Fabrikplanung

„Gentelligence“ is a neologism and describes the property of parts to save, store and process data (intelligence) and further to pass information on to following generations of parts (genetic). Unlike existing technologies the gentelligent technology is able to store information without the physical separation of part and information. The present article highlights the potentials of gentelligent parts in assembly control and factory structuring.

The article presents an approach for the integration of the energy efficiency in factory planning processes. The main focus is not on the constructional hull but rather on the energy-efficient designing of production processes and production plants. The approach is of general validity but in the present example it is applied to the automotive industry. Main contents of the approach are aimed at the life cycle consideration of production plants.

Production planning within the Mercedes Car Group is challenged by reduction of development times while increasing the product portfolio and quality. New approaches were necessary to implement the factorys needs into the product development as early as possible. 5 Years ago the Digital Factory was founded to secure that no production is started without a digital validation of product, production process and tools. Today the final assembly planning at DaimlerChrysler follows an integrated workflow of final assembly, Logistics and facility planning.

The trend of shifting abroad personnel-intensive mounting from Germany to foreign countries continues. The assembly systems widely differ in investment demand and in output. Since the sales figures can hardly be reliably forecasted any more, it is a necessity to construct extreme flexible systems which can be exchanged by more economical solutions, even when the production has already started and we know reliable sales figures and more reliable prognoses.

Most enterprises have identified the need for flexibility, but the selection of the right degree of flexibility is a complex task. Sophisticated methods, which consider uncertainties in the valuation model, are time consuming and require a supporting software tool. The existing ones are applicable for very specific planning tasks only. In this paper, a methodology to support the valuation of manufacturing flexibility and PLANTCALC™, a supporting software tool, are presented. Both have been developed in a joint research project of the Institute for Machine Tools and Industrial Management and the Siemens AG.

This technical contribution presents a digital planning environment for an integrated facility layout and logistics planning. The aim is a noticeable reduction of time and effort for middle- and long-term facility planning and production planning. Therefore current data from the shop floor and order management are provided in an object-oriented consistent digital structure. This data is used to forecast the need for action and to deduct alternative solutions. Planning becomes more effective, long-term planning tasks become day-to-day activities so that the flexibility of the enterprise increases.

Current information technologies like bar codes or transponders offer an enormous potential to logistics of producing companies. But with these technologies the provision of information on processes or components along the value-adding chain is neither possible in real-time nor consistently. Future components should be able to store information on themselves, so that additional transponders are no longer required. This opens up new possibilities for a real-time production planning and control as well as for the segmentation and planning of factories.

The article highlights the current challenges factory planning is facing in the realm of changeability and the creation of flexible structures, which adapt to changing market environments. IM has conducted a survey among factory planning companies and provides the results as well as annotating remarks in this report.

In today’s changing market forecasts have become much less certain, thus seriously affecting in-house planning. The need to be able to adapt, on the other hand, is increasing. Transformability has therefore become a decisive key factor in the competitiveness of manufacturing companies in addition to the classical target factors of costs, time and quality. Nevertheless, transformability is seldom taken into sufficient consideration or implemented in practice, for it requires additional investments and the returns are not always clear. This paper describes a method that makes it possible for companies to calculate the relevant costs of changeability using the technique of scenario planning.

With Standardised Processes on the Right Track to Customised Factories The approaches of factory planning that have been developed many years ago have to be adjusted to today’s challenges. Therefore the basic systematics of the Supply Chain Operations Reference- Model (SCOR-Model) are consulted and transferred to the processes of factory planning. The aim is to accelerate the planning process and to generate planning results in a higher quality while decreasing the planning effort. This will be achieved by use of a consistent process orientation which bases on standardised processes, field-tested methods, models and tools and on best-practice examples. This article explains the system and contents of the Process Model of Factory Planning and will give an impression of the first software-based prototype.