Integral Logistics Management — Operations Management and Supply Chain Management Within and Across Companies

20.6 References

Abri74 Abrial, J.R., “Data Semantics,” in Klimbie, J. and Koffeman, K., Eds., “Data Base Management,” North-Holland Pub. Co., Amsterdam, 1974, pp. 1-60
ASCM22Pittman, P. et al., ASCM Dictionary, 17th Ed., APICS/ASCM, Chicago, 2022
Chen76 Chen, P., “The Entity-Relationship Model —Toward a Unified View of Data,” ACM Transactions on DB-Systems, 1, 1976
Espr93 Esprit Consortium AMICE (Eds.), “CIMOSA, Open Systems Architecture for CIM,” 2nd Edition, Springer Verlag, Berlin, 1993
MeWe18 Merriam-Webster, “Merriam Webster’s Collegiate Thesaurus,” 2nd Revised Edition, Merriam-Webster, Inc., Springfield, MA, 2018
Norm13 Norman, D., “The Design of Everyday Things,” Revised and Expanded Edition, 2013, Basic Books, New York
Sche00 Scheer, A.-W., “ARIS - Business Process Modeling,” 3rd Edition, Springer Verlag, Berlin, 2000
Sche98a Scheer, A.-W., “Business Process Engineering: Reference Models for Industrial Enterprises,” Springer, Berlin, 1998
Sche98c Scheer, A.-W., “Benchmarking Business Processes,” in Okino, N., Tamura, H., Fujii, S., Eds., “Advances in Production Management Systems,” Chapman & Hall, London, 1998, pp. 133–136
Schö01 Schönsleben, P., “Integrales Informations­management: Informations­systeme für Geschäfts­prozesse — Management, Modellierung, Lebenszyklus und Technologie,” 2nd Edition, Springer Verlag, Berlin, 2001
Spec05 Specker, A., “Modellierung von Informationssystemen: Ein methodischer Leit­­faden zur Projektabwicklung,” 2nd Edition, vdf Hochschulverlag, Zurich, 2005
UML13 OMG Object Management Group, “Unified Modeling Language Specifica­tion,” Revised Version 2.5,, created 05.09.2013, accessed August 2019

Course 20: Sections and their intended learning outcomes

  • Course 20 – Selected Sections of Information Management

    Intended learning outcomes: Produce a review of important terms in information management. Disclose the modeling of operational information systems. Explain in detail the modeling of information systems in the data view and object view.

  • 20.1 Important Terms in Information Management

    Intended learning outcomes: Produce definitions for terms from colloquial language that are easily understood by employees, such as for information, data, information technology, information system, database.

  • 20.2 Modeling Enterprise Information Systems

    Intended learning outcomes: Present basic principles of modeling. Differentiate various dimensions in the modeling of information systems for business processes. Describe the dimension of hierarchy creation and the dimension of various views in modeling.

  • 20.3 Modeling Information Systems in the Data View and Object View

    Intended learning outcomes: Present terms such as object, attribute, object class, view, primary and secondary keys. Explain basic concepts such as association, association role and type. Describe the breaking up of an n-to-n association – in particular a reflexive one – and the association class. Disclose the use of the hierarchical constructs for developing a company-wide generic object model.