Skip to main content

Production Inventory Models for a Multi-product Batch Production System

  • Conference paper
  • First Online:
Rapid Modelling and Quick Response

Abstract

This paper presents an analytical model for capacitated batch production systems with the objective of investigating the effect of system utilization, production batch size, and production lead time on performance measures such as backorders and on-hand inventory levels. First, an exact analysis of a single product system and two product system is presented using the Markov chain approach. To overcome the computation complexity resulting from the explosion of state space, an alternative approach based on decomposition is proposed to analyze multi-product systems with more than two products. Numerical results indicate that the decomposition approach provides fairly accurate estimates of the performance measures. The analytical model also provides some useful insights on the effect of the production batch size and utilization on system performance.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Benjaafar, S., Kim, J.S., Vishwanadham, N.: On the Effect of Product Variety in Production Inventory Systems. Annals of Operations Research 126, 71–101 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  • Buzacott, J., Shanthikumar, J.: Stochastic Models of Manufacturing Systems. Prentice-Hall, Englewood Cliffs (1993)

    MATH  Google Scholar 

  • George, Tsikis I (2003) George and isidoros tsikis, 2003, “unified modelling framework of multistage production-inventory control policies with lot sizing and advance demand information. In: Shanthikumar J, Yao D, Zijm We (eds) Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chain, Chapter (11), Kluwer Academic Publishers, pp 271–297

    Google Scholar 

  • Hopp W, Spearman M (2000) Factory Physics: Foundations of Factory Management. Irwin/McGraw Hill

    Google Scholar 

  • Nahmias, S.: Production and Operations Analysis, 4th edn. McGraw Hill Irwin, Chicago, IL (1993)

    Google Scholar 

  • Thoneman, U., Bradley, J.: The Effect of Product Variety on Supply Chain Performance. European Journal of Operations Research 143(3), 548–569 (2002)

    Article  Google Scholar 

  • Zipkin, P.: Performance Analysis of Multi-item Production Inventory System under Alternative Policies. Management Science 41, 690–703 (1995)

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ananth Krishnamurthy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag London Limited

About this paper

Cite this paper

Krishnamurthy, A., Seethapathy, D. (2011). Production Inventory Models for a Multi-product Batch Production System. In: Reiner, G. (eds) Rapid Modelling and Quick Response. Springer, London. https://doi.org/10.1007/978-1-84996-525-5_4

Download citation

  • DOI: https://doi.org/10.1007/978-1-84996-525-5_4

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-524-8

  • Online ISBN: 978-1-84996-525-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics