1,142 research outputs found
All’origine degli studi urbani a Napoli, la ricerca seminale di Agostino Renna/At the origins of urban studie in Naples, the seminal research of Agostino Renna
No full textGli studi urbani hanno avuto una grande influenza nell'urbanistica italiana per la pianificazione dei centri storici. Questo resoconto della loro origine nel contesto napoletano, protagonista Agostino Renna, mette in evidenza le componenti teoriche e metodologiche fondamentali
Apertura dei lavori, ringraziamenti e presentazione del lavoro di ricerca
No full textIl testo racchiude la relazione di apertura dei lavori di presentazione della ricerca sulla partecipazione dei cittadini all'organizzazione dei servizi sociali
Il medico nella società complessa: sfide formative
No full textLa riflessione contemporanea attorno alla salute e alla malattia ha evidenziato un crescente bisogno di dialogo tra settori scientifico-disciplinari eterogenei. La società complessa multiculturale in cui viviamo pone, infatti, sfide inedite al medico e alla medicina: dal ruolo preponderante che le nuove tecnologie hanno negli svariati ambiti dell'agire medico, alla posizione sempre più informata e critica di pazienti "esigenti" a cui fa da contraltare la difficile interpretazione dei bisogni di una sempre più ampia fascia di pazienti "fragili". La direzione è quella di costruire, muovendo dal sapere medico, modelli teorici, deontologici, di formazione-azione incentrati sul concetto di cura, prevenzione e promozione del benessere. Modelli che possono generare in chiave ecosistemica e alla luce del paradigma della complessità scenari inediti per la formazione dei professionisti della cura. Il testo rende conto del dibattito attorno alla questione medica, proponendo sguardi disciplinari molteplici oltre che una serie di suggestioni formative volte al ripensamento della relazione medico-paziente-comunità-istituzioni
A dynamic adjusted aggregate load method to support workload control policies
No full textWorkload control mechanisms are widely studied in the literature for the control of job-shop systems. The control of these systems involves acceptance, order release and priority dispatching. At the release level, the workload norm controls the "enters" of the jobs; it is relevant how the aggregate workload is computed. Few works have studied new computation methods of the aggregate workload but use the adjusted aggregate workload proposed in the literature. This paper proposes a dynamically adjusted aggregate workload to improve the performance of the workload control mechanism in job-shop systems. The adjusted aggregate workload is updated when each part exits from a workstation; this means that the workload used to release the orders is related to the state of the job shop in real-time. Simulation is used to evaluate and compare the proposed model to the classical models proposed in the literature. The simulation experiments demonstrate improvement of performance and how the model proposed is robust under different manufacturing system conditions
Tasks Allocation Based on Fuzzy Rules in Fractional Assembly Line with Redundancy
No full textIn recent years, assembly line design methodologies have included the possibility of sharing tasks between stations. These approaches increase the throughput, improving the workload balance among the stations. Sharing operations can support the management of assembly lines with task redundancy. The redundancy of the tasks between two consecutive stations improves the robustness of the assembly line to unforeseen events. A control policy that allocates the shared tasks between two adjacent stations is crucial for the performance of the assembly line. This paper proposes a fuzzy approach to distributing the workload of the shared tasks between two consecutive stations. The fuzzy model allows for the distribution of the workload between the stations in a more gradual way. Simulations were conducted to allow for a performance evaluation with a model proposed in the literature. The results show how the fuzzy model improves all the performance measures evaluated; in particular, when the inter-arrival of the raw items is rather stable. In these conditions, the reduction of the average time and its standard deviation is about 50% to 80%, while the reduction of the work in process is about 60% to 90%. These benefits are obtained with a relevant increase of the variations of the average utilization of the stations
Comparison of Dynamic Decoupling Point and Dynamic Buffer Level for Flexible Flow Shops in a Hybrid MTS–MTO Production Model
No full textThe competition and the volatility of today’s production context require that enterprises are able to rapidly adapt to changes, reducing total costs in production. The main relationship between producer and consumer can be conducted through Make-To-Order (MTO) or Make-To-Stock (MTS) systems. This study proposes a hybrid MTS and MTO production system with a dynamic decoupling point. The proposed model concerns the monitoring of earliness and tardiness of customer orders to move the decoupling point towards MTS or MTO. Simulation models are proposed to test the proposed model following periodic or continuous review. The numerical results highlight that the best dynamic approach is the periodic review, which is more effective when the customer demand rate is higher
A Review of Game Theory Models to Support Production Planning, Scheduling, Cloud Manufacturing and Sustainable Production Systems
No full textCyber-physical systems, cloud computing, the Internet of Things, and big data play significant roles in shaping digital and automated landscape manufacturing. However, to fully realize the potential of these technologies and achieve tangible benefits, such as reduced manufacturing lead times, improved product quality, and enhanced organizational performance, new decision support models need development. Game theory offers a promising approach to address multi-objective problems and streamline decision-making processes, thereby reducing computational time. This paper aims to provide a comprehensive and up-to-date systematic review of the literature on the application of game theory models in various areas of digital manufacturing, including production and capacity planning, scheduling, sustainable production systems, and cloud manufacturing. This review identifies key research themes that have been explored and examines the main research gaps that exist within these domains. Furthermore, this paper outlines potential future research directions to inspire both researchers and practitioners to further explore and develop game theory models that can effectively support the digital transformation of manufacturing systems
Switch-Off Policies in Job Shop Controlled by Workload Control Concept
No full textThe reduction in emissions and the increase in energy costs push companies to identify solutions to reduce energy consumption in production systems. One of the approaches proposed in the literature is the shutdown of machines to reduce energy consumption in the idle state. This solution does not affect production processes and can be applied in various manufacturing fields. This paper proposes switch-off policies in manufacturing systems under a workload control system. The shutdown policies developed consider the number of items in the queue and the calculation derived from the workload control mechanism. Simulation models have been developed to test the proposed policies using the case always on as a benchmark, considering different levels of absorbed power in the inactivity and warm-up states and different warm-up times. The results highlight how the switch policies that include the workload evaluation drastically reduce the number of on/off activities, assuring lower energy consumption
Energy saving by switch-off policy in a pull-controlled production line
No full textThe control of the consumption during the machine idle periods can support energy saving policies in manufacturing systems. The strategy to switch-off the machines reducing the energy consumed during the idle periods can lead to important energy saving. This paper proposes an adaptive control strategy to switch off/on the machines of a production line under pull control policy. The controller of each machine uses the information of the downstream buffer and the satisfaction of the customer order to apply the switch-off policy. The numerical evaluation compares the proposed policy with the approaches proposed in literature considering the trade-off between buffer level and energy saving. The simulations test the proposed policy under different demand profiles and production line configurations. The proposed policy reduces the energy consumption without any effect on the customer performance. The production line balanced or the bottleneck in the last machine leads to the better results
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