Skip to main content

MRP II: Manufacturing Resource Planning

  • Chapter
  • First Online:
  • 8939 Accesses

Part of the book series: Progress in IS ((PROIS))

Abstract

The outcome of material requirements planning is quantities—primary and secondary requirements assigned to different periods. The main disadvantage of the MRP approach is that it is not certain whether the requirements can be fulfilled, because the manufacturing capacities are not taken into consideration. In order to create a feasible plan, material requirements planning has to be augmented with capacity planning and scheduling. For this purpose, further master data are needed than those discussed in Sect. 2.1. In this chapter, we will first describe the most important data structures and then the planning approach of manufacturing resource planning (MRP II).

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   139.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Aarts EHL, Korst JHM (1989) Simulated annealing and Boltzmann machines—A stochastic Approach to combinatorial optimization and neural computing. Wiley, Chichester, New York

    Google Scholar 

  • Bareiss R (1989) Exemplar-based knowledge acquisition: a unified approach to concept representation, classification, and learning. Academic, San Diego

    Google Scholar 

  • Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MA

    Google Scholar 

  • Graupe D (2007) Principles of artificial neural networks, 2nd edn. World Scientific Publishing, Singapore

    Google Scholar 

  • Kernler H (2000) PPS der 3. Generation – Grundlagen, Methoden, Anregungen, 3. Auflage; Heidelberg: Hüthig

    Google Scholar 

  • Kirkpatrick S, Gellat SD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(5):671–680

    Article  Google Scholar 

  • Kurbel K, Ruppel A (1996) Integrating intelligent job-scheduling into a real-world production-scheduling system. J Intelligent Manufactur 7:373–377

    Article  Google Scholar 

  • Kurbel K (1998) A computational study of the effects of parameters on the performance of intelligent algorithms. In: Cantu FJ et al (eds) Application of advanced information technologies – Fourth World Congress on Expert Systems, Mexico City 1998, vol 1. Cognizant Communication, New York, pp 407–414

    Google Scholar 

  • Mertens P (2009) Integrierte Informationsverarbeitung 1 – Operative Systeme in der Industrie, 17th edn. Gabler, Wiesbaden

    Book  Google Scholar 

  • Riesbeck CK, Schank RC (1989) Inside case-based reasoning. Erlbaum, Hillsdale, NJ

    Google Scholar 

  • Singh K (1997) New trends in cell placement techniques as part of IC layout design methodologies. Ph.D. Thesis, Devi Ahilya University Indore, India, January 1997

    Google Scholar 

  • Wiendahl H-P (1995) Load-oriented manufacturing control. Springer, Berlin

    Book  Google Scholar 

  • Wight OW (1984) Manufacturing resource planning: MRP II – unlocking America’s productivity potential, Revised Edition. Wiley, New York

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Kurbel, K.E. (2013). MRP II: Manufacturing Resource Planning. In: Enterprise Resource Planning and Supply Chain Management. Progress in IS. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31573-2_3

Download citation

Publish with us

Policies and ethics