Contact Dr Maryam Farsi
Areas of expertise
- Computing, Simulation & Modelling
- Manufacturing Systems
- Product and Service Design
- Structures and Materials
Dr Maryam Farsi is a Lecturer in Through-life Engineering Optimisation in the School of Aerospace, Transport and Manufacturing. She joined Cranfield University in 2015 as a research fellow in Complex Systems Modelling and Simulation. She is a member of Through-life Engineering Services Centre in the Manufacturing theme. Dr Farsi gained her PhD in ‘Nonlinear Structural Mechanics’ from Imperial College London in 2015 and her MSc in ‘Civil Engineering Structures’ from City, University of London in 2010. Dr Farsi’s main research focus is on complex systems and system of systems simulation, modelling, optimisation and data analytics. Her research interests focus on digital technologies and advanced simulation and optimisation techniques to study complex manufacturing systems and supply chains to enhance long-term productivity, resilience and robustness. Her research includes asset management, product and service through-life cost modelling and analysis, risk and uncertainty quantification and decision engineering using a wide range of techniques such as agent-based, discrete event and system dynamics. Her former research work at Imperial College London involved a thorough study of structural mechanics, stability analysis, resilience and structural integrity. The study entailed modelling buckling and post-buckling instabilities in light-weight metallic and composite material structures using numerical (FEA) and analytical (ODE) models. Maryam’s research involved developing a framework for establishing the zone where structural designers need to consider interactive buckling carefully in order to prevent catastrophic failures. Maryam is a member of the Institution of Engineering and Technology (MIET) and a Fellow of Higher Education Academy (FHEA).
List of successfully completed 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)
Dr Farsi's research interests, comprising:
- Enterprise and supply chain simulation and optimisation
- Product and service through-life cost modelling for servitization
- Risk and uncertainty quantification for reliability and resilience
- Digital Twin for data analytics
Dr Farsi is currently working on DO-TES (Digitally Optimised through Life Engineering Services) project. The project aims to create the world’s leading approach for Digital TES implementation with a view to improving the through-life service, efficiency, availability and productivity of the UK Aerospace sector. Dr Farsi is also actively involved in teaching, proposal writing and supervising postgraduate MSc and PhD projects.
Aerospace Technology Institute (ATI)
Cell and Gene Therapy Catapult (CGTC)
Machine Tool Technologies Ltd (MTT)
Thermo Fisher, UK
Articles In Journals
- Vrabic R, Erkoyuncu JA, Farsi M & Ariansyah D (2021) An intelligent agent-based architecture for resilient digital twins in manufacturing, CIRP Annals - Manufacturing Technology, Available online 11 June 2021.
- Latsou C, Erkoyuncu JA & Farsi M (2021) A multi-objective approach for resilience-based system design optimisation of complex manufacturing systems, Procedia CIRP, 100 536-541.
- Farsi M, Ariansyah D, Erkoyuncu JA & Harrison A (2021) A digital twin architecture for effective product lifecycle cost estimation, Procedia CIRP, 100 506-511.
- Farsi M & Erkoyuncu JA (2021) An agent-based model for flexible customization in product-service systems, Procedia CIRP, 96 (21) 39-44.
- 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 (March) Article No. 108014. Dataset/s: 10.17862/cranfield.rd.11926425
- 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) Article No. 103.
- 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 (July) 14-30.
- Farsi M, Grenyer A, Sachidananda M, Sceral M, Mcvey S, Erkoyuncua J & Roy R (2018) Conceptualising the impact of information asymmetry on through-life cost: case study of machine tools sector, Procedia Manufacturing, 16 99-106.
- 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) Article No. 1.
- Wadee M & Farsi M (2015) Imperfection sensitivity and geometric effects in stiffened plates susceptible to cellular buckling, Structures, 3 (August) 172-186.
- Wadee M & Farsi M (2014) Local-global mode interaction in stringer-stiffened plates, Thin-Walled Structures, 85 (December) 419-430.
- Ahmer Wadee M & Farsi M (2014) Cellular buckling in stiffened plates, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 470 (2168) 1-17.
- Wadee MA & Farsi M (2013) Analytical modelling of cellular buckling in stiffened plates. In: Engineering Mechanics Institute Conference, Northwestern University, Evanston, IL, 4-7 August 2013.
- Farsi M, Daneshkhah A, Hosseinian-Far A, Chatrabgoun O & Montasari R (2018) Crime data mining, threat analysis and prediction. In: Cyber Criminology, Cham: Springer, p. 183-202.
- 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, Cham: Springer International Publishing, p. 3-27. Dataset/s: 10.1007/978-3-319-52491-7_1
- Daneshkhah A, Hosseinian-Far A, Sedighi T & Farsi M (2017) Prior elicitation and evaluation of imprecise judgements for Bayesian analysis of system reliability. In: Strategic Engineering for Cloud Computing and Big Data Analytics. Hosseinian-Far A, Ramachandran M, Sarwar D (ed.), Springer International Publishing, p. 63-79. Dataset/s: 10.1007/978-3-319-52491-7_4
- Farsi M, Daneshkhah A, Jahankhani H, Hosseinian-Far A (eds), Digital Twins Technologies and Smart Cities (publication Early 2019 - Exact date TBC), Springer.