Mine schedule optimization and mine operational realities: Bridging the gap

A. Chowdu, M. Goycoolea, A. Brickey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Advancement in solution algorithms and computing power continues to drive the adoption of optimization techniques within the underground mining sec-tor. However, limitations in the available data and the choices made during the model setup can create a gap between optimal solutions and operational reality. This paper presents a mining practitioner’s guide on effectively utilizing Multi-time Period Knap-sack Constraints (MPKC) in scheduling underground mine production, which can close part of that gap. Models with MPKC implemented at different time fidelities, i.e., weekly, monthly and annual, are compared by evaluating solution quality and solver performance. We provide recommendations that can assist in developing both optimal and operation-ally representative schedules.

Original languageEnglish
Title of host publicationMining Goes Digital - Proceedings of the 39th international symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019
EditorsChristoph Mueller, Winfred Assibey-Bonsu, Ernest Baafi, Christoph Dauber, Chris Doran, Marek Jerzy Jaszczuk, Oleg Nagovitsyn
PublisherCRC Press/Balkema
Pages412-418
Number of pages7
ISBN (Print)9780367336042
DOIs
StatePublished - 2019
Event39th International symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019 - Wrocław, Poland
Duration: 4 Jun 20196 Jun 2019

Publication series

NameMining Goes Digital - Proceedings of the 39th international symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019

Conference

Conference39th International symposium on Application of Computers and Operations Research in the Mineral Industry, APCOM 2019
Country/TerritoryPoland
CityWrocław
Period4/06/196/06/19

Keywords

  • Optimization
  • Production scheduling
  • Underground mining

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