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Nowadays, one important challenge in cyber-physical production systems is updating dynamic production schedules through an automated decision-making performed while the production is running. The condition of the manufacturing equipment may in fact lead to schedule unfeasibility or inefficiency, thus requiring responsiveness to preserve productivity and reduce the operational costs. In order to address current limitations of traditional scheduling methods, this work proposes a new framework that exploits the aggregation of several digital twins, representing different physical assets and their autonomous decision-making, together with a global digital twin, in order to perform production scheduling optimization when it is needed. The decision-making process is supported on a fuzzy inference system using the state or conditions of different assets and the production rate of the whole system. The condition of the assets is predicted by the condition-based monitoring modules in the local digital twins of the workstations, whereas the production rate is evaluated and assured by the global digital twin of the shop floor. This paper presents a framework for decentralized and integrated decision-making for re-scheduling of a cyber-physical production system, and the validation and proof-of-concept of the proposed method in an Industry 4.0 pilot line of assembly process. The experimental results demonstrate that the proposed framework is capable to detect changes in the manufacturing process and to make appropriate decisions for re-scheduling the process.
Alberto Villalonga; Elisa Negri; Giacomo Biscardo; Fernando Castano; Rodolfo E. Haber; Luca Fumagalli; Marco Macchi. A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins. Annual Reviews in Control 2021, 51, 357 -373.
AMA StyleAlberto Villalonga, Elisa Negri, Giacomo Biscardo, Fernando Castano, Rodolfo E. Haber, Luca Fumagalli, Marco Macchi. A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins. Annual Reviews in Control. 2021; 51 ():357-373.
Chicago/Turabian StyleAlberto Villalonga; Elisa Negri; Giacomo Biscardo; Fernando Castano; Rodolfo E. Haber; Luca Fumagalli; Marco Macchi. 2021. "A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins." Annual Reviews in Control 51, no. : 357-373.
Digital Twin (DT) is considered a key approach to enhance the system reactivity to uncertain events due to its ability to getting data from the field and triggering actions on the physical asset. Given the modern technological and rapidly changing work environment, it is likely that in the next years companies will need to retrofit their manufacturing systems by integrating DTs. In this context, it is fundamental to define the necessary steps for the development of DTs and for their integration into manufacturing systems through a DT architecture. In response to this issue, a methodology based on Virtual Commissioning is proposed. A stepwise approach is illustrated in which the DT is designed, integrated and verified using a virtual environment. The methodology is validated through the integration of a DT into a flow shop for the implementation of a scheduling reactive to machine breakdown. By following the steps of the proposed methodology, a DT architecture able to improve the makespan of the studied flow shop is developed, suggesting the potential applicability of the approach to industrial manufacturing systems.
Giacomo Barbieri; Alberto Bertuzzi; Andrea Capriotti; Lorenzo Ragazzini; David Gutierrez; Elisa Negri; Luca Fumagalli. A virtual commissioning based methodology to integrate digital twins into manufacturing systems. Production Engineering 2021, 15, 397 -412.
AMA StyleGiacomo Barbieri, Alberto Bertuzzi, Andrea Capriotti, Lorenzo Ragazzini, David Gutierrez, Elisa Negri, Luca Fumagalli. A virtual commissioning based methodology to integrate digital twins into manufacturing systems. Production Engineering. 2021; 15 (3-4):397-412.
Chicago/Turabian StyleGiacomo Barbieri; Alberto Bertuzzi; Andrea Capriotti; Lorenzo Ragazzini; David Gutierrez; Elisa Negri; Luca Fumagalli. 2021. "A virtual commissioning based methodology to integrate digital twins into manufacturing systems." Production Engineering 15, no. 3-4: 397-412.
The use of Condition-based Predictive Maintenance (CBPdM) has grown significantly due to the Industry 4.0 movement and to the advancements in data acquisition, gathering, storing and analytics. In modern maintenance engineering education, there is the need to include CBPdM alongside with traditional maintenance approaches. Within this paper, a case study is proposed for education in Fault Diagnosis Assessment (FDA) using the Problem-based Learning (PBL) approach. Following a PBL approach, the proposed case study consists of a ‘close-to-real-life’ problem and allows the implementation of most of the steps of FDA, and the assessment of the answer through objective metrics. We hope that this work may impulse the production of more educational case studies within the topic of CBPdM.
Giacomo Barbieri; David Sanchez-Londoño; Laura Cattaneo; Luca Fumagalli; David Romero. A Case Study for Problem-based Learning Education in Fault Diagnosis Assessment. IFAC-PapersOnLine 2020, 53, 107 -112.
AMA StyleGiacomo Barbieri, David Sanchez-Londoño, Laura Cattaneo, Luca Fumagalli, David Romero. A Case Study for Problem-based Learning Education in Fault Diagnosis Assessment. IFAC-PapersOnLine. 2020; 53 (3):107-112.
Chicago/Turabian StyleGiacomo Barbieri; David Sanchez-Londoño; Laura Cattaneo; Luca Fumagalli; David Romero. 2020. "A Case Study for Problem-based Learning Education in Fault Diagnosis Assessment." IFAC-PapersOnLine 53, no. 3: 107-112.
This work aims to reflect on the focal concepts in the background of an advanced maintenance system built on the characteristics induced in the digital era. The focal concepts are firstly analysed by giving prominence both to past and recent evolutions, making a literature review in regard to intelligent maintenance, e-maintenance, smart maintenance and maintenance 4.0 as main keywords. Based on the literature findings, a set of attributes and consequences as core elements of the focal concepts is codified; these are further adopted in a multiple case study analysis aimed to explore the perceptions from industry.
M. Macchi; I. Roda; L. Fumagalli. On the focal concepts of Maintenance in the Digital era. IFAC-PapersOnLine 2020, 53, 84 -89.
AMA StyleM. Macchi, I. Roda, L. Fumagalli. On the focal concepts of Maintenance in the Digital era. IFAC-PapersOnLine. 2020; 53 (3):84-89.
Chicago/Turabian StyleM. Macchi; I. Roda; L. Fumagalli. 2020. "On the focal concepts of Maintenance in the Digital era." IFAC-PapersOnLine 53, no. 3: 84-89.
Industry 4.0-based manufacturing systems are equipped with Cyber-Physical Systems that are characterized by a strong interlinkage between the real world and the digital one: actions in one world have an impact on the other. In this paradigm, Digital Twins (DT) are defined as simulation models that are both getting data from the field and triggering actions on the physical equipment. However, most of the claimed DT in literature are only replicating the real system in a synchronized fashion, without feeding back actions on the control system of the equipment. In literature, these are referred to as Digital Shadows (DS). The paper proposes a way to integrate a DS simulation model with the Manufacturing Execution System (MES) in this way creating a DT. The MES-integrated DT is used for decision making thanks to the presence of an intelligence layer that hosts the rules and the knowledge to choose among alternatives. The paper proposes two frameworks based on the MES-integrated DT: one for managing error states and one for triggering disassembly processes as a consequence of low assembly quality. The DT simulation is developed and integrated with the MES of the Industry 4.0 Laboratory at the School of Management of Politecnico di Milano, where the proposed frameworks have been tested and validated.
Elisa Negri; Stefano Berardi; Luca Fumagalli; Marco Macchi. MES-integrated digital twin frameworks. Journal of Manufacturing Systems 2020, 56, 58 -71.
AMA StyleElisa Negri, Stefano Berardi, Luca Fumagalli, Marco Macchi. MES-integrated digital twin frameworks. Journal of Manufacturing Systems. 2020; 56 ():58-71.
Chicago/Turabian StyleElisa Negri; Stefano Berardi; Luca Fumagalli; Marco Macchi. 2020. "MES-integrated digital twin frameworks." Journal of Manufacturing Systems 56, no. : 58-71.
The increasing awareness of customers toward climate change effects, the high demand instability affecting several industrial sectors, and the fast automation and digitalization of production systems are forcing companies to re-think their business strategies and models in view of both the Circular Economy (CE) and Industry 4.0 (I4.0) paradigms. Some studies have already assessed the relations between CE and I4.0, their benefits, and barriers. However, a practical demonstration of their potential impact in real contexts is still lacking. The aim of this paper is to present a laboratory application case showing how I4.0-based technologies can support CE practices by virtually testing a waste from electrical and electronic equipment (WEEE) disassembly plant configuration through a set of dedicated simulation tools. Our results highlight that service-oriented, event-driven processing and information models can support the integration of smart and digital solutions in current CE practices at the factory level.
Roberto Rocca; Paolo Rosa; Claudio Sassanelli; Luca Fumagalli; Sergio Terzi. Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case. Sustainability 2020, 12, 2286 .
AMA StyleRoberto Rocca, Paolo Rosa, Claudio Sassanelli, Luca Fumagalli, Sergio Terzi. Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case. Sustainability. 2020; 12 (6):2286.
Chicago/Turabian StyleRoberto Rocca; Paolo Rosa; Claudio Sassanelli; Luca Fumagalli; Sergio Terzi. 2020. "Integrating Virtual Reality and Digital Twin in Circular Economy Practices: A Laboratory Application Case." Sustainability 12, no. 6: 2286.
Production is moving from mass-production to ‘mass-customization’ and ‘personalization’ (lot-size-one). Accordingly, modern manufacturing systems must become more agile and responsive to changing global markets and closer to customers. Industry 4.0 technologies have the premises to face these changes in the production paradigm. However, technologies must be supported by methodological approaches focused on the process to be optimized, digitalized, and made more flexible. In this paper, we propose a seamless Human-Computer-Machine Interaction (HCMI) architecture for supporting the supervision activity of the operator in the context of flexible manufacturing systems. The suggested interaction is implemented and validated using a lab case study where we demonstrate how the proposed HCMI architecture, in line with the Industry 4.0 architectural design principles, enables ‘close-to-realtime’ supervision of the manufacturing system in its self-adaptation to production changes.
Jose Daniel Hernandez; Edgar Schneider Cespedes; David Andres Gutierrez; David Sanchez-Londoño; Giacomo Barbieri; Sepideh Abolghasem; David Romero; Luca Fumagalli. Human-Computer-Machine Interaction for the Supervision of Flexible Manufacturing Systems: A Case Study. IFAC-PapersOnLine 2020, 53, 10550 -10555.
AMA StyleJose Daniel Hernandez, Edgar Schneider Cespedes, David Andres Gutierrez, David Sanchez-Londoño, Giacomo Barbieri, Sepideh Abolghasem, David Romero, Luca Fumagalli. Human-Computer-Machine Interaction for the Supervision of Flexible Manufacturing Systems: A Case Study. IFAC-PapersOnLine. 2020; 53 (2):10550-10555.
Chicago/Turabian StyleJose Daniel Hernandez; Edgar Schneider Cespedes; David Andres Gutierrez; David Sanchez-Londoño; Giacomo Barbieri; Sepideh Abolghasem; David Romero; Luca Fumagalli. 2020. "Human-Computer-Machine Interaction for the Supervision of Flexible Manufacturing Systems: A Case Study." IFAC-PapersOnLine 53, no. 2: 10550-10555.
In the Industry 4.0 era, the Digital Twin (DT), virtual copies of the system that are able to interact with the physical counterparts in a bi-directional way, seem to be promising enablers to replicate production systems in real time and analyse them. A DT should be capable to guarantee well-defined services to support various activities such as monitoring, maintenance, management, optimization and safety. Through an analysis of the current picture of manufacturing and a literature review about the already existing DT environment, this paper identifies what is still missing in the implemented DT to be compliant to their description in literature. Particular focuses of this paper are the degree of integration of the proposed DT with the control of the physical system, in particular with the Manufacturing Execution Systems (MES) when the production system is based on the Automation Pyramid, and the services offered from these environments, comparing them to the reference ones. This paper proposes also a practical implementation of a DT in a MES equipped assembly laboratory line of the School of Management of the Politecnico di Milano. The application has been created to pose the basis to overcome the missing implementation aspects found in literature. In such a way, the developed DT paves the way for future research to close the loop between the MES and the DT taking into consideration the number of services that a DT could offer in a single environment.
Chiara Cimino; Elisa Negri; Luca Fumagalli. Review of digital twin applications in manufacturing. Computers in Industry 2019, 113, 103130 .
AMA StyleChiara Cimino, Elisa Negri, Luca Fumagalli. Review of digital twin applications in manufacturing. Computers in Industry. 2019; 113 ():103130.
Chicago/Turabian StyleChiara Cimino; Elisa Negri; Luca Fumagalli. 2019. "Review of digital twin applications in manufacturing." Computers in Industry 113, no. : 103130.
Nowadays, maintenance activities and safety management can be supported by a mature state of the art favouring the implementation of condition-based maintenance programme, which recommends maintenance decisions based on the information collected through asset life. The main idea, which grounds in the Industry 4.0 paradigm, is to utilize the asset degradation information, extracted and identified through different techniques, to reduce and eliminate costly, unscheduled downtimes and unexpected breakdowns and to avoid risky scenarios. This paper aims at developing and testing a data-driven CBM tool to provide fault diagnostics transforming raw data from the shop-floor into information, finally enabling risk-informed decision-making. The tool relies on a process of knowledge discovery that incorporates both prior knowledge and proper interpretation of data analytics results. Prior knowledge is extracted through a process hazard analysis (PHA), while data analysis deals with statistical process control and novelty detection. The model is proposed to integrate some Cyber-Physical System element in the extant plant automation, to exploit its computational capabilities through the continuous monitoring and data analytics. This enables a “watchdog agent” of risky scenario, allowing an on-line risk-assessment of safety-critical components, finally enhancing the intelligence in the industrial process.
Luca Fumagalli; Laura Cattaneo; Irene Roda; Marco Macchi; Maurizio Rondi. Data-driven CBM tool for risk-informed decision-making in an electric arc furnace. The International Journal of Advanced Manufacturing Technology 2019, 105, 595 -608.
AMA StyleLuca Fumagalli, Laura Cattaneo, Irene Roda, Marco Macchi, Maurizio Rondi. Data-driven CBM tool for risk-informed decision-making in an electric arc furnace. The International Journal of Advanced Manufacturing Technology. 2019; 105 (1-4):595-608.
Chicago/Turabian StyleLuca Fumagalli; Laura Cattaneo; Irene Roda; Marco Macchi; Maurizio Rondi. 2019. "Data-driven CBM tool for risk-informed decision-making in an electric arc furnace." The International Journal of Advanced Manufacturing Technology 105, no. 1-4: 595-608.
This chapter presents the deployment of a condition monitoring system on an electric arc furnace in a steel making company, ranging from the development of the system until its implementation and the results achieved by its use in the plant. A step-wise risk-based methodology is introduced and it is adopted to deploy the condition monitoring system. The electric arc furnace is a relevant asset for safety issues; due to the characteristics of the furnace—running continuously at high temperatures and in harsh environmental conditions—many components cannot be visually inspected, thus a maintenance system, with real-time monitoring capabilities, represents a proper solution to keep under control the asset health state. Besides the monitoring activity, appropriate risk information must also be shown to maintenance personnel to effectively improve maintenance activity. In this concern, the condition monitoring system, herein presented, can be considered an E-maintenance tool, integrated within an existing industrial ICT infrastructure, and representing one practical application of E-maintenance concept within industry.
Cristian Colace; Luca Fumagalli; Simone Pala; Marco Macchi; Nelson R. Matarazzo; Maurizio Rondi. Implementation of a Condition Monitoring System on an Electric Arc Furnace Through a Risk-Based Methodology. Value Based and Intelligent Asset Management 2019, 233 -257.
AMA StyleCristian Colace, Luca Fumagalli, Simone Pala, Marco Macchi, Nelson R. Matarazzo, Maurizio Rondi. Implementation of a Condition Monitoring System on an Electric Arc Furnace Through a Risk-Based Methodology. Value Based and Intelligent Asset Management. 2019; ():233-257.
Chicago/Turabian StyleCristian Colace; Luca Fumagalli; Simone Pala; Marco Macchi; Nelson R. Matarazzo; Maurizio Rondi. 2019. "Implementation of a Condition Monitoring System on an Electric Arc Furnace Through a Risk-Based Methodology." Value Based and Intelligent Asset Management , no. : 233-257.
The advent of Industry 4.0 has brought to extremely powerful data collection possibilities. Despite this, the potential contained in databases is often partially exploited, especially focusing on the manufacturing field. There are several root causes of this paradox, but the crucial one is the absence of a well-established and standardized Industrial Big Data Analytics procedure, in particular for the application within the assembly systems. This work aims to develop a customized Knowledge Discovery in Databases (KDD) procedure for its application within the assembly department of Bosch VHIT S.p.A., active in the automotive industry. The work is focused on the data mining phase of the KDD process, where ARIMA method is used. Various applications to different lines of the assembly systems show the effectiveness of the customized KDD for the exploitation of production databases for the company, and for the spread of such a methodology to other companies too.
Edoardo Storti; Laura Cattaneo; Adalberto Polenghi; Luca Fumagalli. Customized Knowledge Discovery in Databases methodology for the Control of Assembly Systems. Machines 2018, 6, 45 .
AMA StyleEdoardo Storti, Laura Cattaneo, Adalberto Polenghi, Luca Fumagalli. Customized Knowledge Discovery in Databases methodology for the Control of Assembly Systems. Machines. 2018; 6 (4):45.
Chicago/Turabian StyleEdoardo Storti; Laura Cattaneo; Adalberto Polenghi; Luca Fumagalli. 2018. "Customized Knowledge Discovery in Databases methodology for the Control of Assembly Systems." Machines 6, no. 4: 45.
This paper provides a discussion about modularization of production systems equipment (i.e. logistic or manufacturing equipment) with embedded controllers that are at the basis of the paradigm of CPS (Cyber Physical Systems). The paper strongly grounds both on a solid scientific background and on an industrial case study implementation, thus, providing empirical evidences that the authors of this paper tested within an industrial pilot.
Luca Fumagalli; Elisa Negri; Ondřej Severa; Pavel Balda; Ermanno Rondi. Distributed control via modularized CPS architecture Lessons learnt from an industrial case study. IFAC-PapersOnLine 2018, 51, 803 -808.
AMA StyleLuca Fumagalli, Elisa Negri, Ondřej Severa, Pavel Balda, Ermanno Rondi. Distributed control via modularized CPS architecture Lessons learnt from an industrial case study. IFAC-PapersOnLine. 2018; 51 (11):803-808.
Chicago/Turabian StyleLuca Fumagalli; Elisa Negri; Ondřej Severa; Pavel Balda; Ermanno Rondi. 2018. "Distributed control via modularized CPS architecture Lessons learnt from an industrial case study." IFAC-PapersOnLine 51, no. 11: 803-808.
The recent advances in digital technologies are revolutionizing the industrial landscape. Maintenance is one of the functions that may benefit from the opportunities that emerge with the digital transformation of industrial processes. Nevertheless, until now very few research papers investigated on what digitalized manufacturing entails for maintenance organizations along both technical and social dimensions. The aim of this paper is to investigate the vision of the future of Maintenance within the industry 4.0 and to show empirical evidence on how manufacturing companies are approaching the digital transformation process of maintenance. An empirical investigation was developed through multiple case-study involving nine manufacturing companies in Italy. Findings emerge about the main perceived challenges by companies for the success of digital transformation of maintenance as well as the technological and organizational mechanisms that are used in ongoing innovative Maintenance projects.
Irene Roda; Marco Macchi; Luca Fumagalli. The Future of Maintenance Within Industry 4.0: An Empirical Research in Manufacturing. Security Education and Critical Infrastructures 2018, 39 -46.
AMA StyleIrene Roda, Marco Macchi, Luca Fumagalli. The Future of Maintenance Within Industry 4.0: An Empirical Research in Manufacturing. Security Education and Critical Infrastructures. 2018; ():39-46.
Chicago/Turabian StyleIrene Roda; Marco Macchi; Luca Fumagalli. 2018. "The Future of Maintenance Within Industry 4.0: An Empirical Research in Manufacturing." Security Education and Critical Infrastructures , no. : 39-46.
Most of the research works on methods and techniques for solving the job-shop scheduling problem (JSSP) propose theoretically powerful optimisation algorithms that indeed are practically difficult to apply in real industrial scenarios due to the complexity of these production systems. This paper aims at filling the gap between research and industrial worlds by creating a framework of general applicability for solving the JSSP. Through a literature analysis, the constituent elements of the framework have been identified: an optimisation method that can solve NP-hard JSSP problem in a reasonable time, i.e., the genetic algorithm (GA), and a tool that allows precisely modelling the production system and evaluating the goodness of the schedules, i.e., a simulation model. A case study of a company that bases its business in the manufacturing of aerospace components proved the applicability of the proposed framework.
Luca Fumagalli; Elisa Negri; Edoardo Sottoriva; Adalberto Polenghi; Marco Macchi. A novel scheduling framework: integrating genetic algorithms and discrete event simulation. International Journal of Management and Decision Making 2018, 17, 371 .
AMA StyleLuca Fumagalli, Elisa Negri, Edoardo Sottoriva, Adalberto Polenghi, Marco Macchi. A novel scheduling framework: integrating genetic algorithms and discrete event simulation. International Journal of Management and Decision Making. 2018; 17 (4):371.
Chicago/Turabian StyleLuca Fumagalli; Elisa Negri; Edoardo Sottoriva; Adalberto Polenghi; Marco Macchi. 2018. "A novel scheduling framework: integrating genetic algorithms and discrete event simulation." International Journal of Management and Decision Making 17, no. 4: 371.
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Marco Macchi; Adalberto Polenghi; Edoardo Sottoriva; Luca Fumagalli; Elisa Negri. A novel scheduling framework: integrating genetic algorithms and discrete event simulation. International Journal of Management and Decision Making 2018, 17, 1 .
AMA StyleMarco Macchi, Adalberto Polenghi, Edoardo Sottoriva, Luca Fumagalli, Elisa Negri. A novel scheduling framework: integrating genetic algorithms and discrete event simulation. International Journal of Management and Decision Making. 2018; 17 (1):1.
Chicago/Turabian StyleMarco Macchi; Adalberto Polenghi; Edoardo Sottoriva; Luca Fumagalli; Elisa Negri. 2018. "A novel scheduling framework: integrating genetic algorithms and discrete event simulation." International Journal of Management and Decision Making 17, no. 1: 1.
Information technologies grow rapidly nowadays with the advance and extension of computing capabilities. This growth affects several fields, which consume these technologies. Industrial Automation is not an exception. This publication describes a general and flexible architecture for implementing Manufacturing Execution System (MES) function, which can be deployed in multiple industrial cases. These features are achieved by combining the flexibility of knowledge-driven systems with the vendor-independent property of RESTful web services. With deployment of this solution, MES functions may gain more versatility and independency. This research work is a continuation of the development of the OKD-MES (Open Knowledge-Driven Manufacturing Execution System) framework during the execution of the eScop project. The OKD-MES framework consists on a semantic-based solution for controlling and enhancing the flexibility and re-configurability of MES. In such scope, this research presents MES functions architecture that might be implemented in the OKD-MES framework in order to increase the flexibility of event-driven manufacturing systems.
Wael M. Mohammed; Borja Ramis Ferrer; Sergii Iarovyi; Elisa Negri; Luca Fumagalli; Andrei Lobov; Jose L. Martinez Lastra. Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems. International Journal of Computer Integrated Manufacturing 2017, 31, 262 -274.
AMA StyleWael M. Mohammed, Borja Ramis Ferrer, Sergii Iarovyi, Elisa Negri, Luca Fumagalli, Andrei Lobov, Jose L. Martinez Lastra. Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems. International Journal of Computer Integrated Manufacturing. 2017; 31 (3):262-274.
Chicago/Turabian StyleWael M. Mohammed; Borja Ramis Ferrer; Sergii Iarovyi; Elisa Negri; Luca Fumagalli; Andrei Lobov; Jose L. Martinez Lastra. 2017. "Generic platform for manufacturing execution system functions in knowledge-driven manufacturing systems." International Journal of Computer Integrated Manufacturing 31, no. 3: 262-274.
The purpose of this work is to envision the future of maintenance without forgetting the past and present of maintenance practices. Indeed, there is a big potential for maintenance, fostered by the promises of the Fourth Industrial Revolution. At the same time, there is still a widespread evidence of the state of practices leading to assert that maintenance is not yet advanced as it would be expected. Thus, comparing the vision supported by advanced maintenance systems, through the concepts of E-maintenance, Internet of Things and Cyber Physical Systems, with the evidences on the state of practices collected based on a sample of more than 300 industrial plants, we come up with a reflection on the advancement of maintenance management towards Smart Maintenance.
Marco Macchi; Irene Roda; Luca Fumagalli. On the Advancement of Maintenance Management Towards Smart Maintenance in Manufacturing. Lecture Notes in Control and Information Sciences 2017, 383 -390.
AMA StyleMarco Macchi, Irene Roda, Luca Fumagalli. On the Advancement of Maintenance Management Towards Smart Maintenance in Manufacturing. Lecture Notes in Control and Information Sciences. 2017; ():383-390.
Chicago/Turabian StyleMarco Macchi; Irene Roda; Luca Fumagalli. 2017. "On the Advancement of Maintenance Management Towards Smart Maintenance in Manufacturing." Lecture Notes in Control and Information Sciences , no. : 383-390.
The paper has the objective of investigating the effect of the arrangement of the maintenance interventions along the planning horizon on the reliability of a mechanical system. In fact, the specific arrangement of the maintenance interventions during a specified time horizon influences the system reliability, and this is an aspect that has not received much attention in the literature. The aim of this paper is to propose an orchestration model that finds the best arrangement of maintenance interventions based on a deep analysis of the system reliability using the cross-correlation mathematical operator. The research demonstrates that, by means of a proper arrangement of the preventive maintenance interventions, higher minimum system reliability can be achieved.
Luca Fumagalli; Marco Macchi; Irene Roda; Alice Giacomin. Cross-Correlation Method for Orchestration of Preventive Maintenance Interventions. Security Education and Critical Infrastructures 2017, 513, 84 -91.
AMA StyleLuca Fumagalli, Marco Macchi, Irene Roda, Alice Giacomin. Cross-Correlation Method for Orchestration of Preventive Maintenance Interventions. Security Education and Critical Infrastructures. 2017; 513 ():84-91.
Chicago/Turabian StyleLuca Fumagalli; Marco Macchi; Irene Roda; Alice Giacomin. 2017. "Cross-Correlation Method for Orchestration of Preventive Maintenance Interventions." Security Education and Critical Infrastructures 513, no. : 84-91.
The paper reviews the performance measurement in the domain of interest. Important data in asset management are further, discussed. The importance and the characteristics of today’s ICTs capabilities are also mentioned in the paper. The role of new concepts such as big data and data mining analytical technologies in managing the performance measurements in asset management are discussed in detail. The authors consequently suggest the use of the modified Balanced Scorecard methodology highlighting both quantitative and qualitative aspects, which is crucial for optimal use of the big data approach and technologies.
Jaime Campos; Pankaj Sharma; Erkki Jantunen; David Baglee; Luca Fumagalli. Business Performance Measurements in Asset Management with the Support of Big Data Technologies. Management Systems in Production Engineering 2017, 25, 143 -149.
AMA StyleJaime Campos, Pankaj Sharma, Erkki Jantunen, David Baglee, Luca Fumagalli. Business Performance Measurements in Asset Management with the Support of Big Data Technologies. Management Systems in Production Engineering. 2017; 25 (3):143-149.
Chicago/Turabian StyleJaime Campos; Pankaj Sharma; Erkki Jantunen; David Baglee; Luca Fumagalli. 2017. "Business Performance Measurements in Asset Management with the Support of Big Data Technologies." Management Systems in Production Engineering 25, no. 3: 143-149.
The present paper proposes a methodology to assess the values created through the development of an E-maintenance platform. This is based on the postulation that the platform is providing a set of services developed as an application of a set of E-technologies to support targeted maintenance processes within a given company. Henceforth, the applied service is the building block used in order to assess the value creation for the company. The methodology is firstly presented, discussing on the applied services as initiators of new operational practices in maintenance processes and, subsequently, on the values created for the business of the company deciding to invest in an E-maintenance platform. The methodology is then tested in the case of a manufacturing company: the test proves the potentials of the methodology in order to support the investment appraisal of E-maintenance solutions; the specific case concerns solutions developed in the framework of a SCADA system originally implemented for production purposes.
Marco Macchi; Luis Barberá Martínez; Luca Fumagalli; María Holgado Granados; Adolfo Crespo Márquez. Value Assessment of e-Maintenance Platforms. Advanced Maintenance Modelling for Asset Management 2017, 371 -385.
AMA StyleMarco Macchi, Luis Barberá Martínez, Luca Fumagalli, María Holgado Granados, Adolfo Crespo Márquez. Value Assessment of e-Maintenance Platforms. Advanced Maintenance Modelling for Asset Management. 2017; ():371-385.
Chicago/Turabian StyleMarco Macchi; Luis Barberá Martínez; Luca Fumagalli; María Holgado Granados; Adolfo Crespo Márquez. 2017. "Value Assessment of e-Maintenance Platforms." Advanced Maintenance Modelling for Asset Management , no. : 371-385.