Azar MahmoumGonbadi

Dr Azar MahmoumGonbadi PhD

Lecturer in Business Analytics

Azar is a Lecturer in Business Analytics at the University of Greenwich, with a background in Industrial Engineering and Operations Management. Her research focuses on the transition towards a circular economy and the application of machine learning techniques in sustainable systems. She has published papers employing fuzzy methodologies, systematic literature reviews, and developed mathematical modelling toolkits to accelerate the transition towards a circular economy.
In addition to her academic work, Azar has industry experience as a production planner and has undertaken several secondments across Europe to support organisations in measuring and enhancing their circularity, including projects with Tata Steel, Reciclec, and Fael in Spain. Since joining the University of Greenwich, she has successfully secured several research grants to advance her work in sustainability and circular economy innovation.

Business and management

Recognition

NUSC

Research / Scholarly interests

My research interest is around Circular Economy, Supply Chain Management, Operations Management and Optimisation.

Recent publications

Journal Papers

  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2023), “An optimisation tool for strategic planning of multiple downgraded market levels in circular supply chain management”, (Under review)
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2021), “Closed-loop supply chain design for the transition towards a circular economy: A systematic literature review of methods, applications and current gaps”, Journal      of    Cleaner     Production. DOI: https://doi.org/10.1016/j.jclepro.2021.129101.
  • Azar MahmoumGonbadi, Yalda Katebi, Ali Doniavi (2019), “A generic two-stage fuzzy inference system for dynamic prioritization of customers”, Expert Systems with Application. DOI: https://doi.org/10.1016/j.eswa.2019.04.059.

Technical Reports (Deliverables)

  • A Brint, T Calzolari, A Genovese, B Lowe, B Purvis, A MahmoumGonbadi (2022), “Measuring circularity in supply chains: From theoretical assumptions to practical experiences”
  • Azar MahmoumGonbadi, Tommasso Calzolari, Andrea Genovese, (2022), “Circular Economy indicators promoted by think thanks–A case study from material processing industry”
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2022), “Mathematical modelling toolkit for solving decision-making problems for the establishment of circular supply chains”

Presentations
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2022), “Mathematical models for the strategic planning of multi-market closed-loop supply chains”, Circular Economy Research Club (CERCL), The University of Sheffield, Sheffield, UK;
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro,  (2022),“Optimal strategic planning of a multiple level remanufacturing Supply Network in a Circular Economy framework”, OR Society's Annual Conference (OR64), University of Warwick, Warwick, UK;
  • Azar MahmoumGonbadi, Tommasso Calzolari, Andrea Genovese, (2021), “Circular economy practices adoption in the white goods industry in Europe: review of the state-of-the-practice”, International Conference on Resource Sustainability, University College Dublin, Ireland;
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2020), “Network design models for closed-loop supply chains: a literature review and a research agenda”, SUMS Annual Conference, The University of Sheffield, Sheffield, UK;
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2020), “Network Design Models for Closed-Loop Supply Chains: A Literature Review and a Research Agenda”, 21st International Working Seminar on Production Economics, Innsbruck, Austria.
  • Azar MahmoumGonbadi, Andrea Genovese, Antonino Sgalambro, (2019), “A Review of the Penetration of Sustainability Criteria in Closed-Loop Supply Chain”, 8th International Workshop – Advances in Cleaner Production, Sanya , China;
  • Azar MahmoumGonbadi, Yalda Katebi, Ali Doniavi, “Fuzzy Prioritization System (FPS) for dynamic customer prioritization”, 14th International Industrial Engineering Conference (IIEC2018). MahmoumGonbadi, Azar; Genovese, Andrea; Sgalambro, Antonino