A stochastic integrated simulation and mixed integer linear programming optimisation framework for truck dispatching problem in surface mines
by Ali Moradi-Afrapoli; Hooman Askari-Nasab
International Journal of Mining and Mineral Engineering (IJMME), Vol. 11, No. 4, 2020

Abstract: Making near optimal and close to reality decisions on the destination of trucks is vital for maximising the utilisation of truck and shovel fleets and subsequently minimising the operating costs in surface mines. We developed an integrated simulation and optimisation framework for solving truck dispatching problems in surface mines. The developed framework uses simulation modelling to imitate mining operations and capture technical uncertainties. It also applies uncertainty-based mixed integer linear optimisation modelling to dispatch trucks while capturing practical uncertainties. The developed optimisation model simultaneously optimises truck fleet utilisation, shovel fleet utilisation, and plant feed rate. The model considers the stochastic nature of the dispatching parameters and includes travel time uncertainties in the decision-making procedure. A comparison between the application of the developed optimisation model with a currently in the market optimisation model using the developed integrated simulation and optimisation framework showed 11% improvement in the production of the case study.

Online publication date:: Mon, 21-Dec-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mining and Mineral Engineering (IJMME):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com