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Publications

Publications by Narciso Manuel Sobral

2019

An IIoT-based architecture for decision support in the aeronautic industry

Authors
Vita, R; Caldas, N; Basto, J; Alcalá, S; Diniz, F;

Publication
MATEC Web of Conferences

Abstract
The Industry 4.0 movement is driving innovation in manufacturing through the application of digital technologies, leading to solid performance improvements. In this context, this paper introduces a real-time analytical framework based on predictive, simulation and optimization technologies applied to decision support in manufacturing systems, enabled by an underlying reference implementation of an open Industrial Internet of Things (IIoT) platform. This architecture integrates critical equipment, manufacturing and corporate systems through a Unified IIoT Cloud Platform. A real case study on the aeronautic industry demonstrates the proposal feasibility of this architecture to enhance productivity, predict equipment failures and bring agility to react to unexpected events. In this case study, the monitoring tool displays the current status of the critical resources and the predictive tool calculates a probability of failure. When this probability reaches a certain threshold, the simulation tool is triggered to evaluate the impact of the disruption in the system’s productivity. Results from the tools are displayed online through an alert system so that each stakeholder is informed timely and in a contextualized way.

2018

FASTEN: An IoT platform for manufacturing. Embraer use case

Authors
Reis, R; Diniz, F; Mizioka, L; Olivio, P; Lemos, G; Quintiães, M; Menezes, R; Amadio, F; Caldas, N;

Publication
MATEC Web of Conferences

Abstract
FASTEN is an H2020 project under a bilateral call UE-Brazil. It aims to advance IoT and IoT enabled applications to support Industry 4.0 concepts, namely in the area of automation and additive manufacturing. The project results will be demonstrated through two pilots: One in Brazil, lead by a ThyssenKrupp use case, and the other in Europe, at Embraer facilities in Portugal. The detail on the Embraer use case, on pick'n'place automation, predictive and prescriptive analytics and assembly line simulation are described as FASTEN architecture and approach. © 2018 The Authors, published by EDP Sciences.

2019

FASTEN: EU-Brazil cooperation in IoT for manufacturing. The Embraer use

Authors
Reis, R; Diniz, F; Mizioka, L; Yamasaki, R; Lemos, G; Quintiães, M; Menezes, R; Caldas, N; Vita, R; Schultz, R; Arrais, R; Pereira, A;

Publication
MATEC Web of Conferences

Abstract
FASTEN is an H2020 project under a bilateral call UE-Brazil. Embraer is a global aerospace company, with manufacturing and assembly lines in Europe, Brazil and USA. FASTEN aims to advance IoT and IoT enabled applications to support Industry 4.0 concepts, namely in the area of automation and additive manufacturing. The project results will be demonstrated through two pilots: one in Brazil, lead by a ThyssenKrupp use case, and the other in Europe, at Embraer facilities in Portugal. The project results for the Embraer use case will be presented, with emphasis on bilateral collaboration gains provided by exploiting common frameworks for development and open architecture, and future opportunities for exploitation discussed.

2019

A simulation approach for spare parts supply chain management

Authors
Caldas, N; Sousa, JPD; Alcalá, SGS; Frazzon, E; Moniz, S;

Publication
Proceedings of the International Conference on Industrial Engineering and Operations Management

Abstract
To be competitive, companies must constantly innovate, and having efficient and well-managed supply chains is undoubtedly an important success factor. In the case of spare parts manufacturing, supply chain management is a very complex and arduous task. Quite often, spare parts have to be produced for products that have been on the market for very long, with the need to keep a large and varied stocks to ensure supply service level. With an increasing investment in the development and applications, the Additive Manufacturing (AM) technology can yield significant benefits to spare parts manufacturing. AM allows the production of parts with a high level of customization, without the need for setups, and helps to decrease costs, inventory levels and lead time. This new reality creates numerous challenges, forcing the design reformulation of traditional supply chains, and leading to an allocation of the production of certain types of parts downstream. This paper proposes a simulation model to address the use of the 3D printing technology on the supply chain of an elevator maintenance service provider. The simulation model allows the assessment of new supply chain designs, measuring their performance, thus avoiding the need of experimenting new solutions in the real system. © 2019, IEOM Society International.