Strategic mine planning model using network flow model and real case application

E. Topal, S. Ramazan

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Strategic mine planning is one of the key factors in the successful survival of large scale mining companies in the long term, and deals with billions of dollars in magnitude. It provides answers in regards to how much capital should be invested, in what resources and when, and finally what type of production strategies should be followed in terms of capacity and product specifications. Existing tools fail to provide optimum solutions to these problems, mainly due to their large scale nature and inherent technical complexities. This article presents a network linear programming (LP) model to efficiently optimise strategic planning and production scheduling by maximising net present value (NPV). The model is applied to optimise the strategic schedule over a 50-year life span for a large mining district in Western Australia which contains many mines with more than 100 pits and 13 plants.

Original languageEnglish
Pages (from-to)29-37
Number of pages9
JournalInternational Journal of Mining, Reclamation and Environment
Volume26
Issue number1
DOIs
Publication statusPublished - Mar 2012
Externally publishedYes

Fingerprint

Planning
Strategic planning
linear programing
Linear programming
Scheduling
Specifications
resource
Industry
Network flow
planning
Schedule
Resources
Life span
Western Australia
Production/scheduling
Nature
Net present value
Factors
Production strategy
Product specification

Keywords

  • large size optimisation
  • network LP
  • production scheduling
  • strategic mine planning

ASJC Scopus subject areas

  • Management of Technology and Innovation
  • Earth-Surface Processes
  • Geology
  • Geotechnical Engineering and Engineering Geology

Cite this

Strategic mine planning model using network flow model and real case application. / Topal, E.; Ramazan, S.

In: International Journal of Mining, Reclamation and Environment, Vol. 26, No. 1, 03.2012, p. 29-37.

Research output: Contribution to journalArticle

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