Universiti Teknologi Malaysia Institutional Repository

Inventory routing problem with carbon emission consideration

Bazilah Aziz, Nur Arina and Choong, Jing Yee (2019) Inventory routing problem with carbon emission consideration. MATEMATIKA, 35 (April). pp. 39-49. ISSN 0127-9602


Official URL: https://dx.doi.org/10.11113/matematika.v35.n1.1127


Inventory Routing Problem (IRP) has been continuously developed and im- proved due to pressure from global warming issue particularly related to greenhouse gases (GHGs) emission. The burning of fossil fuel for transportations such as cars, trucks, ships, trains, and planes primarily emits GHGs. Carbon dioxide (CO2) from burning of fossil fuel to power transportation and industrial process is the largest contributor to global GHGs emission. Therefore, the focus of this study is on solving a multi-period inventory routing problem (MIRP) involving carbon emission consideration based on carbon cap and offset policy. Hybrid genetic algorithm (HGA) based on allocation first and routing second is used to compute a solution for the MIRP in this study. The objective of this study is to solve the proposed MIRP model with HGA then validate the effectiveness of the proposed HGA on data of different sizes. Upon validation, the proposed MIRP model and HGA is applied on real-world data. The HGA is found to be able to solve small size and large size instances effectively by providing near optimal solution in relatively short CPU execution time.

Item Type:Article
Uncontrolled Keywords:Inventory routing problem; carbon emission; genetic algorithms
Subjects:Q Science > QA Mathematics
ID Code:84838
Deposited By: Fazli Masari
Deposited On:29 Feb 2020 12:39
Last Modified:29 Feb 2020 12:39

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