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Enhancing Australian Agriculture Supply Chain Performance through Data Driven Decision Making

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Funded PhD Project (Students Worldwide)
    Funded PhD Project (Students Worldwide)

About This PhD Project

Project Description

Agriculture is a key sector in Australia economy. After coal exports, agriculture products have highest share of export in Australia. Agriculture supply chain encompass farmers, processors, warehouses, distributers (logistics companies) and retailers. Increasing efficiency in agriculture supply chain through supply chain integration and collaboration is receiving high attentions in the recent years.

In the College of Business at RMIT, we are developing innovative optimisation tools and applications to help improve the efficiency of the agriculture supply chain by considering all parties including government, farmers, intermediates (processors, distributors and retailers) and consumers. Our approach is based on data-driven methodologies to carr state of art and cutting-edge research that impact the Australian economy and Australian community. To establish our reputation in agriculture supply chain modelling we have identified the following two key projects for the next three years:
•Organic agriculture supply chain modelling
•Farmgate pricing modelling in agriculture

Research Question

•How the efficiency of organic supply chain can be improved with the aim of data driven decision making?
•How data driven decision making can result in more efficient farmgate pricing of agriculture commodities to ensure the sustainability and resiliency of the supply chain?

Research Problem

Effective and efficient data driven decision-making models are needed to improve the efficiency of the agriculture
supply chain. In this project we look at the modelling of the farmgate price that leads to a sustainable supply chain. The current pricing model is not considering the data and the suitability of the supply chain and it often negatively impacts on farmers or processor, or distributors or consumers. In addition, in this project we provide data driven decision models that help to improve the efficiency of organic agriculture supply chain that is expanding and taking a large share of the market.

Proposed Outcome

This project will generate innovative market solutions to promote efficiency and suitability of the agriculture supply
chain. The decision support tools are developed that can be calibrated to an agriculture system and can be used by agriculture supply chain decision makers as well policy makers at different levels of government.

C. Proposed Postgraduate Research Programme

School: School of Business IT and Logistics
Program name: PhD (Supply Chain Management)
Course code: DR202
Enabling Capability Platform (ECP) Alignment : Global Business Innovation

Related Subjects

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