Bottleneck identification and ranking model for mine operations

M. Mustafa Kahraman, W. Pratt Rogers, Sean Dessureault

Research output: Contribution to journalArticle

Abstract

Mining has a long history of production and operations management. Considering the increasing complexity of reserves, declining metal grades, and worldwide price volatilities, mines have to operate more efficiently than ever. In recent years, companies have been adopting innovative solutions and technologies to reduce costs and remain competitive in the global market. Specifically, management of bottlenecks has been in the focus of the manufacturing industry for decades now. The mining industry has made significant advancements in process improvement tools using equipment, human, and asset tracking capabilities. However, to date, there is no holistic approach or system to identify and manage the bottleneck in the entire value chain of mining. This research proposes a new method to identify and rank the bottlenecks in a mine value chain. The method is applied in a coal mine and the results are presented in the case study.

Original languageEnglish (US)
Pages (from-to)1178-1194
Number of pages17
JournalProduction Planning and Control
Volume31
Issue number14
DOIs
StatePublished - Oct 25 2020

Keywords

  • Bottlenecks
  • bottleneck identification
  • bottleneck ranking
  • holistic mine management

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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