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Distributed optimisation method for multi-resource constrained scheduling in coal supply chains

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Title Distributed optimisation method for multi-resource constrained scheduling in coal supply chains
 
Creator THOMAS, A
SINGH, G
KRISHNAMOORTHY, M
VENKATESWARAN, J
 
Subject distributed optimisation
integrated scheduling
coal logistics
resource constrained scheduling
Wedelin algorithm
MODELS
ALGORITHM
SYSTEMS
 
Description We consider an integrated planning and scheduling problem motivated by the coal supply chains in Australia. The problem considers production planning of several independent mines. The mines need trains to complete delivery of coal by the arrival of ships at the terminal. The trains, on the other hand, are in limited supply and therefore the mines need to share this common resource. For this problem, we present a mixed integer programming formulation which minimises total weighted earliness, tardiness and operational costs. We also present a distributed algorithm based on the Lagrangian relaxation, which incorporates the volume and Wedelin algorithms. The strength of our distributed algorithm is demonstrated by an extensive computational experiment on several randomly generated instances.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2014-10-14T17:04:14Z
2014-10-14T17:04:14Z
2013
 
Type Article
 
Identifier INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 51(9)2740-2759
http://dx.doi.org/10.1080/00207543.2012.737955
http://dspace.library.iitb.ac.in/jspui/handle/100/14521
 
Language en