Skip to main content

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 151))

  • 3629 Accesses

Abstract

Production planning has been an integral part of industry since the beginnings of craft production. Basic quantitative research in this area is at least 50 years old (Modigliani and Hohn 1955). However, it is widely recognized that there are significant gaps between the research problems addressed, the state of industrial practice, and the needs of the industrial community. It is our experience that production planning is viewed as a narrow function at the interface of production and sales, and the basic modeling and solution approaches associated with this view have remained largely unchanged for several decades.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

Institutional subscriptions

References

  1. Bahl HC, Ritzman LP, Gupta JND (1987) Determining lot sizes and resource requirements: a review. Oper Res 35:329–345

    Article  Google Scholar 

  2. Birge JR, Louveaux F (1997) Introduction to stochastic programming. Springer, New York,NY

    Google Scholar 

  3. Chandler AD (1980) The visible hand: the managerial revolution in American Business. Belknap Press, Cambridge,MA

    Google Scholar 

  4. Elmaghraby SE (1978) The Economic Lot Scheduling Problem (ELSP): review and extensions. Manag Sci 24:587–598

    Article  Google Scholar 

  5. Eppen G, Martin RK (1988) Determining safety stock in the presence of stochastic lead times. Manag Sci 34:1380–1390

    Article  Google Scholar 

  6. Goldratt E, Fox RE (1986) The race.. North River Press, New York,NY

    Google Scholar 

  7. Graves SC, Kletter DB, Hetzel WB (1998) Dynamic model for requirements planning with application to supply chain optimization. Oper Res 46(3):35–49

    Article  Google Scholar 

  8. Hackman ST, Leachman RC (1989) A general framework for modeling production. Manag Sci 35:478–495

    Article  Google Scholar 

  9. Hadley G, Whitin TM (1963) Analysis of inventory systems. Prentice-Hall, Englewood Cliffs,NJ

    Google Scholar 

  10. Harris FW (1915) Operations and cost. Factory management series. A. W. Shaw Co, Chicago,IL

    Google Scholar 

  11. Hax AC, Candea D (1984) Production and inventory management. Prentice-Hall, Englewood Cliffs,NJ

    Google Scholar 

  12. Heath DC, Jackson PL (1994) Modeling the evolution of demand forecasts with application to safety stock analysis in production/distribution systems. IIE Trans 26(3):17–30

    Article  Google Scholar 

  13. Hopp WJ, Spearman ML (2001) Factory physics: foundations of manufacturing management. Irwin/McGraw-Hill, Boston,MA

    Google Scholar 

  14. Johnson LA, Montgomery DC (1974) Operations research in production planning, scheduling and inventory control. Wiley, New York,NY

    Google Scholar 

  15. Kaminsky P, Swaminathan JM (2001) Utilizing forecast band refinement for capacitated production planning. Manuf Serv Oper Manag 3(1):68–81

    Article  Google Scholar 

  16. Kanigel R (1997) The one best way. Viking, New York,NY

    Google Scholar 

  17. Kimms A (1997) Multi-level lot sizing and scheduling. Springer, Berlin

    Book  Google Scholar 

  18. Liker J (2004) The Toyota way: 14 management principles from the world’s greatest manufacturer. McGraw-Hill, New York,NY

    Google Scholar 

  19. Liu L, Liu X, Yao DD (2004) Analysis and optimization of multi-stage inventory queues. Manag Sci 50:365–380

    Article  Google Scholar 

  20. Modigliani F, Hohn FE (1955) Production planning over time and the nature of the expectation and planning horizon. Econometrica 23(1):46–66

    Article  Google Scholar 

  21. Orlicky J (1975) Material requirements planning: the new way of life in production and inventory management. McGraw-Hill, New York,NY

    Google Scholar 

  22. Pande P, Neuman RP, Cavanagh RR (2000) The Six Sigma way: how GE, Motorola and other top companies are honing their performance. McGraw-Hill, New York,NY

    Google Scholar 

  23. Simon HA, Holt CC (1954) The control of inventories and production rates– a survey. Oper Res 2(3):289–301

    Google Scholar 

  24. Vollmann TE, Berry WL, Whybark DC, Jacobs FR (2005) Manufacturing planning and control for supply chain management. McGraw-Hill, New York,NY

    Google Scholar 

  25. Voss S, Woodruff DL (2003) Introduction to computational optimization models for production planning in a supply chain. Springer, Berlin; New York,NY

    Chapter  Google Scholar 

  26. Zipkin PH (1986) Models for design and control of stochastic, multi-item batch production systems. Oper Res 34(1):91–104

    Article  Google Scholar 

  27. Zipkin PH (1997) Foundations of inventory management. Irwin, Burr Ridge,IL

    Google Scholar 

  28. Zweben M, Fox M (eds) (1994). Intelligent scheduling systems. Morgan Kaufman, San Francisco,CA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karl G. Kempf .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Kempf, K.G., Keskinocak, P., Uzsoy, R. (2011). Preface. In: Kempf, K., Keskinocak, P., Uzsoy, R. (eds) Planning Production and Inventories in the Extended Enterprise. International Series in Operations Research & Management Science, vol 151. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6485-4_1

Download citation

Publish with us

Policies and ethics