|Appears in Collections:||Management, Work and Organisation Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Fuzzy Model for Truck Allocation in Surface Mines|
|Citation:||Oraee K & Asi B (2004) Fuzzy Model for Truck Allocation in Surface Mines In: Hardygóra Monika, Paszkowska Gabriela, Sikora Marek (ed.) Mine Planning and Equipment Selection 2004 Proceedings of the Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, 1-3 September 2004, London: Taylor & Fancis (Routledge, USA). Mine Planning and Equipment Selection 2004, Thirteenth International Symposium on Mine Planning and Equipment Selection, Wroclaw, Poland, pp. 585-593.|
|Conference Name:||Mine Planning and Equipment Selection 2004, Thirteenth International Symposium on Mine Planning and Equipment Selection|
|Conference Location:||Wroclaw, Poland|
|Abstract:||In this paper, the model introduced in a previous work has been adopted as the basis. Several modifications have been applied to this, in order to produce a new model with enhanced applicabillity. It is then argued that, in practice, the daily output expected from a mechanical shovel is subject to variations caused by technical, operational and environmental factors. A model that uses fuzzy numbers for this impor-tant parameter would therefore optimize the process more realistically than those that are based on random numbers derived from probability distributions. Fuzzy logics have therefore been introduced into the model. The model was finally tested in Sarcheshmeh copper mine of Iran. It is concluded that, with an improved truck allocation system, prescribed by the model, the total output of the mine will increase by 15%. The ore received by the processing plant would also have grade values that have lower deviations from the ideal grade value.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.|
|FUZZY.pdf||562.01 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependant on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.