A mixed integer programming model for long term capacity expansion planning: A case study from The Hunter Valley Coal Chain

Singh, Gaurav; Sier, David; Ernst, Andreas T.; Gavriliouk, Olena; Oyston, Rob; Giles, Tracey; Welgama, Palitha

doi:10.1016/j.ejor.2012.01.012

Cited by 48 publications

(25 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…They also use an optimization model to determine the best combinations of infrastructure expansion options to investigate [11]. Without these tools, the HVCCC would not be able to achieve its target capacity.…”

Section: Discussionmentioning

confidence: 99%

“…HVCCC carries out the analysis critical to planning both infrastructure and operational change using a suite of optimization and simulations models (e.g. [11,12]). Their long-term models assess the likely impact of infrastructure capacity expansions on throughput in future years, providing the basis on which the producers commit to infrastructure projects.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A decision support tool for generating shipping data for the Hunter Valley coal chain

Boland¹,

Savelsbergh²,

Waterer³

2015

Computers & Operations Research

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A decision support tool for generating shipping data for the Hunter Valley coal chain

Boland¹,

Savelsbergh²,

Waterer³

2015

Computers & Operations Research

View full text Add to dashboard Cite

“…To the authors' knowledge, the only publication which is devoted to optimisation of capacity planning for supply chains of mineral resources is [31]. This paper attempts to determine the desired levels of resources whilst accounting for the transportation and multistage material handling.…”

Section: Motivation and Comparison With The Existing Literaturementioning

confidence: 99%

Capacity planning in supply chains of mineral resources

Fung

Singh

Zinder

2015

Information Sciences

Self Cite

View full text Add to dashboard Cite

“…The non-linear programming is intended to outline an optimal production to maximise NPV while meeting excavation, concentrator and refinery capacity in the mining projects (Pendharkar and Rodger 2000;Martinez and Newman 2011;Singh et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Determination of optimised cut-off grade utilising non-linear programming

et al. 2015

View full text Add to dashboard Cite

One of the most fundamental problems in a mining operation is how to recognise an optimum cut-off grade, which defines the grade for discriminating between ore and waste in an ore body, including ore that is extracted at different periods over a mine life period. Therefore, the identification of an optimised cut-off grade (COG) is a crucial function which has to be monitored during the mine life. The main aim of this study is to propose a modified optimum COG model in order to maximise the profit value (PV) for mining projects. Maximising the PV of a mining operation, which is a nonlinear programming, is subject to different constraints involving a general grade distribution within a deposit and three stages of production namely mining, concentrating and refining. The proposed computer-based model is more effective in long-term planning of the open pit mines. To provide a better understanding of the algorithm efficiency, a numerical example is given and subsequently solved based on the Lane algorithm. In order to achieve this, the LINGO software was employed.

show abstract

A mixed integer programming model for long term capacity expansion planning: A case study from The Hunter Valley Coal Chain

Cited by 48 publications

References 32 publications

A decision support tool for generating shipping data for the Hunter Valley coal chain

A decision support tool for generating shipping data for the Hunter Valley coal chain

Capacity planning in supply chains of mineral resources

Determination of optimised cut-off grade utilising non-linear programming

Contact Info

Product

Resources

About