Abstract
With the advance of information systems and business intelligence technologies, new possibilities and functionalities to measure, monitor and control processes have emerged in the research area and in the market. In the context of PLM system, not only KPI for strategic goals can be measure and indicators for decision but also operational metrics link to product, project and process to manage agility of companies.
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Gröger, C., Hillmann, M., Hahn, F., Mitschang, B., Westkämper, E.: The Operational Process Dashboard for Manufacturing. Procedia CIRP 7, 205–210 (2013)
Bricogne, M., Troussier, N., Rivest, L., Eynard, B.: Agile design methods for mechatronics system integration. In: Bernard, A., Rivest, L., Dutta, D. (eds.) PLM 2013. IFIP AICT, vol. 409, pp. 458–470. Springer, Heidelberg (2013)
Isık, O., Jones, M.C., Sidorova, A.: Business intelligence success: The roles of BI capabilities and decision environments. Inf. & Manag. 50, 13–23 (2013)
Vukšić, V.B., Bach, M.P., Popovič, A.: Supporting performance management with business process management and business intelligence: A case analysis of integration and orchestration. Int. J. of Inf. Manag. 33, 613–619 (2013)
Neely, A., Gregory, M., Platts, K.: Performance measurement system design: A literature review and research agenda. Int. J. Oper. Prod. Manag. 25, 1228–1263 (2005)
Kickstein, J., Drewinski, R.: Systematic indicator management as a component of a PLM environment Controlled product and process. Product Data Journal, 28–31 (2012)
Kemper, H., Baars, H., Lasi, H., Kemper, H.-G., Baars, H., Lasi, H.: An Integrated Business Intelligence Framework. In: Rausch, P., Sheta, A.F., Ayesh, A. (eds.) Business Intelligence and Performance Management, pp. 13–27. Springer, London (2013)
Đurić, Ž., Maksimović, R.: Efficiency of applying a model for measuring key performance indicators in an industrial enterprise. Sc. Research and Essays 8(14), 554–574 (2013)
Nudurupati, S.S., Bititci, U.S., Kumar, V., Chan, F.T.S.: State of the art literature review on performance measurement. Comput. Ind. Eng 60, 279–290 (2011)
Lohman, C., Fortuin, L., Wouters, M.: Designing a performance measurement system: A case study. European Journal of Operational Research 156, 267–286 (2004)
Neely, A., Gregory, M., Platts, K.: Performance measurement system design: developing and testing a process-based approach. Int. J. Oper. Prod. Manag. 20, 1119–1145 (2000)
Cheng, Y.-T., Chou, H.-H., Cheng, C.-H.: Extracting key performance indicators (KPIs) new product development using mind map and Decision-Making Trial and Evaluation Laboratory (DEMATEL) methods. African J. of Business Manag. 5, 10734–10746 (2011)
Beisheim, N., Stotz, F.: Key Performance Indicators for Design and Engineering. In: Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment, pp. 341–351 (2013)
Negash, S.: Business Intelligence. Communications of the Association for Information Systems 13, 77 (2004)
Sahay, B., Ranjan, J.: Real time business intelligence in supply chain analytics. Information Management & Computer Security 16, 4–28 (2008)
Abdelfattah, M.: A Comparison of Several Performance Dashboards Architectures. Journal of Intelligent Information Management 5, 35–41 (2013)
Chaudhuri, S., Dayal, U., Narasayya, V., D’Atri, A.: An overview of business intelligence technology. Communications of the ACM 54, 88 (2011)
Yigitbasioglu, O.M., Velcu, O.: A review of dashboards in performance management: Implications for design and research. Int. J. of Accounting Inf. System 13, 41–59 (2012)
CIMdata, Product Lifecycle Management – Empowering the Future of Business. CIMdata Inc., USA (2003)
Sharma, A.: Collaborative product innovation: Integrating elements of CPI via PLM framework. Comput. Aided Des. 37(13), 1425–1434 (2005)
Terzi, S., Bouras, A., Dutta, D., Garetti, M., Kiritsis, D.: Product lifecycle management – from its history to its new role’. Int. J. of Product Lifecycle Manag. 4(4), 360–389 (2010)
Rachuri, S., Fenves, S.J., Sriram, R.D., Wang, F.: A product information modeling framework for product lifecycle management. Comput. Aided Des. 37(13), 1399–1411 (2005)
Product Development Metrics, http://www.npd-solutions.com/metrics.html
Alemanni, M., Alessia, G., Tornincasa, S., Vezzetti, E.: Key performance indicators for PLM benefits evaluation: The Alcatel Alenia Space case study. Comput. in Ind. 59(8), 833–841 (2008)
Kenny, E., Meneses, D.: Common Framework for Extracting Information and Metrics from Multiple Change Trackers, EGI Community Forum 2012/EMI Second Technical Conference (2012)
Hahn, A., Austing, S.G., Strickmann, J.: Metrics – The business intelligence side of PLM. In: Int. Conf. on Product Lifecycle Management, PLM 2007, pp. 11–20 (2007)
Myllärniemi, J., Jussi Okkonen, H.K.: Utilizing Business Intelligence Framework for Leveraging Product Lifecycle Management. In: 9th Int. Conf. on Elect. Business (2009)
Kärkkäinen, H., Myllärniemi, J., Okkonen, J., Silventoinen, A.: Assessing Maturity Requirements for Implementing and using Product Lifecycle Management. In: 9th Int. Conf. on Elect. Business (2009)
Koch, M., Baars, H., Lasi, H., Kemper, H.-G.: Manufacturing Execution Systems and Business Intelligence for Production Environments. In: Proc. of the 16th AMCIS (2010)
Liu, S., Duffy, A.H.B., Whitfield, R.I., Boyle, I.M.: Integration of decision support systems to improve decision support performance. Knowledge and Information Systems 22, 261–286 (2009)
Do, N.: Application of OLAP to a PDM database for interactive performance evaluation of in-progress product development. Comput. in Ind., 1–10 (2014)
Lasi, H.: Industrial Intelligence - A Business Intelligence-based Approach to Enhance Manufacturing Engineering in Industrial Companies. Procedia CIRP 12, 384–389 (2013)
Kickstein, J., Drewinski, R.: Systematic indicator management as a component of a PLM environment Controlled product and process. Product Data Journal, 28–31 (2012)
Bricogne, M., Belkadi, F., Bosch-Mauchand, M., Eynard, B.: Knowledge based Product and Process Engineering enabling Design and Manufacturing Integration. In: Vallespir, B., Alix, T. (eds.) APMS 2009. IFIP AICT, vol. 338, pp. 473–480. Springer, Heidelberg (2010)
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Bosch-Mauchand, M., Bricogne, M., Eynard, B., Gitto, JP. (2014). Preliminary Requirements and Architecture Definition for Integration of PLM and Business Intelligence Systems. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds) Advances in Production Management Systems. Innovative and Knowledge-Based Production Management in a Global-Local World. APMS 2014. IFIP Advances in Information and Communication Technology, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44739-0_33
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