Title: Integrated planning and scheduling built on cluster analysis and simulation optimisation

Authors: Galina Merkuryeva; Vitaly Bolshakov

Addresses: Department of Modelling and Simulation, Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia ' Department of Modelling and Simulation, Riga Technical University, 1 Kalku Street, Riga, LV-1658, Latvia

Abstract: This paper proposes integrated solutions for product delivery planning and scheduling in distribution centres. Cluster analysis, computer simulation and metaheuristic optimisation are applied to improve planning decisions at tactical and operational levels. An integrated approach to product delivery planning and scheduling built on integration of these technologies is described. A cluster analysis of product demand data of stores is used to identify typical dynamic demand patterns and associated product delivery tactical plans. Customer regional clusters are built through multi-objective optimisation. Metaheuristic optimisation techniques are applied to define optimal parameters of product transportation and delivery schedules. Here, vehicle scheduling is performed for the routed solution. Integrated solutions are illustrated and adjusted to a specific business case.

Keywords: tactical planning; cluster analysis; simulation; multi-objective optimisation; metaheuristics; vehicle routing; vehicle scheduling; distribution centres; product delivery; dynamic demand patterns; regional clusters.

DOI: 10.1504/IJSPM.2014.061450

International Journal of Simulation and Process Modelling, 2014 Vol.9 No.1/2, pp.81 - 91

Received: 06 Feb 2013
Accepted: 01 Dec 2013
Published online: 11 Oct 2014 *

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