Dr. Sushma Kumari S.Kumari@hull.ac.uk
Senior Lecturer and Programme Director- MSc Logistics and Supply Chain Management and Education Lead Logistics and Supply Chain Management
Dr. Sushma Kumari S.Kumari@hull.ac.uk
Senior Lecturer and Programme Director- MSc Logistics and Supply Chain Management and Education Lead Logistics and Supply Chain Management
There is increased interest in the e-commerce parcel industry to reduce carbon-based energy consumption as well as the greenhouse gas emissions associated with the purchase. However, there has been a general lack of holistic frameworks that integrate different supply chain models for low carbon supply chain decision making.
In this project, primary data will be collected through interviews with the iParcelBox management team, their extended supply chain partners (including logistics providers) and public data sources (including ONS data). Based on collected data we will create a model to calculate and compare the expected CO2 emissions per parcel delivery for an at-home delivery and 3 out of home scenarios of varying average travel distance from the home. The research will consider relative impact of the model on urban, suburban and rural locations.
The main objectives of the project are:
• To calculate the average expected carbon emissions associated with an at-home parcel delivery by a logistics provider
• To calculate the carbon emissions associated with logistics provider delivering parcels to a central locker or pick-up point
• To calculate the carbon emissions associated with customers collecting parcels from a central locker or pick-up point.
• To suggest the most appropriate parcel delivery option for customers to minimize carbon emissions.
Project Acronym | carbon emission, e- commerce |
---|---|
Status | Project Complete |
Value | £9,369.00 |
Project Dates | May 1, 2021 - Apr 30, 2022 |
ECPE PPF: A Decision Support System for tracking, reporting and visualising plastic waste Dec 1, 2019 - Sep 30, 2020
QR GCRF 2019 RF: Improving efficiency and reducing waste in Indonesian beef supply chain Feb 28, 2019 - Jul 31, 2019
Indonesia with its population of 267 million people ranked fourth within the list of most populated countries in the world. Although known as a country of archipelago accounting for more than 13,600 islands, 60% of its population resides in the islan...
Read More about QR GCRF 2019 RF: Improving efficiency and reducing waste in Indonesian beef supply chain.
Blockchain enabled Cloud Computing based integrated Carbon Calculator (Be4C) Sep 1, 2022 - Dec 31, 2023
KTP R4 2022-23 Adopting a Circular Economy Business Model for Resource Efficiency in ICT industry (ACE4ICT) Jul 3, 2023 - Jul 2, 2025
Techbuyer, winner of the Queen's award, is an innovative ICT company specialised in enterprise IT for the system-level data centre sector. It now seeks to use its expertise in data centre refurbishments to move into B2B electronic devices such as PC...
Read More about KTP R4 2022-23 Adopting a Circular Economy Business Model for Resource Efficiency in ICT industry (ACE4ICT).
A dynamic machine learning systems for standard Occupational Classification (SOC) code for UK Immigration Law Industry Oct 1, 2022 - Jan 31, 2023
In 2022, 1.1 million visas granted for people to come and live in the UK. Standard Occupational Classification (SOC) codes are four-digit numbers used to classify jobs in the UK. SOC code allows UK Visas and Immigration (UKVI) to understand the type...
Read More about A dynamic machine learning systems for standard Occupational Classification (SOC) code for UK Immigration Law Industry.
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search