ME home
 
  SME FaceBook SME Twitter SME LinkedIn RSS Feed

Subscriber or
SME Member Log On

WEB-ONLY CONTENT

Go to SME eNEWS

MINING INDUSTRY EVENTS

U2017 Global Uranium Symposium  - Conference
Aug 21, 2017 - Aug 25, 2017
5th International Seminar on Mine Planning  - Seminar
Aug 23, 2017 - Aug 25, 2017
5th International Seminar on Geology- Mining  - Seminar
Aug 23, 2017 - Aug 25, 2017
Conference of Metallurgists COM 2017  - Conference
Aug 27, 2017 - Aug 30, 2017

METAL PRICES


Au
Ag
Pt
Pd
Ni
Cu
Al
Pb

AGGREGATES
AND MINERALS
MARKETPLACE


http://aggregatesmineralsmarketplace.com
The Mining Engineering, SME and NSSGA
Online Buyers Directory Site
The Online Global Mining and Minerals Library Site
March 2017
Volume 69    Issue 3

New integer programming models for tactical and strategicunderground production scheduling

Mining Engineering, 2017, Vol. 69, No. 3, pp. 37-42
King, B.; Goycoolea, M.; Newman, A.

DOI: https://doi.org/10.19150/me.7360

ABSTRACT:

In this paper, we consider an underground production scheduling problem consisting of determining the proper time interval or intervals in which to complete each mining activity so as to maximize a mine’s discounted value while adhering to precedence, activity durations, and production and processing limits. We present two different integer programming formulations for modeling this optimization problem. Both formulations possess a resource-constrained project scheduling problem structure. The first formulation uses a fine time discretization and is better suited for tactical mine scheduling applications. The second formulation, which uses a coarser time discretization, is better suited for strategic scheduling applications. We illustrate the strengths and weaknesses of each formulation with examples.



Please login to access this article.

OR

If you are not an SME member, you can join SME by clicking the button below.