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A Multiple Objective Transportation Problem Approach to Dynamic Truck Dispatching in Surface Mines by Afrapoli, Ali Moradi; Tabesh, Mohammad; Askari-Nasab, Hooman is a Engineering article available to read on EtoBox.

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In surface mining operations, fleet management systems seek to make optimal decisions to handle material in two steps: path production optimization and real-time truck dispatching. This paper develops a multiple objective transportation model for real-time truck dispatching. The model addresses two major drawbacks of former models. The proposed model dispatches the trucks to destinations trying to simultaneously minimize shovel idle times, truck wait times, and deviations from the path production requirements established by the production optimization stage. To evaluate the performance of the proposed model, we developed a benchmark model based on the backbone of the most widely used fleet management system in the mining industry (Modular Mining DISPATCH). Afterward, we built a discrete event simulation model of the truck and shovel operation using an iron ore mine case study, implemented both of the dispatching models, and compared the results. The implementation of the models suggests that the multiple objective model developed in this paper is able to meet the production requirements of the operation using a fleet at 85% of the size of the deterministically calculated desired fl

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Author

Afrapoli, Ali Moradi; Tabesh, Mohammad; Askari-Nasab, Hooman

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0377-2217)

Published

2019

Language

EN

Field

Engineering (Physical Sciences)