Integration of mathematical models for ore mining industry. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Liu, Shi Qiang; Kozan, Erhan
• Is Part Of: International journal of systems science. Volume 6:Issue 1(2019)
• Page Start: 55
• Page End: 68
• Publication Date: 2019-01-02
• Subjects: Integrated mining optimisation -- mine design planning -- mine block sequencing -- mine production scheduling -- mixed integer programming; MDP: mine design planning at the strategic level -- MBS: mine block sequencing at the tactical level -- MPS: mine production scheduling at the operational level -- MIP: mixed integer programming; Operations research -- Periodicals; Logistics -- Periodicals; System analysis -- Periodicals; 003
• DOI: 10.1080/23302674.2017.1344330
• Languages: English
• ISSNs: 2330-2674

Abstract

ABSTRACT: This paper investigates the integration of planning and scheduling theory for open-pit ore mining industry under comprehensive mining constraints and attributes. Consequently, mine design planning, mine block sequencing and mine production scheduling problems are modelled, solved, interacted and integrated in a whole system. A series of interrelated mixed integer programming models and hybrid solution approaches are developed. Based on a real-world case study, it is validated that the integration of mathematical models is promising to significantly improve the overall efficiency of mining management in an analytical way.