Toronto Metropolitan University
Demir, Mehmet.pdf (7.43 MB)

Blockchain-Based Delivery Assurance

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posted on 2021-12-20, 16:57 authored by Mehmet Demir
Climate-related catastrophes and wars are leaving people in need of aid. The main obstacle in providing help to people in need is the lack of trust in aid processes. Donors and charity organizations want to make sure that funds and materials gathered reach the intended destinations. The lack of proof leads to a general sentiment of waste, corruption and misuse, which undermines aid efforts. Blockchain technology injects trust into the business transactions through impeccable record keeping and fulfils the lack of trust problem in aid delivery. However, our review of relevant literature indicates that a delivery assurance framework that covers major aspects of providing a blockchain-based solution to aid delivery is absent.
In this thesis, we propose a novel blockchain-based transparent delivery framework for creating solutions that record and share data on the interaction of business participants involved in a delivery process. This framework is novel as it creates solutions that include handover and monitoring aspects of the delivery business and adds several benefits that come with the blockchain technology. This delivery assurance framework also provides complete guidance as it answers several key questions such as “How can we use blockchain technology to solve problems?” and “How can we make sure the solutions are financially viable and acceptable?”
Our simulation study validates the applicability of our framework and the solution we created using the framework. Further, the validation we received from an industry expert strongly suggests that a solution developed with our framework is applicable in industry. This thesis presents the development of the framework along with details on the design and execution of our simulations, including the raw data, data enhancement processes, tools, data structures, smart contract code, load testing methodology and the eventual analysis of the simulation results.





  • Doctor of Philosophy


  • Computer Science

Granting Institution

Ryerson University

LAC Thesis Type

  • Dissertation

Thesis Advisor

Alex Ferworn Ozgur Turetken