Intended learning outcomes: Apply adaptive techniques for product families. Disclose the use of production rules in order processing. Elaborate the setting the parameters of a product family.
Course section 7.8: Subsections and their intended learning outcomes
7.8.1 Exercise: Adaptive Techniques for Product Families
Intended learning outcomes: Disclose a better understanding of the adaptive technique, by calculating the number of variants in the master production schedule.
7.8.2 Exercise: Generative Techniques — the Use of Production Rules in Order Processing
Intended learning outcomes: Disclose a better understanding of the generative technique, selecting the positions/variants of an order by evaluating production rules.
7.8.3 Exercise: Generative Techniques — Setting the Parameters of a Product Family
Intended learning outcomes: Explain how to determine possible parameters of a product family by examining five product variants of this family.
7.8 Scenarios and Exercises
Intended learning outcomes: Apply adaptive techniques for product families. Disclose the use of production rules in order processing. Elaborate the setting the parameters of a product family.
Course 7: Sections and their intended learning outcomes
Course 7 – The Concept for Product Families and One-of-a-Kind Production
Intended learning outcomes: Produce logistics characteristics of a product variety concept. Explain adaptive and generative techniques in detail. Describe the use of generative and adaptive techniques for engineer-to-order. Differentiate various ways of cooperation between R&D and Engineering in ETO Companies.
7.1 Logistics Characteristics of a Product Variety Concept
Intended learning outcomes: Differentiate between high-variety and low-variety manufacturing. Describe different variant-oriented techniques, and the final assembly schedule.
7.2 Adaptive Techniques
Intended learning outcomes: Explain techniques for standard products with few variants as well as techniques for product families.
7.3 Generative Techniques
Intended learning outcomes: Disclose the combinatorial aspect and the problem of redundant data. Present variants in bills of material and routing sheets as production rules of a knowledge-based system. Explain the use of production rules in order processing.
7.4 Generative and Adaptive Techniques for Engineer-to-Order (ETO)
Intended learning outcomes: Differentiate between the classical procedure and different archetypes of engineer-to-order. Describe the approach for basic and for repeatable engineer-to-order.
7.5 Cooperation between R&D and Engineering in ETO Companies
Intended learning outcomes: Describe different means used for cooperation between the R&D and the order-specific engineering departments. Present the portfolio of cooperation types between R&D and engineering in ETO companies.
7.6 Summary
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7.7 Keywords
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7.8 Scenarios and Exercises
Intended learning outcomes: Apply adaptive techniques for product families. Disclose the use of production rules in order processing. Elaborate the setting the parameters of a product family.
