Dr Hamid Eskandari

Darlithydd mewn Gweithrediadau a Dadansoddiadau Strategol (Ymchwil)

Business

+44 (0) 1792 987758

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301
Trydydd Llawr
Yr Ysgol Reolaeth
Campws y Bae

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

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

ResearchGate

Google Scholar

Scopus

Trosolwg

Mae Dr Hamidreza Eskandari yn Ddarlithydd Dadansoddeg Fusnes yn Ysgol Reolaeth Prifysgol Abertawe. Cyn hynny, bu’n Athro Cyswllt ym Mhrifysgol Modares Tarbiat ac yn Wyddonydd Ymchwil yn Red Lambda Inc., Orlando, Florida. Derbyniodd Hamid ei PhD mewn Peirianneg Ddiwydiannol a Systemau Rheoli o Brifysgol Central Florida, Orlando. Mae ei ymchwil wedi ymddangos yn y cyfnodolion blaenllaw sy’n cael eu defnyddio i raddio ymchwil ysgolion busnes, gan gynnwys yr International Journal of Production Research, Transportation Research Part A, International Journal of Production Economics, Journal of Operational Research Society, Journal of Heuristics, a chyfnodolion eraill. Yn ystod ei PhD, bu’n gwasanaethu fel Cyswllt Ymchwil ar ambell brosiect mawr a ariannwyd gan yr NSF a NASA-KSC. Ar hyn o bryd mae’n gwahodd geisiadau gan ymgeiswyr doethurol ym meysydd Dadansoddeg Fusnes a Data.

Meysydd Arbenigedd

Dadansoddeg Data Mawr
Deallusrwydd Artiffisial a Dysgu Peirianyddol
Optimeiddio Esblygiadol Aml-amcan
Gwneud Penderfyniadau ar sail Meini Prawf Lluosog
Efelychu a Modelu Ystadegol
Gweithrediadau Gofal Iechyd
Logisteg a’r Gadwyn Gyflenwi
Dadansoddi Systemau

Uchafbwyntiau Gyrfa

Diddordebau Addysgu

Mae Dr Eskandari yn dysgu ar lefel israddedig ac ôl-raddedig ym meysydd Dadansoddeg Fusnes a Gweithrediadau Strategol, gan gynnwys Dysgu Peirianyddol, Dadansoddeg a Modelu Ystadegol ar gyfer Busnes.

Ymchwil Prif Wobrau Cydweithrediadau

Cyhoeddiadau

Uchafbwyntiau Ymchwil

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

Holl Ymchwil

Erthyglau Cylchgronau

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

Cyfraniadau Cynadleddau

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

Modiwlau a Addysgir

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.

Hanes Gyrfa

Gwyddonydd Ymchwil, Orlando, UDA

Medi 2006 - Mehefin 2008

Swyddi Cysylltiedig

Athro Cyswllt, Prifysgol Modares Tarbiat

2008 - Presennol

Rolau Eraill

Uwch Ymgynghorydd, Sefydliadau Cenedlaethol a Chwmnïau Preifat, Iran

2010 - 2013

Cyflwyniadau, Darlithoedd a Chynadleddau a wahoddwyd

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

Gorffennaf 2017

8fed Cynhadledd Ryngwladol Cyllidebu ar sail Perfformiad; Tehran, Iran
“Applications of Simulation Modeling in Logistics and Supply Chain Systems”

Chwefror 2009

Cynhadledd Ryngwladol gyntaf a Thrydedd Cynhadledd Genedlaethol Logisteg a’r Gadwyn Gyflenwi; Tehran, Iran

Dr Hamid Eskandari

Rhif ffôn

Cyfeiriad ebost

LinkedIn Account

Dolenni Ymchwil

Trosolwg

Meysydd Arbenigedd

Uchafbwyntiau Gyrfa

Uchafbwyntiau Ymchwil

Holl Ymchwil

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

Gwyddonydd Ymchwil, Orlando, UDA

Athro Cyswllt, Prifysgol Modares Tarbiat

Uwch Ymgynghorydd, Sefydliadau Cenedlaethol a Chwmnïau Preifat, Iran

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

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