Preventative maintenance of straddle carriers
Preventative maintenance of straddle carriers
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.
169-178
Li, S.
be6d14e4-0c49-47a8-a6e0-1c99a64e1024
Hathaway, T.
36e537a4-661c-4179-92e8-850b0607a1ef
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Marshall, A.
93aa95a2-c707-4807-8eaa-1de3b994b616
30 April 2015
Li, S.
be6d14e4-0c49-47a8-a6e0-1c99a64e1024
Hathaway, T.
36e537a4-661c-4179-92e8-850b0607a1ef
Wu, Y.
e279101b-b392-45c4-b894-187e2ded6a5c
Marshall, A.
93aa95a2-c707-4807-8eaa-1de3b994b616
Li, S., Hathaway, T., Wu, Y. and Marshall, A.
(2015)
Preventative maintenance of straddle carriers.
Journal of Transport and Supply Chain Management, 9 (1), .
(doi:10.4102/jtscm.v9i1.169).
Abstract
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.
More information
Published date: 30 April 2015
Organisations:
Centre of Excellence in Decision, Analytics & Risk Research
Identifiers
Local EPrints ID: 374402
URI: http://eprints.soton.ac.uk/id/eprint/374402
PURE UUID: efbf3f69-55fb-43a0-a4cf-7e72d95c8cc0
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Date deposited: 17 Feb 2015 13:37
Last modified: 15 Mar 2024 03:33
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Contributors
Author:
S. Li
Author:
T. Hathaway
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