|APIC16||Pittman, P. et al., APICS Dictionary, 15th Edition, APICS, Chicago, IL, 2016|
|Schi01||Schierholt, K., “Process Configuration — Mastering Knowledge-Intensive Planning Tasks,” vdf Hochschul-verlag, Zurich, 2001|
|Schö88a||Schönsleben, P., “Flexibilität in der computergestützten Produktionsplanung und -steuerung,” 2nd Edition, AIT-Verlag, D-Hallbergmoos, 1988|
|Schö88b||Schönsleben, P., “Expertensysteme als Hilfsmittel der variantenreichen Produktkonfiguration,” in Informatik, Forschung und Entwicklung, Springer, Berlin, 1988|
|Schö12||Schönsleben, P., “Methods and tools that support a fast and efficient design-to-order process for parameterized product families,” Annals of the CIRP, 61/1:179-182, 2012|
|Schw96||Schwarze, S., “Configuration of Multiple Variant Products,” BWI-Reihe Forschungsberichte für die Unternehmenspraxis, vdf Hochschulverlag, Zurich, 1996|
|SöLe96||Schönsleben, P., Leuzinger, R., “Innovative Gestaltung von Versicherungsprodukten: Flexible Industriekonzepte in der Assekuranz,” Gabler, Wiesbaden, 1996|
|WiPo15||Willner, O., Powell, D., Gerschberger, M., Schönsleben, P., “Exploring the Archetypes of Engineer-to-Order: An Empirical Analysis,” International Journal of Operations and Production Management, DOI - 10.1108/IJOPM-07-2014-0339, 2015|
Course sections and their intended learning outcomes
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.
Intended learning outcomes: Differentiate between high-variety and low-variety manufacturing. Describe different variant-oriented techniques, and the final assembly schedule.
Intended learning outcomes: Explain techniques for standard products with few variants as well as techniques for product families.
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.
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.
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.
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.