Design concept towards a human-centered learning factory

Sandra Mattsson, Omkar Salunke, Åsa Fast-Berglund, Dan Li, Anders Skoogh
<span title="">2018</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sqnbv6uavzg4nagumbc5c6qwmi" style="color: black;">Procedia Manufacturing</a> </i> &nbsp;
Under the concept of "Industry 4.0", production processes will be pushed to be increasingly interconnected, information based on a real time basis and, necessarily, much more efficient. In this context, capacity optimization goes beyond the traditional aim of capacity maximization, contributing also for organization's profitability and value. Indeed, lean management and continuous improvement approaches suggest capacity optimization instead of maximization. The study of capacity optimization
more &raquo; ... costing models is an important research topic that deserves contributions from both the practical and theoretical perspectives. This paper presents and discusses a mathematical model for capacity management based on different costing models (ABC and TDABC). A generic model has been developed and it was used to analyze idle capacity and to design strategies towards the maximization of organization's value. The trade-off capacity maximization vs operational efficiency is highlighted and it is shown that capacity optimization might hide operational inefficiency. Abstract Learning factories play an important role when studying multi-disciplinary problems. Such a problem is to support operators in multi-variant assembly. Multi-variants cause problems with product quality, production time as well as cognitive load and therefore it is important to find ways to support operators in this context. To assess the effects of multi variants, a design concept were developed in a learning factory environment (SIILab, CPPS-testbed). The concept was constructed at a conveyer belt with three assembly stations using Casat software for instruction presentations. The following aspects were included in the humancentered learning factory: studying the introduction of advanced automation, managing product variety, supporting operators in finding information and supporting existing human-automation interactions. Abstract Learning factories play an important role when studying multi-disciplinary problems. Such a problem is to support operators in multi-variant assembly. Multi-variants cause problems with product quality, production time as well as cognitive load and therefore it is important to find ways to support operators in this context. To assess the effects of multi variants, a design concept were developed in a learning factory environment (SIILab, CPPS-testbed). The concept was constructed at a conveyer belt with three assembly stations using Casat software for instruction presentations. The following aspects were included in the humancentered learning factory: studying the introduction of advanced automation, managing product variety, supporting operators in finding information and supporting existing human-automation interactions.
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