Science and Technology Production
Book Chapter
Authorship
V. Cafaro
;
D. Cafaro
;
C.A. Méndez
;
J. Cerdá
Date
2010
Publishing House and Editing Place
Edit. by B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, (2010)
Book
Proceedings of the 2010 Winter Simulation Conference
(pp. 1838-1846)
Edit. by B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, (2010)
Edit. by B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, (2010)
ISBN
978-1-4244-9864-2
Summary
Information provided by the agent in
SIGEVA
The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to perform this activity in a reliable and costeffective manner. This work presents a novel discrete event simulation system developed on Arena® for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connect a single input station to several receiving terminals. The pipeline is modeled as a non-t...
The management of oil-product pipelines represents a critical task in the daily operation of petroleum supply chains. Efficient computational tools are needed to perform this activity in a reliable and costeffective manner. This work presents a novel discrete event simulation system developed on Arena® for the detailed scheduling of a multiproduct pipeline consisting of a sequence of pipes that connect a single input station to several receiving terminals. The pipeline is modeled as a non-traditional multi-server queuing system involving a number of servers at every pipe-end that perform their tasks in a synchronized manner. Based on priority rules, the model decides which server should dispatch the entity waiting for service to the associated depot. Each priority rule can lead to a different delivery schedule, which is evaluated by using several criteria. Combined with optimization tools, the proposed simulation technique permits to easily manage real-world pipelines operations with low computational effort.
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Key Words
SchedulingPipelines operationDiscrete-event simulationArena Software