Article
Green & Sustainable Science & Technology
Malvina Roci, Niloufar Salehi, Saman Amir, Sayyed Shoaib-ul-Hasan, Farazee M. A. Asif, Ales Mihelic, Amir Rashid
Summary: A transition towards circular manufacturing systems (CMS) brings awareness of economic and environmental benefits. This research proposes a multi-method model architecture for modelling and simulating CMS from a complex adaptive systems perspective. The applicability of the proposed approach is illustrated through a case study of a white goods manufacturing company. The analysis of simulation results shows the impact of decisions regarding business models, product design, and supply chain on the CMS performance.
SUSTAINABLE PRODUCTION AND CONSUMPTION
(2022)
Article
Engineering, Industrial
Lea Rupcic, Eleonore Pierrat, Kilian Fricke, Torsten Moll, Michael Z. Hauschild, Alexis Laurent
Summary: Aircraft engine manufacturing has significant environmental impacts, particularly in relation to integrated bladed rotors. This study evaluates the life cycle environmental impacts of manufacturing a Ti-6Al-4 V alloy rotor and explores potential reductions through recycling alloy chips. The analysis highlights the material stage as the main contributor, and recycling titanium chips into alloy can significantly reduce climate change impact.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2022)
Article
Engineering, Chemical
Angela Luft, Sebastian Bremen, Nils Luft
Summary: There is a growing demand for flexibility in manufacturing to adapt to market volatility and provide customization for customers. Additive manufacturing (AM) is being considered as a solution to make production more flexible. This paper develops a conceptual model and application guideline to quantify the impact of AM on volume and mix flexibility in production systems. A case study is presented to demonstrate the potential impact of additive technologies on manufacturing flexibility. This work allows factory planners to assess the effects of AM on flexibility and design their production systems accordingly.
Article
Engineering, Industrial
Chao Liu, Leopold Le Roux, Carolin Korner, Olivier Tabaste, Franck Lacan, Samuel Bigot
Summary: Metal Additive Manufacturing (AM) has gained attention due to its advantages, but the complex relationships limit its widespread use. To facilitate its development, this paper proposes a Digital Twin-enabled collaborative data management framework, which has been validated through practical implementation.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yassine Qamsane, James Moyne, Maxwell Toothman, Ilya Kovalenko, Efe C. Balta, John Faris, Dawn M. Tilbury, Kira Barton
Summary: Digital Twin (DT) is a newly emerging technology recognized as a crucial element for digital transformation. This paper introduces a methodology for developing DT solutions in manufacturing systems, based on the System Development Life Cycle process and considering specific DT characteristics and manufacturing context. The methodology aims to achieve scalability, reusability, interoperability, interchangeability, and extensibility in DT capabilities.
Article
Materials Science, Composites
Yong Du, Jiageng Chen, Jie Qin, Qiufeng Meng, Shirley Z. Shen
Summary: The PVA/PEDOT:PSS composite films prepared via solution 3D printing technology exhibit significantly improved electrical conductivity and power factor, with the conductivity increasing to 1085 S/cm and power factor increasing to 45 μWm(-1)K(-2). Additionally, the composite films show excellent flexibility and resistance change rate after bending for 300 times.
COMPOSITES COMMUNICATIONS
(2022)
Article
Materials Science, Composites
Wenlong Xu, Yong Du, Qiufeng Meng
Summary: In this study, a thermoelectric composite was prepared using MoS2 as filler and SV4 slurry with PEDOT:PSS as matrix through solution 3D printing technology. The composites showed decreased electrical conductivity with the increase of MoS2 content, but achieved the highest power factor at 360 K with 69 wt% of MoS2. Additionally, the composite exhibited good flexibility after bending 300 times at a radius of 3.02 mm.
COMPOSITES COMMUNICATIONS
(2021)
Article
Engineering, Industrial
Marta Perez-Perez, Ana-Maria Serrano-Bedia, Maria-Concepcion Lopez-Fernandez
Summary: The study found that manufacturing flexibility is a dual-dimensional concept composed of internal and external manufacturing flexibility capabilities, which are complementary and hierarchical in its development. Contrary to previous assumptions, internal flexibility does not always express its final competitive effect through external flexibility, which only partially mediates the relationship between internal flexibility and competitive advantage.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Engineering, Industrial
Daisy Valle Enrique, Erico Marcon, Fernando Charrua-Santos, Alejandro G. Frank
Summary: This study examines the contribution of Industry 4.0 technologies to manufacturing flexibility through multiple case studies. The findings suggest that Industry 4.0 technologies are mainly used to improve machine flexibility, with cloud services, IoT, and data analytics serving as the foundation for flexible operations.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Green & Sustainable Science & Technology
Rajeev Rathi, Mahender Singh Kaswan, Jose Arturo Garza-Reyes, Jiju Antony, Jennifer Cross
Summary: In the past few decades, manufacturing industries have been forced to focus on sustainability alongside operational efficiency due to a competitive landscape, learned customers, and rigorous regulations. This study developed a systematic Green Lean Six Sigma (GLSS) framework that aims to improve operational efficiency while considering environmental and social sustainability. The framework was tested in a leading manufacturing company and incorporates different tools of the Green paradigm, Lean, and Six Sigma, from problem identification and assessment to the implementation of measures. Lifecycle assessment and social lifecycle assessment were used to evaluate environmental and societal performance. The GLSS framework, with its sustainability focus, enhances environmental capability, process performance, and provides a new perspective for researchers and practitioners in achieving higher sustainability dynamics in GLSS projects.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Civil
Mauricio Sanchez-Silva, Wilmar Calderon-Guevara
Summary: Large infrastructure projects around the world often face significant delays, cost over-runs, and benefit shortfalls, questioning the effectiveness of decision-making models. Incorporating flexibility into the design and management of such projects is crucial for meeting performance objectives. This paper discusses the key elements of the decision-making process and explores the value of flexibility in large infrastructure, using an airport design and expansion as a case study.
STRUCTURE AND INFRASTRUCTURE ENGINEERING
(2022)
Article
Management
Baolong Liu, Felix Papier
Summary: Motivated by remanufacturing systems in various industries, the study develops a hybrid manufacturing/remanufacturing system with controlled two-way substitution between new and remanufactured products. The optimal policy on the product level exhibits a switching-curve structure, indicating that two-way substitution on the component level significantly reduces total cost. The study also explores the impact of strategic cost on the substitution phenomenon, finding it primarily beneficial for profit-oriented firms while sustainability-oriented firms require less frequent product substitution.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Computer Science, Interdisciplinary Applications
Linbei Jiang, Shaohui Su, Xin Pei, Changyong Chu, Yiming Yuan, Kuan Wang
Summary: Digital twin (DT) is a dynamic intelligent system that combines virtual and realistic models with multiple data sources to monitor product operation status and predict product life in smart manufacturing. However, most current DT modeling approaches focus on individual objects and lack modeling approaches for the whole life cycle and multiple objects, hindering the mining and utilization of data from all aspects of products. This paper proposes a part-level DT modeling approach based on PLM/PDM theory, integrating property, process, simulation, and feedback models within a digital thread communication framework.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Sebastian Mayer, Leo Francoso Dal Piccol Sotto, Jochen Garcke
Summary: This paper provides a broad overview of design features in living systems that promote flexibility and introduces a general formalism for system flexibility optimization, aiming to facilitate interdisciplinary, bio-inspired research.
Article
Computer Science, Interdisciplinary Applications
Xianyu Zhang, Xinguo Ming, Yuguang Bao
Summary: This paper studies the flexible layout and optimization of resources for a flexible smart manufacturing system in mass personalization manufacturing model. The research solves the flexible production preparation problem of sales order based on customer personalization. The study improves the utilization rate of production layout space and equipment and saves the total production cost. The findings of this research have important reference value for the research of flexible smart manufacturing system in a new manufacturing model facing mass personalization.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Endocrinology & Metabolism
Denise Machado Mourao, Bruna Martins Grassi Sedlmaier, Victor Luiz Rocha Pires, Grasiely Faccin Borges
Summary: Educational intervention about diabetes for students and school staff in Brazil is effective in improving knowledge and perception of this condition.
INTERNATIONAL JOURNAL OF DIABETES IN DEVELOPING COUNTRIES
(2023)
Article
Computer Science, Interdisciplinary Applications
D. Mourtzis, J. Angelopoulos, N. Panopoulos
Summary: In the realm of the fourth industrial revolution, ensuring the flawless and continuous operation of technology-rich workplaces is a challenging problem. This paper presents a tool based on intelligent decision making and augmented reality (AR) to assess technician skills, allocate jobs, and provide task-related support. The framework is validated in a real industrial case study of a CNC machine manufacturer.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Automation & Control Systems
Panagiotis Stavropoulos, Thanassis Souflas, Christos Papaioannou, Harry Bikas, Dimitris Mourtzis
Summary: Chatter is a major limitation in milling processes, affecting surface quality and machine tool health. Existing detection methods lack adaptability and may be overfit. This study proposes a vibration-based detection method with high classification performance and fast detection speed.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Review
Chemistry, Multidisciplinary
Panagiotis Stavropoulos, Alexios Papacharalampopoulos, Kyriakos Sabatakakis, Dimitris Mourtzis
Summary: The automation of workflows for the optimization of manufacturing processes through digital twins is achievable with the matured technologies of Industry 4.0. However, there is potential for further exploration of technologies like metamodelling languages. A framework utilizing an automation workflow knowledge database, technology classification, and metamodelling language is presented, highlighting its usefulness in creating digital twins for manufacturing processes while involving human input. Two process control paradigms are used to illustrate the applicability of the approach within the framework of certifiable human-in-the-loop process optimization.
APPLIED SCIENCES-BASEL
(2023)
Review
Chemistry, Multidisciplinary
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: Blockchain is a distributed and decentralized database that allows for secure sharing of information among computer network nodes. In the context of Industry 4.0, digitalization of manufacturing systems has increased the importance of big data sets, but also heightened the risk of cyberattacks. Blockchain technology contributes to intelligent manufacturing by protecting data validity, facilitating inter- and intra-organizational communication, and improving manufacturing processes' efficiency.
APPLIED SCIENCES-BASEL
(2023)
Editorial Material
Chemistry, Multidisciplinary
Nikolaos Papakostas, Lihui Wang, Sotiris Makris, Dimitris Mourtzis
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Dimitris Mourtzis, Nikos Balkamos
Summary: This research adopts a case study from Process Industries to design a flexible production line framework, automate quality control points, and improve manufacturing system performance. A digital shadow of a production line is developed to collect, analyze, and identify potential issues, and an edge computing system is implemented for reliable and low-latency communications. The digital model is validated using statistical Design of Experiments and Analysis of Variance. The goal of this research is to improve the design and performance of the industry's production section and increase production rate and product mix.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Information Systems
Dimitris Mourtzis, Sofia Tsoubou, John Angelopoulos
Summary: Robotic systems have become essential in modern manufacturing due to their unique characteristics. However, their low reliability poses challenges and affects productivity and profit. To address this issue, this research proposes a method based on digital twin and predictive maintenance to optimize the reliability of a robotic cell. The study includes simulation, machine learning model training for fault detection, and a framework for predicting remaining useful life. Applying appropriate maintenance tasks based on these results can prevent serious failures and ensure high reliability.
Review
Computer Science, Information Systems
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: This paper aims to identify the capabilities and distinguishing characteristics of both humans and machines, laying the groundwork for improving human-machine interaction (HMI), emphasizing the concept of a Humachine.
Article
Engineering, Industrial
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: With the advances in Industry 4.0 and the upcoming Industry 5.0, the use of multiple UAVs for indoor tasks has increased. The proposed method in this paper presents a way to remotely plan and control drones based on the use of Augmented Reality. This method contributes towards enabling engineers to visualize the drone path and add multiple waypoints without human intervention.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Vasilis Siatras, Emmanouil Bakopoulos, Panagiotis Mavrothalassitis, Nikolaos Nikolakis, Kosmas Alexopoulos
Summary: Industry 4.0 aims to connect different industrial assets within a manufacturing environment. The Asset Administration Shell (AAS) serves as a digital representation for assets, applicable to physical and digital assets like AI agents and databases. Multi-agent systems (MASs) are useful for decentralized optimization in planning and scheduling scenarios. To address these challenges, this work proposes an AAS-based information model for scheduling agents, allowing multiple AI methods to be encapsulated within a single agent.
APPLIED SCIENCES-BASEL
(2023)
Article
Engineering, Electrical & Electronic
Dimitris Mourtzis, John Angelopoulos
Summary: Climate change, energy efficiency, and access to contemporary energy services are important global topics. The establishment of reliable communication infrastructure and increased digitization has led to the creation of smart grids. Reactive power optimization, using algorithms like particle swarm optimization, is crucial for energy production and distribution. However, premature convergence and local optima can be issues with these algorithms. This research presents an improved PSO algorithm for minimizing power loss in smart grids, achieving approximately an 11% improvement compared to conventional algorithms, as demonstrated on the IEEE 30-bus standardized model.
Proceedings Paper
Engineering, Multidisciplinary
Dimitris Mourtzis, Panagiotis Kaimasidis, John Angelopoulos, Nikos Panopoulos
Summary: Traditional manufacturing systems rely on CNC for product and component manufacturing, requiring skilled personnel. Industry 4.0 introduces advanced digital technologies like XR, including AR, MR, and VR, to improve user perception and enable extended HMI. This research presents a framework using AR to facilitate engineers in generating Gcode scripts for machining operations, with MR providing a better perception of processes and virtual instructions for operators, and Cloud-based communication for automated transmission of Gcode to machine tools.
PRODUCT LIFECYCLE MANAGEMENT PLM IN TRANSITION TIMES: THE PLACE OF HUMANS AND TRANSFORMATIVE TECHNOLOGIES, PLM 2022
(2023)
Review
Engineering, Industrial
Jiewu Leng, Yuanwei Zhong, Zisheng Lin, Kailin Xu, Dimitris Mourtzis, Xueliang Zhou, Pai Zheng, Qiang Liu, J. Leon Zhao, Weiming Shen
Summary: Manufacturers are realizing the importance of system resilience and considering the use of Decentralized Autonomous Organization (DAO) to achieve decentralized autonomous manufacturing and resilient Industry 5.0 vision. This paper reviews the literature on Decentralized Manufacturing (DM) and Autonomous Manufacturing (AM), and proposes a manufacturing paradigm called Decentralized Autonomous Manufacturing (DAM). Future research directions and challenges of DAM are highlighted.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Proceedings Paper
Automation & Control Systems
Dimitris Mourtzis, John Angelopoulos, Nikos Panopoulos
Summary: Drones have become valuable tools in various industries, bringing benefits such as fewer accidents, lower costs, and increased efficiency. The use of multiple UAVs for indoor activities, especially real-time remote monitoring, wireless coverage, and remote sensing, has been on the rise. Complex drone operations require specialized software and data processing capabilities. However, there is a lack of research in the field of customized handling interfaces for UAVs, particularly in industrial environments.
