Mohammad Marufuzzaman

  • Department of Industrial and Systems Engineering


Dr. Mohammad Marufuzzaman received his Ph.D. in Industrial & Systems Engineering (ISE) from Mississippi State University (MSU) in 2014. He then joined the department as an Assistant Professor in August 2015. His main areas of interest lie in developing mathematical models and solution approaches to solve various stochastic programming and discrete optimization problems, with a particular application in agricultural supply chain network design problems, network interdependency, stochastic/robust energy system design, and many others. Till now, Dr. Maruf secured ~$7.8 million research grants (from federal and industry), published 52 journal articles, including articles in Transportation Science, IISE Transactions, and Annals of Operations Research, and graduated 7 Ph.D. and 4 masters’ students. Dr. Maruf is currently serving as the chair of the Transportation Working Group at MSU. He is a member of INFORMS and IISE.


  1. Nur F., Aboytes M., Castillo-Villar K.K., Marufuzzaman M. (2020) “Biofuel Supply Chain Network Design with Biomass Quality Considerations." IISE Transactions, in-press.
  2. Hossain N.U.I., Amrani S.E., Jaradat R., Marufuzzaman M., Buchanan R.K., Rinaudo C., Hamilton M. (2020) “Modelling and Assessing Interdependencies between Critical Infrastructures using Bayesian Network: A Case Study of Inland Waterway Port and Surrounding Supply Chain Network." Reliability Engineering and System Safety, 198, 106898. 
  3. Alizadeh M., Ma J., Marufuzzaman M., Yu F. (2019) “Sustainable Olefin Supply Chain Network Design under Seasonal Feedstock Supplies and Uncertain Carbon Tax Rate." Journal of Cleaner Production, 222:280-299. 
  4. Poudel S., Quddus M.A., Marufuzzaman M., Bian L., Burch R. (2019) “Managing Congestion in a Multi-Modal Transportation Network under Biomass Supply Uncertainty." Annals of Operations Research, 273:739-781. 
  5. Chowdhury S., Shahvari O., Marufuzzaman M., Francis J., Bian L. (2019) “Sustainable Design of On-Demand Supply Chain Network for Additive Manufacturing." IISE Transactions, 51(7):744-765. (Featured in the Research section of the June 2019 IISE Magazine) 
  6. Hossain N.U.I., Nur F., Jaradat R., Hosseini M., Marufuzzaman M., Puryear S., Buchanan R.K. (2019) “Metrics for Assessing Overall Performance of Inland Waterway Ports: A Bayesian Network Based Approach." Complexity, 2019:1-17. 
  7. Poudel S., Marufuzzaman M., Quddus M.A., Chowdhury S., Bian L., Smith B. (2018) “Designing a Reliable and Congested Multi-modal Facility Location Problem for Biofuel Supply Chain Network." Energies, 11(7):1-24. 
  8. Quddus M.A., Chowdhury S., Marufuzzaman M., Yu F., Bian L. (2018) “A Two-Stage Chance- constrained Stochastic Programming Model for a Bio-fuel Supply Chain Network." International Journal of Production Economics, 195:27-44. 
  9. Marufuzzaman M., Eksioglu S.D. (2017) “Designing a Reliable and Dynamic Multi-Modal Transportation Network for Biofuel Supply Chain." Transportation Science, 51(2):494-517. 
  10. Quddus M.A., Hossain N.U.I., Marufuzzaman M., Jaradat R., Roni M.S. (2017) “Sustainable Network Design for Multi-Purpose Pellet Processing Depots under Biomass Supply Uncertainty." Computers & Industrial Engineering, 110:462-483. 
  11. Marufuzzaman M., Eksioglu S.D. (2017) “Managing Congestion in Supply Chains via Dynamic Freight Routing: An Application in the Biomass Supply Chain." Transportation Research Part E, 99:54-76. 


Dr. Maruf and his team are currently investigating to develop new and innovative COVID-19 specific training modules to keep the meat processing workforce safe during this pandemic situation. This preliminary observation will allow us to redesign the activities/operations, add additional layers of safety measures for the vulnerable workforce and the operations (e.g., divider shield), optimal locations for the hand hygiene within the same production facility, and many more. Upon virtually testing the safety procedures, the team will provide appropriate training and guidance to the workforce to better practice the safety measures under this pandemic situation. The end goal is to examine how improving worker safety can ensure continuous food supply and possibly prevent disrupting the supply chain network, which has even a far-reaching impact. The knowledge gained from this work can be used to improve the supply chain resiliency of other labor-intensive food/agricultural suppliers.

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