| Apel85 | Appelrath, H.J., “Von Datenbanken zu Expertensystemen,” Informatik Fachberichte 102, Springer, Berlin, 1985 |
| ASCM22 | Pittman, P. et al., ASCM Dictionary, 17th Ed., APICS/ASCM, Chicago, 2022 |
| EiHi91 | Eigner, M., Hiller, C., Schindewolf, S., Schmich, M., “Engineering Database: Strategische Komponente in CIM-Konzepten,” Hanser, München, 1991 |
| Pels92 | Pels, H.J., Wortmann, J.C., “Integration in Production Management Systems,” North-Holland, Amsterdam, 1992 |
| Schi01 | Schierholt, K., “Process Configuration — Mastering Knowledge-Intensive Planning Tasks,” vdf Hochschulverlag, Zurich, 2001 |
| Schö01 | Schönsleben, P., “Integrales Informationsmanagement: Informationssysteme für Geschäftsprozesse — Management, Modellierung, Lebenszyklus und Technologie,” 2. Auflage, Springer Verlag, Berlin, 2001 |
| Schö88a | Schönsleben, P., “Flexibilität in der computergestützten Produktionsplanung und -steuerung,” 2. Auflage, AIT-Verlag, D-Hallbergmoos, 1988 |
| Schw96 | Schwarze, S., “Configuration of Multiple Variant Products,” BWI-Reihe Forschungsberichte für die Unternehmenspraxis, vdf Hochschulverlag, Zürich, 1996 |
| SöLe96 | Schönsleben, P., Leuzinger, R., “Innovative Gestaltung von Versicherungsprodukten: Flexible Industriekonzepte in der Assekuranz,” Gabler, Wiesbaden, 1996 |
| Veen92 | Veen, E.A., “Modelling Product Structures by Generic Bills of Material,” Elsevier Science, Amsterdam, 1992 |
Course 17: Sections and their intended learning outcomes
Course 17 – Representation and System Management of Logistic Objects
Intended learning outcomes: Describe order data in sales, distribution, production, and procurement. Explain in detail master data for products and processes. Disclose extensions arising from the variant-oriented and the processor-oriented concepts. Produce an overview on the management of product and engineering data.
17.1 Order Data in Sales, Distribution, Production, and Procurement
Intended learning outcomes: Present the data structure of customers and suppliers. Describe the general data structure of orders in sales and distribution, production, and procurement. Disclose the data structure of the order and partial order header as well as the order position.
17.2 The Master Data for Products and Processes
Intended learning outcomes: Describe master data of products, components, and operations. Explain the data structure of item master, bill of material, and where-used list. Disclose the data structure of work center master data, the work center hierarchy, as well as for operation, routing sheet, production equipment, bill of production equipment, and bill of tools.
17.3 Extensions Arising from the Variant-Oriented Concept
Intended learning outcomes: Produce an overview on expert systems and knowledge-based systems. Explain the implementation of production rules. Present a data model for parameterized representation of a product family.
17.4 Extensions Arising from the Processor-Oriented Concept
Intended learning outcomes: Explain objects such as process, technology, and the processor-oriented production structure. Describe objects for lot control.
17.5 The Management of Product Data and Product Life Cycle Data
Intended learning outcomes: Produce an overview on product life cycle management and engineering data management (EDM). Explain the engineering database as part of an IT system. Describe the data and functional model for general EDM tasks. Present object classes and functions for release and engineering change control.
17.6 Summary
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17.7 Keywords
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17.8 Scenarios and Exercises
Intended learning outcomes: Elaborate different forms of representing bills of material and where-used lists. Identify basic master data objects.
17.9 References
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