9783846526392 - Optimum Crusher Location for a Quarry: A Geospatial Approach: A Geospatial solution for Mining operational cost reduction de Bello, Abdulazeez; Salahudeen, Abdulwas... (9 resultados)

Condición: New. pp. 116.

Taschenbuch. Condición: Neu. Optimum Crusher Location for a Quarry: A Geospatial Approach | A Geospatial solution for Mining operational cost reduction | Abdulazeez Bello (u. a.) | Taschenbuch | 116 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846526392 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Paperback. Condición: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The haulage phase has been identified as the highest contributor to the overall cost of a quarry operation, usually contributing as much as 30-60% of the total cost. As a cheaper alternative to mobile crushing suggested some previous studies, selection of an optimal location for the crusher can reduce the haulage distance between the blasting and crushing phases without exposure to risk of the blasting phase, thus reducing the overall cost of operation. This book explores the use of a data-driven Geographic-Information-System (GIS) approach for selecting the optimal location of a stationary stone crusher. Due to the difficulty of integrating the influential geographical factors (blast radius, slope and elevation) experienced by previous attempts, the methodology was developed to fully integrate geographic abstractions associated with the major quarrying phases into an appropriate Multi-criteria Decision Making model. By using a GIS based MCDM approach, this study presents a means of improving the problems of previous attempts and also presents a cheaper cost reduction strategy for a quarry operation. 116 pp. Englisch.

Condición: New. Print on Demand pp. 116 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 116.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Bello AbdulazeezBello Abdulazeez works as a Geomatic Specialist at Saudi Geomatics, Saudi Arabia. He recently completed his Masters degree in Geoinformatics from University Of technology Malaysia.His research interest includes Geodes.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The haulage phase has been identified as the highest contributor to the overall cost of a quarry operation, usually contributing as much as 30-60% of the total cost. As a cheaper alternative to mobile crushing suggested some previous studies, selection of an optimal location for the crusher can reduce the haulage distance between the blasting and crushing phases without exposure to risk of the blasting phase, thus reducing the overall cost of operation. This book explores the use of a data-driven Geographic-Information-System (GIS) approach for selecting the optimal location of a stationary stone crusher. Due to the difficulty of integrating the influential geographical factors (blast radius, slope and elevation) experienced by previous attempts, the methodology was developed to fully integrate geographic abstractions associated with the major quarrying phases into an appropriate Multi-criteria Decision Making model. By using a GIS based MCDM approach, this study presents a means of improving the problems of previous attempts and also presents a cheaper cost reduction strategy for a quarry operation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The haulage phase has been identified as the highest contributor to the overall cost of a quarry operation, usually contributing as much as 30-60% of the total cost. As a cheaper alternative to mobile crushing suggested some previous studies, selection of an optimal location for the crusher can reduce the haulage distance between the blasting and crushing phases without exposure to risk of the blasting phase, thus reducing the overall cost of operation. This book explores the use of a data-driven Geographic-Information-System (GIS) approach for selecting the optimal location of a stationary stone crusher. Due to the difficulty of integrating the influential geographical factors (blast radius, slope and elevation) experienced by previous attempts, the methodology was developed to fully integrate geographic abstractions associated with the major quarrying phases into an appropriate Multi-criteria Decision Making model. By using a GIS based MCDM approach, this study presents a means of improving the problems of previous attempts and also presents a cheaper cost reduction strategy for a quarry operation.