Skip to main content

Production Planning and Inventory Control in Automotive Supply Chain Networks

  • Conference paper
Modern Advances in Applied Intelligence (IEA/AIE 2014)

Abstract

This paper addresses a non-linear optimization model by integrating production planning and inventory control in the automotive industry at the strategic and operational level. In order to provide an effective modeling, we developed a framework to integrate manufacturing system and suppliers within an automotive supply chain network. The numerical experiments demonstrate the efficiency of the proposed model on minimization of total delivery cost and due date delivery.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Monden, Y.: Toyota production system: an integrated approach to just-in-time, 4th edn. CRC Press (1998)

    Google Scholar 

  2. Pyke, D.F., Cohen, M.A.: Push and pull in manufacturing and distribution systems. Journal of Operations Management 9(1), 24–43 (1990)

    Article  Google Scholar 

  3. Hopp, W.J., Spearman, M.L.: To pull or not to pull: what is the question? Manufacturing & Service Operations Management 6(2), 133–148 (2004)

    Article  Google Scholar 

  4. Orlicky, J.A.: Material requirements planning: the new way of life in production and inventory management. McGraw-Hill, Inc. (1974)

    Google Scholar 

  5. Hirakawa, Y., Hoshino, K., Katayama, H.: A hybrid push/pull production control system for multi-stage manufacturing processes. In: Achieving Competitive Edge Getting Ahead Through Technology and People, pp. 341–346. Springer London (1991)

    Google Scholar 

  6. Takahashi, K., Soshiroda, M.: Comparing integration strategies in production ordering systems. International Journal of Production Economics 44(1), 83–89 (1996)

    Article  Google Scholar 

  7. Cochran, J.K., Kaylani, H.A.: Optimal design of a hybrid push/pull serial manufacturing system with multiple part types. International Journal of Production Research 46(4), 949–965 (2008)

    Article  MATH  Google Scholar 

  8. Salum, L., Araz, Ö.U.: Using the when/where rules in dual resource constrained systems for a hybrid push-pull control. International Journal of Production Research 47(6), 1661–1677 (2009)

    Article  Google Scholar 

  9. Hodgson, T.J., Wang, D.: Optimal hybrid push/pull control strategies for a parallel multistage system: Part I. The International Journal of Production Research 29(6), 1279–1287 (1991)

    Article  Google Scholar 

  10. Perdaen, D., Armbruster, D., Kempf, K.G., Lefeber, E.: Controlling a Re-entrant Manufacturing Line via the Push–Pull Point. In: Decision Policies for Production Networks, pp. 103–117. Springer London (2012)

    Google Scholar 

  11. Boukerche, A., Dash, T., Pinotti, C.M.: Performance analysis of a novel hybrid push–pull algorithm with QoS adaptations in wireless networks. Performance Evaluation 60(1), 201–221 (2005)

    Article  Google Scholar 

  12. Mahdavi Mazdeh, M., Rostami, M., Namaki, M.H.: Minimizing maximum tardiness and delivery costs in a batched delivery system. Computers & Industrial Engineering 66(4), 675–682 (2013)

    Article  Google Scholar 

  13. Vandaele, N.J., Lambrecht, M.R.: Reflections on the use of stochastic manufacturing models for planning decisions. In: Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains, pp. 53–85. Springer US (2003)

    Google Scholar 

  14. Lambrecht, M.R., Ivens, P.L., Vandaele, N.J.: ACLIPS: A capacity and lead time integrated procedure for scheduling. Management Science 44(11-Part-1), 1548–1561 (1998)

    Article  MATH  Google Scholar 

  15. Choi, J.W.: Investment in the reduction of uncertainties in just-in-time purchasing systems. Naval Research Logistics (NRL) 41(2), 257–272 (1994)

    Article  MATH  Google Scholar 

  16. Barnes-Schuster, D., Bassok, Y., Anupindi, R.: Optimizing delivery lead time/inventory placement in a two-stage production/distribution system. European Journal of Operational Research 174(3), 1664–1684 (2006)

    Article  MATH  Google Scholar 

  17. Mohebbi, E., Hao, D.: When supplier’s availability affects the replenishment lead time—An extension of the supply-interruption problem. European Journal of Operational Research 175(2), 992–1008 (2006)

    Article  MATH  Google Scholar 

  18. Mohebbi, E.: Supply interruptions in a lost-sales inventory system with random lead time. Computers & Operations Research 30(3), 411–426 (2003)

    Article  MATH  Google Scholar 

  19. Van Nieuwenhuyse, I., Vandaele, N.: The impact of delivery lot splitting on delivery reliability in a two-stage supply chain. International Journal of Production Economics 104(2), 694–708 (2006)

    Article  Google Scholar 

  20. Ayers, J.B. (ed.): Handbook of supply chain management. CRC Press (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Memari, A., Rahim, A.R.B.A., Ahmad, R.B. (2014). Production Planning and Inventory Control in Automotive Supply Chain Networks. In: Ali, M., Pan, JS., Chen, SM., Horng, MF. (eds) Modern Advances in Applied Intelligence. IEA/AIE 2014. Lecture Notes in Computer Science(), vol 8481. Springer, Cham. https://doi.org/10.1007/978-3-319-07455-9_45

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07455-9_45

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07454-2

  • Online ISBN: 978-3-319-07455-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics