Abstract
Operational excellence is crucial for every business to sustain in the long run. It is a management philosophy that requires organizations to indulge in introspections, take corrective measures, and focus on continuous improvement. Achieving operational excellence requires the resources of an organization to be used with optimum efficiency. This chapter is in conclusion to the results of the previous four chapters and details the interrelationships between information technology, decision-making, and operational efficiencies. A new model is presented that showcases 13 factors to be considered in LSOPM operations and in general by all large businesses to sustain in the long run. The chapter also includes future recommendations and areas of research in the concerned area.
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References
Australian Mining. (2016, August 17). The top ten trends for mining in 2016: Australian mining. Retrieved from Australian Mining Web site: www.australianmining.com.au.
Barr, R., & Cook, E. R. (2009, November). Mining for operational excellence. Mining Engineering, 17–22.
Bazzazi, A. G., Osanloo, M., & Behrooz, K. (2009). Optimal open pit mining equipment selection using fuzzy mutiple attribute decision making approach. Archives of Mining Sciences, 54(2), 301–320. Retrieved from https://mining.archives.pl/.
Botin, A. J., Guzman, R. R., & Smith, L. M. (2011). A Methodological model to assist in the optimization and risk management of mining Investment Decisions. Scielo.
Business First Magazine. (2017). Business operational excellence: Business First Magazine. Retrieved from Business First Magazine Web site: https://www.businessfirstmagazine.com.au.
Deloitte. (2015). Tracking the trends 2016: The top ten issues mining companies will face in the coming year. Deloitte.
E&MJ. (2009). New tools put data to work. Engineering & Mining Journal, 68–71.
E&MJ. (2012, March). Chilean service companies become world class. Engineering & Mining Journal, 68–80.
EY. (2017). The digital mine: EY. Retrieved from EY Website: www.ey.com.
Hanson, D. (2016, June 1). Problem solving: A look at analyzing mining data to improve performance. Retrieved from Canadian Mining Journal Web site: www.canadianminingjournal.com.
ICMM. (2012a). The role of mining in national economies. International Council on Mining & Metals. Retrieved from https://www.icmm.com/document/4440.
KPMG. (2016). Building confidence: A review of Dubai's residential real estate market. KPMG. Retrieved from https://assets.kpmg/content/dam/kpmg/pdf/2016/04/building-confidence-uae.pdf.
Lamghari, A., Dimitrakopoulos, R., & Ferland, A. J. (2013, July 3). A variable neighbourhood descent algorithm for the open-pit mine production scheduling problem with metal uncertainty. Journal of the Operational Research Society, 1305–1314.
McNab, K., & Garcia-Vasquez, M. (2011). Autonomous and remote operation technologies in Australian mining. Brisbane: The University of Queensland.
McRoberts, P. (2016, September). World mining equipment: Operating strategies-counting on the connected mine. Engineering & Mining Journal, 158–164.
Mining Global. (2015, August 12). GoldCorp—Operational excellence done right: Mining global. Retrieved from Mining Global Web site: www.miningglobal.com.
Mining Magazine. (2016, July 14). What's impacting productivity in your operation? Retrieved from Mining Magazine Web site: https://www.miningmagazine.com/innovation/news/1263123/%E2%80%99-impacting-productivity-operation.
Ontario. (2020, July 02). Key hazards in mining health and safety. Retrieved from Ontario Government Web site: https://www.ontario.ca/document/mining-sector-plan-2017-2018/key-hazards-mining-health-and-safety.
Procom. (2012, December 7). Information technology helps spur innovation in Canadian mining industry. Retrieved from Procom Web site: https://www.procom.ca.
PwC. (2016). Mine 2016 slower, lower, weaker... but not defeated: PricewaterhouseCoopers. Retrieved from PricewaterhouseCoopers Web site: www.pwc.com.
PwC. (2017). We need to talk about the future of mining: PricewaterhouseCoopers. Retrieved from PricewaterhouseCoopers Web site: www.pwc.com.
Saguaro Conveyor Equipment. (2020, July 02). The importance of proper mine safety, and how it’s done. Retrieved from Saguaro Conveyor Equipment Web site: https://saguaroconveyor.com/the-importance-of-proper-mine-safety-and-how-its-done/.
Thompson, I. (2015, December 1). Harnessing information technology to drive productivity gains: Canadian Mining Journal. Retrieved from Canadian Mining Journal Web site: www.canadianminingjournal.com.
Whyte, D. H., Geraghty, R., Pujol, F., & Sellschop, R. (2015, November ). How digital innovation can improve mining productivity: McKinsey & Company. Retrieved from McKinsey & Company Web site: www.mckinsey.com.
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Appendix: Additional Information on Key Takeaways from Chapters
Appendix: Additional Information on Key Takeaways from Chapters
See Table 5.1.
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Qudrat-Ullah, H., Panthallor, P.N. (2021). Conclusions and Future Research Direction in LSOPM. In: Operational Sustainability in the Mining Industry. Asset Analytics. Springer, Singapore. https://doi.org/10.1007/978-981-15-9027-6_5
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DOI: https://doi.org/10.1007/978-981-15-9027-6_5
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