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

7.2 Adaptive Techniques

Intended learning outcomes: Explain techniques for standard products with few variants as well as techniques for product families.

Course section 7.2: Subsections and their intended learning outcomes

  • 7.2.2 Techniques for Product Families

    Intended learning outcomes: Present the super bill of material with option percentages x1, x2,…, xn. Describe the production plan and its corresponding MPS at the assembly level, using the example of a product family P with a number of variants in the order of the total demand quantity for the product family.

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.