This chapter presents the importance of the 5S methodology in the processes to maintain and seek continuous improvement in the conditions of organization, order, and cleanliness, as well as the optimization of working conditions, safety, work environment, personal motivation, and efficiency. Therefore, we present the characteristics of the 5S, some research on the 5S that has emerged during the last two decades, the benefits observed after the application, the process of implementation of the 5S, and a case study of the application.
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Social Enterprises face a significant challenge in improving their competitiveness without sacrificing their social objectives. Using an action research approach, we examine how the lean management tool 5S can be modified to fit the characteristics of the vulnerable workers involved in their operational processes. While 5S is typically applied to achieve efficiency, we find that the most important benefits of implementation for social enterprises are improvements in self-efficacy, ownership, and responsibility of the vulnerable workers. Other benefits were increased reliance on visual cues and reduced search time. Implementation of 5S highlighted the negative impact of circularity practices on operational efficiency.
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In deze publicatie wordt een 'tool' aangeboden om te komen tot het optimaliseren van de technische bedrijfsvoering. Deze tool is ontwikkeld in het kader van het project "Procesinnovatie Verspaning voor MKB-bedrijven".
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In September, the president of the Dutch central bank wrote what may have been the most remarkable letter of his career: it said that the ECB’s interest rate hikes will lead to losses for De Nederlandsche Bank (DNB) for the first time since 1932. Several countries throughout the eurozone are facing a similar problem. To absorb the losses of their central banks, European taxpayers risk having to pay tens or even hundreds of billions of euros a year. Meanwhile private banks get that same amount of money without having to do anything in return. The ECB now stands ready to make a crucial policy decision to determine whether billions in taxpayer money will again flow to the banking sector.
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This thesis aims to develop and validate a comprehensive and adaptable activity monitoring system that quantifies physical behaviours in children with and without developmental disabilities, including those utilizing assistive devices. This system seeks to overcome the current limitations in the accuracy and feasibility of existing monitoring devices by providing robust measurements in real-world settings.
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The labor productivity of construction projects is low. This urges construction companies to increase their labor efficiency, particularly when demands grow and labor is scarce. This blog introduces an overview that helps practitioners identify causes of low productivity to find and eliminate the root causes.
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De eerste uitgave van deze publicatie is in 1996 samengesteld door de werkgroep "Buigen van dunne plaat" en geeft gerichte theoretische en praktische informatie ten behoeve van respectievelijk de gebruikers van het buigproces, geïnteresseerden in dit proces, technische cursussen en opleidingen. In 2009 is deze publicatie aangepast aan de huidige stand der techniek. De inhoud van deze publicatie behandelt de aspecten welke voor het vormgeven van plaat door middel van buigen van belang zijn. De achterin toegevoegde supplementen over materialen en over machines en gereedschappen geven processpecifieke informatie over de desbetreffende onderwerpen. In de voorlichtingspublikaties VM 111 "Materialen" en VM 112 "Machines en gereedschappen" worden de algemene gegevens over deze onderwerpen behandeld.
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This paper reports on the first stage of a research project1) that aims to incorporate objective measures of physical activity into health and lifestyle surveys. Physical activity is typically measured with questionnaires that are known to have measurement issues, and specifically, overestimate the amount of physical activity of the population. In a lab setting, 40 participants wore four different sensors on five different body parts, while performing various activities (sitting, standing, stepping with two intensities, bicycling with two intensities, walking stairs and jumping). During the first four activities, energy expenditure was measured by monitoring heart rate and the gas volume of in‐ and expired O2 and CO2. Participants subsequently wore two sensor systems (the ActivPAL on the thigh and the UKK on the waist) for a week. They also kept a diary keeping track of their physical activities, work and travel hours. Machine learning algorithms were trained with different methods to determine which sensor and which method was best able to differentiate the various activities and the intensity with which they were performed. It was found that the ActivPAL had the highest overall accuracy, possibly because the data generated on the upper tigh seems to be best distinguishing between different types of activities and therefore led to the highest accuracy. Accuracy could be slightly increased by including measures of heartrate. For recognizing intensity, three different measures were compared: allocation of MET values to activities (used by ActivPAL), median absolute deviation, and heart rate. It turns out that each method has merits and disadvantages, but median absolute deviation seems to be the most promishing metric. The search for the best method of gauging intensity is still ongoing. Subsequently, the algorithms developed for the lab data were used to determine physical activity in the week people wore the devices during their everyday activities. It quickly turned out that the models are far from ready to be used on free living data. Two approaches are suggested to remedy this: additional research with meticulously labelled free living data, e.g., by combining a Time Use Survey with accelerometer measurements. The second is to focus on better determining intensity of movement, e.g., with the help of unsupervised pattern recognition techniques. Accuracy was but one of the requirements for choosing a sensor system for subsequent research and ultimate implementation of sensor measurement in health surveys. Sensor position on the body, wearability, costs, usability, flexibility of analysis, response, and adherence to protocol equally determine the choice for a sensor. Also from these additional points of view, the activPAL is our sensor of choice.
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We propose aesthetic engagement as a valuable construct for organisation studies to advance its contribution to organising for sustainability. Aesthetic engagement is defined as a set of material practices that re-engage humans and systems to trigger and accelerate transitions towards regenerative futures. We adopt an aesthetic, practice-based approach to study the emerging field of circular fashion, zooming in on six research projects evolving around bio-based textile design. Our results show that matter needs to matter more in sustainable organising in three key material practices: (1) re-presenting alternative systems, (2) re-imagining affective materialities and (3) re-claiming embodied ethical agency. Matter that reflects new ‘imagined’ realities - whether in artefacts, bodies or socio-material spaces - could greatly support stakeholder engagement and collective identity-building towards transitioning to regenerative futures.
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