Abstract
Benchmarking should make it possible to expand the knowledge through methods and strategies and to derive appropriate actions for the own company. Central principal in benchmarking is the analogy-based comparison. An analysis within the framework of a study group with 23 companies shows that especially the search for reasonable data and the handling of the quantity of information makes many problems. Bilateral benchmarking projects show that regardless of the industrial branch learning effects can be realized through benchmark comparisons. Especially a comparison of business processes based on defined ratios and process-analysis is promising. As an approach to solving a problem for the identification of the best solution a recognition of patterns is being proposed. Recognition of patterns means the filtering of figures of different ratios and characteristics of best practices and efficient business processes out of a large data base. Not anymore single ratios, rather expressions in several dimensions are goals of benchmarking. On a basis of 282 european companies, patterns of organizational structures, cost structures, product attributes, and client relationships of successful companies are exemplarily being demonstrated.
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© 1998 Springer Science+Business Media Dordrecht
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Wildemann, H. (1998). Performance analysis through benchmarking and recognition of patterns. In: Okino, N., Tamura, H., Fujii, S. (eds) Advances in Production Management Systems. IFIP — The International Federation for Information Processing. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35304-3_12
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DOI: https://doi.org/10.1007/978-0-387-35304-3_12
Publisher Name: Springer, Boston, MA
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