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Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission

The advancement of supply chain network design in reverse logistics is gaining interest from the industries. In recent years, the multi-objective framework of the problem has been widely studied by researchers. This paper integrates three different levels of decision planning in supply chain network...

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Main Authors: F., Misni, L. S., Lee, N. I., Jaini
Format: Conference or Workshop Item
Language:English
Published: IOP Publishing Ltd 2021
Subjects:
Q Science (General)
QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/35378/1/Multi-objective%20hybrid%20harmony%20search-simulated%20annealing%20for%20location-inventory-routing%20problem%20in%20supply%20chain%20network.pdf
http://umpir.ump.edu.my/id/eprint/35378/
https://doi.org/10.1088/1742-6596/1988/1/012054
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spelling my.ump.umpir.353782022-10-31T02:35:14Z http://umpir.ump.edu.my/id/eprint/35378/ Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission F., Misni L. S., Lee N. I., Jaini Q Science (General) QA Mathematics QA75 Electronic computers. Computer science QA76 Computer software T Technology (General) The advancement of supply chain network design in reverse logistics is gaining interest from the industries. In recent years, the multi-objective framework of the problem has been widely studied by researchers. This paper integrates three different levels of decision planning in supply chain network design: location-allocation problem for strategic planning, inventory planning management for tactical planning, and vehicle routing for operational planning. A location-inventory-routing problem based on the economic production quantity model with environmental concerns is considered. This study aims to minimise the total cost of operating facilities, inventory and distance travelled by the vehicles as the first objective while minimising the CO2 emission cost as the second objective. Due to the complexity of the problem, a non-dominated sorting and ranking procedure is applied into a Multi-Objective Hybrid Harmony Search-Simulated Annealing (MOHS-SA) algorithm to find the trade-off between these two objectives. Computational experiments on the benchmark instances indicate that the proposed MOHS-SA algorithm can produce well-distributed Pareto-optimal solutions for multi-objective problems. IOP Publishing Ltd 2021-08-17 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/35378/1/Multi-objective%20hybrid%20harmony%20search-simulated%20annealing%20for%20location-inventory-routing%20problem%20in%20supply%20chain%20network.pdf F., Misni and L. S., Lee and N. I., Jaini (2021) Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission. In: Journal of Physics: Conference Series, Simposium Kebangsaan Sains Matematik ke-28 (SKSM28), 28-29 July 2021 , Kuantan, Pahang, Malaysia. pp. 1-16., 1988 (012054). ISSN 1742-6588 https://doi.org/10.1088/1742-6596/1988/1/012054
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic Q Science (General)
QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
spellingShingle Q Science (General)
QA Mathematics
QA75 Electronic computers. Computer science
QA76 Computer software
T Technology (General)
F., Misni
L. S., Lee
N. I., Jaini
Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
description The advancement of supply chain network design in reverse logistics is gaining interest from the industries. In recent years, the multi-objective framework of the problem has been widely studied by researchers. This paper integrates three different levels of decision planning in supply chain network design: location-allocation problem for strategic planning, inventory planning management for tactical planning, and vehicle routing for operational planning. A location-inventory-routing problem based on the economic production quantity model with environmental concerns is considered. This study aims to minimise the total cost of operating facilities, inventory and distance travelled by the vehicles as the first objective while minimising the CO2 emission cost as the second objective. Due to the complexity of the problem, a non-dominated sorting and ranking procedure is applied into a Multi-Objective Hybrid Harmony Search-Simulated Annealing (MOHS-SA) algorithm to find the trade-off between these two objectives. Computational experiments on the benchmark instances indicate that the proposed MOHS-SA algorithm can produce well-distributed Pareto-optimal solutions for multi-objective problems.
format Conference or Workshop Item
author F., Misni
L. S., Lee
N. I., Jaini
author_facet F., Misni
L. S., Lee
N. I., Jaini
author_sort F., Misni
title Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
title_short Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
title_full Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
title_fullStr Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
title_full_unstemmed Multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with CO2 emission
title_sort multi-objective hybrid harmony search-simulated annealing for location-inventory-routing problem in supply chain network design of reverse logistics with co2 emission
publisher IOP Publishing Ltd
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/35378/1/Multi-objective%20hybrid%20harmony%20search-simulated%20annealing%20for%20location-inventory-routing%20problem%20in%20supply%20chain%20network.pdf
http://umpir.ump.edu.my/id/eprint/35378/
https://doi.org/10.1088/1742-6596/1988/1/012054
_version_ 1748180695115628544
score 13.211869

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