Dynamic short term production scheduling and machine allocation in underground mining using mathematical programming

M. Nehring, E. Topal, P. Knights

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Maximising value is the main objective when developing long term mine production schedules. These results provide input for the development of a short term schedule that aims to meet process plant feed requirements so as to produce a quality saleable product. This paper reviews previous work on optimised short- and long term production scheduling and real time fleet management systems. A new dynamic mathematical model using mixed integer programming is proposed to optimise short term production scheduling and machine allocation for application in sublevel stoping operations. The objective of the model is to minimise deviation from targeted metal production. The dynamic nature of the model not only optimises the shift based schedule but also allows rapid equipment reassignment to take place as underground operating conditions change. Optimal results are generated in less than 1 min when trialled on a conceptual sublevel stoping dataset.

Original languageEnglish
Pages (from-to)212-220
Number of pages9
JournalTransactions of the Institution of Mining and Metallurgy, Section A: Mining Technology
Volume119
Issue number4
DOIs
Publication statusPublished - 2010
Externally publishedYes

Fingerprint

Mathematical programming
stoping
Scheduling
Stoping
Integer programming
metal
Mathematical models
allocation
Metals

Keywords

  • Machine allocation
  • Mixed integer programming
  • Short term production scheduling
  • Underground mine optimisation

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Geology

Cite this

@article{8224eb9a00cd4b159cdb7fa0be0a4ba7,
title = "Dynamic short term production scheduling and machine allocation in underground mining using mathematical programming",
abstract = "Maximising value is the main objective when developing long term mine production schedules. These results provide input for the development of a short term schedule that aims to meet process plant feed requirements so as to produce a quality saleable product. This paper reviews previous work on optimised short- and long term production scheduling and real time fleet management systems. A new dynamic mathematical model using mixed integer programming is proposed to optimise short term production scheduling and machine allocation for application in sublevel stoping operations. The objective of the model is to minimise deviation from targeted metal production. The dynamic nature of the model not only optimises the shift based schedule but also allows rapid equipment reassignment to take place as underground operating conditions change. Optimal results are generated in less than 1 min when trialled on a conceptual sublevel stoping dataset.",
keywords = "Machine allocation, Mixed integer programming, Short term production scheduling, Underground mine optimisation",
author = "M. Nehring and E. Topal and P. Knights",
year = "2010",
doi = "10.1179/1743286310Y.0000000001",
language = "English",
volume = "119",
pages = "212--220",
journal = "Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology",
issn = "1474-9009",
publisher = "Maney Publishing",
number = "4",

}

TY - JOUR

T1 - Dynamic short term production scheduling and machine allocation in underground mining using mathematical programming

AU - Nehring, M.

AU - Topal, E.

AU - Knights, P.

PY - 2010

Y1 - 2010

N2 - Maximising value is the main objective when developing long term mine production schedules. These results provide input for the development of a short term schedule that aims to meet process plant feed requirements so as to produce a quality saleable product. This paper reviews previous work on optimised short- and long term production scheduling and real time fleet management systems. A new dynamic mathematical model using mixed integer programming is proposed to optimise short term production scheduling and machine allocation for application in sublevel stoping operations. The objective of the model is to minimise deviation from targeted metal production. The dynamic nature of the model not only optimises the shift based schedule but also allows rapid equipment reassignment to take place as underground operating conditions change. Optimal results are generated in less than 1 min when trialled on a conceptual sublevel stoping dataset.

AB - Maximising value is the main objective when developing long term mine production schedules. These results provide input for the development of a short term schedule that aims to meet process plant feed requirements so as to produce a quality saleable product. This paper reviews previous work on optimised short- and long term production scheduling and real time fleet management systems. A new dynamic mathematical model using mixed integer programming is proposed to optimise short term production scheduling and machine allocation for application in sublevel stoping operations. The objective of the model is to minimise deviation from targeted metal production. The dynamic nature of the model not only optimises the shift based schedule but also allows rapid equipment reassignment to take place as underground operating conditions change. Optimal results are generated in less than 1 min when trialled on a conceptual sublevel stoping dataset.

KW - Machine allocation

KW - Mixed integer programming

KW - Short term production scheduling

KW - Underground mine optimisation

UR - http://www.scopus.com/inward/record.url?scp=78650795567&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650795567&partnerID=8YFLogxK

U2 - 10.1179/1743286310Y.0000000001

DO - 10.1179/1743286310Y.0000000001

M3 - Article

VL - 119

SP - 212

EP - 220

JO - Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology

JF - Transactions of the Institutions of Mining and Metallurgy, Section A: Mining Technology

SN - 1474-9009

IS - 4

ER -