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2. Adoption of AI-Based Systems in Industrial Maintenance: Empirical Evidences from an Action Research in the Maintenance Service Business

Author

Macchi, Marco, Ruberti, Alessandro, Polenghi, Adalberto, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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3. Towards a Maturity Model for Intelligent Digital Twins in Manufacturing

Author

Villegas, Luis Felipe, Macchi, Marco, Polenghi, Adalberto, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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4. Strategic Action Line LI6: Evolving and Resilient Production

Author

Secchi, Cristian, Golinelli, Fabio, Semeraro, Luigi, Benatti, Paolo, Gilioli, Edmondo, Macchi, Marco, Bosi, Gildo, Salmoiraghi, Sandro, Tomesani, Luca, Choi, Seung-Bok, Series Editor, Duan, Haibin, Series Editor, Fu, Yili, Series Editor, Guardiola, Carlos, Series Editor, Sun, Jian-Qiao, Series Editor, Kwon, Young W., Series Editor, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Karimi, Hamid Reza, Series Editor, Fornasiero, Rosanna, editor, and Tolio, Tullio A. M., editor

Published
2024
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9. Towards Viable Modelling for Robust Flow Shop Scheduling in Production Environments Under Uncertainty

Author

Fumagalli, Luca, Negri, Elisa, Cattaneo, Laura, Ragazzini, Lorenzo, Macchi, Marco, Spagnoletti, Paolo, Series Editor, De Marco, Marco, Series Editor, Pouloudi, Nancy, Series Editor, Te'eni, Dov, Series Editor, vom Brocke, Jan, Series Editor, Winter, Robert, Series Editor, Baskerville, Richard, Series Editor, Kumar, Vikas, editor, Kyriakopoulos, Grigorios L., editor, Akberdina, Victoria, editor, and Kuzmin, Evgeny, editor

Published
2023
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14. Fostering Circular Manufacturing Through the Integration of Genetic Algorithm and Process Mining

Author

Acerbi, Federica, Polenghi, Adalberto, Quadrini, Walter, Macchi, Marco, Taisch, Marco, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Kim, Duck Young, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2022
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15. A Framework for Asset Centered Servitization Based on Micro-services

Author

Ruberti, Alessandro, Polenghi, Adalberto, Macchi, Marco, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Kim, Duck Young, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2022
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27. LNG/Fuel cascades and flammable cloud formation

Author

Macchi, Marco, Wen, Jennifer, Volkov, Konstantin, Chung, Yongmann, and Heidari, Ali

Subjects
665.7, Chemical engineering
Abstract

The aim of the current work is to reproduce spills of fuel from storage tanks in order to better understand and replicate the effects of this phenomenon which can cause several damages. The vapour production that occurs when there is a failure in a storage tank could cause an explosion if there is any source of heat such as an electrical power failure. The vast increase in computational resources that we experienced in the last years has given the Computational Fluid Dynamics (CFD) community growing resources to simulate difficult flow problems that were impossible to solve 20 years ago. In order to solve the multiphase flow which represents the spilling of fuel from a storage tank a Lagrangian-Eulerian approach is adopted, as with most of the work done in the literature. The importance of splashing of droplets on at surfaces has also led to the development of an adapted splashing model based on existing correlations. This was done by the use of a volume-of-fluid (VOF) methodology to characterise splashing. Comparison of experimental results with the ones obtained by numerical simulation show good agreement (less than 10% error) and confirm that CFD could be an advantageous tool in the prediction of this type of flow. Moreover, the computational simulations give an overview of what is happening and more specifically physical quantities in each point of the computational domain, while the experimental facilities are restricted to some points and the presence of some tools invade the flow. The main findings of this work are related to the splashing of liquid droplets into solid surfaces and the differences between cascades of hydrocarbons that have a boiling point above normal ambient temperatures and liquids such as Liquefied Natural Gas (LNG) that are boiling when they come in contact with the atmosphere. The splashing of liquid droplets in the current application was found to be significantly different respect to most of the work discussed in the literature. Because of the large size of the droplets simulated, the parameters of interest such as splashing threshold, angle and mass splash ratio were found to be out of the previous ranges predicted by other authors. These parameters were then put back into the splashing model which showed improved results, giving a higher accuracy regarding vapour produced. Liquid cascades of Liquefied Natural Gas were found to be significantly different than gasoline ones, with most of the liquid being vapourised before hitting the ground. This is due mostly to the boiling of the liquid and also on the different layout of the storage tanks, these being much larger in an LNG plant than in a typical fuel plant. The models formulated in the current application can be used for the prediction of the flammable cloud in a spill scenario in a plant, where the vapour can reach high concentration and the risk of an explosion is not remote. The physical models mentioned above were implemented within the framework of the opensource tool OpenFOAM by modifying and/or adding new models in the code.

Published
2018

30. Synchronisation of material flows in mass-customised production systems: a literature-based classification framework and industrial application.

Author

Napoleone, Alessia, Moretti, Emilio, Macchi, Marco, and Melacini, Marco

Subjects
DATA analytics, INDUSTRY 4.0, CYBER physical systems, LEVERS, CONSUMERS
Abstract

The mass customisation strategy is needed by manufacturing companies to face the increasing variety and unpredictability of products required by customers. However, mass customisation may increase the complexity of managing manufacturing and production logistics activities, for example due to reduced product batch sizes. The synchronisation of material flows within the factory is emerging as a way to address this complexity, as it enables an effective and efficient implementation of mass customisation. Indeed, the fourth Industrial Revolution introduces new digital levers, which can be combined with traditional managerial levers to achieve the synchronisation of material flows within the factory. This study contributes to the rising stream of research on this topic. A systematic literature review was conducted, leading to the development of a classification framework of the levers supporting the synchronisation of material flows. The identified managerial levers are: storage of materials, feeding policy, and scheduling. The digital levers are: materials tracking, process tracking, data analytics, and assistance systems. The developed framework was operationalised in four industrial cases and applied as a tool to map their levers related to the synchronisation of material flows. [ABSTRACT FROM AUTHOR]

Published
2024
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31. System-Level Overall Equipment Effectiveness for Improving Asset Management Performance: A Case Study Application

Author

Franzini, Alberto, Polenghi, Adalberto, Roda, Irene, Macchi, Marco, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dolgui, Alexandre, editor, Bernard, Alain, editor, Lemoine, David, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2021
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32. Sustainable Maintenance Performances and EN 15341:2019: An Integration Proposal

Author

Franciosi, Chiara, Roda, Irene, Voisin, Alexandre, Miranda, Salvatore, Macchi, Marco, Iung, Benoit, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Dolgui, Alexandre, editor, Bernard, Alain, editor, Lemoine, David, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2021
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33. Advances in Production Management Systems: Issues, Trends, and Vision Towards 2030

Author

Romero, David, Von Cieminski, Gregor, Wuest, Thorsten, Gaiardelli, Paolo, Moon, Ilkyeong, Pezzotta, Giuditta, Wiesner, Stefan, Macchi, Marco, Baalsrud Hauge, Jannicke, Roda, Irene, Powell, Daryl, Netland, Torbjørn, Kulvatunyou, Boonserm (Serm), Szirbik, Nick, Roser, Christoph, Alfnes, Erlend, Rudberg, Martin, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, and Neuhold, Erich, editor

Published
2021
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39. A Conceptual Model of the IT Ecosystem for Asset Management in the Global Manufacturing Context

Author

Polenghi, Adalberto, Roda, Irene, Macchi, Marco, Pozzetti, Alessandro, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Lalic, Bojan, editor, Majstorovic, Vidosav, editor, Marjanovic, Ugljesa, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2020
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40. Exploring Synergies Between Circular Economy and Asset Management

Author

Acerbi, Federica, Polenghi, Adalberto, Roda, Irene, Macchi, Marco, Taisch, Marco, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Lalic, Bojan, editor, Majstorovic, Vidosav, editor, Marjanovic, Ugljesa, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2020
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47. How the technologies underlying cyber-physical systems support the reconfigurability capability in manufacturing: a literature review.

Author

Napoleone, Alessia, Negri, Elisa, Macchi, Marco, and Pozzetti, Alessandro

Subjects
CYBER physical systems, LITERATURE reviews, LIFE cycles (Biology), MANUFACTURING processes, PRODUCT life cycle
Abstract

Nowadays, manufacturing firms need the reconfigurability capability to be responsive in the current context characterised by unpredictable and frequent market changes and the reduction of product life cycle. Despite the relevance of the subject, a challenge for practitioners is the development of a strategy aimed to increase the level of reconfigurability with long-term goals of customisation and responsiveness. Moreover, traditional manufacturing paradigms are disrupted by the transformation of manufacturing systems in cyber-physical systems (CPS), thus introducing innovative means also to increase the level of reconfigurability in manufacturing systems. This study investigates how the technologies underlying CPS support the reconfigurability capability along system life cycle. Thus the technologies underlying CPS are classified into seven categories and it is shown how they enable the sequence of utilisation of the reconfigurability characteristics (modularity, integrability, diagnosability, scalability, convertibility and customisation) along the system life cycle. The results of the study can guide practitioners in developing reconfigurability as a strategic capability. Moreover, different directions for future research can be considered, as discussed in the conclusion. [ABSTRACT FROM AUTHOR]

Published
2023
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49. Economic Impact Assessment of Structural Health Monitoring Systems on Helicopter Blade Beginning of Life.

Author

Ballarin, Pietro, Macchi, Marco, Roda, Irene, Sala, Giuseppe, Baldi, Andrea, Airoldi, Alessandro, and Sohn, Hoon

Subjects
*STRUCTURAL health monitoring, *STRAIN gages, *HEALTH impact assessment, *FLIGHT testing, *OPTICAL sensors
Abstract

The economic impact of Structural Health Monitoring Systems based on optical fibre sensors is assessed in the development of composite helicopter rotor blades. Hence, the focus of this analysis is on the helicopter's Beginning Of Life stage. Two applications of the Structural Health Monitoring System are considered in the development of composite blades: curing cycle development and accomplishment of laboratory and flight certification tests. Optical fibre sensors measure the temperature field during the curing cycle and strain field during the laboratory tests and allow load identification during the load survey activity. It was found that Structural Health Monitoring Systems can potentially lead to economic benefits during the development of the blade provide that a reduction in the number of curing cycles and number of blades tested is achieved as a consequence of the improvement of the temperature and strain field quality. Moreover, an economic benefit could be achieved during the load survey activity, needed to complete the certification of the composite blade, avoiding the periodical maintenance of the applied strain gauges acquiring the strains during the flight. [ABSTRACT FROM AUTHOR]

Published
2024
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50. Application of Artificial Neural Networks to a Model of a Helicopter Rotor Blade for Damage Identification in Realistic Load Conditions.

Author

Ballarin, Pietro, Sala, Giuseppe, Macchi, Marco, Roda, Irene, Baldi, Andrea, and Airoldi, Alessandro

Subjects
ARTIFICIAL neural networks, STRUCTURAL health monitoring, FIBER Bragg gratings, ROTORS (Helicopters), COMPOSITE structures
Abstract

Monitoring the integrity of aeronautical structures is fundamental for safety. Structural Health Monitoring Systems (SHMSs) perform real-time monitoring functions, but their performance must be carefully assessed. This is typically done by introducing artificial damages to the components; however, such a procedure requires the production and testing of a large number of structural elements. In this work, the damage detection performance of a strain-based SHMS was evaluated on a composite helicopter rotor blade root, exploiting a Finite Element (FE) model of the component. The SHMS monitored the bonding between the central core and the surrounding antitorsional layer. A damage detection algorithm was trained through FE analyses. The effects of the load's variability and of the damage were decoupled by including a load recognition step in the algorithm, which was accomplished either with an Artificial Neural Network (ANN) or a calibration matrix. Anomaly detection, damage assessment, and localization were performed by using an ANN. The results showed a higher load identification and anomaly detection accuracy using an ANN for the load recognition, and the load set was recognized with a satisfactory accuracy, even in damaged blades. This case study was focused on a real-world subcomponent with complex geometrical features and realistic load conditions, which was not investigated in the literature and provided a promising approach to estimate the performance of a strain-based SHMS. [ABSTRACT FROM AUTHOR]

Published
2024
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