Firefly Algorithm with Tabu Search to Solve the Vehicle Routing Problem with Minimized Fuel Emissions: Case Study of Canned Fruits Transport

Paisarnvirosrak Nattapol () and Rungrueang Phornprom ()
Additional contact information
Paisarnvirosrak Nattapol: Naresuan University, Faculty of Logistics and Digital Supply Chain, Phitsanulok, Thailand
Rungrueang Phornprom: Kasetsart University, Faculty of Management Sciences, Chon Buri, Thailand

LOGI – Scientific Journal on Transport and Logistics, 2023, vol. 14, issue 1, 263-274

Abstract: Nowadays, logistics is used to assess economic growth and address energy consumption and environmental problems. Optimizing collection and delivery routes reduces fuel consumption and cost, thereby minimizing greenhouse gas (GHG) emissions. The vehicle routing problem with time windows (VRPTW) is addressed to identify routes that minimize total transportation costs, fuel consumption, and GHG emissions based on collection and delivery activities. Firefly Algorithm (FA) integrated with Tabu Search (TS) as (FATS) was proposed within the case study concerning canned fruit transport. The results showed that the proposed method outperformed the existing approaches and reduced the fuel consumption from 31,286 to 26,314 litres per year. The proposed algorithm also reduced the number of used vehicles from seven to six, as five 6-wheel trucks and one 4-wheel truck, with transportation cost reduced from 1,061,851 to 893,108 Baht per year, as well as greenhouse gas emissions, which were reduced from 90,730 to 76,312 kg CO2 per year.

Keywords: Green vehicle routing problem time window; collection and delivery vehicle routing problem; perishable vehicle routing problem; firefly algorithm; tabu search (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/logi-2023-0024 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:logitl:v:14:y:2023:i:1:p:263-274:n:13

DOI: 10.2478/logi-2023-0024

Access Statistics for this article

LOGI – Scientific Journal on Transport and Logistics is currently edited by Rudolf Kampf

More articles in LOGI – Scientific Journal on Transport and Logistics from Sciendo
Bibliographic data for series maintained by Peter Golla ().