Skip to main content
Log in

Supply Chain Optimisation in the Paper Industry

  • Published:
Annals of Operations Research Aims and scope Submit manuscript

Abstract

We describe the formulation and development of a supply-chain optimisation model for Fletcher Challenge Paper Australasia (FCPA). This model, known as Paper Industry Value Optimisation Tool (PIVOT), is a large mixed integer program that finds an optimal allocation of supplier to mill, product to paper machine, and paper machine to customer, while at the same time modelling many of the supply chain details and nuances which are peculiar to FCPA. PIVOT has assisted FCPA in solving a number of strategic and tactical decision problems, and provided significant economic benefits for the company.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. I.S. Ferguson and R.E. Johnston, Fibre supply models for the Australian and New Zealand paper industry, Appita J. 52(3) (1999).

  2. P.J. Filmer, Operations research! To use or not to use?, Appita J. 32(3) (1978).

  3. Fletcher Challenge Paper Annual Review (1999).

  4. http://www.modeling.com.

  5. http://www.cplex.com.

  6. http://www.ilog.com.

  7. A.B. Philpott and G.R. Everett, Supply chain optimisation in the paper industry, in: Proceedings 34 th ORSNZ Conference, Hamilton, New Zeland (December 1999).

  8. B.G. Raghavendra and A. Arivalagan, Applications of operations research techniques in paper industry: A review of the state of the art, IPPTA 5(3) (1993).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Philpott, A., Everett, G. Supply Chain Optimisation in the Paper Industry. Annals of Operations Research 108, 225–237 (2001). https://doi.org/10.1023/A:1016071331034

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1016071331034

Navigation