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

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 section 7.8: Subsections and their intended learning outcomes

Course 7: Sections and their intended learning outcomes

  • 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.