Original Research

Preventative maintenance of straddle carriers

Si Li, Tim Hathaway, Yue Wu, Udechukwu Ojiako, Alasdair Marshall
Journal of Transport and Supply Chain Management | Vol 9, No 1 | a169 | DOI: https://doi.org/10.4102/jtscm.v9i1.169 | © 2015 Si Li, Tim Hathaway, Yue Wu, Udechukwu Ojiako, Alasdair Marshall | This work is licensed under CC Attribution 4.0
Submitted: 15 December 2014 | Published: 30 April 2015

About the author(s)

Si Li, School of Mathematics, University of Southampton, United Kingdom
Tim Hathaway, APM Terminals AME, Dubai, United Arab Emirates
Yue Wu, School of Business, University of Southampton, United Kingdom
Udechukwu Ojiako, Faculty of Business, British University in Dubai, United Arab Emirates; Hull University Business School, University of Hull, United Kingdom
Alasdair Marshall, School of Business, University of Southampton, United Kingdom

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Background: Robotic vehicles such as straddle carriers represent a popular form of cargo handling amongst container terminal operators.

Objectives: The purpose of this industry-driven study is to model preventative maintenance (PM) influences on the operational effectiveness of straddle carriers.

Method: The study employs historical data consisting of 21 273 work orders covering a 27-month period. Two models are developed, both of which forecast influences of PM regimes for different types of carrier.

Results: The findings of the study suggest that the reliability of the straddle fleet decreases with increased intervals of PM services. The study also finds that three factors – namely resources, number of new straddles, and the number of new lifting work centres – influence the performances of straddles.

Conclusion: The authors argue that this collaborative research exercise makes a significant contribution to existing supply chain management literature, particularly in the area of operations efficiency. The study also serves as an avenue to enhance relevant management practice.


Maintenance; Scheduling; Planning; Reliability


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