Design and Simulation of an Adaptive Product-Service System for Distributed Manufacturing

About the Project

Product-service systems (PSS) aim to deliver value-in-use through integrated product and service solutions. Underpinned by sustainability research, PSS intends to produce a balanced approach to production and consumption. This PhD research project aims to combine two critical themes in sustainability: Product-Service Systems (PSS) and Distributed Additive Manufacturing. Developing PSS for distributed additive manufacturing requires considering overall system-centric perspectives, involving multiple collaborative agents and their requirements (e.g., manufacturers, consumable suppliers, end-users, designers), as well as the capabilities and efficiencies of 3D printers. Additionally, design CAD models and process streamlining for distributed manufacturing with consumable availability must be considered.

This research considers the development of a simulation-based approach for designing product­ service systems for distributed additive manufacturing, systematically incorporating the above-mentioned multi-facet elements. The simulation aims to create a novel approach for PSS representation, in-situ monitoring, and performance assessment. The specific objectives of this project are (i) agent-based simulation behaviour modelling to study multiple scenarios of PSS types, (ii) develop a system for in-situ performance monitoring for multiple 3D printers, and (iii) integrate real-time performance data in the simulation model to assess the possible adaptations required in the system to deliver the proposed PSS model.

This research requires an excellent understanding of manufacturing systems (mainly 3D printing), system engineering principles, data analytics, and machine learning (i.e., predictive modelling) techniques. Furthermore, the research involves a complete data processing cycle, such data collection with appropriate sensors, data integration, data cleaning and data transformation. Therefore, it would be ideal if the PhD candidate has experience in data analytics or system simulation modelling software such as SimUl8 and programming skills.

The research will be based at the Flexible Manufacturing Laboratory at Edinburgh Napier University. The researcher will also benefit from collaborating with Professors at the University of Edinburgh and Strathclyde through the completed EPSRC (The Engineering and Physical Sciences Research Council, UK) funded research project (EP/V051113). This project offers a unique opportunity for a motivated and intellectually curious individual to make a significant contribution to the field of manufacturing systems. The researcher joining this project will develop and train in the appropriate technical areas. In addition, the researcher will be encouraged to present the work at leading international conferences and workshops. The researcher should have an appetite for undertaking an inquiring and rigorous approach to research, together with a keen intellect and disciplined work habits.

Perspective applicants are encouraged to contact the Supervisor (Gokula Vasantha) before submitting their applications. When applying, please make it clear that you are applying for the 'Design and Simulation of an Adaptive Product-Service System for Distributed Manufacturing' project and include the names of the supervisors. We look forward to receiving your applications.

Academic qualifications

First degree (minimum 2:1 classification) in one or more of the following areas: Mechanical Engineering, Energy Engineering, Manufacturing, Computer Engineering, Mechatronics Engineering, Engineering Science, Data Science, Operational Science

English language requirement

IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

• Good fundamental knowledge of Data analytics, Manufacturing systems, Performance analysis, Operational research and Simulation programming
• Experience of fundamental manufacturing systems and processes
• Competent in data analytics and statistical techniques
• Knowledge of simulation processes and prediction approaches
• Good written and oral communication skills
• Strong motivation, with evidence of independent research skills relevant to the project
• Good time management

APPLICATION CHECKLIST

• Completed application form
• CV
• 2 academic references, using the Postgraduate Educational Reference Form (download)
• Research project outline of 2 pages (list of references excluded). The outline may provide details about
  1. Background and motivation of the project. The motivation, explaining the importance of the project, should be supported also by relevant literature. You can also discuss the applications you expect for the project results.
  2. Research questions or objectives.
  3. Methodology: types of data to be used, approach to data collection, and data analysis methods.
  4. List of references.

The outline must be created solely by the applicant. Supervisors can only offer general discussions about the project idea without providing any additional support.

• Statement no longer than 1 page describing your motivations and fit with the project.
• Evidence of proficiency in English (if appropriate)

To be considered, the application must use

• the advertised title as project title

For informal enquiries about this PhD project, please contact g.vasantha@napier.ac.uk

PhD Start Date: October 2026