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

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.



17.8.1 Different Forms of Representing Bills of Material

Figure 17.8.1.1 shows the bill of material for products A and K represented in the form of the familiar arborescent structure.

Fig. 17.8.1.1       Graphical representation of the bill of material of products A and K.

In parentheses, you see the quantity per of a component, if it is not equal to one. For example, product K is assembled from two units of component D, one unit of component 5, and three units of component 1. From the two bills of material above, derive the following forms of representation, according to Section 17.2.3:

  • All single-level bills of material
  • Two multilevel bills of material for final products A and K
  • Two summarized bills of material for final products A and K

17.8.2 Where-Used Lists

On the basis of Figure 17.8.1.1, derive all types of where-used lists following the forms of representation in Section 17.2.3:

  • All single-level where-used lists
  • Multilevel where-used list for component 1
  • Summarized where-used list for component 1
  • Arborescent structure of the multilevel where-used list of component 1 (hint: it looks similar to Figure 17.8.1.1)

How can where-used lists be derived from bills of material?


17.8.3 Basic Master Data Objects

Take products A and B, as they were defined in the exercise in Section 16.7.2 (in other words, with the individual tools). Transfer the given data into the fundamental logistical object classes for the master data, as was shown in Figure 17.2.8.1 or 16.2.1.3, namely:

  • Item
  • Bill-of-material position
  • Work center
  • Operation

To enter all the data, you will need two additional classes that were mentioned in Figure 17.2.8.2, namely:

  • Production equipment (tool, device, machine)
  • Bill of production equipment position

Determine all the necessary attributes and their values for the individual objects (entities) in these six classes.

Hints: The number of objects per class is as follows:
       ·     Item:                                                          3
       ·     Work center:                                             2
       ·     Production equipment:                           6 (2 machines and 4 tools / devices)
       ·     Bill-of-material position:                        2
       ·     Operation:                                                 4
       ·     Bill of production equipment position:   8 (2 products, each with 4 equipments)




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, 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.