrazil Department of Forestry Engineering Federal University of Jequitinhonha and Mucuri Valleys39100-000DiamantinaMGBrazil Postgraduate Program in Plant Production Federal University of Jequitinhonha and Mucuri Valleys39100-000DiamantinaMGBrazil Institute of Geosciences University of Brasilia70910-900BrasíliaDFBrazil Sao Paulo State University 15385-007Ilha SolteiraSPBrazil

Tropical mountain peatlands in Brazil’s Southern Espinhaço Range are vital ecosystems,acting as carbon reservoirs,hydrological buffers,and biodiversity hotspots while sustaining traditional livelihoods and preserving paleoenvironmental *** their importance,peatlands outside protected areas face degradation by grazing and fires,threatening their ability to regulate ecosystem processes sensitive to temperature,such as greenhouse gas emissions,water cycling,biological activity,and organic matter *** 2016,we have monitored peat temperatures in two contrasting peatlands–one preserved(within a protected area)and one disturbed(outside the protected area)–to understand how anthropogenic disturbances and climate variability impact these fragile *** patterns dominated temperature variation,accounting for 60% of air and 81%–92% of peatland temperature ***,average temperatures and amplitudes differed between peatlands and *** variability revealed stronger trends in the disturbed peatland,where a 1℃ increase in air temperature caused the trend to increase 0.70℃–0.87℃ on average at depths of 0.85 m–0.92 *** contrast,the preserved peatland showed smaller increases(0.20℃–0.24℃)at comparable depths(1.06 m–1.24 m),suggesting a greater *** variation in the monitored peatlands was majorly driven by seasonal patterns,as revealed by time series decomposition and sinewave *** temperature and amplitude varied between the two peatlands and among sampling sites,reflecting differences in environmental conditions and measurement *** variability also exhibited distinct effects between peatlands and monitoring *** time series trend component showed more pronounced fluctuations at shallower depths and in the disturbed *** every 1℃ increase in the trend component of the air temperature,the trend component of the peatland time series increased by 0.70℃ and 0.87℃on averag

关键词： Wetlands Organic soil Soil temperature Histosol Degradation

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Circular Economy Public Policies: A Systematic Literature Review

Circular Economy Public Policies: A Systematic Literature Re...

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2022 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2022

作者： De Melo, Thiago A.C. De Oliveira, Marcelo A. De Sousa, Sara R.G. Vieira, Raimundo K. Amaral, Thayane S. Postgraduate Program in Production Engineering Federal University of Amazon Rodrigo Octavio Ave. 6200 Manaus69080-900 Brazil Postgraduate Program in Sustainable Management System of Fluminense Federal University Passo da Patria St. 156 Niteroi24210-400 Brazil

The traditional form of production is called linear economy, which consists of extracting, transforming, producing, consuming and discarding, and is threatened by a series of factors. Among them, we can list the increase in the world population, which went from 3.3 billion people in 1965 to 7.79 billion in 2020, which will consequently lead to an increase in the consumer class. One of the philosophies for meeting this challenge is the Circular Economy (CE), which provides the economic system with an alternative flow model. CE is seen as a new form of sustainability and has gained popularity in the scarcity of resources, the circulation of materials and the facilitation of the reuse and recycling paradigm. Some countries, concerned about the impact of the linear economy on the environment, have proposed specific laws that address the shift from the traditional mode of production to a circular approach. Germany and Japan were pioneers in promoting CE in concrete policies. Followed by China in 2008. Given this scenario, this study aimed to raise which public policies were objects of study in the period 2017 to 2021 and which tools were used to analyze the policies. A systematic review of the literature was carried out, with articles searched in the ScienceDirect and WoS databases, using the descriptors: Circular Economy and Policies. The Sample consisted of 29 articles. The study identified an increase in initiatives to seek circularity through the formulation of public policies. Many countries are demanding more sustainable production processes, with an emphasis on energy savings and fewer carbon emissions. For this, a waste treatment policy is an initial step to seek greater degrees of circularity. The most used tool to study these policies was Framework 9R. Because with it you have an idea of what initial stage the country is in and what stage can be pursued in the future. © 2022 Elsevier B.V.. All rights reserved.

关键词： Public policy

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Support from Governance, Leadership and Smart People in the context of Smart Cities Development

Support from Governance, Leadership and Smart People in the ...

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engineering, Technology and Innovation (ICE/ITMC), IEEE International Conference on & Management of Technology (IAMOT) Joint Conference, International Association For

作者： Marcia Sierdovski Luiz Alberto Pilatti Priscila Rubbo Rosmeiri Apra Ribeiro Ferras Juliana Vitória M. Bittencourt Regina N. Pagani Doctoral candidate of Postgraduate Program in Production Engineering Federal Technological University of Paraná Ponta Grossa Brasil Postgraduate Program in Production Engineering Federal Technological University of Paraná Ponta Grossa Brasil

ISBN: (纸本)9781665488181

The context of smart cities has been increasingly recurrent in world literature. The present study aims to analyze the contributions of leadership, governance, and people to the development of smart cities. To achieve this objective, the methodology Methodi Ordinatio was used, and data was collected from Scopus, Science Direct, and Web of Science using the following keywords combinations: smart cities, smart governance, smart leadership, and smart people. The results of the analysis reveal the importance of people acting with intelligent practices, as well as the need to encourage leadership and governance strategies. If there is a link between these three pillars, with the intention of sustainable development aimed at the common good, the chances of institutionalizing smart cities are greater. The study's conclusions point to the need for interconnection between individuals, leaders, and governments for a city to develop intelligently, therefore, having identified the absence of a concept that encompasses the three dimensions, this article contributes to an expanded conceptualization of smart cities.

关键词： Leadership Technological innovation Smart cities Aggregates Bibliometrics Government Drives

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The importance of mobile applications for companies' brand image: A study using structural equations 9th

The importance of mobile applications for companies' brand i...

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9th International Conference on Information Technology and Quantitative Management, ITQM 2022

作者： Mariano, Ari Melo Silva, Marcel Carneiro Mello, Tarcilla Mariano Santos, Maíra Rocha Department of Production Engineering University of Brasília Brazil Department of Computer Science University of Brasilia Brazil Postgraduate Program in Communication University of Brasília Brazil Center for Advanced Multidisciplinary Studies University of Brasilia Brazil

Because of the advancement of new technologies and the popularity of mobile devices, this study was designed to identify whether apps have a representative influence on companies' brand image. To fulfill this objective, descriptive research based on the structural equation model was carried out with the help of the statistical software Adanco. The study was conducted in Brasilia and applied in a virtual environment in the Google forms platform. The link was made available and disseminated to students of one university and through the WhatsApp and Facebook social networks, having 350 mobile device users as participants. The questionnaire was validated with α=0.81. The results of this research suggest that applications can influence 30.5% of a brand's image, thus raising the discussion that mobile applications will soon have equal or even greater importance than a website and social networks, tools that were once trends and are now essential requirements for organizations. Thus, for a company to be successful, it must not only be seen as a company with high performance and quality standards, but it must also represent a solid brand with a good reputation in the market and create and cultivate an image that connects emotionally with its consumer public. © 2022 The Authors. Published by Elsevier B.V.

关键词： Social networking (online)

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Evaluation of maintenance management of a thermoplastic industry using maintenance maturity model

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Procedia Computer Science 2022年 204卷 635-642页

作者： Wagner W.A. de Andrade Marcelo A. de Oliveira Raimundo K. Vieira Postgraduate Program in Production Engineering of Federal University of Amazon Rodrigo Octávio Ave. 6200 Manaus 69080-900 Brazil

关键词： Maintenance Maturity model Management system Continuous improvement

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A Systematic Review: Big Data Analytics and Landslides 13

A Systematic Review: Big Data Analytics and Landslides

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13th Landslides and Engineered Slopes. Experience, Theory and Practice, ISL

作者： da Silva Azevedo, Caio Correia, Thaís Passos Corsi, Alessandra Cristina de Mesquita Spinola, Mauro Quintanilha, José Alberto Postgraduate Program in Production Engineering The Polytechnic School of the University of São Paulo – PRO - EPUSP Brazil Postgraduate Program in Transportation Engineering The Polytechnic School of the University of São Paulo – PTR - EPUSP Brazil Institute for Technological Research - IPT Production Engineering Department The Polytechnic School of the University of São Paulo – PRO – EPUSP Brazil Institute of Energy and Environment of the University of São Paulo - IEEUSP Brazil

Landslides are among the natural disasters that most affect the population in Brazil and in the world, as they are responsible for numerous human, economic, social and environmental losses. High-resolution aerial and satellite imagery, that contribute to identify this type of event are valuable sources of information, even if they are not the only ones. Machine learning (ML) techniques are often adopted to identify relevant patterns, as high performance computing and data visualization are widely and successfully applied to natural disaster-related data, particularly for landslides. The greater the volume of data processed during machine learning, the better the accuracy of the results obtained. Among other reasons, Big Data (BD) has stood out for its ability to integrate and generate a large volume of data from different sources and in different formats. The use of BD concepts and techniques has become common in several areas of knowledge, in particular for the storage and analysis of data related to natural accidents and, thus, helping to improve decision making as well as prevention of disasters. With the emergence of the BD, it came the challenge of aligning decision-making processes, so that there is no shortage of information or useless data for decision makers. In the case of Brazil and considering, especially, applications to landslide data, there is a lack of articles dealing with the subject. The aim of this study is to investigate the main features used on machine learning techniques, to map the literature, thus pointing out new routes and opportunities in the field. In the systematic review, the eligibility criteria adopted are studies published in the last 4 years (from January 2015 to December 2019), in English, at national and international levels, including publications in scientific events and relevant journals, through databases such as Scopus and Web of Science. The search was performed in a structured form with the terms "Big Data*", "machine lea

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