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Colledani M.,Polytechnic of Milan | Tolio T.,CNR Institute of Industrial Technologies and Automation
CIRP Journal of Manufacturing Science and Technology | Year: 2011

An analytical method for the joint design of quality and production control parameters in unreliable multi-stage lines is proposed in this paper. Specifically, the method optimally sets the sample size, the sampling frequency and the position of the control limits of the quality control charts as well as the number of kanban cards at any production stage, by jointly considering the mutual relations between the controllers. Numerical results compare the solution of this integrated design with the configurations obtained by solving the two problems in isolation with existing techniques. They show that great benefits can be achieved by the proposed integrated design of quality and production control parameters, since it fully captures the interaction between the dynamics of the two controllers. © 2011 CIRP.

Terkaj W.,CNR Institute of Industrial Technologies and Automation | Urgo M.,Polytechnic of Milan
Proceedings - 2014 12th IEEE International Conference on Industrial Informatics, INDIN 2014 | Year: 2014

This paper presents the extension to an ontology-based data model supporting the design and performance evaluation of production systems. This extension aims to link the modeling of the spatial representation of physical objects with the characterization of their states and behavior. Furthermore, the formalization of the performance history of a production system and its components is addressed to capture both the spatial and state evolution of the objects. Such history can be provided by simulation runs or gathered from a monitoring system. A test case is described and then used to show how different software tools can be integrated to support the integrated design and evaluation of a production system. © 2014 IEEE.

Colledani M.,Polytechnic of Milan | Tolio T.,Polytechnic of Milan | Tolio T.,CNR Institute of Industrial Technologies and Automation
CIRP Annals - Manufacturing Technology | Year: 2012

Quality, maintenance and production control are fundamental functions for achieving desired production targets in multi-stage manufacturing systems. These aspects have been traditionally treated almost in isolation. However, a strong relation between equipment availability, product quality and system productivity do exist. This paper presents a general theory to analyze the production rate of conforming parts in manufacturing systems with progressively deteriorating machines and preventive maintenance. Results show that improved system performance can be achieved by a joint analysis and design of these functions, at system level. The industrial benefits are shown through application of the method to a real manufacturing context. © 2012 CIRP.

Terkaj W.,CNR Institute of Industrial Technologies and Automation | Urgo M.,Polytechnic of Milan
CEUR Workshop Proceedings | Year: 2012

The performance evaluation of manufacturing systems is a critical and difficult task to be addressed throughout the factory life-cycle phases, including the early design, detailed design, ramp-up, reconfiguration, and monitoring. An efficient and effective performance evaluation may have a relevant impact on the profitability of an industrial company. This paper addresses the application of a data model for virtual factories to the performance evaluation problem, aiming at exploiting the interoperability with other software tools to continuously update the virtual representation of a manufacturing system, so that accurate estimations can be obtained. A test case is described and then used to check the viability of the proposed approach in the case of Discrete Event Simulation (DES) based on a commercial software tool like Arena.

Colledani M.,Polytechnic of Milan | Tolio T.,CNR Institute of Industrial Technologies and Automation
International Journal of Production Research | Year: 2011

This paper presents an analytical method for evaluating the performance of production systems, jointly considering in a unique framework quality and production logistics performance measures. In the literature, quality and production logistics have traditionally been investigated using independent approaches. Thus far, only a few recent contributions have focused on their mutual inter-relation, showing that benefits can be achieved from an integrated analysis. This paper contributes to this growing research by considering, for the first time, production systems in which the behaviour of the machines is monitored by statistical control charts. The control action performed by the quality control system on the machines is directly modeled. Moreover, the impact of the quality control action on the logistic flow of parts in the system is taken into account. In order to estimate the performance of such systems, an approximate analytical method based on the system decomposition technique is developed. The accuracy of the method is assessed by comparing the results with those obtained by simulation. Analysis of the results provides new insights into the relations among the quality and production logistics performance measures and paves the way to the development of integrated design techniques for improved configurations of the system as a whole. © 2011 Taylor & Francis.

Pauwels P.,Ghent University | Terkaj W.,CNR Institute of Industrial Technologies and Automation
Automation in Construction | Year: 2016

An increasing number of information management and information exchange applications in construction industry is relying on semantic web technologies or tools from the Linked Open Data (LOD) domain to support data interoperability, flexible data exchange, distributed data management and the development of reusable tools. These goals tend to be overlapped with the purposes of the Industry Foundation Classes (IFC), which is a standard for the construction industry defined through an EXPRESS schema. A connecting point between semantic web technologies and the IFC standard would be represented by an agreed Web Ontology Language (OWL) ontology for IFC (termed ifcOWL) that allows to (1) keep on using the well-established IFC standard for representing construction data, (2) exploit the enablers of semantic web technologies in terms of data distribution, extensibility of the data model, querying, and reasoning, and (3) re-use general purpose software implementations for data storage, consistency checking and knowledge inference. Therefore, in this paper we will look into existing efforts in obtaining an ifcOWL ontology from the EXPRESS schemas of IFC and analyse which features would be required in a usable and recommendable ifcOWL ontology. In making this analysis, we present our implementations of an EXPRESS-to-OWL converter and the key features of the resulting ifcOWL ontology. © 2015 Elsevier B.V. All rights reserved.

Kadar B.,Hungarian Academy of Sciences | Terkaj W.,CNR Institute of Industrial Technologies and Automation | Sacco M.,CNR Institute of Industrial Technologies and Automation
CIRP Annals - Manufacturing Technology | Year: 2013

Modelling, simulation and evaluation of manufacturing systems are relevant activities that may strongly impact on the competitiveness of production enterprises both during the design and the operational phases. This paper addresses the application of a semantic data model for virtual factories to support the design and the performance evaluation of manufacturing systems, while exploiting the interoperability between various Digital Enterprise Technology tools. The paper shows how a shared ontology-based framework can be used to generate consistent 3D virtual environments and discrete event simulation models, demonstrating this way how the proposed solution can provide an interoperable backbone for heterogeneous software tools. © 2013 CIRP.

Greci L.,CNR Institute of Industrial Technologies and Automation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

This paper describes the design and implementation of an augmented reality (AR) guide for religious museum. The aim of this study is to provide to the museums a new guide tool that allows the users to understand the complex meanings of the religious artwork in an intuitive and user-friendly way. The tool has also the intent to facilitate the born of an intercultural dialogue between visitors with different backgrounds and creeds. In our design, the artworks are used as natural markers, using the camera of a portable device (smartphone or tablet), the system recognizes the artwork and superimposes it multimedia materials, 3D models and interactive/sharing sections. The App will run on the user’s device, reducing the hardware-related costs. Moreover, the guide remains available, for the users, even after the visit is finished and can be used outside the museum by framing the museum’s book. © Springer International Publishing Switzerland 2016.

Valente A.,CNR Institute of Industrial Technologies and Automation | Carpanzano E.,CNR Institute of Industrial Technologies and Automation
CIRP Annals - Manufacturing Technology | Year: 2011

The proposed work outlines the production system (re)configuration problem from the real-time system automation perspective. A multi-level approach to support the development of adaptive automation systems in reconfigurable manufacturing systems is introduced. Starting from the hardware resources selected to face the production demand, the developed approach enables the identification and modelling of automation tasks, as well as the design and implementation of the distributed self-adaptive control solutions based on IEC 61499. A deeper focus on a dynamic algorithm to schedule automation tasks over time is outlined. Finally, preliminary analyses are illustrated with reference to a robotic cell operating in a pilot assembly line. © 2011 CIRP.

Capozzi F.,CNR Institute of Industrial Technologies and Automation | Piro G.,Polytechnic of Bari | Grieco L.A.,Polytechnic of Bari | Boggia G.,Polytechnic of Bari | Camarda P.,Polytechnic of Bari
IEEE Communications Surveys and Tutorials | Year: 2013

Future generation cellular networks are expected to provide ubiquitous broadband access to a continuously growing number of mobile users. In this context, LTE systems represent an important milestone towards the so called 4G cellular networks. A key feature of LTE is the adoption of advanced Radio Resource Management procedures in order to increase the system performance up to the Shannon limit. Packet scheduling mechanisms, in particular, play a fundamental role, because they are responsible for choosing, with fine time and frequency resolutions, how to distribute radio resources among different stations, taking into account channel condition and QoS requirements. This goal should be accomplished by providing, at the same time, an optimal trade-off between spectral efficiency and fairness. In this context, this paper provides an overview on the key issues that arise in the design of a resource allocation algorithm for LTE networks. It is intended for a wide range of readers as it covers the topic from basics to advanced aspects. The downlink channel under frequency division duplex configuration is considered as object of our study, but most of the considerations are valid for other configurations as well. Moreover, a survey on the most recent techniques is reported, including a classification of the different approaches presented in literature. Performance comparisons of the most well-known schemes, with particular focus on QoS provisioning capabilities, are also provided for complementing the described concepts. Thus, this survey would be useful for readers interested in learning the basic concepts before going into the details of a particular scheduling strategy, as well as for researchers aiming at deepening more specific aspects. © 2013 IEEE.

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