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In the modern world we are continuously surrounded by information. The human brain has to analyse and interpret this information to transform into useable knowledge that is then used in decision making activities. The advent and implementation of Industry 4.0 will make it a requirement for systems within factories to interact and share large quantities of information with each other. This large volume of information will make it even more difficult for the human resources within the factory to sift through the large amount of information required since there is a limit to the information that our brains can cope with. Just in time information retrieval (JITIR) within the digital factory environment aims to provide support to the human stakeholders in the system by proactively yet non-intrusively providing the required information at the right time based on the users context. This paper will therefore provide an insight into the cognitive difficulties experienced by humans in the digital factory and how JITIR can tackle these challenges. By validating the JITIR concept, several industry scenarios have been evaluated: an exemplary model, concerning the machine tool industry, is presented in the paper. The results of this research are a set of guidelines for the development of a digital factory support tool., peer-reviewed

In the manufacturing world, knowledge is fundamental in order to achieve effective and efficient real time decision making. In order to make manufacturing system knowledge available to the decision maker it has to be first captured and then modelled. Therefore tools that provide a suitable means for capturing and representation of manufacturing system knowledge are required in several types of industrial sectors and types of company’s (large, SME). A literature review about best practice for capturing requirements for simulation development and system knowledge modeling has been conducted. The aim of this study was to select the best tool for manufacturing system knowledge modelling in an open-source environment. In order to select this tool, different criteria were selected, based on which several tools were analyzed and rated. An exemplary use case was then developed using the selected tool, Systems Modeling Language (SysML). Therefore, the best practice has been studied, evaluated, selected and then applied to two industrial use cases by the use of a selected opens source tool., peer-reviewed

Microsoft PixelSense is able to detect multitouch input and tagged objects as well, which makes it suitable to be used in net-based brainstorming sessions within small teams. However, any gestures above the table cannot be detected, which makes net-based brainstorming sessions less intuitive. Thus, we present a solution how Kinect can be used together with PixelSense to overcome this limitation without interference between the two devices., Procedia CIRP, 25, ISSN:2212-8271, 8th International Conference on Digital Enterprise Technology - DET 2014 Disruptive Innovation in Manufacturing Engineering towards the 4th Industrial Revolution

It is evidenced that manufacturing firms in order to be more competitive in market, must continuously update their product offers in order to better satisfy the customers’ requirements. Management should use the supply chain features more frequently, as the increased rate of product introductions, demands more from a business and needs more efforts to deliver the new products effectively and efficiently. To deliver the products at the targeted cost, time, and quality, the supply chain must be aligned with New Product Development (NPD) decisions. This will allow the manufacturing firm to overcome problems such as (partially) failed product launches due to the lack of product availability because of insufficient capacities. The integrated NPD-Supply Chain Management (SCM) enterprise has the benefit of increased supply chain capability, thus increasing the effectiveness of new product introductions and improves enterprise's performance. This research mainly focuses on automotive sector due to its supply chain environment being the subject of extensive research within its product development integration. The research also introduces the development of a framework that integrates flow of activities within the manufacturing enterprises and shows that this contributes all the business functions. It also aims to focus on using current modelling tools to represent the product development processes of its Original Equipment Manufacturer (OEM) and its suppliers. Through this research, the aim is to link the product development (PD) within a SCM context for an extended enterprise and to investigate the effect of the integration of SCM with NPD. The possible integration points will provide baseline guidelines to identify the key decision making points within the entire supply chain.