86,657 research outputs found

    Assessing performance and value-creation capabilities in Lean healthcare: insights from a case study

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    Lean thinking is increasingly being applied worldwide. Yet its actual impact is still a puzzle, particularly when a ‘ full-implementation approach ’— which entails the adoption of a strategic approach to Lean dissemination on policy deployment procedures — is used. Focusing on the healthcare sector, this paper presents and tests a comprehensive measurement framework for Lean interventions. The paper explains how Lean testing can help decision-makers to solve managerial issues related to Lean initiatives

    Energy Monitoring of Fully Automated Dairy-Farm: A Case Study

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    Automation in livestock farm is developed for various monitoring and control services such as herd management, milk production, environmental control and behaviour monitoring. In such applications, automated systems are used in order to collect data on physiological and health conditions of the animals. Subsequently they are made available to the farmer, providing a general overview of the condition of the herd as well as detailed actions on herd management. However, a more advanced use of automation devices that take part in the production process without a direct human-control relies on the most advanced automation application in dairy production involves the use of robots or intelligent machines that are capable of interacting with their work environment. The present research was focused on the energy monitoring of a fully automated dairy farm, located in the Veneto region of Italy, including automatic: milking system (AMS), feeding system (AFS) and robotic scraper (ARS). The paper reports an analysis on performance indices to quantify improvements in the functionality of the automated systems, including energy consumption and man labour. Preliminary results have shown a reduction of energy consumption of at least 35% compared to conventional systems and, moreover, the energy consumption of the farm has become more regular, with the effect of a greater flexibility than conventional systems

    Non-contact feed weight estimation by RFID technology in cow-feed alley

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    The cow's individual feed intake and, consequently, feed efficiency are traits with a high economic value for the livestock farmer. Feeding behavior and feed intake have traditionally been determined by labour-intensive procedures such as human visual inspection and determination of feed refusals. However, the difficulty in manually collecting data at the time of feeding limits the extent of this type of monitoring. In order to overcome such limitations, optical techniques have been proposed in the last years as a fast-non-contact approach for feed weight/volume estimation. The present paper discusses the potential application of RFID (Radio-Frequency IDentification) technology for indirect estimation of the quantity of feed-ration present in the cow-feed alley. Experimental tests were carried out taking advantage of different amounts of feed ration for lactating cows (51.8% DM) composed by corn silage, alfalfa silage, hay, molasses, and concentrate. Preliminary results highlighted an interesting correlation (R2=0.90) between the minimum power demand for reading the RFID tags positioned on the feed-Alley and the quantity of feed-ration to analyze. As the quantities of feed-ration increased, the power demand increased, providing an indirect indication of the variation in quantity. Moreover, the evaluation of the height of the distributed feed-ration showed a high positive correlation (R2 = 0.96) with the minimum power requirement for reading the RFID tags positioned on the feed-Alley. The use of RFIDs on the feed-Alley represents an interesting solution to define both the quantity of ration to distribute and the evaluation of the residual feed-ration in the feed-Alley
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