The value of information: a guide to the strategic development of projects founded on mineral resource categorization

Tulcanaza, Edmundo; Ferguson, Grant

doi:10.1179/aes.2001.110.3.126

Cited by 5 publications

(4 citation statements)

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“…For 2012 a further increase of 4.5% is expected due to new expansion projects in several national areas (Garay et al, 2012). Several studies report about the advancements promoted by the Chilean government to increase the value proposition of this complex industrial field (Tulcanaza & Ferguson, 2001). It is not only a matter of inspiring new ways to reduce production costs, but also of adding value to the companies working in this field (Warhurst & Bridge, 1996) by stimulating the search for new technological and design scenarios.…”

Section: The Mining Industry: An Integrated Value Chainmentioning

confidence: 99%

Integrated Model for Technology Assessment and Expected Evolution: A Case Study in the Chilean Mining Industry

Nikulin

Graziosi

Cascini

et al. 2013

Journal of Integrated Design and Process Science

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In this paper a 9-step method is proposed to study the evolution of technical systems. Merging the potential of TRIZ and patent analysis, a structured approach is defined to properly analyse the state of the art of a technology and retrieve useful insights to identify and structure new development strategies. Past-present evolutionary dynamics are quantitatively described, while indications for new possible development scenarios can be also extrapolated. Starting from a detailed breakdown of the technology under analysis, a list of evaluation parameters is defined to classify inventions and thus monitor the technology advancements by means of the TRIZ Laws of Engineering Systems Evolution. The aim of this study is to foster the diffusion of more reliable and systematic approaches to innovation especially in those industrial sectors where high risks and investment costs tend to favour short-term technological advances rather than long-term ones. Two case studies were developed within the context of the mining industry. Specifically, the study is part of a research project founded by the Chilean Economic Development Agency (CORFO) whose objective is to support companies of the Atacama region, in the identification of new technological opportunities to renew their production process.

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Section: The Mining Industry: An Integrated Value Chainmentioning

confidence: 99%

Integrated Model for Technology Assessment and Expected Evolution: A Case Study in the Chilean Mining Industry

Nikulin

Graziosi

Cascini

et al. 2013

Journal of Integrated Design and Process Science

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“…32% of which corresponds to the Chilean production) ( Garay et al, 2011). Several studies report about the advancements promoted by the Chilean government to increase the value proposition of this complex industrial field (Tulcanaza et al, 2001). Nowadays in Chile mining is the industry characterized by the largest investments.…”

Section: Background Of the Industrial Context In Chilementioning

confidence: 99%

A Computer-aided Application for Modeling and Monitoring Operational and Maintenance Information in Mining Trucks

Nikulin

Ulloa

Carmona

et al. 2016

Archives of Mining Sciences

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The combination of maintenance planning and key performance indicators are relevant to create a more holistic scenario of the mining activities. On the one hand, reliability and maintainability are system characteristics suitable for planning maintenance strategies. On the other hand, key performance indicators are suitable to analyze cost and resource consumption information about mining equipment. Nevertheless in practice, both approaches are modeled separately and frequently by different team-works of a mining company. With this in mind, a computer-aided application was conceived to drive with better efficacy the operational and maintenance strategy in a complex process where the equipment is in continuous movement such as the transportation process in an open-mine pit.Keywords: Reliability, Maintainability, Computer-aided application Połączenie planowania eksploatacji i działań zabezpieczających i analizy głównych wskaźników wydajności stanowi podstawę opracowania holistycznego scenariusza prowadzenia prac wydobywczych. Z jednej strony mamy niezawodność i możliwość eksploatacji jako elementy charakterystyczne układu. Z drugiej strony, analiza podstawowych wskaźników wydajności wykorzystywana jest do obliczenia kosztów, zużycia zasobów przy wykorzystaniu sprzętu górniczego. W praktyce jednak, aspekty te modelowane są osobno, zazwyczaj przez różne zespoły badawcze w ramach kopalni. Mając to na uwadze, opracowano aplikację wspomaganą komputerowo dla generowania większej wydajności eksploatacji i prac zabezpieczających w ramach niezwykle złożonego procesu w którym sprzęt pozostaje w ciągłym ruchu, jak ma to miejsce w przypadku procesu transportu w kopalni odkrywkowej.Słowa kluczowe: niezawodność, zabezpieczenie, aplikacja wspomagana komputerowo *

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“…In this work we consider the role of geoscientific data in exploration decision making processes. We neglect here all other aspects of decision making, for example, infrastructure accessibility, commodity prices and organisational factors, whilst recognising that they are all very substantial (Penney et al , 2004, Tulcanaza andFerguson, 2001). We define a multi-level analytical approach to understand spatial variations in the "richness" of geoscience data sets.…”

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confidence: 99%

A role for data richness mapping in exploration decision making

Aitken

Occhipinti

Lindsay

et al. 2018

Ore Geology Reviews

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Exploration programs involve long, multi-branched decision pathways with many potential outcomes from a single starting point. Critical decisions along this pathway include the choice of the area(s) in which to explore, and the choice to acquire new data sets to assist in exploration. Included in this is a factoring of risks, including the technical risks associated with imperfect data and the value relative to cost of collecting more data. In our experience it is not common practice to explicitly assess and quantify the impact of data on exploration decisions. A better understanding of the opportunity provided by data has the potential to improve the quality and/or ease of decision making. In this study we explore the potential role of data richness mapping as part of a decision making workflow. We outline a method to quantitatively assess data richness following a four level hierarchy, namely presence of data (L1), quality of data (L2) and attributes of data (L3). Measures of these are combined across several data sets to give an overall estimate of data richness (L4). Using this data richness map, along with past exploration records and a prospectivity model, we conduct an illustrative case study for gold exploration in the Bryah Sub-basin (Yerrida Basin) region of Western Australia. The first application is to produce a simple data based classification of regions with different technical risk characteristics. The second application is to combine this with a prospectivity model to better understand exploration potential. The third application uses data richness mapping to understand which data sets are most likely to have an impact on regional exploration. In each case we show how an understanding of data richness can help support exploration decision making. Introduction: Modern exploration often demands the integration of concepts that operate across a variety of scales

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The value of information: a guide to the strategic development of projects founded on mineral resource categorization

Cited by 5 publications

References 1 publication

Integrated Model for Technology Assessment and Expected Evolution: A Case Study in the Chilean Mining Industry

Integrated Model for Technology Assessment and Expected Evolution: A Case Study in the Chilean Mining Industry

A Computer-aided Application for Modeling and Monitoring Operational and Maintenance Information in Mining Trucks

A role for data richness mapping in exploration decision making

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