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Authors: Seyed Farid Ghannadpour and Mohsen Hooshfar

Affiliation: MAPNA Co., Iran, Islamic Republic of

ISBN: 978-989-758-075-8

Keyword(s): Vehicle Routing Problem, Multi-Objective Optimization, Fuzzy Time Windows, Dynamic Request.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Industrial Engineering ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Methodologies and Technologies ; Operational Research ; Optimization ; OR in Transportation ; Pattern Recognition ; Routing ; Scheduling ; Software Engineering ; Symbolic Systems

Abstract: This paper studies the multi-objective dynamic vehicle routing and scheduling problem by using an evolutionary method. In this model, all data and information required to the routing process are not known before planning and they revealed dynamically during the routing process and the execution of the routes. Moreover, the model tries to characterize the customers’ satisfaction and the service level issues by applying the concept of fuzzy time windows. The proposed model is considered as a multi-objective problem where the overall travelling distance, fleet size and waiting time imposed on vehicles are minimized and the customers’ satisfaction or the service level of the supplier to customers is maximized. To solve this multi-objective model, an evolutionary algorithm is developed to obtain the Pareto solutions and its performance is analyzed on various test problems in the literature. The computational experiments on data sets represent the efficiency and effectiveness of the propose d approach. (More)

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Paper citation in several formats:
Farid Ghannadpour, S. and Hooshfar, M. (2015). Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level.In Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-075-8, pages 91-98. DOI: 10.5220/0005172600910098

@conference{icores15,
author={Seyed Farid Ghannadpour. and Mohsen Hooshfar.},
title={Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2015},
pages={91-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005172600910098},
isbn={978-989-758-075-8},
}

TY - CONF

JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Multi-objective Evolutionary Method for Dynamic Vehicle Routing and Scheduling Problem with Customers' Satisfaction Level
SN - 978-989-758-075-8
AU - Farid Ghannadpour, S.
AU - Hooshfar, M.
PY - 2015
SP - 91
EP - 98
DO - 10.5220/0005172600910098

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