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Improved Methods for Assessing Logistics Carbon Footprint

Pisal, Vishakha Chandrakant LU and Chang, Hengyuan LU (2023) MTTM02 20231
Production Management
Engineering Logistics
Abstract
Title: Improved Methods for Assessing Logistics Carbon Footprint

Supervisors: Jan Olhager, Department of Industrial Management and Logistics, Lund University and Magnus Gille, Senior solution Architect, Scania CV AB

Problem definition: Sustainability and carbon footprint assessment have gained importance, driven by customer demand and supply chain transparency. However, the involvement of multiple actors and complex supply chains poses challenges for accurate carbon calculations. Different organizations contribute to emissions, but their disparate assessment methods and lack of information sharing lead to duplication and oversight. Additionally, tracking individual parcel footprints becomes nearly impossible due to multiple stops and... (More)
Title: Improved Methods for Assessing Logistics Carbon Footprint

Supervisors: Jan Olhager, Department of Industrial Management and Logistics, Lund University and Magnus Gille, Senior solution Architect, Scania CV AB

Problem definition: Sustainability and carbon footprint assessment have gained importance, driven by customer demand and supply chain transparency. However, the involvement of multiple actors and complex supply chains poses challenges for accurate carbon calculations. Different organizations contribute to emissions, but their disparate assessment methods and lack of information sharing lead to duplication and oversight. Additionally, tracking individual parcel footprints becomes nearly impossible due to multiple stops and transfers.

Purpose: The main objective of the thesis is to identify the stakeholders and their methods for assessing the carbon footprint, and to propose an improved method with a higher resolution in a multi-actor, multi-pickup and drop logistics network.

Research questions:
RQ1: As part of the carbon footprint assessment throughout the supply chain, which organizations should be considered, and what factors are these organizations currently measuring?
RQ2: How can the methods be improved from the perspective of a supply chain as a whole?
RQ3: To what extent would the proposed higher resolution of carbon footprint analysis improve on extant methods for assessing the environmental impact of transports?

Method: The research approach followed is single-case study methodology. An abductive research approach is being followed based on the research questions developed and from the author's perspective. The data is collected through conducting interviews and reviewing the academic articles. To analyze the information collected, a balance scorecard analysis was performed.

Conclusion: This study evaluated different actors calculation methods, leading to the development of a generalized method with new factors, metrics, and parcel-based carbon accumulation with involvement of emerging technologies. The method highlights the importance of technology, visibility, and collaboration among actors. Future recommendations aim for even higher-resolution carbon calculations.

Keywords: Supply chain visibility, Blockchain, Bluetooth tag, Supply chain map, Carbon footprint assessment, Sustainability, Carbon emissions, Transportation, Automotive manufacturing (Less)
Popular Abstract
Global climate change is an alarming issue and there is a growing concern due to increased levels of greenhouse gas emissions such as carbon dioxide, methane, and nitrous oxide, resulting to rise the temperature of the earth approx. to 1.8–4.1°C by the end of the century. Carbon footprint is defined as the result of the emissions generated by an organization, product, event, or person. Like for example if a person takes a flight from Copenhagen’s Airport to Stockholm’s airport, per person traveling on that flight generates 68.4 kg C02, which would need approx. 1000 trees to offset the carbon footprint equivalent to the flight time. So customers are concerned about the carbon emissions generated per product including all the activities in... (More)
Global climate change is an alarming issue and there is a growing concern due to increased levels of greenhouse gas emissions such as carbon dioxide, methane, and nitrous oxide, resulting to rise the temperature of the earth approx. to 1.8–4.1°C by the end of the century. Carbon footprint is defined as the result of the emissions generated by an organization, product, event, or person. Like for example if a person takes a flight from Copenhagen’s Airport to Stockholm’s airport, per person traveling on that flight generates 68.4 kg C02, which would need approx. 1000 trees to offset the carbon footprint equivalent to the flight time. So customers are concerned about the carbon emissions generated per product including all the activities in the supply chain from purchasing to delivery and therefore claim the transparency to not encourage the non-sustainable practices. (Less)
Please use this url to cite or link to this publication:
author
Pisal, Vishakha Chandrakant LU and Chang, Hengyuan LU
supervisor
organization
course
MTTM02 20231
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Supply chain visibility, Blockchain, Bluetooth tag, Supply chain map, Carbon footprint assessment, Sustainability, Carbon emissions, Transportation, Automotive manufacturing
report number
5987
language
English
id
9118809
date added to LUP
2023-06-09 21:27:48
date last changed
2023-06-09 21:27:48
@misc{9118809,
  abstract     = {{Title: Improved Methods for Assessing Logistics Carbon Footprint

Supervisors: Jan Olhager, Department of Industrial Management and Logistics, Lund University and Magnus Gille, Senior solution Architect, Scania CV AB

Problem definition: Sustainability and carbon footprint assessment have gained importance, driven by customer demand and supply chain transparency. However, the involvement of multiple actors and complex supply chains poses challenges for accurate carbon calculations. Different organizations contribute to emissions, but their disparate assessment methods and lack of information sharing lead to duplication and oversight. Additionally, tracking individual parcel footprints becomes nearly impossible due to multiple stops and transfers.

Purpose: The main objective of the thesis is to identify the stakeholders and their methods for assessing the carbon footprint, and to propose an improved method with a higher resolution in a multi-actor, multi-pickup and drop logistics network.

Research questions: 
RQ1: As part of the carbon footprint assessment throughout the supply chain, which organizations should be considered, and what factors are these organizations currently measuring?
RQ2: How can the methods be improved from the perspective of a supply chain as a whole? 
RQ3: To what extent would the proposed higher resolution of carbon footprint analysis improve on extant methods for assessing the environmental impact of transports? 

Method: The research approach followed is single-case study methodology. An abductive research approach is being followed based on the research questions developed and from the author's perspective. The data is collected through conducting interviews and reviewing the academic articles. To analyze the information collected, a balance scorecard analysis was performed.

Conclusion: This study evaluated different actors calculation methods, leading to the development of a generalized method with new factors, metrics, and parcel-based carbon accumulation with involvement of emerging technologies. The method highlights the importance of technology, visibility, and collaboration among actors. Future recommendations aim for even higher-resolution carbon calculations.

Keywords: Supply chain visibility, Blockchain, Bluetooth tag, Supply chain map, Carbon footprint assessment, Sustainability, Carbon emissions, Transportation, Automotive manufacturing}},
  author       = {{Pisal, Vishakha Chandrakant and Chang, Hengyuan}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Improved Methods for Assessing Logistics Carbon Footprint}},
  year         = {{2023}},
}