1-R. Ramezanian, M. Saidi-Mehrabad, D. Rahmani, Flow Shop Scheduling Problem with Missing Operations: Genetic Algorithm and Tabu Search, International Journal of Applied Operational Research, 2011, 1(2): 21-30.
2-R. Ramezanian, D. Rahmani, F. Barzinpour, An aggregate production planning model for two phase production systems: solving with genetic algorithm and tabu search, Expert Systems with Applications, 2012, 39(1): 1256–1263.
3- D. Rahmani, R. Ramezanian, P. Fattahi, M. Heydari, A robust optimization model for multi-product two-stage capacitated production planning under uncertainty, Applied Mathematical Modelling, 2013, 37(20–21): 8957–8971.
4- D. Rahmani, , M. Heydari, A. Makui, M. Zandieh, A new approach to reduce the effects of stochastic disruptions in flexible flow shop problem with stability and nervousness, International Journal of Management Science and Engineering Management, 2014.
5- D. Rahmani, R. Ramezanian, M. Saidi-Mehrabad, Multi-objective flow shop scheduling problem with stochastic parameters: fuzzy goal programming approach, International Journal of Operational Research, 2014, 21(3), 322 - 340.
6- D. Rahmani, , M. Heydari, Robust and stable flow shop scheduling with unexpected arrival of new jobs and uncertain processing times, Journal of Manufacturing System, 2014, 33, 1, 84–92.
7- D. Rahmani, A. Yousefli, R. Ramezanian, A new robust fuzzy approach for aggregate production planning, Scientia Iranica, 2015, 21(6): 2307-2314.
8-Rahmani, D., & Ramezanian, R. (2016). A stable reactive approach in dynamic flexible flow shop scheduling with unexpected disruptions: A case study. Computers & Industrial Engineering, 98, 360-372.
9-Entezaminia, A., Heidari, M., & Rahmani, D. (2016). Robust aggregate production planning in a green supply chain under uncertainty considering reverse logistics: a case study. The International Journal of Advanced Manufacturing Technology, 1-22.
10-Entezaminia, A., Heydari, M., & Rahmani, D. (2016). A multi-objective model for multi-product multi-site aggregate production planning in a green supply chain: Considering collection and recycling centers. Journal of Manufacturing Systems, 40, 63-75.
11-Rahmani, D. (2017). A new proactive-reactive approach to hedge against uncertain processing times and unexpected machine failures in the two-machine flow shop scheduling problems. Scientia Iranica, 24(3), 1571-1584.
12-Ramezanian, R., & Rahmani, D. (2017). MILP formulation and genetic algorithm for flow shop scheduling problem with missing operations. International Journal of Operational Research, 30(3), 321-339.
13-Shadman, A., Bozorgi-Amiri, A., & Rahmani, D. (2017). A mathematical model for vehicle routing and scheduling problem with cross-docking by considering risk. International Journal of Industrial Engineering & Production Research, 28(2), 189-199.
14-Valinejad, F., & Rahmani, D. (2018). Sustainability risk management in the supply chain of telecommunication companies: A case study. Journal of cleaner production, 203, 53-67.
15-Rahmani, D., Zandi, A., Peyghaleh, E., & Siamakmanesh, N. (2018). A robust model for a humanitarian relief network with backup covering under disruptions: a real world application. International journal of disaster risk reduction, 28, 56-68.
16-Rahmani, D., Hajipour, M., & Safaie, N. (2018). A Heuristic Light Robust Approach to Increase the Quality of Robust Solutions. Journal of Industrial and Systems Engineering, 11(1), 0-0.
17-Rahmani, D. (2018). Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions. Annals of Operations Research, 1-29.
18-Abdollahi Moghadam, M., Ebrahimi, S.B., Rahmani, D. (2019). A two-stage robust model for portfolio selection by using goal programming. Journal of Industrial and Systems Engineering, 12(1), 1-17.
19-Ebrahimi, M., & Rahmani, D. (2019). A five-dimensional approach to sustainability for prioritizing energy production systems using a revised GRA method: A case study. Renewable energy, 135, 345-354.
20-Rahmani, D., Zandi, A., Behdad, S., & Entezaminia, A. (2019). A light robust model for aggregate production planning with consideration of environmental impacts of machines. Operational Research, 1-25.
21-Abtahi, Z., Sahraeian, R., & Rahmani, D. (2019). Predictive heuristics to generate robust and stable schedules in single machine systems under disruptions. Scientia Iranica.