Article
Chemistry, Multidisciplinary
Yen-Chun Wen, Wun-Hwa Chen
Summary: This study proposes a system construction approach under Industry 4.0 infrastructure that combines microservice quality assessment framework, data modeling, and simulation methodology to achieve innovation and value cocreation goals. The framework integrates dynamic process flow, service-dominant logic design, and reliability assessment, using a multilayer perceptron (MLP) prediction model, to assist decision makers in optimizing service innovation and decision-making processes.
APPLIED SCIENCES-BASEL
(2022)
Article
Green & Sustainable Science & Technology
Lubos Cerveny, Roman Sloup, Tereza Cervena, Marcel Riedl, Petra Palatova
Summary: The document aims to provide effective guidelines and recommendations for the implementation process of Industry 4.0 in the furniture sector, identifying the key drivers for implementation. Respondents indicate that the sector is currently at the Industry 2.0 level and recommend inter-company cooperation for small and medium enterprises.
Article
Chemistry, Multidisciplinary
Brecht De Beelde, David Plets, Wout Joseph
Summary: The paper presents a hybrid wireless sensor network architecture designed for industrial environments to ensure minimum data rates and maximum latency, with continuous monitoring and real-time reconfiguration to meet requirements.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Industrial
Mingxing Li, Daqiang Guo, Ming Li, Ting Qu, George Q. Huang
Summary: The widespread adoption of Industry 4.0 technologies is revolutionising manufacturing operations. This paper introduces a novel concept of operations twins (OT) for achieving synchronisation between production and intralogistics (PiL) through the use of Industry 4.0 technologies and innovative operations management strategies.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Computer Science, Interdisciplinary Applications
Hector Canas, Josefa Mula, Manuel Diaz-Madronero, Francisco Campuzano-Bolarin
Summary: This article focuses on the advances, advantages, limitations, requirements, and methodologies in implementing the strategic Industry 4.0 (I4.0) initiative, particularly in the field of production planning. It proposes a taxonomy of I4.0 design terms and presents models, algorithms, and components used in an I4.0 setting.
COMPUTERS & INDUSTRIAL ENGINEERING
(2021)
Article
Engineering, Industrial
Philipp Spenhoff, Johan C. (Hans) Wortmann, Marco Semini
Summary: The combination of lean production and Industry 4.0 has great potential in advancing operations management and production control. This article proposes a production control concept called every product every cycle (EPEC) 4.0, which combines Heijunka with cyber-physical systems technologies to achieve flexibility and efficiency in the semi-process industry. The findings from a validation case study in the automotive supply industry are presented.
PRODUCTION PLANNING & CONTROL
(2022)
Article
Computer Science, Interdisciplinary Applications
Hector Canas, Josefa Mula, Francisco Campuzano-Bolarin, Raul Poler
Summary: This article introduces the challenges posed by automation and collaboration in Industry 4.0 smart factories and proposes a conceptual framework for production planning and control systems in this context.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Dan Luo, Simon Thevenin, Alexandre Dolgui
Summary: This paper discusses the impact of Industry 4.0 on production planning approaches and software. A digital twin framework is proposed to integrate production planning systems and frontier technologies. The application and benefits of technologies such as the internet of things, cloud manufacturing, blockchain, and big data analytics in production planning are analyzed. Future research and application directions in production planning are also discussed.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Estefania Tobon-Valencia, Samir Lamouri, Robert Pellerin, Alexandre Moeuf
Summary: This article proposes a guide for the digital transformation of a manufacturing SME's medium-term production planning process. By analyzing the current production planning process model of a group of SMEs, it identifies the lack of decision support tools and the need for increased data reliability and agility. It suggests using Industry 4.0 technologies and process modeling to improve the planning process. The article also provides a method to help SMEs start the digitization of their production planning process.
Article
Green & Sustainable Science & Technology
Monirahmad Rasoolizadeh, Mashallah Salarpour, Mahmoud Ahmadpour Borazjani, Amin Nikkhah, Hamid Mohamadi, Valiollah Sarani
Summary: This study applied a hybrid method to optimize five tropical crop production systems and found that managing input consumption can improve the exergy efficiency of the systems.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Monirahmad Rasoolizadeh, Mashallah Salarpour, Mahmoud Ahmadpour Borazjani, Amin Nikkhah, Hamid Mohamadi, Valiollah Sarani
Summary: In this study, a hybrid exergy analysis approach was used to optimize five tropical crop production systems. The evaluation using Cumulative Degree of Perfection and Renewability Index showed that banana had the highest exergy efficiency. Optimization results revealed a noticeable enhancement in exergy efficiency for all tropical crop production systems in the optimized mode.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Green & Sustainable Science & Technology
Akshay G. Khanzode, P. R. S. Sarma, Sachin Kumar Mangla, Hongjun Yuan
Summary: This study focuses on identifying and analyzing the barriers in implementing Industry 4.0 for sustainable production, aiming to find causal relationships among them and proposing ways to mitigate these barriers by allocating organizational resources. The study also highlights the key influencing factors and their impact on overcoming challenges in the adoption of Industry 4.0, providing valuable insights for small business practitioners and government analysts.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Mechanics
Monzure-Khoda Kazi, Fadwa Eljack, E. Mahdi
Summary: This study presents an approach for smart manufacturing utilizing artificial neural network models to predict load vs. displacement curves of specific composite materials, trained and tested using the Keras library in Python for effective implementation of control algorithms and automated systems.
COMPOSITE STRUCTURES
(2021)
Review
Green & Sustainable Science & Technology
Walter Cardoso Satyro, Jose Celso Contador, Sonia Francisca de Paula Monken, Anderson Ferreira de Lima, Gilberto Gomes Soares Junior, Jansen Anderson Gomes, Joao Victor Silva Neves, Jose Roberto do Nascimento, Josiane Lima de Araujo, Eduardo de Siqueira Correa, Leandro Simplicio Silva
Summary: In order to reduce climate change and benefit humanity, it is necessary to minimize the environmental impacts of industries. This study aims to identify and analyze cleaner production strategies associated with Industry 4.0, in order to optimize manufacturing systems and reduce environmental impacts.
Article
Agronomy
Heinz Bernhardt, Mehmet Bozkurt, Reiner Brunsch, Eduardo Colangelo, Andreas Herrmann, Jan Horstmann, Martin Kraft, Johannes Marquering, Thilo Steckel, Heiko Tapken, Cornelia Weltzien, Clemens Westerkamp
Summary: This study analyzes the main aspects of Industry 4.0 and suggests that these methods are beneficial for agriculture, but require adaptation to the specific structure of agriculture. There is still a need for action in the organizational and technical networking of systems in agriculture, similar to that seen in industry.
Article
Chemistry, Multidisciplinary
Arkadiusz Kowalski, Robert Waszkowski
APPLIED SCIENCES-BASEL
(2020)
Article
Green & Sustainable Science & Technology
Joanna Helman
Article
Materials Science, Paper & Wood
Agnieszka Jankowska, Pawel Kozakiewicz, Marcin Zbiec
Summary: The study evaluated the effects of flat slicing processes on wood surface characteristics of European beech, focusing on the relationship between wettability, roughness, and machining methods. It found that thinner veneers had smaller thickness variations, and that roughness measured parallel to the grain affected the contact angle. The study also confirmed the influence of compression on roughness measured perpendicular to the grain.
Article
Engineering, Multidisciplinary
Maria Rosienkiewicz
Summary: This paper introduces new hybrid forecasting models that combine artificial intelligence-based methods with traditional techniques for addressing the forecasting problem in manufacturing systems. The empirical verification is based on real data from production planning, maintenance, and quality control, and an algorithm for forecasting accuracy assessment and optimal method selection for industrial companies is presented. This approach can be a useful tool for advanced manufacturing companies and support the initial steps of transitioning towards smart factory and Industry 4.0 implementation.
EKSPLOATACJA I NIEZAWODNOSC-MAINTENANCE AND RELIABILITY
(2021)
Article
Chemistry, Multidisciplinary
Arkadiusz Kowalski, Robert Waszkowski
Summary: This article discusses an innovative method of considering environmental factors when selecting loaders and haul trucks for transport tasks in deep mines, aiming to reduce emissions of pollutants and lower transportation costs.
APPLIED SCIENCES-BASEL
(2021)
Article
Green & Sustainable Science & Technology
Maria Rosienkiewicz, Joanna Helman, Mariusz Cholewa, Mateusz Molasy
Summary: The paper explores the readiness of Polish students for open innovation (OI) and finds that they often passively use OI platforms, facing barriers such as a lack of knowledge and trust issues. Changes in mindset, adjustments to university curricula, and fostering an open innovation culture are identified as critical steps for improvement.
Article
Energy & Fuels
Marcin Zbiec, Justyna Franc-Dabrowska, Nina Drejerska
Summary: This paper studies the production and usage of wood in Europe, finding that over half of harvested wood is used for energy purposes. The findings are crucial for assessing the amount of carbon dioxide released from wood combustion.
Article
Energy & Fuels
Joanna Helman, Maria Rosienkiewicz, Mariusz Cholewa, Mateusz Molasy, Sylwester Oleszek
Summary: Regulations, depletion of natural resources and changing customer demands are driving manufacturing companies to consider environmental issues in product development. Current PLM systems are not adequately adapted to sustainability issues. This research provides a systematic method for selecting and evaluating sustainability indicators for automotive lifecycle management and aims to support academia and industry in pursuing greener development. The concept of GreenPLM and its future applications are introduced.
Proceedings Paper
Computer Science, Hardware & Architecture
Maria Rosienkiewicz
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, ISAT 2019, PT III
(2020)
Article
Materials Science, Paper & Wood
Jegatheswaran Ratnasingam, Lee Y. Yi, Amir A. A. Azim, Rasmina Halis, Lim Choon Liat, Albert Khoo, Muhamad M. M. Daud, Abdul L. Senin, Hazirah A. Latib, Maria V. Bueno, Marcin Zbiec, Josefina Garrido, Juanjo Ortega, Maria V. Gomez, Rokiah Hashim, Sarani Zakaria, Shahriman Z. Abidin, Mohd Nor Z. M. Amin
Proceedings Paper
Computer Science, Artificial Intelligence
Mariusz Cholewa, Joanna Helman, Mateusz Molasy, Maria Rosienkiewicz
INTELLIGENT SYSTEMS IN PRODUCTION ENGINEERING AND MAINTENANCE
(2019)
Proceedings Paper
Engineering, Manufacturing
Mateusz Molasy, Mariusz Cholewa, Maria Rosienkiewicz, Joanna Helman
ADVANCES IN MANUFACTURING II, VOL 3 - QUALITY ENGINEERING AND MANAGEMENT
(2019)
Proceedings Paper
Economics
Arkadiusz Kowalski, Krzysztof Monastyrski, Vaclav Zubr
HRADEC ECONOMIC DAYS, VOL. 9, ISSUE I
(2019)
