Research Objective:
In a sustainable multi-echelon supply chain, green technology investment is necessary to make the production process cleaner and limit the emission of carbon. This green technology investment is linked with a dynamic shipping technique based on the customers' stock and freshness index-dependent demand. The variability of the lead-time with options of eco-friendly vehicle selection is one of the main objectives of this PhD. However, no such study on a multi-echelon supply chain model can simultaneously analyse the linking of carbon footprint and numerous marketing policies where the production process is imperfect. To ensure the resiliency of the chain in terms of transportation disruption and machine breakdown some alternatives has been suggested in this study.
Expected Outcome:
This project will provide some carbon-efficient economic sustainable models capable of minimising carbons and maximising the chain's profit. It also offered some managerial implications about how and how one can use carbon offset significantly to reduce carbon emissions. This project will show the impact of marketing strategies on profit maximisation and relate to the carbon footprint and its consequences. Minimising carbon emissions within the boundary of sustainability and resiliency by linking with variable lead-time, dynamic shipping techniques, and options to choose the best green vehicle will significantly contribute to this project.
Project date: started on May 2021, expecting to submit the thesis in May 2025.
Student: Abu Hashan Md Mashud
Supervisors: Ripon K CHakrabortty and Omar K Hussain
