Dr Hamid Eskandari

Lecturer in Strategic Operations and Analytics (Research)

Business

+44 (0) 1792 987758

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Office 301 - 301
Third Floor
School of Management
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0002-5515-9399

ResearchGate

Google Scholar

Scopus

About

Dr Hamidreza Eskandari is a Lecturer of Business Analytics at Swansea University's School of Management. Previously he was an Associate Professor at Tarbiat Modares University and Research Scientist at Red Lambda Inc., Orlando, FL. Hamid received his PhD in Industrial Engineering and Management Systems from University of Central Florida, Orlando, FL. His research has appeared in the top journals used in Business School Research Rankings including International Journal of Production Research, Transportation Research Part A, International Journal of Production Economics, Journal of Operational Research Society, Journal of Heuristics, and other journals. During his PhD he served as a Research Associate in a couple of large projects funded by NSF and NASA-KSC. He is currently seeking applications for doctoral candidates in the areas of Business and Data Analytics.

Areas Of Expertise

Big Data Analytics
Artificial Intelligence and Machine Learning
Evolutionary Multi-objective Optimization
Multiple Criteria Decision Making
Simulation and Statistical Modeling
Healthcare Operations
Logistics and Supply Chain
Complex Systems Analysis

Career Highlights

Teaching Interests

Dr Eskandari teaches at both undergraduate and postgraduate level in the areas of Business Analytics and Strategic Operations including Machine Learning, Analytics and Statistical Modeling for Business.

Research Award Highlights Collaborations

Publications

Research Highlights

Nourmohammadi, A., Eskandari, H., Fathi, M., & Ng, A. (2021). Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines. International Journal of Production Research, 59(2), 598-616.
https://doi.org/10.1080/00207543.2019.1701207, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53555
Fathi, M., Nourmohammadi, A., Ng, A., Syberfeldt, A., & Eskandari, H. (2019). An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem. Engineering Computations, 37(2), 501-521.
https://doi.org/10.1108/ec-02-2019-0053, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53772
Nassereddine, M. & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427-439.
https://doi.org/10.1016/j.tra.2017.10.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53773
Nourmohammadi, A., Eskandari, H., & Fathi, M. (2019). Design of stochastic assembly lines considering line balancing and part feeding with supermarkets. Engineering Optimization, 51(1), 63-83.
https://doi.org/10.1080/0305215x.2018.1439944, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53774
Fallah, H., Eskandari, H., & Pishvaee, M. (2018). Network Design for Allied Supply Chains under Uncertain Conditions: A Possibilistic Programming Approach. International Journal of Fuzzy Systems, 20(6), 1857-1871.
https://doi.org/10.1007/s40815-018-0490-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53775
Nourmohammadi, A. & Eskandari, H. (2017). Assembly line design considering line balancing and part feeding. Assembly Automation, 37(1), 135-143.
https://doi.org/10.1108/aa-09-2016-122, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53779
Sayyah, A., Kazemzadeh, R., Sepehri, M., & Eskandari, H. (2019). A multi-objective modelling approach to assess the impact of maintenance scheduling on equipment procurement methods. International Journal of Industrial and Systems Engineering, 31(2), 184
https://doi.org/10.1504/ijise.2019.097737, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53780
Azari, E., Eskandari, H., & Nourmohammadi, A. (2017). Decreasing the Crane Working Time in Retrieving the Containers from a Bay. Scientia Iranica, 24(1), 309-318.
https://doi.org/10.24200/sci.2017.4035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53781
Nourmohammadi, A., Eskandari, H., Fathi, M., & Aghdasi, M. (2018). A mathematical model for supermarket location problem with stochastic station demands. Procedia CIRP, 72, 444-449.
https://doi.org/10.1016/j.procir.2018.03.254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53782
Alizadeh, M., Eskandari, H., & Sajadifar, S. (2017). A simulation model to analyze an invenntory system for deteriorating items with service level constraint. International Journal of Industrial Engineering: Theory, Applications and Practice, 24(6)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53783
http://journals.sfu.ca/ijietap/index.php/ijie/article/view/2725

All Research

Journal Articles

Eskandari, H., Saadatmand, H., Ramzan, M., & Mousapour, M. (2024). Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning. Applied Energy, 366, 123314
https://doi.org/10.1016/j.apenergy.2024.123314, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66476
Qiao, Q., Eskandari, H., Saadatmand, H., & Sahraei, M. (2024). An interpretable multi-stage forecasting framework for energy consumption and CO2 emissions for the transportation sector. Energy, 286
https://doi.org/10.1016/j.energy.2023.129499, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64993
Amini, M., Azar, A., Eskandari, H., & Wanke, P. (2021). A generalized fuzzy Multiple-Layer NDEA: An application to performance-based budgeting. Applied Soft Computing, 100, 106984
https://doi.org/10.1016/j.asoc.2020.106984, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56031
Nourmohammadi, A., Eskandari, H., Fathi, M., & Ng, A. (2021). Integrated locating in-house logistics areas and transport vehicles selection problem in assembly lines. International Journal of Production Research, 59(2), 598-616.
https://doi.org/10.1080/00207543.2019.1701207, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53555
Fathi, M., Nourmohammadi, A., Ng, A., Syberfeldt, A., & Eskandari, H. (2019). An improved genetic algorithm with variable neighborhood search to solve the assembly line balancing problem. Engineering Computations, 37(2), 501-521.
https://doi.org/10.1108/ec-02-2019-0053, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53772
Sayyah, A., Kazemzadeh, R., Sepehri, M., & Eskandari, H. (2019). A multi-objective modelling approach to assess the impact of maintenance scheduling on equipment procurement methods. International Journal of Industrial and Systems Engineering, 31(2), 184
https://doi.org/10.1504/ijise.2019.097737, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53780
Nourmohammadi, A., Eskandari, H., & Fathi, M. (2019). Design of stochastic assembly lines considering line balancing and part feeding with supermarkets. Engineering Optimization, 51(1), 63-83.
https://doi.org/10.1080/0305215x.2018.1439944, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53774
Fallah, H., Eskandari, H., & Pishvaee, M. (2018). Network Design for Allied Supply Chains under Uncertain Conditions: A Possibilistic Programming Approach. International Journal of Fuzzy Systems, 20(6), 1857-1871.
https://doi.org/10.1007/s40815-018-0490-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53775
Nourmohammadi, A., Eskandari, H., Fathi, M., & Aghdasi, M. (2018). A mathematical model for supermarket location problem with stochastic station demands. Procedia CIRP, 72, 444-449.
https://doi.org/10.1016/j.procir.2018.03.254, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53782
Nourmohammadi, A., Eskandari, H., Fathi, M., & Bourani, M. (2018). An integrated model for cost-oriented assembly line balancing and parts feeding with supermarkets. Procedia CIRP, 72, 381-385.
https://doi.org/10.1016/j.procir.2018.03.255, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53787
Fathi, M., Syberfeldt, A., Ghobakhloo, M., & Eskandari, H. (2018). An optimization model for material supply scheduling at mixed-model assembly lines. Procedia CIRP, 72, 1258-1263.
https://doi.org/10.1016/j.procir.2018.03.274, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53788
Nassereddine, M. & Eskandari, H. (2017). An integrated MCDM approach to evaluate public transportation systems in Tehran. Transportation Research Part A: Policy and Practice, 106, 427-439.
https://doi.org/10.1016/j.tra.2017.10.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53773
Nourmohammadi, A. & Eskandari, H. (2017). Assembly line design considering line balancing and part feeding. Assembly Automation, 37(1), 135-143.
https://doi.org/10.1108/aa-09-2016-122, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53779
Azari, E., Eskandari, H., & Nourmohammadi, A. (2017). Decreasing the Crane Working Time in Retrieving the Containers from a Bay. Scientia Iranica, 24(1), 309-318.
https://doi.org/10.24200/sci.2017.4035, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53781
Alizadeh, M., Eskandari, H., & Sajadifar, S. (2017). A simulation model to analyze an invenntory system for deteriorating items with service level constraint. International Journal of Industrial Engineering: Theory, Applications and Practice, 24(6)
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53783
http://journals.sfu.ca/ijietap/index.php/ijie/article/view/2725
Eskandari, H., Mahmoodi, E., & Eskandari, H. (2016). A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry. Maritime Economics & Logistics, 18, 436-457.
https://doi.org/10.1057/mel.2015.21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53784

Conference Contributions

Eskandari, H. (2018). Reliable Capacitated Single Allocation Hub Network Design under Hub Failure: A Scenario Based Approach. In Proceedings of the International Conference on Industrial Engineering and Operations Management
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53785
http://ieomsociety.org/dc2018/papers/271.pdf

Taught Modules

MN-1524 Essential Analytic Skills for Business

The module will provide an overview of mathematical and statistical methods and concepts, for which an understanding is necessary for basic management/finance/economic analysis, Statistical analysis will primarily be conducted using Excel and online tools.
MN-1524J Essential Analytic Skills for Business

The module will provide an overview of mathematical and statistical methods and concepts, for which an understanding is necessary for basic management/finance/economic analysis, Statistical analysis will primarily be conducted using Excel and online tools.
MN-2517 Statistics for Business

This module extends the first year maths/statistics module taken to provide tools and techniques in statistics using SPSS computer package to perform the analysis.
MN-3024 Data Mining

The module is designed to provide students with practical and applied knowledge of how to conduct data mining activities for business and management purposes. This includes conceptual approaches and key concepts in data mining as well as the statistical and modelling techniques necessary to analyse large data sets to generate meaningful business intelligence. The module takes a data driven approach to operation of data analysis.
MN-M535 Data Mining

The module is designed to provide students with practical and applied knowledge of how to conduct data mining activities for business and management purposes. This includes conceptual approaches and key concepts in data mining as well as the statistical and modelling techniques necessary to analyse large data sets to generate meaningful business intelligence. The module takes a data driven approach to operation of data analysis.

Career History

Research Scientist, Orlando, USA

September 2006 - June 2008

Affiliated Positions

Associate Professor, Tarbiat Modares University

2008 - Present

Other Roles

Senior Consultant, Some National Organizations and Private Companies, Iran

2010 - 2013

Invited Presentations, Lectures and Conferences

“Impact of Business Intelligence on Organizational Performance in Specialized Holding Companies”

July 2017

8th International Conference in Performance-based Budgeting; Tehran, Iran
“Applications of Simulation Modeling in Logistics and Supply Chain Systems”

February 2009

First International and Third National Conference in Logistics and Supply Chain; Tehran, Iran

Dr Hamid Eskandari

Telephone number

Email address

LinkedIn Account

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

MN-1524 Essential Analytic Skills for Business

MN-1524J Essential Analytic Skills for Business

MN-2517 Statistics for Business

MN-3024 Data Mining

MN-M535 Data Mining

Research Scientist, Orlando, USA

Associate Professor, Tarbiat Modares University

Senior Consultant, Some National Organizations and Private Companies, Iran

“Impact of Business Intelligence on Organizational Performance in Specialized Holding Companies”

“Applications of Simulation Modeling in Logistics and Supply Chain Systems”