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

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.



Generative techniques prove to be appropriate for production with many variants, that is, where there may well be millions of possible variants, but where the entire range of variants can be determined from the start, through a combination of possible values of relati­vely few parameters. Although each product variant results in a qualitatively different product, all stem from the same product family (see the definition in Section 1.2.2). The production process for all product variants is principally the same. According to Figure 4.4.5.2, product families with many variants are strongly related to the “make-to-order” production environment. According to Figure 4.5.2.1, mass customization is the main production type.


Course section 7.3: 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.