Ant Colony Optimization For Split Delivery Inventory Routing Problem

A one-to-many inventory routing problem (IRP) network comprising of a warehouse and geographically dispersed customers is studied in this paper. A fleet of a homogeneous vehicle located at the warehouse transports multi products from the warehouse to meet customer's demand on time in a finite p...

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Main Authors: Wong, Lily, Moin, Noor Hasnah
Format: Article
Published: Faculty of Computer Science and Information Technology, University of Malaya 2017
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author Wong, Lily
Moin, Noor Hasnah
author_facet Wong, Lily
Moin, Noor Hasnah
author_sort Wong, Lily
collection UM
description A one-to-many inventory routing problem (IRP) network comprising of a warehouse and geographically dispersed customers is studied in this paper. A fleet of a homogeneous vehicle located at the warehouse transports multi products from the warehouse to meet customer's demand on time in a finite planning horizon. We allow the customers to be visited more than once in a given period (split delivery) and the demand for each product is deterministic and time varying. Backordering is not allowed. The problem is formulated as a mixed integer programming problem and is solved using CPLEX 12.4 to get the lower and upper bound (the best integer solution) for each problem considered. We propose a modified ant colony optimization (ACO) which takes into account not only the distance but also the inventory that is vital in the IRP. We also carried the sensitivity analysis on important parameters that influence decision policy in ACO in order to choose the appropriate parameter settings. The computational results show that ACO performs better on large instances compared to the upper bound and performs equally well for small and medium instances. The modified ACO requires relatively short computational time.
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spelling um.eprints-227942019-10-22T03:18:23Z http://eprints.um.edu.my/22794/ Ant Colony Optimization For Split Delivery Inventory Routing Problem Wong, Lily Moin, Noor Hasnah Q Science (General) QA Mathematics A one-to-many inventory routing problem (IRP) network comprising of a warehouse and geographically dispersed customers is studied in this paper. A fleet of a homogeneous vehicle located at the warehouse transports multi products from the warehouse to meet customer's demand on time in a finite planning horizon. We allow the customers to be visited more than once in a given period (split delivery) and the demand for each product is deterministic and time varying. Backordering is not allowed. The problem is formulated as a mixed integer programming problem and is solved using CPLEX 12.4 to get the lower and upper bound (the best integer solution) for each problem considered. We propose a modified ant colony optimization (ACO) which takes into account not only the distance but also the inventory that is vital in the IRP. We also carried the sensitivity analysis on important parameters that influence decision policy in ACO in order to choose the appropriate parameter settings. The computational results show that ACO performs better on large instances compared to the upper bound and performs equally well for small and medium instances. The modified ACO requires relatively short computational time. Faculty of Computer Science and Information Technology, University of Malaya 2017 Article PeerReviewed Wong, Lily and Moin, Noor Hasnah (2017) Ant Colony Optimization For Split Delivery Inventory Routing Problem. Malaysian Journal of Computer Science, 30 (4). pp. 333-348. ISSN 0127-9084, DOI https://doi.org/10.22452/mjcs.vol30no4.5 <https://doi.org/10.22452/mjcs.vol30no4.5>. https://doi.org/10.22452/mjcs.vol30no4.5 doi:10.22452/mjcs.vol30no4.5
spellingShingle Q Science (General)
QA Mathematics
Wong, Lily
Moin, Noor Hasnah
Ant Colony Optimization For Split Delivery Inventory Routing Problem
title Ant Colony Optimization For Split Delivery Inventory Routing Problem
title_full Ant Colony Optimization For Split Delivery Inventory Routing Problem
title_fullStr Ant Colony Optimization For Split Delivery Inventory Routing Problem
title_full_unstemmed Ant Colony Optimization For Split Delivery Inventory Routing Problem
title_short Ant Colony Optimization For Split Delivery Inventory Routing Problem
title_sort ant colony optimization for split delivery inventory routing problem
topic Q Science (General)
QA Mathematics
work_keys_str_mv AT wonglily antcolonyoptimizationforsplitdeliveryinventoryroutingproblem
AT moinnoorhasnah antcolonyoptimizationforsplitdeliveryinventoryroutingproblem