Green inventory routing problem using hybrid genetic algorithm / Huda Zuhrah Ab Halim ... [et al.]

Ab Halim, Huda Zuhrah and Mohd Azliana, Nureffa Natasha and Baharom, Nuridawati and Fauzi, Nur Fatihah and Ahmad Bakhtiar, Nurizatul Syarfinas and Khairudin, Nur Izzati (2021) Green inventory routing problem using hybrid genetic algorithm / Huda Zuhrah Ab Halim ... [et al.]. Journal of Computing Research and Innovation (JCRINN), 6 (4): 2. pp. 10-19. ISSN 2600-8793


Carbon dioxide (CO2) is known as one of the largest sources of global warming. One of the ways to curb CO2 emissions is by considering the environmental aspect in the supply chain management. This paper analyses the influence of carbon emissions on the Inventory Routing Problem (IRP). The IRP network consists of a depot, an assembly plant and multiple suppliers. The deterministic demands vary and are determined by the assembly plant. Fixed transportation cost, fuel consumption cost and inventory holding cost are used to evaluate the system’s total cost in which fuel consumption cost is determined by fuel consumption rate, distance, and fuel price. Backordering and split pick-up are not allowed. The main purpose of this study is to analyze the distribution network especially the overall costs of the supply chain by considering the CO2 emissions as well. The problem is known as Green Inventory Routing Problem (GIRP). The mixed-integer linear programming of this problem is adopted from Cheng et al. wherein this study a different Hybrid Genetic Algorithm is proposed at mutation operator. As predicted, GIRP has a higher total cost as it considered fuel consumption cost together with the transportation and inventory costs. The results showed the algorithm led to different sequences of routings considering the carbon dioxide emission in the objective function.


Item Type: Article
Email / ID Num.
Ab Halim, Huda Zuhrah
Mohd Azliana, Nureffa Natasha
Baharom, Nuridawati
Fauzi, Nur Fatihah
Ahmad Bakhtiar, Nurizatul Syarfinas
Khairudin, Nur Izzati
Subjects: Q Science > QA Mathematics > Evolutionary programming (Computer science). Genetic algorithms
T Technology > TD Environmental technology. Sanitary engineering > Environmental protection
Divisions: Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Journal of Computing Research and Innovation (JCRINN)
UiTM Journal Collections: UiTM Journal > Journal of Computing Research and Innovation (JCRINN)
ISSN: 2600-8793
Volume: 6
Number: 4
Page Range: pp. 10-19
Keywords: Green Inventory Routing Problem, Inventory Routing Problem, Hybrid Genetic Algorithm, Carbon emission, Genetic Algorithm
Date: 2021
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