Supply Chain Sustainment Research Group

Building and sustaining strategic capabilities through supply chain engagement

Australia relies on an intricate web of companies, organisations, and Government agencies to source, manage and govern the diverse range of products and services necessary for the functioning of the economy. It's therefore essential that Australia is at the forefront of supply chain research, education and community engagement.

Australia is often at the beginning of global supply chains, or at the end of them. Australia’s mining and agriculture industries often contribute initial inputs to a broader global supply chain while Australia’s need for manufactured goods, technology-based products, medicines, fast-moving consumer goods, some foods, and a variety of other consumer goods sees Australia rely on global supply chains. Australia also has important roles in manufacturing, research and development, and other activities that contribute to global supply chains.

Australia’s unique position can expose it to risk. This is evident when global events lead to shortages of major products or supplies. Difficulties in selling to overseas customers can also lead Australian suppliers to a position of difficulty. It is for these reasons that a robust understanding of supply chain is necessary.

Associated schools, institutes & centres

Impact

Our research is aimed at delivering:��

Skills

Consultancy, education and community management

Change

More effective supply change management

Outcomes

Discover, define, refine & understand supply chain issues and capabilities

Resources

Enhanced and integrated resources for supply chain sustainment

Our achievements

Vision

We help Defence, the public sector and private industry build and sustain capabilities that draw on supply chain engagement through innovative research, education and contributions to public discourse.

Mission

We draw on a range of expertise, skills, and research traditions to generate innovative insights in a range of domains, including:

��Artificial Intelligence in supply chains
Asset and capability management
Buyer-supplier relationships
Contract management
Supply chain operations, procurement and logistics
Supply chain networks
Supply chain risk
Supply chain sustainability

Research achievements

• A multi-year evaluation of the sustainable supply chain programs of two global FMCG manufacturing MNEs.

• The research and development of innovations to improve health and safety outcomes in the construction industry.

• Multi-year practice-oriented research on the use of Artificial Intelligence and Machine Learning in evaluating customer feedback and buying behaviour with implications for supply chain risk management.

• Research and development of risk management practices within Defence logistics programs.

• Development of a customer engagement capability for an SME in the IT industry.

• Development of a new blockchain protocol to enable the use of subjective information, where previously blockchains could only cope with objective information.

• Evaluation of social enterprise resource integration and mobilisation approaches, particularly in childcare centres.

• Modelling and optimising supply chains across a variety of at-risk sectors, such as rare earth minerals.

• Evaluating SME access to Defence contract opportunities.

• Evaluation of procurement and contracting approaches used by government agencies.

• Development of a supply chain visualisation and transparency tool using publicly available datasets.

• Development of a supply chain risk assessment tool using publicly available datasets.

• Conceptualising supplier trustworthiness and development of a framework to assist in supplier selection decisions.

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Our unique selling proposition

Our enduring relationship with Defence has led to a profound understanding of Defence, the challenges that Defence faces, and the broader Defence industry context.��
We have a deep understanding of the Commonwealth, state and territory governments. We also work with a variety of organisations in the public service. Our unique understanding and experience allow us to cater to managers in the public sector.��
Our world-class research outputs include thought leadership in project management, asset management, logistics management, risk management, governance, relationship management, accountability and business intelligence.��
Our educational offerings uniquely cater to the needs of our stakeholders. They include the Master of Logistics Management, Master of Sustainment Management, Doctor of Public Leadership as well as a suite of Professional Education programs.��
Our people have experience across the IT, professional services, public sector (including Defence, Commonwealth agencies, state and local government), finance, tertiary education, not-for-profit and community sectors.��

Successful applications

The following research projects are currently active or likely to commence shortly:��

Advanced AI techniques for supply chain risk management in an inherently complex world.
Enhanced benefits realisation governance practice across advanced technology and capability programs.
Social enterprise resource mobilisation: The how, the who and the implications.
Key Account Management maturity: A research-informed managerial guide.
Macro-level politics and supply chain capability decisions.
Towards a new theory of service-based contracting in buyer-supplier exchange.
Analysing supply chain resilience: Opportunities for technology intervention and their policy implications.
Rare earth minerals: Mapping the supply system to assess risk and resilience.

Partners

Our research partners have included federal government entities, professional bodies, industry associations, companies and not-for-profit organisations.��

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View a selection of some of our recent journal publications and book chapters.

Journal Publications

Tiwari, S., Sharma, P., Choi, T.M. and Lim, A., 2023. Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap. Transportation Research Part E: Logistics and Transportation Review, 170, p.103012,��

Somarin, A.R., Sharma, P., Tiwari, S. and Chen, S., 2023. Stock reallocation policy for repairable service parts in case of supply disruptions due to extreme weather events. International Journal of Production Economics, 256, p.108743,��

Sharma, P., Tiwari, S., Choi, T.M. and Kaul, A., 2022. Big Data Analytics for Crisis Management From an Information Processing Theory Perspective: A Multimethodological Study. IEEE Transactions on Engineering Management,��

Alsobhi HA; Alakhtar RA; Ubaid A; Hussain OK; Hussain FK, 2023, 'Blockchain-based micro-credentialing system in higher education institutions: Systematic literature review', Knowledge-Based Systems, 265, pp. 110238 - 110238,��

Bassiouni MM; Chakrabortty RK; Hussain OK; Rahman HF, 2023, 'Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions', Expert Systems with Applications, 211, pp. 118604,��

Nimmy SF; Hussain OK; Chakrabortty RK; Hussain FK; Saberi M, 2023, 'Interpreting the antecedents of a predicted output by capturing the interdependencies among the system features and their evolution over time', Engineering Applications of Artificial Intelligence, 117, pp. 105596 - 105596,��

Hussain OK, 2022, 'The process of risk management needs to evolve with the changing technology in the digital world', Service Oriented Computing and Applications, 16, pp. 143 - 145,��

Norouzian-Maleki P; Izadbakhsh H; Saberi M; Hussain O; Jahangoshai Rezaee M; GhanbarTehrani N, 2022, 'An integrated approach to system dynamics and data envelopment analysis for determining efficient policies and forecasting travel demand in an urban transport system', Transportation Letters, 14, pp. 157 - 173,��,

Prior DD; Saberi M; Janjua NK; Jie F, 2022, 'Can i trust you? incorporating supplier trustworthiness into supplier selection criteria', Enterprise Information Systems, vol. 16,��

Prior DD; Hitihami Mudiyanselage LK; Hussain OK, 2022, 'Does formalization or centralization mitigate uncertainty in knowledge-intensive procurement?', Journal of Business and Industrial Marketing, vol. 37, pp. 433 - 446,��

Janjua NK; Nawaz F; Prior DD, 2023, 'A fuzzy supply chain risk assessment approach using real-time disruption event data from Twitter', Enterprise Information Systems, 17,��

Bazbauers AR, 2022, 'Translating climate strategies into action: An analysis of the sustainable, green, and resilient city action plans of the multilateral development banks', Development Policy Review, 40, https://dx.doi.org/10.1111/dpr.12577

Bazbauers AR, 2022, 'Sustainable, green, and climate-resilient cities: an analysis of multilateral development banks', Climate and Development, 14, pp. 689 - 704,��

Bui HT; Hussain OK; Prior D; Hussain FK; Saberi M, 2023, 'SIAEF/PoE: Accountability of Earnestness for encoding subjective information in Blockchain', Knowledge-Based Systems, 269, pp. 110501 - 110501,��

Bui HT; Hussain OK; Prior D; Hussain FK; Saberi M, 2022, 'Proof by Earnestness (PoE) to determine the authenticity of subjective information in blockchains - application in supply chain risk management', Knowledge-Based Systems, 250, pp. 108972 - 108972,��

Ordibazar, A.H., Hussain, O., Chakrabortty, R.K., Saberi, M., Irannezhad, E., 2023. Developing Supply Chain Risk Management Strategies by Using Counterfactual Explanation. International Conference on Service-Oriented Computing.��

Aboutorab H; Hussain OK; Saberi M; Hussain FK, 2022, 'A reinforcement learning-based framework for disruption risk identification in supply chains', Future Generation Computer Systems, 126, pp. 110 - 122,��

Dong MC; Huang Q; Liu Z, 2022, 'Adjusting supply chain involvement in countries with politician turnover: A contingency framework', Journal of Operations Management, vol. 68, pp. 824 - 854,��

Habibi F; Abbasi A; Chakrabortty RK, 2023, 'Designing an efficient vaccine supply chain network using a two-phase optimization approach: a case study of COVID-19 vaccine', International Journal of Systems Science: Operations and Logistics, 10, 

Habibi F; Chakrabortty RK; Abbasi A, 2023, 'Maximizing projects’ profitability, environmental score, and quality: a multi-project scheduling and material ordering problem', Environmental Science and Pollution Research, 

Hossain MS; Chakrabortty RK; Elsawah S; Ryan MJ, 2023, 'Modelling and application of hierarchical joint optimisation for modular product family and supply chain architecture', International Journal of Advanced Manufacturing Technology,  

Jaigirdar SM; Das S; Chowdhury AR; Ahmed S; Chakrabortty RK, 2023, 'Multi-objective multi-echelon distribution planning for perishable goods supply chain: a case study', International Journal of Systems Science: Operations and Logistics, 10, pp. 1 - 19,  

Asadujjaman M; Rahman HF; Chakrabortty RK; Ryan MJ, 2023, 'An Integrated Multi-project Scheduling, Materials Ordering and Suppliers Selection Problem', Procedia Computer Science, 219, pp. 1609 - 1616,  

Nimmy SF; Hussain OK; Chakrabortty RK; Hussain FK; Saberi M, 2023, 'An optimized Belief-Rule-Based (BRB) approach to ensure the trustworthiness of interpreted time-series decisions', Knowledge-Based Systems, pp. 110552 - 110552, 

Chakrabortty RK; Rahman MHF; Ding W, 2023, 'Guest Editorial: Special Section on Developing Resilient Supply Chains in a Post-COVID Pandemic Era: Application of Artificial Intelligent Technologies for Emerging Industry 5.0', IEEE Transactions on Industrial Informatics, 19, pp. 3296 - 3299,  

Book Chapters

Kalabay Hatipoglu, B., Ertuna, B., & Cam Denizci, F. 2022. Sustainable Tourism and Community Well-Being: A Situation Analysis Using Participative Action Research in Farmaki, A., Altinay, L., Font, X. (Eds) Planning and Managing Sustainability in Tourism (pp. 131-148). Springer, Cham.��https://link.springer.com/book/10.1007/978-3-030-92208-5

Ertuna, B., Hatipoglu, B. K., Cantekinler, E., Dağ, S., Ormanlıoğlu, B., & Şenkal, S. D. 2023. A critical inquiry into the Sustainability of NBT: Responsibility of the traveler. In (pp. 36-51). Routledge.��

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Study with us

Programs associated with Sustainment and Network Collaboration include:��

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