Discrete Markov chains - An analytical tool for productivity analysis of surface mining systems

Gupta, Suprakash; Bhattacharya, Jayanta

doi:10.1080/09208119908944226

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Calculation Of the Objective Function1

Literature Review1

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2009

2015

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Cited by 4 publications

(2 citation statements)

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“…A steady-state analysis of the Markov chain for the productivity analysis of a repairable system was developed by Gupta and Bhattacharya [34]. Some recent research further considers practical factors such as influence of buffer [35].…”

Section: Calculation Of the Objective Functionmentioning

confidence: 99%

An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems

Zhou

Lin

Sun

et al. 2015

Reliability Engineering & System Safety

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Section: Calculation Of the Objective Functionmentioning

confidence: 99%

An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems

Zhou

Lin

Sun

et al. 2015

Reliability Engineering & System Safety

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“…A typical mine development cycle is emulated for analyzing the effect of load-haul-dump equipment failures on production throughput, mechanical availability and equipment utilization. Gupta et al (1999) describe a method for analyzing productivity of surface mining systems. According to the method, a production process remains in only one of two states: working or non-working.…”

Section: Literature Reviewmentioning

confidence: 99%

Bayesian statistics and production reliability assessments for mining operations

Sharma

Haukaas

Hall

et al. 2009

International Journal of Mining, Reclamation and Environment

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This thesis presents a novel application of structural reliability concepts to assess the reliability of mining operations. "Limit-states" are defined to obtain the probability that the total productivity -measured in production time or economic gain -exceeds user-selected thresholds. Focus is on the impact of equipment downtime and other non-operating instances on the productivity and the economic costs of the operation. A comprehensive set of data gathered at a real-world mining facility is utilized to calibrate the probabilistic models. In particular, the utilization of Bayesian inference facilitates the inclusion of data -and updating of the production probabilities -as they become available. The thesis includes a detailed description of the Bayesian approach, as well as the limit-state-based reliability methodology. A comprehensive numerical example demonstrates the methodology and the usefulness of the probabilistic results.

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Reliability-based measures for a system with an uncertain parameter environment

Lin

Huang

2012

International Journal of Systems Science

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Discrete Markov chains - An analytical tool for productivity analysis of surface mining systems

Cited by 4 publications

References 2 publications

An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems

An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems

Bayesian statistics and production reliability assessments for mining operations

Reliability-based measures for a system with an uncertain parameter environment

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