| Project Id
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BITSRMIT024B001300
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| Project Detail
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| Project Title
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Role of artificial intelliegence in designing circular supply chains
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| Senior Supervision Team (BITS)
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| Supervisor name and Title
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RAJESH MATAI
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School or Department (or company, if applicable)
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BITS PILANI, PILANI CAMPUS
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|
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Email ID
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matair@pilani.bits-pilani.ac.in
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| URL for more info
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https://www.bits-pilani.ac.in/pilani/rajesh-matai/
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| a) Are you currently supervising a BITS or RMIT HDR student?
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YES
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| Please comment how many you are supervising
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1
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| b) Have you supervised an offshore candidate before?
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NO
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| If no, what support structures do you have in place?
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|
| If yes, please elaborate
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N
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| Senior Supervision Team (RMIT)
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| Supervisor name and Title
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Priyabrata Chowdhury
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School or Department (or company, if applicable)
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COBL
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|
|
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Email ID
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priyabrata.chowdhury@rmit.edu.au
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| URL for more info
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https://www.rmit.edu.au/contact/staff-contacts/academic-staff/c/chowdhury-dr-priyabrata
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| a) Are you currently supervising a BITS or RMIT HDR student?
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YES
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| Please comment how many you are supervising
|
2
|
| b) Have you supervised an offshore candidate before?
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NO
|
| If no, what support structures do you have in place?
|
|
| If yes, please elaborate
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N
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| Other Supervisors (BITS)
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| Supervisor name and Title
|
|
School or Department (or company, if applicable)
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|
| Phone Number (Optional)
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|
Email ID
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|
| URL for more info
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| Other Supervisors (BITS)
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| Supervisor name and Title
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Kwok Hung Lau
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School or Department (or company, if applicable)
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COBL
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| Phone Number (Optional)
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+61399255910
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Email ID
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charles.lau@rmit.edu.au
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| URL for more info
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https://www.rmit.edu.au/contact/staff-contacts/academic-staff/l/lau-associate-professor-charles
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| Field of Research (For Codes)
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| 330314 | Sustainable design | 30.00 |
| 350909 | Supply chains | 40.00 |
| 401106 | Waste management, reduction, reuse and recycling | 30.00 |
| 401408~484 | Manufacturing processes and technologies | 20.00 |
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| Project Description
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|
In response to the growing imperative for sustainability, supply chains are under increasing pressure to shift from linear to circular models. Circular supply chains, rooted in the principles of narrowing, slowing, and closing, prioritize minimizing raw material use, extending product durability, and maximizing recycling and reuse at the end of a product's life.
However, the actual shift from linear to circular supply chains is still in its early stages and requires further research. Prior research has indicated that the integration of artificial intelligence (AI) in supply chain operations can play a pivotal role in accelerating the implementation of circular supply chains. While the application of AI for accelerating circular supply chains theoretically makes sense, it remains unclear how AI capabilities support specific activities at different stages of circular supply chains. Moreover, it is still unclear what organizational readiness is required, the challenges that firms face, and the strategies to overcome such challenges to adopt AI for circular supply chains. This is mainly due to the lack of empirical exploration of the role of AI in circular supply chain design.
This research project, therefore, aims to empirically explore the role of AI in designing a circular supply chain model for manufacturing firms, with a focus on those critical for trade between Australia and India. The study will investigate how these firms, spanning various industries, can effectively adopt AI to shift from linear to circular supply chains.
The study will unfold in three phases. The first phase will encompass a comprehensive literature review to gain insights into the role of AI and the organizational capabilities required to adopt AI for circular supply chains. The second phase will involve gathering qualitative data from manufacturing firms to understand how these identified factors contribute to designing circular supply chains, the various challenges faced in the adoption of AI for circular supply chains, and ways to tackle those challenges.
Drawing on the insights from Phases 1 and 2, the research will develop a model with hypotheses to illustrate the mechanisms involved in adopting AI to shift from linear to circular supply chains. Finally, a large-scale survey will be conducted to test and validate the model, ensuring its applicability across diverse manufacturing sectors.
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| Project Deliverable/Outcomes
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(1) Research Papers publication
(2) Guide to practice
(3) Contribution to theory
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| Research Impact Themes
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| ADVANCED MATERIALS, MANUFACTURING AND FABRICATION | ADDITIVE MANUFACTURING, DIGITAL TWINS AND HIGH PERFORMING PRODUCTS |
| AI/ML and Data Analytics / Data Science with a focus on applications/translation in | AI for Business Process Automation |
| SUSTAINABLE DEVELOPMENT AND ENVIRONMENT
| CIRCULAR ECONOMY, CLIMATE CHANGE AND DECREASED URBAN POLLUTION |
| DESIGN, CREATIVE PRACTICE AND GLOBAL BUSINESS | SOCIAL CONNECTION AND INCLUSION; IMPROVED GLOBAL BUSINESS EFFICIENCIES AND INNOVATION |
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| Which RMIT Sustainable Development Goal (SDG) does your project align to
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INDUSTRY, INNOVATION, AND INFRASTRUCTURE
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| Which RMIT Enabling Impact Platform (EIP) does your project align to
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SUSTAINABLE TECHNOLOGIES AND SYSTEMS PLATFORM
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| Which RMIT Program code will this project sit under?
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DR202 (SUPPLY CHAIN AND LOGISTICS)
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| Student Capabilities and Qualifications
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Supply Chain Management, Data Science
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Circular practices
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MTech or MBA
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| Preferred discipline of Student
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| Climate |
| Data Science, Data Mining, Data Security & Data Engineering |
| MBA (Operations / Supply Chain and Logistics) |
| ME (Industrial/Production Engineering) |
| Sustainable Development, Development Studies, Development Geography, International Development |
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