Technologie: Training

The realization of cognitive technical systems deals with the implementation of a knowledge representational level inside technical systems. Hence, cognitive functions and processes (planning, learning etc.) can be used. Especially, the realization of learning (in contrast to adaptation) is the key for novel applications. In application, fields dealing with the guidance of complex systems which can not partially or completely be performed by human operators depending on the system itself, promise a new quality of automation.

The shortening of both time to market und product life cycle in combination with an increase of cost pressure, demand a fast and flexible product development process. The idea of simultaneous engineering is to gain time by treating product, process and resources in parallel and thus discovering discrepancies faster and adjusting the necessary factors. In order to establish an efficient knowledge management a wiki platform, here acting as a social software, is introduced. It serves as a centre of navigation within the process chain and supports the communication between the subprojects. Content can be edited by any member of the research project and may be discussed and changed by others. Its fast and free implementation qualifies the wiki tool and offers a secure and easy to handle platform.

In a production network, teams or companies exchange information and products to create value. The competitive advantage of the team / company relies on that of the network. This paper addresses knowledge management in a production network especially the promotion of knowledge sharing and transfer. This is a substantial issue when, for example, a company comes to leave the network voluntarily or disappears because of natural or man-made catastrophes. In this case, the question remains whether the substituting company can acquire the tacit knowledge needed to fulfil its mission. Consequently, the operation of the network is also an acute issue. The paper proposes a methodology based on organisational and interorganisational learning and develops a learning laboratory that facilitates knowledge sharing and transfer. This lab supports, (a) knowledge sharing through the mental map’s knowledge elicitation of every company’s leader, and (b) knowledge transfer via dedicated learning-based ...

Developing and testing and operating complex machinery and repairing it under time pressure if it breaks down - individuals in many professions have to learn new skills. Moreover, they have to do so as quickly and as thoroughly as possible. Virtual technologies are supporting learning more and more frequently. Operations and procedures on machinery and plants are already taught in individual lessons on the virtual model. They can be repeated as often as desired without the space or time constraints of real machinery and without endangering either operator or plants through incorrect behaviour and can be practiced before a real machine or plant has been constructed.

Due to shortening product life cycles, complex supplier networks and an increasing number of parties involved, the decision making process has become both more critical and more difficult. The complexity and dynamics of the ramp-up phase make it necessary to not try to concentrate the decisions in on hand, but rather distribute decisions among decentralized yet competent decision makers on-site. It is, however, necessary to provide the decentralized decision makers with the basis and the capability of decision making, and a joint target system to ensure optimal outcome. The paper presents a heuristic approach to design and operate production ramp-up appropriate to stable and efficient ramp-up processes.

Many manufacturing firms are dissatisfied with the fulfilment of their logistic objectives. Instead of investing in ever powerful software tools, it is worthwhile to start out by identifying organizational stumbling blocks and knowledge gaps among employees. For this reason, the Fraunhofer IPA analyzed the training activities in manufacturing businesses when introducing ERP or MES systems. Knowledge gaps point to the need for training the logistics skills of the production operators. This paper describes a simulation game developed for this purpose, which can be used as a building block of the logistics knowledge management of manufacturing firms.

Organizational learning offers a good possibility for enterprises to compete with the dynamics of the market. Under certain conditions, process integrated education not only leads to process optimization in the firms, but also to the beginning of organizational learning. This is of great importance particularly to small and medium sized enterprises, since they normally lack appropriate structures.

Globalisation, shorter product life cycles and mass customization are only some keywords which describe the logistics branch. They lead to modified general conditions in the industry and to effects on the employment. Fields of activities and responsibilities are changed as well as demands on further education. Although logistics companies have realized theses changes, they still do not take them into account in their personnel planning. The article shows the interdependencies between general trends in logistics and organisation science and their effects on quantitative and qualitative effects on employment.

An effective knowledge management is only possible through an indirect management, i.e. associated circumstances have to be analyzed and improved. From this objective in German and Turkish enterprises in Istanbul an enterprise study was performed. It has been noticed from the findings of the research that the answers differentiate significantly according to execution of programmed information management activities and the number of employees.

Corporate success depends increasingly on immaterial assets. These are hard to assess, evaluate and shape. Only a few companies manage them systematically. Intellectual Capital Reporting provides a framework and opens the way for sustainable management of intangible assets.