Foreword |
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xiii | |
Acknowledgements |
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xv | |
The Authors |
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xvii | |
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Chapter 1 What is human factors, and why is it important for mining equipment? |
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1 | (14) |
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1.1 What is "human factors"? |
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1 | (1) |
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1.2 What are the aims of human factors? |
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2 | (1) |
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1.2.1 But... people differ in shape, size, ability, skill, and motivation |
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2 | (1) |
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1.2.2 And...adding human factors to the design of a product is often seen as unnecessary |
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2 | (1) |
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1.3 Why is it important to consider human factors for mining equipment? |
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3 | (2) |
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3 | (1) |
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1.3.2 Productivity and work efficiency |
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4 | (1) |
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1.4 History of human factors in mining |
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5 | (1) |
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1.5 Human factors and risk management |
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5 | (1) |
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1.6 Key current issues, and future challenges with mining equipment |
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6 | (5) |
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1.6.1 Safety versus production |
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6 | (1) |
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1.6.2 Bigger! Stronger! Quicker! Safer! More reliable! |
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7 | (2) |
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1.6.3 Remote control and automation |
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9 | (1) |
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1.6.4 An ageing workforce |
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9 | (1) |
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1.6.5 Gap between mine site ergonomics knowledge and manufacturer human factors design skills |
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10 | (1) |
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1.7 Why this book is necessary |
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11 | (1) |
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1.8 Structure of the book |
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12 | (3) |
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Chapter 2 Equipment design |
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15 | (24) |
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2.1 The equipment design process |
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15 | (1) |
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2.2 The equipment life cycle |
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16 | (2) |
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18 | (1) |
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2.4 Hierarchy of control, and control effectiveness |
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19 | (3) |
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2.4.1 Is the actual effectiveness of the controls more important than where they sit on the hierarchy? |
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22 | (1) |
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22 | (2) |
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2.5.1 Who benefits from a user-centred focus? |
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23 | (1) |
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2.6 Human factors cost-benefit analysis and the system life cycle |
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24 | (2) |
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2.6.1 Problems with human factors CBA in mining |
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24 | (1) |
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2.6.2 Benefits of using a structured CBA method |
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25 | (1) |
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2.7 Equipment standardisation |
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26 | (2) |
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2.7.1 Issues with standards |
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27 | (1) |
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2.7.2 The standards process |
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27 | (1) |
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2.8 Potential barriers to using human factors in design |
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28 | (2) |
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2.9 Operability and maintainability analysis technique (OMAT) |
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30 | (9) |
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2.9.1 The importance of designing mobile equipment for maintainability and operability |
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30 | (1) |
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2.9.2 The beginning of the Earth Moving Equipment Safety Round Table (EMESRT) |
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31 | (2) |
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2.9.3 Previous techniques for maintainability and operability assessment |
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33 | (1) |
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34 | (1) |
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35 | (4) |
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Chapter 3 It is not just about design: Mining equipment operations and maintenance |
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39 | (10) |
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3.1 Elements in the mining system |
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39 | (2) |
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3.2 Safety in the operation of mobile equipment |
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41 | (1) |
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3.3 Different types of factors involved in mobile equipment incidents |
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42 | (2) |
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3.4 Haddon's countermeasure principles |
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44 | (3) |
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3.4.1 Principle 1: Prevent the creation of the hazard |
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44 | (1) |
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3.4.2 Principle 2: Reduce the amount of the hazard |
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44 | (1) |
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3.4.3 Principle 3: Prevent the release of the hazard |
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45 | (1) |
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3.4.4 Principle 4: Modify the rate of release of the hazard from its source |
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45 | (1) |
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3.4.5 Principle 5: Separate the hazard from that which is to be protected in time and space |
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46 | (1) |
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3.4.6 Principle 6: Separate the hazard from that which is to be protected by a physical barrier |
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46 | (1) |
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3.4.7 Principle 7: Modify relevant basic qualities of the hazard |
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46 | (1) |
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3.4.8 Principle 8: Make what is to be protected more resistant to damage from the hazard |
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47 | (1) |
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3.4.9 Principle 9: Begin to counter damage done by the hazard |
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47 | (1) |
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3.4.10 Principle 10: Stabilise, repair, and rehabilitate the object of damage |
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47 | (1) |
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47 | (2) |
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49 | (10) |
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49 | (4) |
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4.2 Direct manual-task risk factors |
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53 | (3) |
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53 | (1) |
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54 | (1) |
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4.2.3 Movement and repetition |
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55 | (1) |
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55 | (1) |
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4.3 Assessing manual-task injury risks |
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56 | (1) |
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4.4 The place of "training" in manual-task injury risk management |
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57 | (1) |
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58 | (1) |
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Chapter 5 Workstation design and anthropometric variability |
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59 | (18) |
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5.1 Workstation design: Overview |
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59 | (1) |
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5.2 Incorporating anthropometric data in workstation design |
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59 | (3) |
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5.2.1 Types of anthropometric data |
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59 | (1) |
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5.2.2 Sources of anthropometric data |
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60 | (1) |
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5.2.3 Use of anthropometric data in design |
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61 | (1) |
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5.2.4 Issues with the use of percentiles: The myth of the 50th percentile person |
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62 | (1) |
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5.3 General principles of workstation design |
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62 | (13) |
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5.3.1 Clearance requirements |
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62 | (1) |
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5.3.2 Access and egress, and fall prevention during operation and maintenance |
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63 | (4) |
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5.3.3 Location and arrangement of workstation controls and displays |
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67 | (5) |
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72 | (2) |
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74 | (1) |
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5.4 Digital tools for workstation design |
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75 | (1) |
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75 | (2) |
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Chapter 6 Physical environment and climate |
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77 | (28) |
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Section 6.1 co-written with Robert Randolph |
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Section 6.2 co-written with James Rider |
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Section 6.3 co-written with Janet Torma-Krajewski |
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Section 6.4 co-written with Tammy Eger |
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78 | (4) |
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78 | (1) |
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79 | (1) |
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6.1.3 Variables of noise exposure |
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79 | (1) |
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6.1.4 Noise protection strategies |
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80 | (1) |
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80 | (2) |
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82 | (5) |
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82 | (2) |
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6.2.2 Dust control in mining |
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84 | (2) |
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6.2.3 Respiratory protection and other personal protective equipment |
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86 | (1) |
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6.3 Heat, cold, and climate control |
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87 | (9) |
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6.3.1 Extent of the issue |
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87 | (1) |
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6.3.2 Overview of environmental heat stress |
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88 | (2) |
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6.3.3 Environmental heat stress in mining |
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90 | (1) |
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6.3.4 Physiological responses to heat stress |
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91 | (1) |
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6.3.5 Heat stress indices and thermal limits |
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91 | (1) |
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92 | (2) |
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6.3.7 Controls: Specific to mining |
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94 | (1) |
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95 | (1) |
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96 | (1) |
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96 | (9) |
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97 | (1) |
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6.4.2 Consequences of vibration |
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98 | (1) |
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98 | (1) |
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6.4.2.2 Visuo-motor performance |
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99 | (1) |
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6.4.2.3 Health effects: Peripheral vibration |
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99 | (1) |
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6.4.2.4 Health effects: Whole-body vibration |
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100 | (2) |
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6.4.3 Controlling whole-body vibration risks associated with mining equipment |
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102 | (3) |
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Chapter 7 Vision, visibility, and lighting |
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105 | (14) |
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106 | (2) |
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7.2 Illumination and vision performance |
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108 | (2) |
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7.3 Standards for mine lighting |
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110 | (1) |
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7.4 Recommended lighting levels |
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110 | (1) |
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7.5 Lighting used in underground mines |
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111 | (3) |
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113 | (1) |
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7.5.2 Visual warning system (VWS) |
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113 | (1) |
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7.5.3 Wireless visual warning system (VWS) |
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114 | (1) |
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114 | (1) |
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7.6 Visibility and equipment design |
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114 | (5) |
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7.6.1 Accident statistics |
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115 | (1) |
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7.6.2 Strategies to improve line of sight from mobile equipment |
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116 | (1) |
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116 | (1) |
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116 | (3) |
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Chapter 8 Controls and displays |
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119 | (26) |
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8.1 Controls and displays: Overview |
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119 | (1) |
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8.2 Control design principles |
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119 | (3) |
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121 | (1) |
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8.2.2 Control sensitivity |
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121 | (1) |
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121 | (1) |
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8.3 Reducing control errors: Guarding, feedback, mode errors, coding, and directional control-response relationships |
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122 | (17) |
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8.3.1 Inadvertent control operation |
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122 | (1) |
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123 | (1) |
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8.3.3 Operation of incorrect controls |
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123 | (8) |
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131 | (8) |
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139 | (5) |
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8.4.1 The importance of visual information |
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139 | (1) |
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8.4.2 Types of visual information |
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140 | (1) |
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8.4.3 Warnings and alarms |
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140 | (1) |
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8.4.4 Key display design principles |
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141 | (3) |
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8.5 Case Study: The EMESRT controls and displays design philosophy |
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144 | (1) |
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Chapter 9 Automation and new technologies |
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145 | (16) |
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9.1 Why are new mining technologies and automation being developed and deployed? |
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145 | (2) |
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147 | (1) |
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9.3 The importance of considering human-machine interaction in automated mining equipment |
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148 | (3) |
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9.3.1 Why consider the human? |
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148 | (1) |
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9.3.2 Approaches and lessons from other domains |
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149 | (1) |
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9.3.3 Some of the "ironies" of automation |
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150 | (1) |
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9.4 Automation and human factors issues |
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151 | (2) |
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9.5 Case study: Collision detection and proximity-warning systems |
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153 | (5) |
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9.5.1 Uses of collision detection and proximity-warning systems |
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154 | (1) |
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9.5.2 Types of detection technologies |
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155 | (1) |
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9.5.2.1 Example 1: Underground mining |
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156 | (1) |
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9.5.2.2 Example 2: Surface mining |
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156 | (1) |
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9.5.3 Human factors issues |
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156 | (2) |
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9.6 Mining automation and people: What can we conclude? |
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158 | (3) |
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Chapter 10 Organisational and task factors |
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161 | (16) |
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10.1 Fatigue, shiftwork, and mining equipment |
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161 | (7) |
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161 | (1) |
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10.1.2 Fatigue measurement and impacts |
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162 | (1) |
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10.1.3 Working hours in mining |
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163 | (1) |
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164 | (1) |
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10.1.5 Strategies to combat operator fatigue |
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165 | (1) |
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165 | (1) |
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10.1.5.2 Fatigue management |
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165 | (1) |
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166 | (1) |
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10.1.5.4 Fatigue detection technologies |
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167 | (1) |
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168 | (2) |
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10.2.1 Levels of mental workload |
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168 | (1) |
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10.2.2 Mental workload as an interaction of person, task, environment, and equipment |
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169 | (1) |
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10.2.3 How to measure it? |
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169 | (1) |
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10.2.4 Mental workload and new technology |
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170 | (1) |
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170 | (2) |
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10.3.1 Is a little stress a good thing? |
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170 | (1) |
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170 | (1) |
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10.3.3 Who are affected most by stress, and what helps? |
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171 | (1) |
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10.3.4 Stress measurement |
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172 | (1) |
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172 | (3) |
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10.4.1 The importance of driver distraction |
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172 | (2) |
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10.4.2 Definitions of driver distraction |
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174 | (1) |
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10.4.3 Internal or external distraction |
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174 | (1) |
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10.4.4 Distraction minimisation |
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175 | (1) |
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175 | (2) |
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177 | (12) |
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177 | (1) |
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11.2 Human factors in the design of training |
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177 | (2) |
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11.3 Expertise and training |
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179 | (3) |
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11.3.1 Sensation and perception differences |
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180 | (1) |
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11.3.2 Decision-making differences |
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181 | (1) |
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11.3.3 Action differences |
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181 | (1) |
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11.3.4 Attention differences |
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181 | (1) |
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11.4 Issues associated with training |
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182 | (1) |
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11.5 Use of simulation in training |
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182 | (2) |
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11.6 VR simulation training in mining |
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184 | (3) |
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187 | (2) |
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189 | (8) |
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189 | (1) |
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12.2 Future general trends in mining human factors |
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190 | (1) |
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12.3 Future human-related trends in mining equipment design, operation, and maintenance |
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191 | (6) |
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12.3.1 The need for better human factors design and procurement tools |
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191 | (1) |
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12.3.2 Error-tolerant equipment |
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192 | (2) |
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194 | (3) |
References |
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197 | (16) |
Index |
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213 | |