Giulia Bruno - Academia.edu (original) (raw)
Papers by Giulia Bruno
The International Journal of Advanced Manufacturing Technology
Industrial companies are moving toward the electrification of equipment and processes, in line wi... more Industrial companies are moving toward the electrification of equipment and processes, in line with the broader energy transition taking place across the economy. Particularly, the energy efficiency and, consequently, the reduction of environmental pollution of intralogistics activities have become a competitive element and are now an actual research and development objective. A wireless power transfer is a contactless electrical energy transmission technology based on the magnetic coupling between coils installable under the ground level and a coil mounted under the vehicle floor, and it represents an excellent solution to decrease the demand for batteries by reducing vehicle downtimes during the recharge. This work aims to define a methodology to determine the optimal positioning of wireless charging units across the warehouse, both for static and dynamic recharging. To this aim, firstly, a mathematical model of the warehouse is proposed to describe transfers and storage/retrieval...
International Journal of Product Lifecycle Management
Product Lifecycle Management to Support Industry 4.0, 2018
Industry is currently undergoing a digital transformation for strengthening its competitiveness t... more Industry is currently undergoing a digital transformation for strengthening its competitiveness through the convergence between industrial automation and data exchange technologies. This trend exploits a multiplicity of technologies from Cyber Physical Systems and intelligent robotics to PLM and big data management, in order to transform the manufacturing systems in a network of smart and autonomous agents. Even if most of the technologies are already available nowadays, the key obstacle lies in the lack of experience in operating with such technologies. To develop the required skills, different strategies for learning should be adopted. The paper describes the first outcomes of TIPHYS (http://www.tiphys.eu/), an EU funded project for the development of 'social network based doctoral education on Industry 4.0'. The project organizes the learning material as small didactic elements that are accessed through an ontology-based platform. PLM concepts are applied to allow learners to customize their learning path, to provide them with a dynamic repository, whose content evolves and is enriched by the collaborative contribution of students themselves. The ontology structure is described with the help of selected examples.
Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, 2020
Customers are demanding more and more a product of high quality and fast delivery at a low price,... more Customers are demanding more and more a product of high quality and fast delivery at a low price, while simultaneously expecting that the product meets their individual needs and requirements. For companies characterized by a highly customized production, it is essential to optimize the use of machines and reduce the production cycle. The aim of this paper is to develop and evaluate how a MES is able to collect data from the machines and use such data to perform a real time planning of production activities. The system has been implemented in an Italian company that produces metal sheet components for prototypes and small series in the automotive sector, which is characterized by a production with high complexity and high mix of products. The obtained results show that the system provides several benefits in term of reduction of times.
Product Lifecycle Management Enabling Smart X, 2020
Sustainability, 2022
The importance of sustainable building maintenance is growing as part of the Sustainable Building... more The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning...
Applied Sciences, 2021
The introduction of the Internet of Things (IoT) in the construction industry is evolving facilit... more The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digit...
IFIP Advances in Information and Communication Technology, 2019
Despite the amount of research addressing the formalization of product-related knowledge, the pra... more Despite the amount of research addressing the formalization of product-related knowledge, the practical use of tools for knowledge management is still very low at the corporate level. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). Unfortunately, these two applications are scarcely integrated thus preventing an efficient and pervasive collection of data and the consequent creation of useful information. This is more critical in One-of-akind Production (OKP), where each product is unique, the process is not completely defined at the design stage, but it is continuously improved at the shop floor level by skilled operator. In such situation most of the company's knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge in order to face new problems. Because OKP must develop unique product and complex processes in short time, it is mandatory to reuse the acquired information in the most efficient way. It is therefore necessary to collect all the data from the shop floor and transform them in information that will be used in the development of the next product and process. The aim of this paper is to design a framework able to integrate data, from both design and manufacturing phases. To this aim, a framework has been designed to structure and relate information from the PLM and the MES systems. A case study has been developed for a car prototyping company to prove the efficiency of the proposed solution.
An important issue present in the most of manufacturing systems, and become worse in SMEs, is the... more An important issue present in the most of manufacturing systems, and become worse in SMEs, is the systematic management of the huge amount of unstructured information generated about products, from their design to their disposal. The aim of this chapter is to define a framework to manage such kind of data, overcoming the actual issues of the meaningless and the unstructured nature of generated information. To this aim, a knowledge management platform is proposed, both to store product information with semantic enrichment and to retrieve product information by means of a new similarity index. Such platform is based on the one hand on a non-relational data management system and on the other hand on a set of manufacturing ontologies. An example of the potentiality of the proposed framework is shown in the domain of telecommunication filter manufacturing
The need to compete in a globalized market, but also the aspiration to provide sufficient stabili... more The need to compete in a globalized market, but also the aspiration to provide sufficient stability for their own small business, drives Small and Medium Enterprises (SMEs) to aggregate in industrial networks, sharing objectives and strategies with other SMEs, while preserving their own individual autonomy. The goal of this paper is to offer an unbiased method to analyze the collaboration opportunities of existing SME networks, without relying only on subjective data. The difficulty in the classification of the collaborative models is that it must be extracted from objective parameters based of public data available on the web. To this aim, a semantic model is used to automatically extract information from unstructured texts. Then, we reconstruct the graph of existing collaborations among the companies, which depends on the activity they performed. Eventually the network graph is used to estimate the potential collaboration of a new company joining the network
Management and Production Engineering Review, 2020
Received: 16 March 2020 Abstract Accepted: 6 June 2020 Today, the changes in market requirements ... more Received: 16 March 2020 Abstract Accepted: 6 June 2020 Today, the changes in market requirements and the technological advancements are influencing the product development process. Customers demand a product of high quality and fast delivery at a low price, while simultaneously expecting that the product meet their individual needs and requirements. For companies characterized by a highly customized production, it is essential to reduce the trial-and-errors cycles to design new products and process. In such situation most of the company’s knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge to face new problems. In order to develop unique product and complex processes in short time, it is mandatory to reuse the acquired information in the most efficient way. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). However, these...
Journal of Cleaner Production, 2021
Abstract A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess... more Abstract A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess the level of implementation of sustainability strategies and practices in this type of business. According to the literature, only a few sustainability-maturity assessment models intended for MSMEs have integrated the following three factors: environmental knowledge management, environmental strategies and good practices, and environmental management systems. The sustainability maturity model proposed here for MSMEs is capable of supporting the efforts of companies in their attempts to achieve both environmental sustainability and an improvement in their production systems. The model encompasses a four-level qualitative scale and uses supervised classification algorithms to categorize companies through data analysis techniques. After applying the model to a group of MSMEs from different productive sectors in Colombia, the results have shown that 6% of the companies were at an insufficient level, 31% were at an initial level, 45% at a developed sustainability maturity level, and 18% at a consolidated level. This result implies that the decision makers in the latter group have paid greater attention to the strengthening of sustainability progress capabilities and, hence, to the definition of a maturation route.
2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2021
The study describes the design and implementation of automated fault detection and diagnostics (A... more The study describes the design and implementation of automated fault detection and diagnostics (AFDD) for office building systems. This work is part of larger research focused on distributed digital collaboration framework used in Facility Management. The implementation fully exploits distributed computing to make it possible remote and smart monitoring of the building, anomaly detection and eventually fault diagnostics. A huge number of data are gathered locally by smart sensors that are integrated and interconnected by Internet of Things (IoT). Local intelligence allows both anomaly detection and fault diagnostics: identification of the cause of the fault and choice of the corrective action. IoT allows to transfer on the cloud processed information, on higher level of abstraction, in order to execute diagnostics of the entire building system. Distributed diagnostics requires the collection and harmonization of a huge number of feature data and the extraction of significant sequences by Analytics. By feeding the network with relevant data about the anomalies extracted by local intelligent agents and by sharing the information at every level, the resulting AFDD system becomes a distributed computing application.
Supply Chain and Logistics Management, 2020
In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industria... more In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industrial networks, due to the need to compete in a globalized market, but also to the aspiration to provide sufficient stability for their own small business. SMEs belonging to networks share objectives and strategies with the other SMEs, while preserving their own individual autonomy. One of this network type is the supply chain, where companies collaborate with one or more other companies depending on the sector they belong. A typical problem in this context is to evaluate the place of a new SME inside the network, i.e., the number of potential clients, suppliers and competitors that the SME would have. The goal of this work is to offer an method to analyze the potentiality of existing SME networks based on public information available on the Web.
Supply Chain and Logistics Management, 2020
Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who... more Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability attributes rather than the price. Recently, the Electronic Product Code Information Services (EPCIS) standard was introduced to provide specifications for the representation of product traceability information. The collection and analysis of such information allows supply chains to be monitored and controlled through virtualization. Several applications of EPCIS were presented in literature, even if most of them are mainly focused on enabling technologies, with less emphasis on assessing how the available information can be used for a control at a higher level. This chapter review the relevant literature available on this topic, and present an architecture allowing the traceability of information about products throughout the entire supply chain by exploiting both the EPCIS standard and a NoSQL database. An ...
Collaborative Networks and Digital Transformation, 2019
Design and production departments are scarcely integrated in manufacturing companies. This fact, ... more Design and production departments are scarcely integrated in manufacturing companies. This fact, especially for companies with a highly customized production, is very critical, since the collaboration between the two departments is essential to reduce the trial-and-errors cycles to design new products and process. It is therefore necessary to collect data from the shop floor, especially the ones related to anomalies or critical situations, and make them at disposal to be used to improve the design of the next products and processes. The aim of this paper is to develop a knowledge-based system to digitalize and collect data regarding anomalies at the shop floor, and to integrate them with data coming from the design phase, in order to reduce the time for finalizing a new product. A case study has been developed for a car prototyping company to illustrate the potentiality of the proposed solution.
Collaboration in a Data-Rich World, 2017
Exploiting the collaboration between human and robots is a fundamental target for industrial Cybe... more Exploiting the collaboration between human and robots is a fundamental target for industrial Cyber-Physical Systems. Several studies have already addressed the evaluation of collaborative robotic cells, especially in automotive industry. Feasible tasks assignment to workers and robots were proposed in a few use-cases. However, previous studies start from an existing configuration of the collaborative assembly cell. Due to the moderate diffusion of collaborative robotic applications in the industry, it would be better to define a method orienting the design of a new instances of collaborative cells, by taking into account the different classifications of collaboration deriving by the new ISO 15066 standard. The classification depends on the kind of information that must be made available within the cell, and the possible methods of acquisition and communication of such information. This knowledge base will be represented in the form of ontology, as an extension of the CORA (Core Ontologies for Robotics and Automation) ontology, by IEEE Robotics and Automation Society. By adopting this ontology, it will be possible to support the design of new collaborative cell. An industrial case-study will prove the efficacy of the proposed method.
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021
The International Journal of Advanced Manufacturing Technology
Industrial companies are moving toward the electrification of equipment and processes, in line wi... more Industrial companies are moving toward the electrification of equipment and processes, in line with the broader energy transition taking place across the economy. Particularly, the energy efficiency and, consequently, the reduction of environmental pollution of intralogistics activities have become a competitive element and are now an actual research and development objective. A wireless power transfer is a contactless electrical energy transmission technology based on the magnetic coupling between coils installable under the ground level and a coil mounted under the vehicle floor, and it represents an excellent solution to decrease the demand for batteries by reducing vehicle downtimes during the recharge. This work aims to define a methodology to determine the optimal positioning of wireless charging units across the warehouse, both for static and dynamic recharging. To this aim, firstly, a mathematical model of the warehouse is proposed to describe transfers and storage/retrieval...
International Journal of Product Lifecycle Management
Product Lifecycle Management to Support Industry 4.0, 2018
Industry is currently undergoing a digital transformation for strengthening its competitiveness t... more Industry is currently undergoing a digital transformation for strengthening its competitiveness through the convergence between industrial automation and data exchange technologies. This trend exploits a multiplicity of technologies from Cyber Physical Systems and intelligent robotics to PLM and big data management, in order to transform the manufacturing systems in a network of smart and autonomous agents. Even if most of the technologies are already available nowadays, the key obstacle lies in the lack of experience in operating with such technologies. To develop the required skills, different strategies for learning should be adopted. The paper describes the first outcomes of TIPHYS (http://www.tiphys.eu/), an EU funded project for the development of 'social network based doctoral education on Industry 4.0'. The project organizes the learning material as small didactic elements that are accessed through an ontology-based platform. PLM concepts are applied to allow learners to customize their learning path, to provide them with a dynamic repository, whose content evolves and is enriched by the collaborative contribution of students themselves. The ontology structure is described with the help of selected examples.
Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, 2020
Customers are demanding more and more a product of high quality and fast delivery at a low price,... more Customers are demanding more and more a product of high quality and fast delivery at a low price, while simultaneously expecting that the product meets their individual needs and requirements. For companies characterized by a highly customized production, it is essential to optimize the use of machines and reduce the production cycle. The aim of this paper is to develop and evaluate how a MES is able to collect data from the machines and use such data to perform a real time planning of production activities. The system has been implemented in an Italian company that produces metal sheet components for prototypes and small series in the automotive sector, which is characterized by a production with high complexity and high mix of products. The obtained results show that the system provides several benefits in term of reduction of times.
Product Lifecycle Management Enabling Smart X, 2020
Sustainability, 2022
The importance of sustainable building maintenance is growing as part of the Sustainable Building... more The importance of sustainable building maintenance is growing as part of the Sustainable Building concept. The integration and implementation of new technologies such as the Internet of Things (IoT), smart sensors, and information and communication technology (ICT) into building facilities generate a large amount of data that will be utilized to better manage the sustainable building maintenance and staff. Anomaly prediction models assist facility managers in informing operators to perform scheduled maintenance and visualizing predicted facility anomalies on building information models (BIM). This study proposes a Machine Learning (ML) anomaly prediction model for sustainable building facility maintenance using an IoT sensor network and a BIM model. The suggested framework shows the data management technique of the anomaly prediction model in the 3D building model. The case study demonstrated the framework’s competence to predict anomalies in the heating ventilation air conditioning...
Applied Sciences, 2021
The introduction of the Internet of Things (IoT) in the construction industry is evolving facilit... more The introduction of the Internet of Things (IoT) in the construction industry is evolving facility maintenance (FM) towards predictive maintenance development. Predictive maintenance of building facilities requires continuously updated data on construction components to be acquired through integrated sensors. The main challenges in developing predictive maintenance tools for building facilities is IoT integration, IoT data visualization on the building 3D model and implementation of maintenance management system on the IoT and building information modeling (BIM). The current 3D building models do not fully interact with IoT building facilities data. Data integration in BIM is challenging. The research aims to integrate IoT alert systems with BIM models to monitor building facilities during the operational phase and to visualize building facilities’ conditions virtually. To provide efficient maintenance services for building facilities this research proposes an integration of a digit...
IFIP Advances in Information and Communication Technology, 2019
Despite the amount of research addressing the formalization of product-related knowledge, the pra... more Despite the amount of research addressing the formalization of product-related knowledge, the practical use of tools for knowledge management is still very low at the corporate level. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). Unfortunately, these two applications are scarcely integrated thus preventing an efficient and pervasive collection of data and the consequent creation of useful information. This is more critical in One-of-akind Production (OKP), where each product is unique, the process is not completely defined at the design stage, but it is continuously improved at the shop floor level by skilled operator. In such situation most of the company's knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge in order to face new problems. Because OKP must develop unique product and complex processes in short time, it is mandatory to reuse the acquired information in the most efficient way. It is therefore necessary to collect all the data from the shop floor and transform them in information that will be used in the development of the next product and process. The aim of this paper is to design a framework able to integrate data, from both design and manufacturing phases. To this aim, a framework has been designed to structure and relate information from the PLM and the MES systems. A case study has been developed for a car prototyping company to prove the efficiency of the proposed solution.
An important issue present in the most of manufacturing systems, and become worse in SMEs, is the... more An important issue present in the most of manufacturing systems, and become worse in SMEs, is the systematic management of the huge amount of unstructured information generated about products, from their design to their disposal. The aim of this chapter is to define a framework to manage such kind of data, overcoming the actual issues of the meaningless and the unstructured nature of generated information. To this aim, a knowledge management platform is proposed, both to store product information with semantic enrichment and to retrieve product information by means of a new similarity index. Such platform is based on the one hand on a non-relational data management system and on the other hand on a set of manufacturing ontologies. An example of the potentiality of the proposed framework is shown in the domain of telecommunication filter manufacturing
The need to compete in a globalized market, but also the aspiration to provide sufficient stabili... more The need to compete in a globalized market, but also the aspiration to provide sufficient stability for their own small business, drives Small and Medium Enterprises (SMEs) to aggregate in industrial networks, sharing objectives and strategies with other SMEs, while preserving their own individual autonomy. The goal of this paper is to offer an unbiased method to analyze the collaboration opportunities of existing SME networks, without relying only on subjective data. The difficulty in the classification of the collaborative models is that it must be extracted from objective parameters based of public data available on the web. To this aim, a semantic model is used to automatically extract information from unstructured texts. Then, we reconstruct the graph of existing collaborations among the companies, which depends on the activity they performed. Eventually the network graph is used to estimate the potential collaboration of a new company joining the network
Management and Production Engineering Review, 2020
Received: 16 March 2020 Abstract Accepted: 6 June 2020 Today, the changes in market requirements ... more Received: 16 March 2020 Abstract Accepted: 6 June 2020 Today, the changes in market requirements and the technological advancements are influencing the product development process. Customers demand a product of high quality and fast delivery at a low price, while simultaneously expecting that the product meet their individual needs and requirements. For companies characterized by a highly customized production, it is essential to reduce the trial-and-errors cycles to design new products and process. In such situation most of the company’s knowledge relies on the lessons learnt by operators in years of work experience, and their ability to reuse this knowledge to face new problems. In order to develop unique product and complex processes in short time, it is mandatory to reuse the acquired information in the most efficient way. Several commercial software applications are already available for product lifecycle management (PLM) and manufacturing execution system (MES). However, these...
Journal of Cleaner Production, 2021
Abstract A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess... more Abstract A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess the level of implementation of sustainability strategies and practices in this type of business. According to the literature, only a few sustainability-maturity assessment models intended for MSMEs have integrated the following three factors: environmental knowledge management, environmental strategies and good practices, and environmental management systems. The sustainability maturity model proposed here for MSMEs is capable of supporting the efforts of companies in their attempts to achieve both environmental sustainability and an improvement in their production systems. The model encompasses a four-level qualitative scale and uses supervised classification algorithms to categorize companies through data analysis techniques. After applying the model to a group of MSMEs from different productive sectors in Colombia, the results have shown that 6% of the companies were at an insufficient level, 31% were at an initial level, 45% at a developed sustainability maturity level, and 18% at a consolidated level. This result implies that the decision makers in the latter group have paid greater attention to the strengthening of sustainability progress capabilities and, hence, to the definition of a maturation route.
2021 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2021
The study describes the design and implementation of automated fault detection and diagnostics (A... more The study describes the design and implementation of automated fault detection and diagnostics (AFDD) for office building systems. This work is part of larger research focused on distributed digital collaboration framework used in Facility Management. The implementation fully exploits distributed computing to make it possible remote and smart monitoring of the building, anomaly detection and eventually fault diagnostics. A huge number of data are gathered locally by smart sensors that are integrated and interconnected by Internet of Things (IoT). Local intelligence allows both anomaly detection and fault diagnostics: identification of the cause of the fault and choice of the corrective action. IoT allows to transfer on the cloud processed information, on higher level of abstraction, in order to execute diagnostics of the entire building system. Distributed diagnostics requires the collection and harmonization of a huge number of feature data and the extraction of significant sequences by Analytics. By feeding the network with relevant data about the anomalies extracted by local intelligent agents and by sharing the information at every level, the resulting AFDD system becomes a distributed computing application.
Supply Chain and Logistics Management, 2020
In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industria... more In the last years Small and Medium-Sized Enterprises (SMEs) were driven to aggregate in industrial networks, due to the need to compete in a globalized market, but also to the aspiration to provide sufficient stability for their own small business. SMEs belonging to networks share objectives and strategies with the other SMEs, while preserving their own individual autonomy. One of this network type is the supply chain, where companies collaborate with one or more other companies depending on the sector they belong. A typical problem in this context is to evaluate the place of a new SME inside the network, i.e., the number of potential clients, suppliers and competitors that the SME would have. The goal of this work is to offer an method to analyze the potentiality of existing SME networks based on public information available on the Web.
Supply Chain and Logistics Management, 2020
Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who... more Especially in the food sector, fraud and counterfeiting are affecting the trust of consumers, who are more and more oriented to chose products basing on quality and traceability attributes rather than the price. Recently, the Electronic Product Code Information Services (EPCIS) standard was introduced to provide specifications for the representation of product traceability information. The collection and analysis of such information allows supply chains to be monitored and controlled through virtualization. Several applications of EPCIS were presented in literature, even if most of them are mainly focused on enabling technologies, with less emphasis on assessing how the available information can be used for a control at a higher level. This chapter review the relevant literature available on this topic, and present an architecture allowing the traceability of information about products throughout the entire supply chain by exploiting both the EPCIS standard and a NoSQL database. An ...
Collaborative Networks and Digital Transformation, 2019
Design and production departments are scarcely integrated in manufacturing companies. This fact, ... more Design and production departments are scarcely integrated in manufacturing companies. This fact, especially for companies with a highly customized production, is very critical, since the collaboration between the two departments is essential to reduce the trial-and-errors cycles to design new products and process. It is therefore necessary to collect data from the shop floor, especially the ones related to anomalies or critical situations, and make them at disposal to be used to improve the design of the next products and processes. The aim of this paper is to develop a knowledge-based system to digitalize and collect data regarding anomalies at the shop floor, and to integrate them with data coming from the design phase, in order to reduce the time for finalizing a new product. A case study has been developed for a car prototyping company to illustrate the potentiality of the proposed solution.
Collaboration in a Data-Rich World, 2017
Exploiting the collaboration between human and robots is a fundamental target for industrial Cybe... more Exploiting the collaboration between human and robots is a fundamental target for industrial Cyber-Physical Systems. Several studies have already addressed the evaluation of collaborative robotic cells, especially in automotive industry. Feasible tasks assignment to workers and robots were proposed in a few use-cases. However, previous studies start from an existing configuration of the collaborative assembly cell. Due to the moderate diffusion of collaborative robotic applications in the industry, it would be better to define a method orienting the design of a new instances of collaborative cells, by taking into account the different classifications of collaboration deriving by the new ISO 15066 standard. The classification depends on the kind of information that must be made available within the cell, and the possible methods of acquisition and communication of such information. This knowledge base will be represented in the form of ontology, as an extension of the CORA (Core Ontologies for Robotics and Automation) ontology, by IEEE Robotics and Automation Society. By adopting this ontology, it will be possible to support the design of new collaborative cell. An industrial case-study will prove the efficacy of the proposed method.
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021