MRP II: Manufacturing Resource Planning

  • Karl E. Kurbel
Chapter
Part of the Progress in IS book series (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).

Keywords

Customer Order Capacity Requirement Operating Facility Manufacture Execution System Master Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Aarts EHL, Korst JHM (1989) Simulated annealing and Boltzmann machines—A stochastic Approach to combinatorial optimization and neural computing. Wiley, Chichester, New YorkGoogle Scholar
  2. Bareiss R (1989) Exemplar-based knowledge acquisition: a unified approach to concept representation, classification, and learning. Academic, San DiegoGoogle Scholar
  3. Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley, Reading, MAGoogle Scholar
  4. Graupe D (2007) Principles of artificial neural networks, 2nd edn. World Scientific Publishing, SingaporeGoogle Scholar
  5. Kernler H (2000) PPS der 3. Generation – Grundlagen, Methoden, Anregungen, 3. Auflage; Heidelberg: HüthigGoogle Scholar
  6. Kirkpatrick S, Gellat SD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(5):671–680CrossRefGoogle Scholar
  7. Kurbel K, Ruppel A (1996) Integrating intelligent job-scheduling into a real-world production-scheduling system. J Intelligent Manufactur 7:373–377CrossRefGoogle Scholar
  8. 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 407–414Google Scholar
  9. Mertens P (2009) Integrierte Informationsverarbeitung 1 – Operative Systeme in der Industrie, 17th edn. Gabler, WiesbadenCrossRefGoogle Scholar
  10. Riesbeck CK, Schank RC (1989) Inside case-based reasoning. Erlbaum, Hillsdale, NJGoogle Scholar
  11. 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 1997Google Scholar
  12. Wiendahl H-P (1995) Load-oriented manufacturing control. Springer, BerlinCrossRefGoogle Scholar
  13. Wight OW (1984) Manufacturing resource planning: MRP II – unlocking America’s productivity potential, Revised Edition. Wiley, New YorkGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Karl E. Kurbel
    • 1
  1. 1.Faculty of Business Administration and EconomicsEuropean University ViadrinaFrankfurt (Oder)Germany

Personalised recommendations