Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Session Overview
SES 3.2: Smart Factories and Industrial IoT
Tuesday, 27/Jun/2017:
4:30pm - 5:30pm

Session Chair: Osiris Canciglieri Junior
Location: Aula N (first floor)

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107. Mini-factories for close-to-customer manufacturing of customized furniture: from concept to real demo

Andrea Francesco Barni1, Donatella Corti1, Paolo Pedrazzoli1, Diego Rovere2, Giuseppe Lucisano3

1SUPSI, Switzerland; 2TTS - Technology Transfer System S.r.l., via Francesco d'Ovidio 3 - 20131 Milano; 3SCM Group S.p.a., Via Emilia, 77, 47921 Rimini RN, Italy

EU furniture market sector employs around 1 million workers in 130.000 companies generating an annual turnover of around EUR 96 billion. Recent financial crisis led to a contraction of production that, in the best cases, took companies back to production levels of ten years before. In order to respond to this trend European manufacturers, have to improve value proposition along the whole production chain by leveraging on new production paradigms able to satisfy customers' dynamic needs by increasing added value of their products. Furniture customisation has been generally accepted as one of the strategies providing a competitive breakthrough for European furniture industry to remain competitive. The revision of production systems, mandatory to enable the level of manufacturing flexibility required by this type of production paradigm, led to the definition of innovative manufacturing concepts. Mini-factories, defined as compact systems relying on the concept of “manufacturing cell” able to manage in an integrated way all the equipment and processes required to manufacture a specific product, are one of those. These compact production systems, despite responding to flexibility criteria have been shown, by themselves, to be not enough to answer the issues faced by current furniture market.

In this paper we describe a new concept of manufacturing system enabling flexible manufacturing of green personalized products close to the customer in terms of features offered, place of fabrication, time to deliver, and cost. The proposed system encompasses all the technological and organizational requirements enabling to bring design to manufacturing of customized products within shopping malls. Starting from a user friendly product configurator, customers select and configure their custom products working on several customization degrees, as set-up by product designers during basic design phase. The full IT integration among shop and factory software tools, and the direct connection with the compact manufacturing system displaced next to the shop, enables to automatically forward production orders, as soon as the customer approves the configured product. The innovative production system, fully automating manufacturing operations on a single working center (i.e. nesting, cutting, boring, edge-banding), enables products’ manufacturing relying on just one production operator per shift. Just in time production and a short and flexible supply chain enable to keep stock at a minimum.

The integration of the whole system and relative testing has been carried out within Centro Brianza, one of the most relevant shopping mall in Milan, for the duration of 15 days. In this period customers had the possibility to access the shop, configure their products and see them manufactured in quasi-real time. The promising results of the demonstration activity pave the way for further exploration of the proposed concept.

241. Integration and deployment of an industrial architecture for the PERFoRM project

Giacomo Angione1, José Barbosa2,3, Frederik Gosewehr4, Paulo Leitao2,5, Daniele Massa1, João Matos6, Ricardo Silva Peres6, André Dionisio Rocha6, Jeffrey Wermann4

1AEA s.r.l. - Loccioni, Italy; 2Polytechnic Institute of Bragança, Campus Sta Apolónia, 5300-253 Bragança, Portugal, email: {jbabrosa, pleitao}; 3NESC-TEC, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; 4University of Applied Sciences Emden/Leer, German, email: {frederik.gosewehr, jeffrey.wermann}; 5LIACC – Artificial Intelligence and Computer Science Laboratory, University of Porto, Portugal; 6CTS UNINOVA, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, email:, {ricardo.peres, andre.rocha}

To meet flexibility and reconfigurability requirements, modern production systems need hardware and software solutions which ease the connection and mediation of different and heterogonous industrial cyber-physical components. Following the vision of Industry 4.0, the H2020 PERFoRM project targets, particularly, the seamless reconfiguration of robots and machinery. This paper describes the implementation of a highly flexible, pluggable and distributed architecture solution, focusing on several building blocks, particularly a distributed middleware, a common data model and standard interfaces and technological adapters, which can be used for connecting legacy systems (such as databases) with simulation, visualization and reconfiguration tools.

374. A framework of a smart injection molding system based on real-time data

Hwaseop Lee1, Kwangyeol Ryu1, Youngju Cho2

1Pusan National University, Korea, Republic of (South Korea); 2Manufacturing System R&D Team, Korea Institute of Industrial Technology, 55 Danggok 3-gil, Ipjang-myeon, Cheonan-si, Chungcheongnam-do 331-825, South Korea

The manufacturing industry has been facing several challenges, including sustainability, performance and quality of production. Manufacturers attempt to enhance the competitiveness of companies by implementing CPS (Cyber-Physical Systems) through the convergence of IoT(Internet of Things) and ICT(Information & Communication Technology) in the manufacturing process level. However, a CPS platform (or Smart factory in other words) or a framework is composed of different types of data acquisition/handling method, decision making rules and functions depending on the characteristic of the manufacturing company. In this paper, we propose a smart injection molding system framework based on real-time manufacturing data considering the characteristics of injection molding processes, modules that compose the framework, and their detailed functions. This paper is expected to be used as a guideline to increase the market competitiveness of injection molding industry and support the construction of a smart factory in preparation of Industire 4.0.

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