A new MIP model for mining equipment scheduling under variable scenarios

QR Code

A new MIP model for mining equipment scheduling under variable scenarios

Mining is a capital-intensive industry that requires hundreds of million-dollar investment in large equipment. Mine trucks are the most important mining equipment for the material haulage. However, their maintenance cost accounts for large proportion of the overall mining operational cost. An overvi...

Full description

Bibliographic Details
Main Author:	Fu, Zhao
Format:	Thesis
Language:	English
Published:	Curtin University 2014
Online Access:	http://hdl.handle.net/20.500.11937/163

Similar Items

A new MIP model for mine equipment scheduling by minimizing maintenance cost
by: Topal, Erkan, et al.
Published: (2010)

Optimisation of a Mixed Truck Fleet Schedule through a MIP Model Considering a New Truck-Purchase Option
by: Fu, Z., et al.
Published: (2014)

Scenario evaluation through Mine Schedule Optimisation
by: Fava, L., et al.
Published: (2011)

Characterization of Bisphenol a MIP (BPA-MIP) Synthesizing
by: Shahaidah , Shariff, et al.
Published: (2014)

MiniMIPS: An 8-Bit MIPS in an FPGA for Educational Purposes
by: Ortega-Sanchez, Cesar
Published: (2011)

Implementation of VLSI design flow for MIPS-based SOC
by: Lee, Zhao Min
Published: (2022)

Minimizing the sum of earliness/tardiness in identical parallel machines schedule with incompatible job families: An improved MIP approach
by: OMAR, M, et al.
Published: (2006)

Accurate costing of mining equipment
by: Burt, C., et al.
Published: (2018)

RISC Design: Synthesis Of The MIPS Processor Core
by: Yew, Teong Guan
Published: (2003)

Equipment selection for surface mining: a review
by: Burt, Christina, et al.
Published: (2014)

Bayesian Hierarchical Modelling of Equipment Reliability in Mining: A Pragmatic Approach
by: Leadbetter, Ryan K.
Published: (2025)

Lightning protection scenarios of communication tower sites; human hazards and equipment damage
by: Gomes, Chandima, et al.
Published: (2011)

Equipment selection with heterogeneous fleets for multiple-period schedules
by: Burt, Christina, et al.
Published: (2011)

A new mathematical programming model for production schedule optimisation in underground mining operations
by: Nehring, M., et al.
Published: (2010)

Stochastic scenario-based generation scheduling in industrial microgrids
by: Derakhshandeh, S., et al.
Published: (2017)

Development of an integrated scheduling model for handling equipment in automated port container terminals
by: Sadeghian, Syed Hamidreza
Published: (2014)

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty
by: Bayliss, Christopher D., et al.
Published: (2014)

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty
by: Bayliss, Christopher D., et al.
Published: (2016)

Majlis Ikrar Pelajar (MIP) UNIMAS Sesi 2015/2016
by: Universiti Malaysia Sarawak
Published: (2015)

Application of Factorial Design Analysis to Control Bisphenol A MIP fabrication
by: C. K. M., Faizal, et al.
Published: (2011)

Bisphenol A MIP Fabrication using the Application of Factorial Design Analysis
by: C. K. M., Faizal, et al.
Published: (2012)

A new model for open-pit production and waste-dump scheduling
by: Fu, Z., et al.
Published: (2019)

A New Toplogy-Transport Scheduling for Manet with Variable Network Size
by: Chan, King-Sun, et al.
Published: (2010)

The Application of a MIP Model to Select the Optimum Auxiliary Fan and Operational Settings for Multiple Period Duties
by: Acunna, E., et al.
Published: (2010)

Optimum waste dump planning using Mixed Integer Programming (MIP)
by: Li, Yu
Published: (2014)

Waste rock dumping optimisation using mixed integer programming (MIP)
by: Li, Yu, et al.
Published: (2013)

Adaptation Strategies for New Zealand Dairy Farms under Climate Change Scenarios
by: Kalaugher, E., et al.
Published: (2012)

New IS Vision in Industry Scenarios
by: Nimmagadda, Shastri, et al.
Published: (2020)

Developments in Mine Design, Planning and Scheduling in Open Cut Mining
by: Saydam, S., et al.
Published: (2012)

Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios
by: Sukeran, Lukmanhakim, et al.
Published: (2014)

Performance evaluation of LTE scheduling techniques for heterogeneous traffic and different mobility scenarios
by: Sukeran, Lukmanhakim, et al.
Published: (2015)

On the role of deterioration of structures in their performance; With a focus on mining industry equipment and structures
by: Javaherdashti, R., et al.
Published: (2010)

Selection criteria for loading and hauling equipment - open pit mining applications
by: Hardy, Raymond J
Published: (2007)

Synthesis and evaluation of a membrane molecularly imprinted polymer (MIPs) for methylene blue dye uptake
by: Asman, Saliza, et al.
Published: (2009)

Verification of Microprocessor without Interlocked Pipeline (MIPS) Processor using Self-Checking Testbench
by: Teng, Wen Jun
Published: (2023)

Mining truck scheduling with stochastic maintenance cost
by: Topal, Erkan, et al.
Published: (2012)

Integrated Optimization of Underground Mine Design and Scheduling
by: Little, J, et al.
Published: (2013)

Toward optimum value in underground mine scheduling
by: Maybee, Bryan, et al.
Published: (2010)

Synthesis and characterization of hybrid molecularly imprinted polymer (MIP) membranes for removal of methylene blue (MB)
by: Asman, Saliza, et al.
Published: (2012)

Training New Housing Entrepreneurs — A Malaysian Scenario
by: Jaafar, Mastura, et al.
Published: (2015)

Cannot write session to /tmp/vufind_sessions/sess_1mddnrtn14ck3r419qorg2kqqs