Autonomy for whom? implications of cyber-physical mining systems for operator work and organisation
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View abstract on PubMed
Summary
This summary is machine-generated.The Autonomous Haulage System (AHS) improves mining safety but increases operator task diversity and isolation. Effective mining automation requires balancing technology with human factors and organizational adaptation.
Area Of Science
- Mining Engineering
- Human-Computer Interaction
- Organizational Studies
Background
- Cyber-physical systems are transforming industries, including mining.
- The Autonomous Haulage System (AHS) represents a significant automation advancement in mining operations.
Purpose Of The Study
- To examine the implementation of the AHS from a work-system perspective.
- To analyze how automation reshapes the human-technology-organization balance, focusing on operator roles.
- To understand the impact of autonomy redistribution on work and organizational relations.
Main Methods
- An explorative case study was conducted in an open-pit mine.
- Balance Theory was applied to interpret the findings.
- The study focused on the reconfiguration of work systems due to automation.
Main Results
- AHS improves safety and predictability but increases work-task diversity and proceduralization for operators.
- Automation leads to greater standardization, bureaucratization, and reduced social interaction, risking isolation.
- Operators remain crucial for supervision, coordination, and adaptation, but their roles become more dependent on organizational structures.
Conclusions
- Maintaining balance in cyber-physical mining systems is an ongoing organizational responsibility.
- Social cohesion, mutual trust, and continuous learning are vital for successful automation.
- Mining automation effectiveness hinges on collective engagement and organizational adaptation, not solely technological performance.
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