An integrated business intelligence framework: Closing the gap between IT support for management and for production

Advanced Information and Knowledge Processing

Volumn , Issue 9781447148654, 2013, Pages 13-26

  Kemper, Hans Georg ^a   Baars, Henning ^a   Lasi, Heiner ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85032265446     PISSN: 16103947     EISSN: 21978441     Source Type: Book Series    
DOI: 10.1007/978-1-4471-4866-1_2     Document Type: Chapter

References (50)

1. ActionPlanT: ICT for manufacturing—the ActionPlanT roadmap for manufacturing 2.0 (2012). Available via http://www.actionplant-project.eu/public/documents/roadmap.pdf. Accessed 25th July 2012
2. Alter, A.: Business intelligence—are your BI systems making you smarter? CIO Insight 05/2003, 77–85 (2003)
3. Baars, H., Kemper, H.G.: Management support with structured and unstructured data—an integrated business intelligence framework. Inf. Syst. Manag. 25(2), 132–148 (2008)
4. Baars, H., Kemper, H.G.: Ubiquitous computing—an application domain for business intelligence in the cloud? In: Proceedings of the 17th Americas Conference on Information Systems (AMCIS), USA (2011)
5. Baars, H., Qie, L.: BI in the Cloud – Die Cloud als neuer Ansatz zur Erhöhung der BI-Agilität? BI Spektrum 7(2), 26–29 (2012)
6. Baars, H., Sun, X.: Multidimensional analysis of RFID data in logistics. In: Proceedings of the 42th Hawaii International Conference on System Sciences (HICSS-42), USA (2009)
7. Baars, H., Gille, D., Strüker, J.: Evaluation of RFID applications for logistics: a framework for identifying,forecastingandassessingbenefits. Eur. J. Inf.Syst. (EJIS)18(6), 578–591 (2009)
8. Baars, H., Kemper, H.G., Lasi, H., Siegel, M.: Combining RFID technology and business intelligence for supply chain optimization—scenarios for retail logistics. In: Proceedings of the 41th Hawaii International Conference on System Sciences (HICSS-41), USA (2008)
9. Bottani, E., Bertolini, M., Montanari, R., Volpi, A.: RFID-enabled business intelligence modules for supply chain optimization. Int. J. Technol.: Res. Appl. 1(4), 253–278 (2009)
10. Brinkmann, A., Effert, S., Heidebuer, M., Vodisek, M., Baars, H.: An integrated architecture for business intelligence support from application down to storage. In: Proceedings of the 3rd International Workshop on Storage Network Architecture and Parallel I/Os, Saint Louis, USA (2005)
11. Bucher, T., Gericke, A.: Process-centric business intelligence. Bus. Process. Manag. J. 15(3), 408–429 (2009)
12. Cattell, R.: Scalable SQL and NoSQL data stores. SIGMOD Rec. 39(4), 12–27 (2010)
13. Cho, D.Y.: Ubiquitous data warehouse—integrating RFID with multidimensional online analysis. In: Proceedings of the San Diego International Systems Conference, San Diego (2005)
14. Chow, H.K.H., Choy, K.L., Lee, W.B., Chan, F.T.S.: Design of a knowledge-based logistics strategy system. Expert Syst. Appl. 29, 272–290 (2005)
15. Curtin, J., Kauffman, R.J., Riggins, F.J.: Making the ‘Most’ out of RFID technology: a research agenda for the study of the adoption, usage and impact of RFID. Inf. Technol. Manag. 8(2), 87–110 (2007)
16. Dayal, U., Hsu, M., Ladin, R.: Business process coordination: state of the art, trends, and open issues. In: Proceedings of the 27th International Conference on Very Large Data Bases (VLDB), Italy (2001)
17. Eckerson, W.E.: Best practices in operational BI—converging analytical and operational processes. In: TDWI best practice report, 3rd quarter 2007 (2007)
18. Ehrlenspiel, K.: Integrierte Produktentwicklung, 3rd edn. Hanser, München (2007)
19. Eigner, M., Stelzer, R.: Product Lifecycle Management, 2nd edn. Springer, Heidelberg (2009)
20. Fleisch, E.: What is the internet of things? An economic perspective. In: Auto-ID Labs white paper (WP-BIZAPP-053), Auto-ID Labs, St. Gallen (2010)
21. Giannakakis, T., Vosniakos, G.C.: Sheet metal cutting and piercing operations planning and tools configuration by an expert system. Int. J. Adv. Manuf. Technol. 36(7–8), 658–670 (2008)
22. Golfarelli, M., Rizzi, S., Cella, I.: Beyond data warehousing: what’s next in business intelligence?In: Proceedings of the 7th ACM International Workshop on Data Warehousing and OLAP, USA (2004)
23. Grigoria, D., Casatib, F., Castellanosb, M., Dayalb, U., Sayalb, M., Shan, S.C.: Business process intelligence. Comput. Ind. 53, 321–343 (2004)
24. GS1: EPCglobal standards (2012). Available via http://www.gs1.org/gsmp/kc/epcglobal. Accessed 25 July 2012
25. Günther, O., Kletti, W., Kurbach, U.: RFID in Manufacturing. Springer, Heidelberg (2008)
26. Jacobs, A.: The pathologies of big data. Commun. ACM 52(8), 36–44 (2009)
27. Kemper, H.G., Baars, H.: From data warehouses to transformation hubs—a conceptual architecture. In: Proceedings of the 17th European Conference on Information Systems (ECIS), Italy (2009)
28. Kemper, H.G., Baars, H., Mehanna, W.: Business Intelligence – Grundlagen und praktische Anwendungen, 3rd edn. Vieweg, Wiesbaden (2010)
29. Kendal, S.: An Introduction to Knowledge Engineering. Springer, London (2007)
30. Klawans, B.: Embedded or conventional BI—determining the right combination of BI for your business. Bus. Intell. J. 13(1), 30–36 (2008)
31. Kletti, J.: Manufacturing Execution System: MES. Springer, Heidelberg (2007)
32. Koch, M., Baars, H., Lasi, H., Kemper, H.G.: Manufacturing execution systems and business intelligence for production environments. In: Proceedings of the 16th Americas Conference on Information Systems, Peru (2010)
33. Lasi, H.: Industrial intelligence—a BI-based approach to enhance manufacturing engineering in industrial companies. In: Proceedings of the 8th CIRP Conference on Intelligent Computation in Manufacturing Engineering (CIRP ICME), Italy (2012)
34. Lasi, H.: Decision support within knowledge-based engineering—a business intelligence-based concept. In: Proceedings of the 18th Americas Conference on Information Systems (AMCIS), USA (2012)
35. Lasi, H., Hollstein, P., Kemper, H.G.: Heterogeneous IT landscapes in innovation processes— an empirical analyses of integration approaches. In: Proceedings of the International Conference Information Systems (IADIS), Portugal (2010)
36. Lyytinnen, K., Yoo, Y.: Issues and challenges in ubiquitous computing. Commun. ACM 45(12), 42–65 (2002)
37. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H.: Big Data: the Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)
38. Marjanovic, O.: The next stage of operational business intelligence: creating new challenges for business process management. In: Proceedings of the 40th Annual Hawaii International Conference on System Sciences. IEEE Comput. Soc., New York (2007)
39. Mell, P., Grance, T.: The NIST definition of cloud computing. National Institute of Standards and Technology, Special Publication 800-145 (2011)
40. Platter, H.: A common database approach for OLTP and OLAP using an in-memory column database. In: Proceedings of the 2009 ACM SIGMOD International Conference on Management of Data, Providence, USA (2009)
41. Plattner, H., Zeier, A.: In-Memory Data Management: An Inflection Point for Enterprise Applications. Springer, Heidelberg (2011)
42. Pourshahid, A., Chen, P., Amyot, D., Weiss, M., Forster, A.J.: Business process monitoring and alignment: an approach based on the user requirements notation and business intelligence tools. In: Proceedings of the 10th Workshop of Requirement Engineering, Canada, pp. 149– 159 (2007)
43. Röhner, S., Breitsprecher, T., Wartzack, S.: Acquisition of design-relevant knowledge within the development of sheet-bulk metal forming. In: Proceedings of the International Conference on Engineering Design (ICED11), Denmark (2011)
44. Song, M., van der Aalst, W.M.P.: Towards comprehensive support for organizational mining. Decis. Support Syst. 46(11), 300–317 (2008)
45. Strauch, C.: NoSQL databases (2011). Available via http://www.christof-strauch.de/nosqldbs. pdf. Accessed 25 July 2012
46. Thomson, W.J.J., van der Walt, J.S.: Business intelligence in the cloud. South African J. Inf. Manag. 12(1), 1–5 (2010)
47. van der Aalst, W.M.P., Weijters, J.M.M.: Process mining: a research agenda. Comput. Ind. 53(3), 231–244 (2004)
48. Weber, P.: Digital Mock-up im Maschinenbau. Shaker, Aachen (2003)
49. Weiser, M.: Ubiquitous computing (1996). Available via: http://sandbox.xerox.com/ubicomp. Accessed 25th July 2012
50. zur Mühlen, M.: Process-driven management information systems—combining data warehouses and workflow technology. In: Proceedings of the 4th International Conference on Electronic Commerce Research (ICECR-4), USA, pp. 550–566 (2001)