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The Design of Stacking Yards Management of The Early Warning System Model: A case study in Jakarta International Container Terminal, Indonesia
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As a part of the Indonesia-National Logistics
System, Jakarta International Container Terminal
(JITC), facing a long dwell time (DT) which impacts to
high yard occupancy ratio (YOR). This is happened
because of the long necessary documents of clearance
processing time, the limited yard provided, and the
owners preferring for storing their goods in the
terminal for cost reasons, etc. The objectives of this
research are to design an early warning system (EWS)
model to avoid YOR above the normal by using
adaptive neuro fuzzy inference system (ANFIS); be
found that EWS Model can use for prediction and
simulation YOR in the future therefore simplify to
manage of stacking yards and avoid losses. Another
finding from data and empirical fact be found that k
as a constanta influence YOR beside throughput
(container import total pass to the terminal) and dwell
time. Designing the inter-agency institutional
collaboration to apply the EWS model by using
interpretive Structural Modeling (ISM) with eight
elements; showing the main constrain in the
implementation of EWS is slow coordination among
departements and stakeholder affected by the EWS
progran are JICT and customs and formulating YOR
above normal mitigation strategy be found is easy to
be done. The primary data used are collected through
the in-depth interviews and the focus group
discussions with the multi-discipline experts. The
secondary data are collected from JITC daily
operations and from other supporting agencies. The
proposed model is validated, verified and tested. It
shows the promising results.
Arief Witjaksono - Personal Name
Marimin - Personal Name
Machfud - Personal Name
Sri Rahardjo - Personal Name
Marimin - Personal Name
Machfud - Personal Name
Sri Rahardjo - Personal Name
2050-7399
NONE
electronic file
English
International Journal of Supply Chain Management
2017
International Journal of Supply Chain Management
IJSCM, ISSN: 2050-7399 (Online), 2051-3771 (Print)
Copyright © ExcelingTechPub, UK (http://excelingtech.co.uk/)
Vol. 6, No. 1, March 2017
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