Dr MIRZAPOUR AL-E-HASHEM, S., Mohammad j. (Behnam)

Assistant Professor

Pôle : Supply Chain Management and Information Systems

Nationalités :

Teaching

  •  Supply Chain Management

Qualifications

  • Ph.D. Iran University of Science and Technology (2010)
  • M.S. Iran University of Science and Technology (2007)
  • B.S. K. N.Toosi University of Technology (2005)

Work experience

Academic

  • Assistant Professor, Supply Chain Management & Information Systems Academic Area, Rennes School of Business (2013 – Present).
  • Assistant Professor, Amirkabir University of Technology (2015-Present)
  • Research Lecturer (Postdoc fellowship), EM Lyon (2011 – 2013).
  • Visiting Scholar, INSA de Lyon (2010-2011).

Non academic

  • Member board of Directors, Faranegar Pars System, (2009-Present)
  • Project Manager, ISACO (2009 – 2010)
  • Project Manager of layout project, Shayeste-Zar (2008 – 2008)
  • Project Manager of assembly line balancing & motion & time study project, Niku-Sfanj (2008 – 2008)
  • Strategic Planning consultant, IDRO, IPMI (2008 – 2008)
  • Senior Consultant, Business Incubator of Amirkabir University of Technology (2007 – 2007)
  • Project Manager of Process improvement & storage optimization project, Stam-Sanat (2006 – 2006)
  • Project Manager of Process improvement & work studying project, Saze–Puyesh (2005 – 2005)
  • Project Manager of location-allocation project, Ahangari-Novin (2005 – 2005)
  • Project Manager of assembly line balancing & work studying project, Vitana (2004 – 2004)
  • Involved in assembly lines optimization project, Mehr-Cam-Pars (2003 – 2003)

Intellectual contributions

Refereed Articles – Discipline-Based Scholarship

  • A Timajchi, S Mohammad J Mirzapour Al-e-hashem, Y Rekik, Inventory routing problem for hazardous and deteriorating items in the presence of accident risk with transshipment option. International Journal of Production Economics, 2018
  • MA Edalatpour, S Mohammad J Mirzapour Al-e-hashem, B Karimi, B Bahli, Investigation on a novel sustainable model for waste management in megacities: A case study in Tehran municipality. Int Sustainable Cities and Society 36, 286-301, 2018
  • S Mohammad J Mirzapour Al-e-hashem, Y Rekik, EM Hoseinhajlou, A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem. International Journal of Production Economics, 2017
  • Z Sazvar, S Mohammad J Mirzapour Al-e-hashem, K Govindan, B Bahli, A novel mathematical model for a multi-period, multi-product optimal ordering problem considering expiry dates in a FEFO system.Transportation Research Part E: Logistics and Transportation Review 93, 232-261, 2016
  • Mirzapour Al-e-hashem, S Mohammad J and Y Rekik, Multi-product multi-period inventory routing problem with a transshipment option: a green approach. International Journal of Production Economics 157, 80-88, 2014
  • Sazvar, Z., S. Mohammad J. Mirzapour Al-e-hashem, A. Baboli, and M. R. Akbari Jokar, A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products, International Journal of Production Economics : 140-154, 2014
  • Mirzapour Al-e-hashem, S. Mohammad J. , A Baboli, and Z Sazvar, A stochastic aggregate production planning model in a green supply chain: considering flexible lead times and multiple breakpoint purchase and shortage cost functions., European Journal of Operational Research 280 : 26-41, 2013
  • Mirzapour Al-e-hashem, S Mohammad J, H Malekli, and M.B. Aryanezhad, A multi objective robust aggregate production planning in a supply chain under uncertainty. International Journal of Production Economics 134 : 28-42Date:2011
  • Bozorgi, A, MS Jabal-Ameli, and S Mohammad J Mirzapour Al-e-hashem, A multi objective robust stochastic programming model for disaster relief logistics under uncertainty. in OR Spectrum : 1-29, 2011
  • Mirzapour Al-e-hashem, S Mohammad J, A Baboli, SJ Sadjadi, and M.B. Aryanezhad, A multi objective stochastic production-distribution planning problem in an uncertain environment considering risk and workers productivity, Mathematical Problems in Engineering, 2011
  • Mirzapour Al-e-hashem, S Mohammad J, M.B. Aryanezhad, and SJ Sadjadi, An efficient algorithm to solve a multi-objective robust aggregate production planning in an uncertain environment, International Journal of Advanced Manufacturing Technology 58: 765-782, 2011
  • Mirzapour Al-e-hashem, S Mohammad J, M.B. Aryanezhad, and A Jabbarzadeh, A new approach to solve a mixed model assembly line with a bypass sub-line sequencing problem, International Journal of Advanced Manufacturing Technology, 2010
  • Amoozad-Khalili, H, M Ranjbar-Bourani, and S Mohammad J Mirzapour Al-e-hashem, Fuzzy demand consideration in a multi-objective dynamic cell formation problem using a robust scatter search. The Journal of Mathematics and Computer Science : 321-332., 2010
  • Deljoo, V, S Mohammad J Mirzapour Al e hashem, F Deljoo, and MB Aryanezhad, Using genetic algorithm to solve dynamic cell formation problem, Applied Mathematical and Modeling 34 : 1078-1092., 2010
  • Aryanezhad, MB , V Deljoo, and S Mohammad J Mirzapour Al e hashem, Dynamic cell formation and worker assignment problem: a new approach, International Journal of Advanced Manufacturing Technology 41 : 329-342., 2009

Refereed Proceedings – Discipline-Based Scholarship

  • S.M.J. Mirzapour Al-e-hashem, Y. Rekik, « Inventory routing problem for deteriorating items considering transshipment option and accident risk  » , ISIR2016, Budapest, Hungary.
  • S.M.J. Mirzapour Al-e-hashem, Y. Rekik, « A multi-objective robust stochastic model for a transshipment-enabled inventory routing problem in a green supply chain », ISIR2016, Budapest, Hungary.
  • S.M.J. Mirzapour Al-e-hashem, Z. Sazvar, Baboli, Akbari Jokar, Rekik, Capacitated multi-product dynamic lot-sizing problem by considering expiration dates; A new approach, MIM 2013, Saint Petersburg, Russia.
  • Z. Sazvar, S.M.J. Mirzapour Al-e-hashem, Rekik, Baboli, Akbari Jokar, A new up-to level inventory model for deteriorating products with nonlinear holding cost, MIM 2013, Saint Petersburg, Russia, accepted.
  • S.M.J. Mirzapour Al-e-hashem, Z. Sazvar, Baboli, Akbari Jokar, Rekik, A Bi-objective Stochastic Programming Model for a Green Supply Chain with Deteriorating Products, IEEM 2012, Hong Kong.
  • S.M.J. Mirzapour Al-e-hashem, Y. Rekik, A bi-objective two-stage stochastic programming model for Inventory Routing Problem under uncertainty with a Transshipment Option, ILS2012, Quebec, Canada.
  • S.M.J. Mirzapour Al-e-hashem, Y. Rekik, Stochastic programming model for a transshipment enabled Inventory Routing Problem, ISIR2012, Budapest, Hungary.
  • S.M.J. Mirzapour Al-e-hashem, Y. Rekik, Multi-product multi-period inventory routing problem with a transshipment option: a green approach, Innsbruck 2012, Austria.
  • S.M.J. Mirzapour Al-E-Hashem, Sazvar, Baboli, Rekik A Multi-Objective Stochastic Model for a Green Supply Chain planning, INCOM2012 – IFAC, Bucharest, Romania.
  • S.M.J. Mirzapour Al-e-hashem, A. Baboli, M. B. Aryanezhad, Aggregate production planning in a green supply chain by considering flexible lead times and multi breakpoint purchase and shortage cost functions, Computers and Industrial Engineering, CIE2011, Los Angeles, USA.
  • V. Ghezavati, Saidi‐Mehrabad, S.M.J. Mirzapour Al-e-hashem, Bi‐Objective Location – Allocation Problem under. Uncertainty: A Queuing Based Analysis. Second International Conference on Engineering Systems Management. Sharjah 2010, UAE.
  • Amoozad-khalili, Tavakkoli-Moghaddam, S.M.J. Mirzapour Al-e-hashem, Cellular manufacturing system considering machine availability and deteriorating items: A mathematical model, Computers and Industrial Engineering (CIE2010),Tokyo, Japan.
  • Al-e-hashem, S.M.J.M., Aryanezhad, M.B., Malekly, H., Sadjadi, S.J., « Mixed Model Assembly line Balancing Problem under uncertainty », Computers and Industrial Engineering (CIE2009), Troy, France.
  • Mirzapour Al-e-hashem, S.M.J., Malekly, H., Bozorgi-Amiri, A., Aryanejad, M.B. »Applying multi objective modeling to create safe job rotation schedules based upon workers’ skills and idleness » , Computers and Industrial Engineering (CIE2009), Troy, France.