Contact Dr Maryam Farsi
- Tel: +44 (0) 1234 750111
- Email: Maryam.Farsi@cranfield.ac.uk
- Twitter: @DrMaryamFarsi
- Blog: https://www.igi-global.com/journal/international-journal-strategic-engineering/175350
- ORCID
- Google Scholar
- ResearchGate
Areas of expertise
- Manufacturing Systems
- Product and Service Design
Background
Dr Maryam Farsi is a Lecturer in Through-life Engineering Optimisation at Cranfield University, School of Aerospace, Transport and Manufacturing. Dr Farsi gained her PhD in 'Nonlinear Structural Mechanics' from Imperial College London in December 2014 and her MSc in 'Civil Engineering Structures' from City, University of London in March 2010. Dr Farsi's main research focus is on complex systems and system of systems simulation, optimisation, data analytics and data visualisation, with application across aerospace, manufacturing, transport, and healthcare sectors. Dr Farsi's research focus is on dynamic systems and structures modelling, enterprise and supply chain modelling, complex systems simulation, sustainable manufacturing, digital twin; servitization; lifecycle cost modelling; optimisation, and risk and uncertainty quantification with over 25 research works.
Dr Farsi is a member of the Centre for Digital Engineering and Manufacturing. She has supervised more than 40 MSc. 2 KTP and 2 PhD. Dr Farsi is a member of the Institution of Engineering and Technology (MIET), Fellow of Higher Education Academy (FHEA) and associate editor of International Journal of Strategic Engineering (IJoSE). Dr Farsi has been involved in research bid development with a total projects' cost of over £2m, where she was successfully attracted more than £100K income generation as an investigator (PI or Co-I).
Research opportunities
Self-funded PhDs and MSc by research:
Complex systems, Enterprise modelling, Service and support chains design, Sustainable manufacturing, Human-AI interaction, Servitization, Lifecycle costing, Digital Twin and Smart Cities, Optimisation.
Funded PhD project:
Intelligent multi-objective optimisation for sustainable servitisation, funded by EPSRC and Siemens Energy.
Current activities
Research
Dr Farsi is currently the project manager and active researcher in an ATI funded project called 'Digitally Optimised Through-life Engineering Services' or TES-Digital. Dr Farsi main research focus is on developing a lifecycle cost estimation model for current and future complex engineering assets in collaboration with Cambridge University.
Module Leading
Manufacturing Systems Engineering (3 cohorts)
Through-life System Effectiveness (1 cohort)
Optimising Whole Life Cost and Performance Management (2 cohorts)
Principle of Cost Engineering - Short Course (online)
Selected Teaching
Enterprise modelling and simulation using AnyLogic
Agent-based, Discrete-event and System dynamics techniques
Whole lifecycle costing
Cost-benefit analysis
Research team
Michael Jones: PhD in Automating Data Reporting, Analysis and Corrective Action Systems with Thales UK Ltd (2021 - 2027)
Valentina Futoryanova: PhD in Optimising obsolescence in early design phase using AI and dynamic modelling with Oxford Instruments (2021 - 2027)
Dr ThuBa Nguyen: KTP associate in Servitization optimiser project with Siemens Energy (2019 - 2022)
Previous projects
Product-service systems and servitization applications in machine tool sectors (IUK funded - Jun 2019)
Supply Chain Mapping for ATMP's Manufacturers (IUK funded - April 2018)
Through life Cost of a Component (Rolls-Royce funded - October 2017)
Automation of Cell Therapy Cryo-storage Processes and Future Manufacturing Facilities (IUK funded - May 2017)
Clients
Aerospace Technology Institute (ATI)
Babcock International
BAE Systems
Bombardier Transportation
Cell and Gene Therapy Catapult (CGTC)
Machine Tool Technologies Ltd (MTT)
Network Rail
Rolls-Royce
Siemens
Thermo Fisher, UK
Publications
Articles In Journals
- Zhou H, Farsi M, Harrison A, Parlikad AK & Brintrup A. (2023). Civil aircraft engine operation life resilient monitoring via usage trajectory mapping on the reliability contour. Reliability Engineering & System Safety, 230(February)
- Latsou C, Farsi M & Erkoyuncu JA. (2023). Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach. Journal of Manufacturing Systems, 67(April)
- Latsou C, Farsi M & Erkoyuncu JA. (2023). Corrigendum to “Digital twin-enabled automated anomaly detection and bottleneck identification in complex manufacturing systems using a multi-agent approach” [J Manuf Syst 67 (2023) 242–264]. Journal of Manufacturing Systems, 68
- del Amo IF, Erkoyuncu JA, Farsi M & Ariansyah D. (2022). Hybrid recommendations and dynamic authoring for AR knowledge capture and re-use in diagnosis applications. Knowledge-Based Systems, 239(March)
- Vrabič R, Erkoyuncu JA, Farsi M & Ariansyah D. (2021). An intelligent agent-based architecture for resilient digital twins in manufacturing. CIRP Annals, 70(1)
- Farsi M & Erkoyuncu JA. (2021). An agent-based approach to quantify the uncertainty in Product-Service System contract decisions: A case study in the machine tool industry. International Journal of Production Economics, 233
- Farsi M, Latsou C, Erkoyuncu JA & Morris G. (2020). RFID Application in a Multi-Agent Cyber Physical Manufacturing System. Journal of Manufacturing and Materials Processing, 4(4)
- Farsi M, Erkoyuncu JA, Steenstra D & Roy R. (2019). A modular hybrid simulation framework for complex manufacturing system design. Simulation Modelling Practice and Theory, 94
- Daneshkhah A, Hosseinian-Far A, Chatrabgoun O, Sedighi T & Farsi M. (2018). Probabilistic Modeling of Financial Uncertainties. International Journal of Organizational and Collective Intelligence, 8(2)
- Wadee MA & Farsi M. (2015). Imperfection sensitivity and geometric effects in stiffened plates susceptible to cellular buckling. Structures, 3
- Marom D. (2015). Preface. 2015 International Conference on Optical MEMS and Nanophotonics (OMN)
- Wadee MA & Farsi M. (2014). Cellular buckling in stiffened plates. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 470(2168)
- Wadee MA & Farsi M. (2014). Local–global mode interaction in stringer-stiffened plates. Thin-Walled Structures, 85
Conference Papers
- Addepalli S, Namoano B, Oyedeji OA, Farsi M & Erkoyuncu JA. (2023). Designing a semantic based common taxonomy of mechanical component degradation to enable maintenance digitalisation
- Farsi M, Namoano B, Sonmez AN, Addepalli S & Erkoyuncu JA. (2023). A Robust Design for Lifecycle Cost with Reliability Analysis Integration
- Erkoyuncu JA, Farsi M, Addepalli S & Latsou C. (2023). Design for Digitally Enabled Industrial Product-Services Systems
- Davies O, Makkattil A, Jiang C & Farsi M. (2022). A Digital Twin Design for Maintenance Optimization
- Farsi M & Erkoyuncu JA. (2021). An Agent-based Model for Flexible Customization in Product-Service Systems
- Latsou C, Erkoyuncu JA & Farsi M. (2021). A multi-objective approach for resilience-based system design optimisation of complex manufacturing systems
- Farsi M, Ariansyah D, Erkoyuncu JA & Harrison A. (2021). A digital twin architecture for effective product lifecycle cost estimation
- Farsi M, Mishra RK & Erkoyuncu JA. (2021). Industry 5.0 for Sustainable Reliability Centered Maintenance
- Farsi M & Erkoyuncu JA. (2021). Industry 5.0 Transition for an Advanced Service Provision
- Latsou C, Farsi M, Erkoyuncu JA & Morris G. (2021). Digital Twin Integration in Multi-Agent Cyber Physical Manufacturing Systems
- Farsi M, Erkoyuncu JA & Harrison A. (2020). A Super Simple Life-cycle Cost Estimation Model with Minimum Data Requirement
- Farsi M & Erkoyuncu JA. (2020). Toward an Integrated Sustainability Assessment in Through-life Engineering Services
- Farsi M, Bailly A, Bodin D, Penella V, Pinault P-L, .... (2020). An Optimisation Framework for Improving Supply Chain Performance: Case study of a bespoke service provider
- Farsi M, Grenyer A, Sachidananda M, Sceral M, Mcvey S, .... (2018). Conceptualising the impact of information asymmetry on through-life cost: case study of machine tools sector
- Wadee MA & Farsi M. (2013). Analytical modelling of cellular buckling in stiffened plates
Books
- Farsi M, Daneshkhah A, Hosseinian-Far A & Jahankhani H (eds). (2020). Digital Twin Technologies and Smart Cities (Internet of Things)
- Farsi M, Daneshkhah A, Far AH, Chatrabgoun O & Montasari R. (2018). Crime Data Mining, Threat Analysis and Prediction In Jahankhani Hamid (ed.), Advanced Sciences and Technologies for Security Applications. Springer International Publishing.
- Daneshkhah A, Hosseinian-Far A, Sedighi T & Farsi M. (2017). Prior Elicitation and Evaluation of Imprecise Judgements for Bayesian Analysis of System Reliability In Hosseinian-Far A, Ramachandran M & Sarwar D (eds), Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.
- Farsi M, Hosseinian-Far A, Daneshkhah A & Sedighi T. (2017). Mathematical and computational modelling frameworks for integrated sustainability assessment (ISA) In Hosseinian-Far A, Ramachandran M & Sarwar D (eds), Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.
- Farsi M, Hosseinian-Far A, Daneshkhah A & Sedighi T. (2017). Mathematical and Computational Modelling Frameworks for Integrated Sustainability Assessment (ISA) In Strategic Engineering for Cloud Computing and Big Data Analytics. Springer International Publishing.