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Case Study: How is autonomation used to eliminate waste from a lean perspective in the Swedish mining industry?
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för industriell ekonomi.
Blekinge Tekniska Högskola, Fakulteten för teknikvetenskaper, Institutionen för industriell ekonomi.
2017 (Engelska)Självständigt arbete på avancerad nivå (magisterexamen), 10 poäng / 15 hpStudentuppsats (Examensarbete)
Abstract [en]

How autonomation is used to eliminate waste from a lean perspective in the Swedish mining industry is researched to determine how this important aspect is handled, both from a autonomation and lean perspective. Existing research and knowledge on this matter is limited and the research aim to fill this theory gap.

 

The result and analysis of the study indicates that the two largest mining companies in Sweden (which makes up for the majority of the Swedish mining industry from mine operation perspective) categorize waste into four common waste categories; Transportation of personnel, transportation of equipment, waiting time of equipment and downtime of equipment. Autonomation is used to substantially reduce transportation of personnel and equipment since the operator can be isolated in an operator room. Autonomation in the Swedish mining industry also allows for better data analysis and communication which will reduce the waiting time and down time of equipment. Autonomation should also prevent products of abnormality to be produced. The vision on this is somewhat split in the Swedish mining industry and research is currently conducted to develop such solutions. The industry shares the same long-term vision of how to work with autonomation and lean in the future mines to further minimize waste. Although, there is no evidence showing that the Swedish mining industry would move to mechanized mining methods to create a continuous mining process which allows for optimal circumstances from a lean waste elimination perspective.

Ort, förlag, år, upplaga, sidor
2017. , s. 61
Nyckelord [en]
Mining lean waste elimination
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:bth-14818OAI: oai:DiVA.org:bth-14818DiVA, id: diva2:1118463
Ämne / kurs
IY2578 Magisterarbete MBA
Utbildningsprogram
IYABA MBA-programmet
Handledare
Examinatorer
Tillgänglig från: 2017-07-03 Skapad: 2017-06-30 Senast uppdaterad: 2017-07-03Bibliografiskt granskad

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BTH2017Gransell(1693 kB)1170 nedladdningar
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