1,721,261 research outputs found
Advanced Manufacturing in the Framework of I 4.0
No full textAdvanced manufacturing technologies are a key driver of competitiveness in many
industries, which contributes to keeping skills and jobs in central Europe
A two-step optimization model for the distribution of perishable products
No full textOptimal planning for distribution networks of perishable products is addressed by means of a two-step approach pursuing both strategic and tactical goals. The distribution network is represented as a directed graph, and discrete-time dynamic equations are devised to model the storage and transportation of products. The first decision step consists of an optimization problem to account for a strategic viewpoint. In particular, this problem allows to select optimal values for replenishment cycles of products, safety stocks, and amounts of products to be transferred among the nodes of the network by considering uncertainty on long-term demand predictions. The second decision step requires the solution of rolling-horizon optimization problems at the various time buckets that exploit accurate, short-term predictions of customers' demands according to a tactical perspective. In this case, the strategic decisions on the amounts of products to be transferred are tuned according to the available short-term predictions of demands. The effectiveness of the proposed approach is showcased by simulations in a case study, in comparison with a classical lot-for-lot strategy
Dall'Extraordinario Libro di Sebastiano Serlio. Un progetto di portale di Smeraldo Smeraldi e i portali dei palazzi Cesi a Roma e Corigliano a Napoli
No full textI cinquanta modelli di portali «rustici» e «dilicati»
pubblicati da Sebastiano Serlio nel libro Extraordinario
del 1551 ebbero una fortuna geograficamente estesa e
durevole nel tempo, testimoniata dal notevole numero sia
delle riedizioni del volume, sia dei portali realizzati dal
Sud Italia al Nord Europa sulla falsariga di una o dell’altra
delle tavol
Quality management in the industry 4.0 era
No full textIn the current competitive scenario, manufacturing companies are facing various challenges related to an increasing level of variability. This variability means different sets of dimensions such as demand, volume, process, technology, quality, customer behavior and supplier attitude, and transform the industrial systems engineering domain. A new paradigm tries to solve these challenges and solutions such as "the fourth industrial revolution" or "Industry 4.0" refers to new production patterns, including new technologies, productive factors and labor organizations, which are completely changing the production processes and developing high-efficiency production systems that make it possible to minimize production costs and improve production and product quality. Manufacturing companies need to achieve a substantial improvement in performance by manufacturing high-quality products and creating highly flexible systems that make it possible to maintain their efficiency even when demand varies dramatically. Tools for the management and optimization of quality are vitally important. In this way the adoption of highly flexible cyber physical production units permits the implementation of production processes capable of guaranteeing high-quality standards in the finished product, even in the case of small production lots. Industry 4.0 provides promising opportunities for quality management therefore, the purpose of this paper is to focus on the quality management and industry 4.0 concepts and analyze the current state of literature trying to understand the implications and opportunities for quality management in the industry 4.0 era
Circular Economy e Manifattura Additiva: esperienze dal progetto EU : AMICE
No full textPresentazione dei risultati del Progetto AMICE sull'Advanced Manufacturing in ambito Industria 4.0 e Fabbrica Intelligente. Confronto con i Partner Europei e i bacini industriali loro conness
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
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