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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
Integrated Delivery Planning And Scheduling Built On Cluster
Analysis And Simulation Optimisation |
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Authors: |
Galina Merkuryeva |
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Published in:
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(2012).ECMS
2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann. European
Council for Modeling and Simulation. doi:10.7148/2012 ISBN:
978-0-9564944-4-3 26th
European Conference on Modelling and Simulation, Shaping reality through simulation Koblenz,
Germany, May 29 – June 1 2012 |
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Citation
format: |
Merkuryeva, G. (2012). Integrated Delivery
Planning And Scheduling Built On Cluster Analysis And Simulation Optimisation. ECMS 2012 Proceedings edited by: K. G. Troitzsch, M. Moehring, U. Lotzmann (pp. 164-168).
European Council for Modeling and Simulation. doi:10.7148/2012-0164-0168 |
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DOI: |
http://dx.doi.org/10.7148/2012-0164-0168 |
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Abstract: |
Integrated solutions for product
delivery planning and scheduling in distribution centres
are proposed and built on a cluster analysis and simulation optimisation methodology. A cluster analysis of product
demand data of stores is used to identify typical dynamic demand patterns and
product delivery tactical plans. Further, simulation optimisation
techniques are applied to find optimal parameters of product transportation
and vehicle delivery schedules. In the paper, a cluster analysis of the
demand data by using the K-means clustering algorithm and silhouette plots
mean values is performed, and an NBTree-based
classification model is built. In order to define optimal parameters of
vehicle schedules, a genetic algorithm is applied and interacts with a
discrete-event simulation transportation model built in AnyLogic
simulation environment. Integrated solutions are illustrated and adjusted to
a specific business case. |
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