Dr Siamak Kheybari

Management School

Lecturer in Business Analytics and Supply Chain Management

S.Kheybari@sheffield.ac.uk
+44 114 222 3452

B61, Sheffield University Management School

Full contact details

Dr Siamak Kheybari
Management School
B61
Sheffield University Management School
Conduit Road
Sheffield
S10 1FL

Profile

Dr. Siamak Kheybari is a Lecturer in Business Analytics and Supply Chain Management at the University of Sheffield. Previously, he served as a Research Associate in Industrial Systems and Network Analysis at the University of Cambridge's Institute for Manufacturing. He also gained valuable experience as a Postdoctoral Fellow at NEOMA Business School.

Siamak is an expert in decision and risk analysis, with expertise in behavioural decision research, decision modelling, and strategic decision-making. His primary research interests include behavioural decision analysis, strategic resource allocation for industry and healthcare systems, and facilitated decision modelling with a focus on digital transformation and network optimisation. His research bridges analytical methods with real-world applications to address complex challenges in supply chain management, focusing on improving system performance and adaptability.

Qualifications: PhD in Management- Operations Research

Research interests

My principal research interests focus on advancing decision analysis and strategic decision-making in complex systems. This includes behavioural decision analysis, strategic resource allocation for industry and healthcare systems, and facilitated decision modelling, particularly in the context of digital transformation and network optimization.

A key aspect of my work is risk analysis, aimed at enhancing the robustness and reliability of decisions in dynamic environments. I also investigate network configuration, optimizing interconnected systems to improve operational efficiency and adaptability while ensuring alignment with organizational objectives.

Additionally, I explore the design and optimization of digital supply chains, leveraging data-driven approaches to enhance connectivity, scalability, and responsiveness. These areas of research are unified by a commitment to developing analytical methods and practical tools that address challenges in supply chain management and help organizations navigate the complexities of decision-making.

Key Research Areas:

Behavioural Decision Analysis
Strategic Decision-Making
Risk Analysis
Network Configuration
Digital Supply Chains

Publications

Journal articles

Kheybari S, Mehrpour MR, Bauer P & Ishizaka A (2024) How can risk-averse and risk-taking approaches be considered in a group multi-criteria decision-making problem?. Group Decision and Negotiation, 33, 883-909. View this article in WRRO
Kheybari S, Ishizaka A, Mehrpour MR & Pereira V (2024) Selection of a business school dean: a multi-criteria knowledge-based approach. Journal of Knowledge Management, 28(9), 2519-2547.
Reza Mehrpour M, Kheybari S, Singh Srai J & Rohani A (2024) Integration of strategic and operational attributes to calculate the optimal cultivation of crops. Expert Systems with Applications, 236, 121238-121238.
Arabnarmi B, Khalilian F, Kheybari S & Ishizaka A (2024) Sports complex location selection for traditional games. Operations Management Research, 17(1), 340-362.
Naji Nasrabadi Yazd SA, Salamirad A, Kheybari S & Ishizaka A (2023) An efficiency-based aggregate production planning model for multi-line manufacturing systems. Operations Management Research, 16(4), 2008-2024.
Kheybari S, Davoodi Monfared M, Salamirad A & Rezaei J (2023) Bioethanol sustainable supply chain design: A multi-attribute bi-objective structure. Computers & Industrial Engineering, 180, 109258-109258.
Soltanali H, Khojastehpour M & Kheybari S (2023) Evaluating the critical success factors for maintenance management in agro-industries using multi-criteria decision-making techniques. Operations Management Research, 16(2), 949-968.
Ishizaka A, Khan SA, Kheybari S & Zaman SI (2023) Supplier selection in closed loop pharma supply chain: a novel BWM–GAIA framework. Annals of Operations Research, 324(1-2), 13-36.
Kheybari S, Ishizaka A & Salamirad A (2023) A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients. Journal of the Operational Research Society, 74(2), 509-526.
Salamirad A, Kheybari S, Ishizaka A & Farazmand H (2023) Wastewater treatment technology selection using a hybrid multicriteria decision‐making method. International Transactions in Operational Research, 30(3), 1479-1504.
Kheybari S & Ishizaka A (2022) The behavioural best-worst method. Expert Systems with Applications, 209, 118265-118265.
Kheybari S, Javdanmehr M, Rezaie FM & Rezaei J (2021) Corn cultivation location selection for bioethanol production: An application of BWM and extended PROMETHEE II. Energy, 228, 120593-120593.
Kheybari S (2021) Adjusting Trade-Offs in Multi-Criteria Decision-Making Problems. International Journal of Information Technology & Decision Making, 20(05), 1499-1517.
Kheybari S, Mahdi Rezaie F & Rezaei J (2021) Measuring the Importance of Decision-Making Criteria in Biofuel Production Technology Selection. IEEE Transactions on Engineering Management, 68(2), 483-497.
Kheybari S, Rezaie FM, Naji SA, Javdanmehr M & Rezaei J (2020) Evaluation of factors contributing to the failure of information systems in public universities: The case of Iran. Information Systems, 92, 101534-101534.
Kheybari S, Davoodi Monfared M, Farazmand H & Rezaei J (2020) Sustainable Location Selection of Data Centers: Developing a Multi-Criteria Set-Covering Decision-Making Methodology. International Journal of Information Technology & Decision Making, 19(03), 741-773.
Kheybari S, Rezaie FM & Farazmand H (2020) Analytic network process: An overview of applications. Applied Mathematics and Computation, 367, 124780-124780.
Kheybari S, Bokaeyan A & Yazd SANN (2020) Efficient Harvesting of Saffron Using Integer Programming. International Journal of Agricultural Management and Development, 10(3), 307-321.
Kheybari S, Rezaie FM, Naji SA & Najafi F (2019) Evaluation of energy production technologies from biomass using analytical hierarchy process: The case of Iran. Journal of Cleaner Production, 232, 257-265.
Kheybari S, Kazemi M & Rezaei J (2019) Bioethanol facility location selection using best-worst method. Applied Energy, 242, 612-623.
Kheybari S, Naji SA, Rezaie FM & Salehpour R (2019) ABC classification according to Pareto’s principle: a hybrid methodology. OPSEARCH, 56(2), 539-562.
Kheybari S () Integration of organizational, economic and customer-related attributes to prioritize marketing strategies. Journal of Business & Industrial Marketing.
Khani SAAA, Kheybari S, Latifi M-A, Salimi N & Labib A () Innovation and Survival of Traditional Industries: Measuring Barriers Using the Best–Worst Method. International Journal of Information Technology & Decision Making, 1-29.
Kheybari S & Mahdi Rezaie F () Selection of biogas, solar, and wind power plants’ locations: An MCDA approach. Journal of Supply Chain Management Science.

Chapters

Kheybari S & Pooya A (2021) Location Selection of Bioethanol Distribution Centers In Rezeai J (Ed.), Strategic Decision Making for Sustainable Management of Industrial Networks (pp. 71-92). Springer Cham

Research group: Operations Management and Decision Sciences (OMDS)

Teaching activities

Analysis for Decision Making
Multi-Criteria Decision Making
Global Supply Chain Leadership

PhD Supervision

I welcome PhD candidates who are interested in conducting quantitative research in fields that align with my research interests.

Are you interested in applying for a PhD?

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