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Developing IT-enabled performance monitoring system for green logistics: A case study

Chhabra, Deepti; Singh, Rajesh Kr; Kumar, Vikas

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Authors

Deepti Chhabra

Rajesh Kr Singh



Abstract

Purpose – Logistics companies are compelled to improve their efficiency and the environmental performance by introducing the green concept in their operations. The main purpose of the paper is to have continuous monitoring and tracking of logistics operations to enhance the green performance.
Design/methodology/approach – This research uses a case study approach. It illustrates a monitoring system to digitize the logistics activities by sending real-time GPS data to the server and capture the surrounding pictures with the help of the Internet of things (IoTs) based camera. Data generated through digitization is mathematically analyzed for ensuring a green logistic system. The alerts due to the halts, help in keeping a check on fuel consumption, carbon emissions, and security of logistics. Performance indicators such as carbon emissions and the value of travel time saving (VTTS) are selected for the study.
Findings -The findings of the study show that the actual travel time and distances are higher than the estimated travel time and distances. It also reveals that actual travel routes with diversions involve a considerably higher amount of carbon emissions during all sample travels. The results indicate a considerable saving in terms of carbon emissions, time and cost savings by effective practices of Green Logistics in Monitoring system (MSGL). These findings can help the top management of logistics companies in formulating effective strategies for technology applications in logistic operations to ensure green performance.
Research limitations/implications –The study has been carried out under certain set of conditions, which may vary depending upon the organizations. Also certain more environmental dimensions for performance monitoring can be used as a future scope of study. Further studies also need to be carried out to widen the scope of the MSGL model at a global level rather than only at local level.
Originality/value – Any organization which deploys transportation as part of their activity can use this MSGL model and then do the mathematical analysis to reduce the CO2 emissions, reduce the time and extra cost. The value of this study lies in the fact that Govt is trying different methods and models to reduce pollution. This MSGL should be made compulsory by the govt. as a part of their policies for environment of the country.

Citation

Chhabra, D., Singh, R. K., & Kumar, V. (2022). Developing IT-enabled performance monitoring system for green logistics: A case study. International Journal of Productivity and Performance Management, 71(3), 775-789. https://doi.org/10.1108/IJPPM-12-2020-0678

Journal Article Type Article
Acceptance Date Mar 7, 2021
Online Publication Date Jun 7, 2021
Publication Date Feb 15, 2022
Deposit Date Mar 7, 2021
Publicly Available Date Mar 29, 2024
Journal International Journal of Productivity and Performance Management
Print ISSN 1741-0401
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 71
Issue 3
Pages 775-789
DOI https://doi.org/10.1108/IJPPM-12-2020-0678
Keywords Green Logistics; Monitoring system for green logistics (MSGL); Internet of things (IoTs); Global Positioning System (GPS); Carbon emission; Travel time saving (VTTS
Public URL https://uwe-repository.worktribe.com/output/7190251

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This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.


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http://creativecommons.org/licenses/by-nc/4.0/

Copyright Statement
This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.







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