A Novel Green Logistics Technique for Planning Merchandise Deliveries: A Case Study

Carlos Hernández-Mejía (), Delia Torres-Muñoz, Everardo Inzunza-González, Carlos Sánchez-López and Enrique Efrén García-Guerrero
Additional contact information
Carlos Hernández-Mejía: Subdirección de Posgrados e Investigación, Instituto Tecnológico Superior de Misantla, Km. 1.8 Carretera a Loma del Cojolite, Misantla 93821, Mexico
Delia Torres-Muñoz: Instituto Tecnológico Superior de San Martín Texmelucan, Camino a Barranca de Pesos S/N, San Martín Texmelucan 74120, Mexico
Everardo Inzunza-González: Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana No. 3917, Ensenada 22860, Mexico
Carlos Sánchez-López: Department of Electronics, Autonomous University of Tlaxcala, Av. Universidad No. 1, Tlaxcala 90070, Mexico
Enrique Efrén García-Guerrero: Facultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Carretera Transpeninsular Ensenada-Tijuana No. 3917, Ensenada 22860, Mexico

Logistics, 2022, vol. 6, issue 3, 1-19

Abstract: Background: The health crisis due to COVID-19 has changed the habits of social coexistence and therefore has had a significant impact on several economic sectors, including logistics. Nowadays, this sector faces one of the most difficult challenges in history and hence has carried out innovative strategies to adjust to the new normal and guarantee the permanence of the supply chain. In this paper, a novel green logistics technique for planning merchandise deliveries is introduced herein. Methods : This technique is based on a modified version of the Resistive Grid Path Planning Methodology (RGPPM) to establish a path through georeferential locations for delivering merchandise to customers. To do this, multi-connected resistive grids are based at customer locations for searching the path connecting the positions through electronic circuit analysis techniques. Results : Experimental results reveal that the proposed method can find a minimum spanning tree that connects all hand-over points by a continuous path. This finding has represented a reduction of around 45% in the length of the path with respect to the longest path. Conclusions : Finally, this technique is capable of addressing different optimization strategies, locating a merchandise distribution center and exploring environmental standards to reduce fuel consumption.

Keywords: logistics; green logistics; RGPPM algorithm; path planning (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2305-6290/6/3/59/pdf (application/pdf)
https://www.mdpi.com/2305-6290/6/3/59/ (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:gam:jlogis:v:6:y:2022:i:3:p:59-:d:888778

Access Statistics for this article

Logistics is currently edited by Ms. Mavis Li

More articles in Logistics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().