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

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.


The various planning & control techniques for process industries were discussed in Chapter 8. This section covers processor-oriented production structures in detail. These can actually be regarded as an extension of the conventional production structure described in Section 1.2.3 and in Section 17.2.8. This extension is very important since it is likely that the processor-oriented production structure will become the most common model in the future. The conventional, convergent production structure, which is thus linked to a (single) product with its bill of material and routing sheet, will then become an important special case. In the future, lot control will become the general administration of on-hand balances. Proofs of origin are an increasingly common requirement in the field of logistics and in assembly-oriented systems.


17.4.1 Process, Technology, and the Processor-Oriented Production Structure

As already mentioned in Section 8.2.1, product design requires a knowledge of the technologies that can be used in manufacturing processes. Such technologies and processes must be defined in a suitable manner. Figure 17.4.1.1 contains a simple structure.

Fig. 17.4.1.1       Technology and process.

A processor-oriented production structure (or a process train) is a combination of objects described in Section 8.2.2, such as process stage, basic manufacturing step, and resource.

Figure 17.4.1.2 contains a data model for the processor-oriented production structure.

Fig. 17.4.1.2       Process train (processor-oriented production structure, recipe): objects for master data and order data.

The processor-oriented production structure defined in this way may be regarded as an extension of the model of a convergent product structure in Figure 17.2.8.2. Interestingly, the processor-oriented production structure also corresponds to the processor-oriented order structure. In this case, a stage corresponds to a partial order. An order position is now always work (an operation) to which the other order positions (resources) are assigned. [note 1707]


17.4.2 Objects for Lot Control

Figure 17.4.2.1 shows the objects used for lot control (see Section 8.2.3).

Fig. 17.4.2.1       Objects for lot control in inventory management.

The objects introduced in Section 17.4.1 must therefore be supplemented with the two objects charge and completed resource transaction. The latter object is still associated with traditional order administration. Transactions are not only used for legal reasons. They also ensure data integrity and are used in statistics concerning inventory transactions.

With this model, the structures of the two objects on-hand balance and order increase in similarity: in fact, the charge may also be regarded as the re-identification of an order ID. Placing a charge in stock simply means placing a production or procurement order in stock, where it remains identifiable as such.



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.

Print Top Down Previous Next