While there is potential to utilise Industry 4.0 technologies to achieve CE related targets with a significant research agenda identified, there is limited research on the development of formal decision-making models and tools for integrating innovative digital technologies used in enterprise resource planning. Industry 4.0 technologies such as the Internet of Things (IoT), cyber-physical systems (CPS), additive manufacturing (AM), and blockchains can facilitate Circular Economy (CE) transitioning. However, the correct use and optimisation of these technologies and how organisations accept newer technologies associated with integrated and automated supply chains is not well understood. This research will break down the adoption process and explore the adoption, adaption and utilisation of Decision Support Systems (DSS) while developing support tools that can more effectively link these critical and emergent social, technological, and organizational factors - factors that often require multi-stakeholder, multi-organization, and multi-functional considerations.
As an example IoT, virtual and augmented reality application in remanufacturing require strategic decision models to optimize product remanufacturing. Opportunities have been identified for exploring the linkages between product life cycle, optimal remanufacturing process, and proactive application of CE innovations. These analytics can be leveraged to support decision-making during multiple product lifecycle stages.
Given the interdisciplinary and “futuristic” nature of the topic, there has also been a call for more exploratory methodologies – such as Delphi studies, case studies or focus groups – to bring insights and shed light on the adoption process.
A primary aim of this project therefore, is to explore, through qualitative research methods, this adoption process with the aid of the technology acceptance model and to distinguish the barriers and benefits to DSS in Industry 4.0 as well as prescribing a model for integration. We will conduct exploratory case study research followed by a Delphi Study or Focus Group to further examine the phenomena.
APPLICATIONS
Candidates must submit a brief literature review (500 words, not including the list of references in the word count) of their selected project, accompanied by a short CV (one page) and complete the registration form. An applicant may apply for more than one project, however each application must have a separate literature review.
An Honours Degree (minimum 2.2, but 2.1 or higher is desirable) in the relevant business/computing/engineering disciplines.Candidates from outside the EU are eligible to apply but may be expected to provide evidence of sources of additional funds to cover living expenses for the first month in Ireland.
If either English or Irish is not the applicant’s first language, evidence of English language proficiency is required for registration. Applicants must have attained a minimum of IELTS 6.5 or equivalent, due to the very high academic writing standard required for postgraduate qualifications through research.
Application Form / Terms of Conditions can be obtained on the website: https://www.itsligo.ie/oscar/
Please send your completed application form to Sean Walker - [Email Address Removed]
The closing date for receipt of applications is 5pm, (GMT) 6th of June 2022.