Abstract
As the use case patterns show, the smart factory provides a bundle of new opportunities to drive performance and increase competitive advantages for a company. New technologies require new skills, in particular digital skills. Additionally, and even more importantly for implementing smart manufacturing, use cases become the holistic understanding of any kind of process from end-to-end. The combination of new technologies with the existing knowledge about processes and pain points is a challenging task. Many interdependencies need to be considered, and knowledge from different functional departments has to be intelligently exploited to create value. Implementing the required changes is a major challenge, with many hurdles. This section shows how to overcome them successfully.
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References
Boyer, K. K., & Pagell, M. (2000). Measurement issues in empirical research: Improving measures of operations strategy and advanced manufacturing technology. Journal of Operations Management, 18(3), 361–374. https://doi.org/10.1016/S0272-6963(99)00029-7
Flynn, B. B., Schroeder, R. G., & Sakakibara, S. (1994). A framework for quality management research and an associated measurement instrument. Journal of Operations Management, 11(4), 339–366. https://doi.org/10.1016/S0272-6963(97)90004-8
Flynn, B. B., Schroeder, R. G., & Sakakibara, S. (1995). The impact of quality management practices on performance and competitive advantage. Decision Sciences, 26(5), 659–691. https://doi.org/10.1111/j.1540-5915.1995.tb01445.x
Hänggi, R., Fimpel, A., & Siegenthaler, R. (2021). LEAN Production – einfach und umfassend: Ein praxisorientierter Leitfaden zu schlanken Prozessen mit Bildern erklärt. Springer, Berlin Heidelberg. https://doi.org/10.1007/978-3-662-62702-0
Kraemer, A. K., & Kraemer, J. (2010). Flexibility of delivery frequency in logistics competition. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1583015
Noble, M. A. (1995). Manufacturing strategy: Testing the cumulative model in a multiple country context. Decision Sciences, 26(5), 693–721. https://doi.org/10.1111/j.1540-5915.1995.tb01446.x
Saraph, J. V., Benson, P. G., & Schroeder, R. G. (1989). An instrument for measuring the critical factors of quality management. Decision Sciences, 20(4), 810–829. https://doi.org/10.1111/j.1540-5915.1989.tb01421.x
Ward, P. T., McCreery, J. K., Ritzman, L. P., & Sharma, D. (1998). Competitive priorities in operations management. Decision Sciences, 29(4), 1035–1046. https://doi.org/10.1111/j.1540-5915.1998.tb00886.x
Zhang, L., Luo, Y., Tao, F., Li, B. H., Ren, L., Zhang, X., Guo, H., Cheng, Y., Hu, A., & Liu, Y. (2014). Cloud manufacturing: A new manufacturing paradigm. Enterprise Information Systems, 8(2), 167–187. https://doi.org/10.1080/17517575.2012.683812
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Budde, L., Hänggi, R., Friedli, T., Rüedy, A. (2023). Smart Factory Implementation Process. In: Smart Factory Navigator. Springer, Cham. https://doi.org/10.1007/978-3-031-17254-0_4
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DOI: https://doi.org/10.1007/978-3-031-17254-0_4
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