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

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.


In Figure 17.0.0.1, the dark shaded box contains the logistical objects associated with the tasks and processes of the reference model for business processes and planning & control tasks in Figure 5.1.4.2.

Fig. 17.0.0.1       The subject covered in this chapter is shown against a darker background.

This chapter describes in detail the business objects introduced in Sections 1.2 (order and master data), 11.1 (inventory), and 11.2 (statistics). The discussion is also structured from the viewpoint of an information system with a view to IT support. In addition, the chapter covers tasks that can be summarized as obtaining information from an information system using suitable queries.



Course 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, product structure, 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.

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