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.
Course section 17.4: Subsections and their intended learning outcomes
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.
17.4.1 Process, Technology, and the Processor-Oriented Production Structure
Intended learning outcomes: Disclose the business object “technology and process». Explain the process train (processor-oriented production structure, recipe) and its objects for master data and order data.
17.4.2 Objects for Lot Control
Intended learning outcomes: Describe the objects for lot control in inventory management.
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
.
17.7 Keywords
.
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.
