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A simulated annealing algorithm to solve the log-truck scheduling problem


Acuna, M and Ghaffariyan, MR and Mirowski, L and Brown, M, A simulated annealing algorithm to solve the log-truck scheduling problem, Proceedings of the 2014 Precision Forestry Symposium, 3-5 March 2014, Stellenbosch, South Africa, pp. 44-46. ISBN 978-0-7972-1472-9 (2014) [Refereed Conference Paper]

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Copyright 2014 The Authors

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In this paper, we present a simulated annealing (SA) approach for solving the log-truck scheduling problem, which is an extension of the timber transport vehicle routing problem with time windows (TTVRPTW). The problem is characterised by a heterogeneous fleet of trucks that depart from their corresponding depots and must perform a number of daily transport tasks to move log products between wood pickup (harvest areas) locations and industrial customers, such as pulpmills and sawmills. Commencing at their depots, each truck must perform a number of successive transport tasks, each one charaterised by a trip between a designated harvest area and an industrial customer, until the number of daily working hours is completed (Karanta 2000, Audy et al. 2012). The objective of the model is to minimise total empty travel time for the whole fleet as well as waiting times at wood pickup locations. In addition, time windows and accessibility to harvest areas and customers, must be taken into account.

Item Details

Item Type:Refereed Conference Paper
Keywords:logistics, supply chains, transport
Research Division:Information and Computing Sciences
Research Group:Cybersecurity and privacy
Research Field:Cybersecurity and privacy not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Mirowski, L (Dr Luke Mirowski)
ID Code:112408
Year Published:2014
Deposited By:Engineering
Deposited On:2016-11-09
Last Modified:2018-03-18

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