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2010
Conference Paper
Titel
Technology roadmapping - a dynamic, data based approach
Abstract
Roadmapping is a widely spread tool to support the technology planning process. A main benefit is the holistic planning approach that aligns all relevant planning information, e.g. market, product and technology data. However, technology roadmapping currently shows deficiencies concerning the handling of interdependencies between planning objects and the visualisation of roadmaps with respect to specific planning situations requirements. Currently, the consideration of interdependencies between planning objects is to a large extend based upon expert knowledge, and the generation and evaluation of possible planning alternatives is carried out manually by the process participants manually. Due to the high number of planning objectives, this is a highly complex task. Hence, the manual identification of all meaningful alternatives and their correct evaluation is nearly not possible, and the selection of optimal alternatives is not ensured. Regarding the visualisation of technology roadmaps the lack of situation-specific forms of technology roadmaps is another deficiency of the method. Thus, crucial decisions within the technology planning process, e.g. long-term technology planning, planning the development and application of production technologies for specific products or the synchronisation of technology application in different plants, are not supported sufficiently. Technology roadmaps for specific decisions need to visualise solely relevant information as a subset of all information about planning objects and interdependencies in an adequate way. This paper presents a dynamic, data based reference model for technology roadmapping to overcome the described deficiencies. The reference models follows a generic approach and can be adapted to a companys specific requirements. It includes a data model describing all relevant planning objects and their interdependencies as well as suitable forms of technology roadmaps for relevant decision-making situations. All required information for the roadmaps visualisation is extracted from the data model.