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Session 1: A risk-return prioritisation tool for global trade inspections

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biosecurity built on science A risk-return prioritisation tool for global trade inspections Paul Mwebaze, Dean Paini, Daniel Heersink, Petra Kuhnert – CSIRO Plant Biosecurity Cooperative Research Centre
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Page 1: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

A risk-return prioritisation tool for global trade inspections

Paul Mwebaze, Dean Paini, Daniel Heersink, Petra Kuhnert – CSIRO

Plant Biosecurity Cooperative Research Centre

Page 2: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Page 3: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Keller et al 2011 Div & Dist

(3522)

All ports = 5 steps

Page 5: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

June - Sept

Page 6: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

AGM eggs go through diapause

Gray et al 2001 – J Insect Phys

Page 7: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Brisbane

Hobart

Page 8: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Eggs arriving directly = not viable

Page 9: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Asian Gypsy Moth Real time tool Gray’s egg diapause model If carrying AGM eggs, would they have

completed diapause? Is there a particular time of the year?

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biosecurity built on science

No hatch

Page 11: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Hatch

Page 12: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

No hatch

Page 13: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Hatch

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biosecurity built on science

2010, 15 ships arrived that needed to be inspected (6 to ports climatically suitable)

2013 = 643 AGM inspections Feb – July (currently Jan – May)

Page 15: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Page 16: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Inspections – higher risk and expensive (training)

Page 17: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Modelling inspections

Cost

MinimumTotalCost

Low levelof inspections

High levelof inspections

Optimal level of inspection

Cost of waiting time

( time x value of time )

Cost of conductinginspections

( salaries + benefits )

Total Cost

Batabyal et al 2006. Eur J. Oper. Res

Page 18: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Modelling inspections

>> runSimulationsSimulating ... # of Concurrent Inspectors = 1Total Wait Cost = $ 8993.2K Total Inspection Cost = $ 899.1K Simulating ... # of Concurrent Inspectors = 2Total Wait Cost = $ 6254.9K Total Inspection Cost = $ 899.1K Simulating ... # of Concurrent Inspectors = 3Total Wait Cost = $ 6064.8K Total Inspection Cost = $ 899.1K Simulating ... # of Concurrent Inspectors = 4Total Wait Cost = $ 6016.4K Total Inspection Cost = $ 899.1K Simulating ... # of Concurrent Inspectors = 5Total Wait Cost = $ 6009.5K Total Inspection Cost = $ 899.1K

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biosecurity built on science

Modelling inspections

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biosecurity built on science

Potential benefits

Reduced number of vessels requiring inspections for AGM risk [quantified]

Reduced costs for Dept. of Agriculture [quantified]

Minimise disruption to vessel itineraries—reduce ‘delay’ costs for the shipping industry [quantified]

Reduced AGM risk to the forest product industry [not quantified]

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biosecurity built on science

AGM Statistics

2013 2014 20150

100

200

300

400

500

600

700

800

900

313

216

825

287

121 134

Total number of vessels targeted for risk assessment Total number of vessels inspected for AGM

Source: DAWR

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biosecurity built on science

AGM Statistics

2013 2014 20150

1

2

3

4

5

6

7

8

9

Number of vessels with AGM detected by master Total number of vessels with AGM egg masses (detections)Total number of comfirmed AGM cases (OSP)

Source: DAWR

Page 23: Session 1: A risk-return prioritisation tool for global trade inspections

biosecurity built on science

Acknowledgements

John Nielsen (DAWR – AGM policy) Sanjay Boothalingam (DAWR – MARS) Dave Ryan (DAWR) Dominic Musolino (DAWR) For more information, please email

[email protected]


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