Linear programming in planning and executing the exploration phase of mining

Tommi Kauppinen

Research output: ThesisDoctoral ThesisCollection of Articles


The doctoral dissertation consists of analysis of exploration phase of mining on different levels. The dissertation is of the field of systems technology. Firstly, methods for drillcore analysis are studied. The main emphasis is on rapid, contactless and online analysis of drillcore by Raman spectroscopy and Laser-Induced Fluorescence (LIF). The main result is the introduction of a Non-Negative Least Squares (NNLS) method for studying Raman spectra in order to partly automate the analysis of measurements. Because this in turn makes the analysis of drillcores more rapid, the research can alleviate the negative economic and ecological impact of exploratory phase of mining activities. Secondly, the mathematical methods are extended to help geologists in search for ore. This goal is achieved by measuring homogenised pellet samples with Raman spectroscopy and analysing the results with Data Envelopment Analysis (DEA). This creates opportunities for more efficient exploration as geologist can use the results to identify ore zones. Thirdly, the sustainable exploration phase of mining is discussed and suitable mathematical method based on DEA is introduced. The mathematical method takes into account different economic, ecological and social factors and it can be used to alleviate negative social or ecological impacts the exploration phase of mining may have. As a conclusion, Non-negative least squares and Data Envelopment Analysis are introduced as useful tools for developing the exploration phase of mining to become more economically, ecologically and socially acceptable.
Translated title of the contributionLineaarinen optimointi malminetsinnän suunnittelussa ja toteutuksessa
Original languageEnglish
QualificationDoctor's degree
Awarding Institution
  • Aalto University
  • Zhou, Quan, Supervising Professor
  • Zenger, Kai, Thesis Advisor
Print ISBNs978-952-60-7729-1
Electronic ISBNs978-952-60-7730-7
Publication statusPublished - 2017
MoE publication typeG5 Doctoral dissertation (article)


  • exploration
  • non-negative least squares
  • data envelopment analysis
  • Raman analysis
  • mineral concentration
  • rock breakage
  • sustainability


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