Towards the Integration of Process and Quality Control using Multi-agent Technology – P. Castellini, C. Cristalli, M. Foehr, P. Leitao, N. Paone, I. Schjolberg, J. Tjønnås, C. Turrin, T. Wagner LINK
Abstract- The paper introduces a vision on the design of distributed manufacturing control systems using the multi-agent principles to enhance the integration of the production and quality control processes. It is highlighted how agent technology may enforce interaction of manufacturing execution system and distributed control system, enhancing the exploitation of the available information at the quality control and process control levels. A specific focus is made on a suitable engineering methodology for the design and realization of such concept. Innovation is also presented at the level of adaptive process control and self-optimizing quality control, with examples related to a home appliance production line. LINK
GRACE Ontology Integrating Process and Quality Control - Paulo Leitão, Nelson Rodrigues, Claudio Turrin, Arnaldo Pagani, Pierluigi Petrali LINK
Abstract- Multi-agent systems paradigm is a suitable approach to implement distributed manufacturing systems addressing the emergent requirements of flexibility, robustness and responsiveness. In such systems, an ontology is a crucial piece to provide a common understanding on the vocabulary used by the intelligent, distributed agents during the exchange of shared knowledge. This paper describes the design of an ontology to define the structure of the knowledge that is used within a multi-agent system integrating process and quality control in production lines for home appliances, which is being developed within the EU FP7 GRACE (inteGration of pRocess and quAlity Control using multi-agEnt technology) project. The ontology schema is validated by instantiating for a case study derived from a washing machines production line.
Methodology for consideration of product quality within factory automation engineering - M. Foehr, T. Jäger, C. Turrin, P. Petrali, A. Pagani LINK
Abstract – The present paper deals with the question how product quality can be influenced within the engineering of factory automation systems. It focuses on discrete manufacturing processes and presents a methodology to gather and analyze relevant influences on product quality within a so called MPFQ- model. The model is based on four main elements: Materials, Processes, Functions and Quality. The paper brings together functional design/thinking in plant design with product and manufacturing design. It will show the basic architecture behind the MPFQ model and how quality influences can be methodically detected. Afterwards the application of the MPFQ-model will be shown and benefits will be evaluated.
Adaptation of Functional Inspection Test Plan in a Production Line using a Multi-agent System - Nelson Rodrigues, Paulo Leitão, Matthias Foehr, Claudio Turrin, Arnaldo Pagani, Roberto Decesari LINK
Abstract- The multi-agent systems technology is a proper approach to implement distributed manufacturing systems exhibiting adaptation and flexibility. This paper proposes a multi-agent based solution for the adaptation of the functional test plan in a production line producing washing machines, aiming to increase the process productivity and product quality. The global adaptation mechanism is embedded on the multi- agent system infrastructure, allowing the optimized selection of tests based on the correlation of the quality data gathered along the production line. The proposed approach was developed and installed on a real production line producing washing machines under the European Seventh Framework Programme GRACE project.
Implementation of a methodology for consideration of product quality within discrete manufacturing - M. Foehr, T. Jäger, C. Turrin, P. Petrali, A. Pagani, P. Leitao LINK
Abstract: The present paper deals with the questions how product quality can be influenced within product manufacturing and how production control can be optimized for increasing product quality. It focuses on discrete manufacturing processes and presents a methodology to gather and analyze relevant influences on product quality and a multi-agent architecture for flexible and quality focused production control. It will be shown how both approaches can be implemented to achieve a flexible, adaptable and quality focused production process control.
Methodology for consideration of system quality within manufacturing - M. Foehr, T. Jäger, C. Turrin, P. Petrali, A. Pagani, P. Leitao LINK
Abstract – The present paper deals with the question how system quality can be influenced within its engineering and manufacturing. It focuses on discrete manufacturing by system of systems and presents a methodology to gather and analyze relevant influences on system quality within a MPFQ-model. The model is based on four main elements: Materials, Processes, Functions and Quality. The paper brings together functional design/thinking in system of systems engineering with system engineering and manufacturing design. It will show the basic architecture behind the MPFQ model and how quality influences can be methodically detected. Afterwards the application of the MPFQ-model will be shown and benefits will be evaluated.
A Quality-Oriented Digital Twin Modelling Method for Manufacturing Processes Based on A Multi-Agent Architecture - Xiaochen Zhenga, Foivos Psarommatisa, Pierluigi Petrali, Claudio Turrin, Jinzhi Lua, Dimitris Kiritsis LINK
The quality of a product is highly dependent on manufacturing processes. The recent development of industrial information technologies, such as Cyber-Physical Production Systems, Industrial Internet of Things, and Big Manufacturing Data Analytics has empowered the digitalization of manufacturing processes and promoted the concept of Digital Twin (DT). As one of the fundamental enabling technologies for Industry 4.0, DT enables the convergence between a physical system and its digital representation. DT modelling is the basis of implementing DT in practice. In this paper, we propose a DT modelling method based on a multi-agent architecture. It focuses on quality control during manufacturing processes and provides solutions to gather relevant information and analyze the corresponding influences on product quality. The MPFQ-model (Material, Production Process, Product Function/Future, Product Quality) is adopted to support the analysis of main influential factors related to the final product quality during the manufacturing phase. The five-dimension architecture is used as the basis for the DT models, including (i) physical entities, (ii) virtual models, (iii) DT data, (iv) services and (v) connections. Based on this architecture a Multi-Agent System (MAS) component and a semantic engineering component are integrated to create a quality-oriented DT framework.
From Ontologies to Operative Data Models: A Data Model Development Supporting Zero Defect Manufacturing - Claudio Turrin, Federica Acerbi, Antonio Avai, Arnaldo Pagani, Manfredi Giuseppe Pistone, Angelo Marguglio, Pierluigi Petrali LINK
Abstract. Resource consumption is expected to reach 167 Gigatonnes by 2060 doubling the amount accounted in 2017. More than ever, manufactur-ing companies are asked to rapidly face this issue to limit their negative im-pacts on the entire society. Factories are supposed to act on their internal op-erating activities to enhance the quality of both products and processes re-ducing as much as possible the industrial waste generated. Among all, the ze-ro-defect manufacturing principles represent an opportunity towards this di-rection, but companies necessitate to rely on their existing assets, both digital and physical, to create value based on that. Therefore, this contribution aims to develop an operating database based on a structured data model enabling to link, and reason over, three main areas (i.e. material, process, function) in-fluencing the final product quality. These areas were identified in an already validated ontology, GRACE, considering them as the key elements to be kept under consideration to evaluate the impacts on product quality facilitating to make zero-defect oriented decisions. Indeed, the developed model, to be useable by a manufacturing company, was aimed to ensure to be data source independent, to embed these four areas, to include all the internal processes (i.e., pre-assembly, assembly) of a factory, and to transform abstracts ideas into operative actions. The data model development procedure is described, and its application was performed in a case study (i.e., an assembly line). This application enabled to validate it highlighting the key requirements for a discrete manufacturing company to embrace zero-defect manufacturing
RMPFQ: A Quality-oriented Knowledge Modelling Method for Manufacturing Systems Towards Cognitive Digital Twins - Xiaochen Zheng, Pierluigi Petrali, Jinzhi Lu, Claudio Turrin, Kiritsis Dimitris LINK
Abstract - Digital Twin is one of the fundamental enabling technologies for Industry 4.0 as it allows the convergence between a physical system and its digital representation. A proper modelling method is the prerequisite for successful digital twin implementation. The manufacturing processes determine critically the quality of the manufactured product. Its key elements need to be systematically organized when modelling a manufacturing process. This paper proposes a semantic modelling method named RMPFQ (Resource, Material, Process, Function/Feature, Quality) aiming to interlink the main influential factors related to product quality during manufacturing processes. The proposed RMPFQ model is formalized with an application ontology following the IOF-Core middle-level and BFO top-level ontologies. Based on this ontology, a semantic-driven digital twin architecture is designed and mapped to the recently proposed Cognitive Digital Twin concept. A correlation matrix is designed to quantify the relationships among RMPFQ elements thus to facilitate the industrial applications. A case study based on the assembly process of a washing machine is conducted to demonstrate the implementation procedures of the proposed RMPFQ method.
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