information management

In the context of Industry 4.0 the change and digitalisation of technical information move more closely in the focus of research. During the whole life cycle of a product, relevant information arises, that has to be stored appropriately. Future industrial applications require adaptive information management, e.g., individual and appropriate delivery of data, connection of information, target-oriented search or visualisation of information. The focus of this contribution is on challenges of the digitalization of technical documentations with respect to Industry 4.0 paradigms. The handling of the technical documentation over the complete lifecycle of a product is discussed.

The challenge for the offshore wind industry is the transition form a “pioneer industry” to a mass-volume industry. Especially if the ambitious goal of the federal government to install offshore wind turbines with a total capacity of 6.5 gigawatts by 2020 in North and Baltic Sea is considered. For a reliable and economical generation of electricity, a development of the offshore wind turbines for the entire product life cycle is needed as well as the optimization of processes. At present a lot of data is recorded in the individual life cycle phases which contains valuable information for the optimization and further development of offshore wind turbines. Within this paper an approach for the merging information along the life cycle of offshore wind turbines aiming at product improvement will be presented.

Within structured wikis we can combine the web 2.0-advantages - flexibility, collective intelligence, self-organization and participation - with process oriented knowledge work. These wikis are able to use process structures to support complex processes. Thus, a structured wiki supports knowledge work in know-ledge intensive processes. Users are not bound to strict processes as the wiki technology enables creativity by definition. This paper shows the differences between traditional and structured wikis by example.

The handling of customer-individual requirements, product variants and a worldwide market requires the professionalization of knowledge-intense processes. Small and Medium sized Enterprises (SME) often have excellent individual competencies, but lack a systematic management of the associated knowledge. IT-solutions for Knowledge Management in SMEs provide limited functionalities and are thus rarely used. Therefore, a need exists for the business process oriented approach for Knowledge Management in SMEs, featured in this article. Implemented in a portal for information management, it supports optimization of knowledge-intense processes.

Nowadays, every partner in a global supply chain storages the logged information central. Due to the increasing complexity in supply chains, the central storage of information doesn’t fulfill the high requirements. Therefore it is essential to get a more transparent supply chain by exchanging important information. On the one hand, a technical part for exchanging information is needed and on the other hand, a standardization of which information should be exchanged is necessary. This paper presents a framework for the information management of global supply chains at the example of automotive logistics. The framework describes which information and where this information should be exchanged in a supply chain.

Today`s complex and dynamic logistic processes are largely addicted to the efficient management of relevant information. Integrated into centralised planning and control structures, the flow and management of information is mostly handled in separate processes or sub processes. This proceeding results in an additional effort for the information processing and in corresponding delays during the process execution. This is especially the case for mobile work processes. Wearable computing systems offer the possibility to use modern information and communication technologies for a direct integration of the information processing and information management into the mobile work process. In this way the mobile user is discharged and able to concentrate on his logistical main task.

The self-learning search engine improves the search for relevant information in enterprises by using a profile of the searcher and a context, that has to be chosen for each search request. Case-based reasoning is used to figure out which information sources contain relevant information for the given combination of profile and context. These information sources are further preferred in enterprise search.