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.
The term master data comprises the data of all the order-independent business objects discussed in Section 1.2 (see Section 5.1.4).
This section first introduces the master data for the conventional MRP II concept, which is intended for products with convergent product structures. Section 17.4 discusses the extensions arising from the processor-oriented concept (divergent product structures). The extensions arising from the variant-oriented concept are described in Section 17.5.
Course section 17.2: Subsections and their intended learning outcomes
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.
17.2.1 Product, Product Structure, Components, and Operations
Intended learning outcomes: Present the concept of master data. Explain the production order as a collection of master data. Describe a simple product structure.
17.2.1b The Intermediate Part
Intended learning outcomes: Identify the intermediate part used simultaneously as a component in higher-level products.
17.2.2 Item Master Data
Intended learning outcomes: Present the concept of the item master record. Describe the attributes of the technical information and the stockkeeping information of the item master record. Identify attributes of the item master record for information on costs and prices.
17.2.3a Bill of Material, Bill-of-Material Position, and Where-Used List
Intended learning outcomes: Present the concepts of the bill of material, of the bill-of-material position, and the where-used list.
17.2.3b Single-Level Bill of Material, Multilevel Bill of Material, and Summarized Bill of Material
Intended learning outcomes: Differentiate between the single-level bill of material, the multilevel bill of material, and the summarized bill of material.
17.2.3c Single-Level Where-Used List, Multilevel Where-Used List, and Summarized Where-Used List
Intended learning outcomes: Differentiate between the single-level where-used list, the multilevel where-used list, and the summarized where-used list.
17.2.3d The Bill-of-Material Position and the Where-Used-List Position as a Logistical Object
Describe the bill-of-material position and the where-used-list position as logistical objects. Identify its most important attributes.
17.2.4 Work Center Master Data
Intended learning outcomes: Present the work-center business object. Describe the attributes of the work-center master record relating to capacity, concerning costs, and for calculating the lead time.
17.2.5 The Work Center Hierarchy
Intended learning outcomes: Present the concepts of workstation and cost center. Explain the work center hierarchy.
17.2.6 Operation and Routing Sheet
Intended learning outcomes: Present the operation business object in association with the routing sheet. Describe its attributes. Identify the work center where-used list.
17.2.7 Production Equipment, Bill of Production Equipment, and Bill of Tools
Intended learning outcomes: Present the concepts of bill of production equipment and bill-of-production-equipment position as well as production equipment where-used list. Produce an overview on collective tool, bill of tools, bill-of-tools position, and tool where-used list.
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.
