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dc.contributor.authorBurt, C.
dc.contributor.authorCaccetta, Louis
dc.date.accessioned2018-05-18T07:56:46Z
dc.date.available2018-05-18T07:56:46Z
dc.date.created2018-05-18T00:23:06Z
dc.date.issued2018
dc.identifier.citationBurt, C. and Caccetta, L. 2018. Future research directions. In Studies in Systems, Decision and Control, 153-155.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/66977
dc.identifier.doi10.1007/978-3-319-76255-5_10
dc.description.abstract

© 2018, Springer International Publishing AG. In this book we have presented a comprehensive account of the mathematical based computational models that have been developed for determining the optimal truck-loader selection strategy for use in large and complex mining operations. We have reviewed the methodology developed over the past 50 years from the early ad hoc spreadsheet approaches to the current highly sophisticated and accurate mathematical based computational models. Our approach has been motivated and illustrated by real case studies provided by our industry collaborators. This final chapter discusses a number of open problems that provide important challenges to the research community.

dc.titleFuture research directions
dc.typeBook Chapter
dcterms.source.volume150
dcterms.source.startPage153
dcterms.source.endPage155
dcterms.source.titleStudies in Systems, Decision and Control
curtin.departmentSchool of Electrical Engineering, Computing and Mathematical Science (EECMS)
curtin.accessStatusFulltext not available


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