1,720,985 research outputs found
Le Fabbriche del Futuro verso l’eco-economia: dall’energy management all’energy efficiency management
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Autonomous Energy-aware production systems control
Get PDFEnergy and resource efficiency has recently become one of the most relevant topics of research in
manufacturing, both as industry accounts for a major part of the world energy consumption and in the
context of the increasing attention to the need of sustainable development at planetary level. This work aims
at paving the way to the development of novel energy-aware control policies of production systems, by
means of autonomous decisions about their states in terms of production and energy consumption, exploiting
the possibilities given by the new ICT technologies, such as Internet of Things and cloud computing, which
allow seamless information sharing among the machines through an appropriate and standardized ICT
infrastructure. The energy saving control approach investigated in this work exploits the current trend in
research to reduce the idle time of machines in favor of stand-by states, obtaining significant savings in terms
of energy, by allowing novel solutions for decentralized control. The proposed control enables the
production machines to autonomously share with and process the information of the other machines in the
system to decide in real-time their specific energy behaviour, even postponing processing if that is possible.
The approach adopted includes conceptual development of the dynamic behaviour models of the system and
the proposed policies, then their deployment in an application scenario taken by actual industry cases and
data, enabling study of the performance of the system with a detailed design of experiments. The proposed
approach represents a significant contribution to the state of the art, as the proposed energy-aware control
enables decisions based on real-time information instead of statistically-based forecasts of part arrival rates, as
in the previous literature; furthermore the approach is of relevant value for the practitioner, especially as it
paves the way to an operationalization to the vision of Cyber-Physical Systems and Industry 4.0
Back to Intuition: Proposal for a Performance Indicators Framework to Facilitate Eco-factories Management and Benchmarking
Get PDFIn the current competitive and regulated landscape, manufacturing enterprises struggle to improve their performances, encompassing environmental as well as economic objectives, towards sustainable manufacturing and the future Eco-factories. Experts and scholars have developed more and more indicators, usually referred to as Key Performance Indicators (KPIs), as a mean for steering and controlling the complex factory systems, characterized by dynamic interdependencies among different subsystems and external variables. The present study proposes a synthetic framework to bring back hundreds of environmental and economic KPIs to a few sound intuitive categories, in order to reduce duplications, recuperate meaningfulness and consciousness, facilitate inter and intra-organizational benchmarking. The approach, based on input-output modelling of physical flows (products, materials, energy, emissions, etc.) in manufacturing systems, can be used at different hierarchical levels in the plant and in different factory life-cycle phases (design, operations and re-design). The application of the framework is demonstrated on an extensive review of performance indicators gathered in industrial cases and in the literature
A new approach for machine's management: from machine's signal acquisition to energy indexes
No full textIn the highly competitive modern-day industrial landscape, characterized by globalization and resource
scarcity, manufacturers are striving to improve economic and environmental performance. Innovation
that enables self-adjustment, control and optimization of the energy consumption of individual machines
continues. However, more research is needed if such systems are to be deployed successfully,
especially considering the complex characteristics of the energy flows in the factory.
In this paper we propose a novel approach to the coordination of information, processing and sensing
systems for energy and resource efficient production systems. By leveraging on a recently-developed
framework focusing on physical flows of energy, materials and waste we propose a solution based on
specific energy efficiency KPIs and an online data acquisition/processing system, that enables real-time
monitoring of the current status of the machining process and lagging assessment of system energy
efficiency.
The proposed solution allows the identification of abnormal energy consumption during the operational
machine cycle, caused by incorrect part dimensioning or erroneous cutting conditions programmed
by the process engineer, enabling identification of potential disruptions with different gravity
levels, and delivery of meaningful alarms for the operator. Adaptive control of the machine cutting
conditions or even trajectory re-programming is then possible, by correlating the energy-consumption
data with other data, such as head temperature. Furthermore, by analysing the energy consumption of
value and non value adding activities over complete production cycles (such as a shift or day), it is
possible to monitor the progress of production systems toward achieving energy efficiency targets and to
conduct root-cause analysis of inefficient energy usage for continuous improvement programs.
We tested the proposed solution, modeling, index system ad online data acquisition/processing
platform, through an industrial case study by deploying the developed hardware and software modules
on a Nicolas Correa S.A. VERSA milling machine
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Towards environmental conscious manufacturing
No full textGrowing global competition, environmental concerns, legal and market requirements motivate production companies to strengthen their capability to monitor and control their factories. SCADA, MES, ERP and EAI provide limited and fragmented awareness on the behavior and performance of the manufacturing systems from the production, economic and environmental perspective. The introduction of wired or wireless sensor networks increases the available information for improved control, anomaly detection and condition monitoring on a local scale or with reference to specific systems. This paper presents a proposal for a holistic environmental conscious perspective of the factory, enabling identification and minimization of inefficiencies in the use of energy and resources, control of the environmental impact and maximization of manufacturing and economic performances. © 2014 IEEE
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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