Publications
Journal Publications
J.17 M Heydar, E Mardaneh & R Loxton, Approximate dynamic programming for an energy-efficient parallel machine scheduling problem, European Journal of Operational Research 302(1), 363-380, 2022
J.16 R Esmaeilbeigi, R Middleton, R García-Flores & M Heydar, Benders decomposition for a reverse logistics network design problem in the dairy industry, Annals of Operations Research, forthcoming.
J.15 M Heydar, MM O’Reilly, E Trainer, M Fackrell, PG Taylor, A Tirdad, A stochastic model for the patient-bed assignment problem with random arrivals and departures, Annals of Operations Research, 315(2), 813-845, 2022.
J.14 AK Abera, MM O’Reilly, M Fackrell, BR Holland & M Heydar, On the decision support model for the patient admission scheduling problem with random arrivals and departures: A solution approach. Stochastic Models 36(2), 312-336, 2020.
J.13 P Paam, R Berretta, M Heydar & R García-Flores, The impact of inventory management on economic and environmental sustainability in the apple industry, Computers and Electronics in Agriculture 163, 104848, 2019
J.12 F Ghazi Nezami & M Heydar, Energy-aware economic production quantity model with variable energy pricing, Operational Research 19(1), 201-218, 2019
J.11 M Heydar, J Yu, Y Liu & MEH Petering , Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution, Journal of Advanced Transportation 50(7), 1314-1335, 2016
J.10 S Alavi, N Azad, M Heydar & H Davoudpour , Integrated production, inventory, and location-allocation decisions in designing supply chain networks, International Journal of Information Systems and Supply Chain Management 9(4), 22-42, 2016
J.9 MEH Petering, M Heydar & DR Bergmann, Mixed-integer programming for railway capacity analysis and cyclic, combined train timetabling and platforming, Transportation Science 50(3), 892-909, 2016
J.8 M Heydar, MEH Petering & DR Bergmann, Mixed integer programming for minimizing the period of a cyclic railway timetable for a single track with two train types, Computers & Industrial Engineering 66(1), 171-185, 2013
J.7 S Ebrahimnejad, S Meysam Mousavi, R Tavakkoli-Moghaddam & M Heydar, Risk ranking in mega projects by fuzzy compromise approach: a comparative analysis, Journal of Intelligent & Fuzzy Systems 26(2), 949-959, 2014
J.6 S Meysam Mousavi, R Tavakkoli-Moghaddam, M Heydar & S Ebrahimnejad, Multi-Criteria Decision Making for plant location selection: an integrated Delphi-AHP-PROMETHEE methodology, Arabian Journal for Science and Engineering 38(5), 1255-1268,2013 [link]
J.5 S Ebrahimnejad, SM Mousavi, R Tavakkoli-Moghaddam & M Heydar, Evaluating high risks in large-scale projects using an extended VIKOR method under a fuzzy environment,International Journal of Industrial Engineering Computations 3(3), 463-476, 2012 [pdf]
J.4 R Tavakkoli-Moghaddam, SM Mousavi & M Heydar, An integrated AHP-VIKOR methodology for plant location selection, International Journal of Engineering Transaction B 24(2), 127-137, 2011
J.3 R Tavakkoli-Moghaddam, M Heydar & SM Mousavi, A Hybrid genetic algorithm for a bi-objective scheduling problem in a flexible manufacturing cell, International Journal of Engineering Transaction A 23(3-4), 235-252, November 2010
J.2 J Shahrabi, SS Mousavi & M Heydar, Supply chain demand forecasting: a comparison of machine learning techniques and traditional methods, Journal of Applied Sciences 9(3), 521- 527, 2009
J.1 MT Taghavifard, M Heydar & SS Mousavi, A genetic algorithm for scheduling flexible manufacturing cells, Journal of Applied Sciences 9(1), 97-104, 2009
Peer reviewed conference proceedings
C.15 AK Abera, MM O’Reilly, BR Holland, M Fackrell & M Heydar, Decision support model for the patient admission scheduling problem with random arrivals and departures, Tenth International Conference on Matrix-Analytics Methods in Stochastic Models, Hobart, TAS, Australia, 13-15 February, 2019, pp 10-14 [pdf]
C.14 F Ghazi Nezami & M Heydar, Batch Sizing in Sustainable Production Systems with Imperfect Quality, Proceedings of the International Conference on Industrial Engineering and Operations Management, Washington DC, USA, September 27-29, 2018, pp 877-885 [pdf]
Best Track paper in Operations Management
C.13 F Ghazi Nezami, M Heydar & R Berretta, Optimizing production schedule with energy consumption and demand charges in parallel machines setting, 8th Multidisciplinary International Conference on Scheduling : Theory and Applications (MISTA 2017), Kuala Lumpur , Malaysia, 5-8 Dec, 2017
C.12 R Esmaeilbeigi, A Eshragh, R Garcia-Flores & M Heydar, Whey reverse logistics network design: a stochastic hierarchical facility location model, Proceedings of the 22nd International Congress on Modelling and Simulation (MODSIM2017), Hobart, Australia, 3-8 Dec, 2017, pp 1316-1322 [pdf]
C.11 P Paam, R Berretta & M Heydar, Designing a recycling supply chain network for bottle manufacturing factory, IEEE International Conference on Industrial Engineering and Engineering Management, Bali, Indonesia, 4-7 December, 2016
C.10 R Tavakkoli-Moghaddam, M Heydar & SM Mousavi, A hybrid GA for simultaneous scheduling of an FMC under multiple objective, 5th International Conference on Applied Operations Research, Lisbon, Portugal, 29-31 July, 2013
C.9 M Heydar, Y Liu & MEH Petering, Evacuating highly populated urban zones during emergency: a transit-based solution and optimal operational strategies, Transport Chicago, Chicago, USA, 3 June, 2011
C.8 SS Mousavi, F Ghazi Nezami, M Heydar & MB Aryanejad, A new hybird fuzzy group decision making and factor analysis for selecting maintenance strategy, 39th International Conference on Computers and Industrial Engineering (CIE39), Troyes, France, 6-8 July, 2009
C.7 R Tavakkoli-Moghaddam, M Heydar & SS Mousavi, A location-routing model with single commodity assignment, 6th International Industrial Engineering Conference, Sharif University of Technology, Tehran, Iran, 18-19 February, 2009
C.6 MT Taghavifard, FR Sanati & M Heydar, A hybrid genetic algorithm technique for scheduling flexible manufacturing cells, 6th International Industrial Engineering Conference, Sharif University of Technology, Tehran, Iran, 18-19 February, 2009
C.5 HR Mojaveri, SS Mousavi, M Heydar & A Aminian, Validation and selection between machine learning technique and traditional methods to reduce bullwhip effects: a data mining approach, International Conference on Industrial Engineering, Dubai, UAE, 28-30 January, 2009 [link][pdf]
C.4 R Tavakkoli-Moghaddam, H Panahi & M Heydar, Minimization of weighted tardiness and makespan in open shop environment by a novel hybrid multi-objective meta-heuristic, IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 8-11 December, 2008
C.3 M Heydar, SM Moosavi, R Tavakkoli-Moghaddam & SMH Mojtahedi, Fuzzy multi-criteria decision making method for temporary storage design in industrial plants, IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, 8-11 December, 2008
C.2 SS Mousavi, M Heydar, SMH Mojtahedi & SM Moosavi, A fuzzy multi-objective decision making approach for locating undesirable facilities and hazardous materials, IEEE 4th International Conference on Management Innovation Technology, Bangkok, Thailand, 21-24 September, 2008
C.1 MT Taghavifard, SS Mousavi, M Heydar & SMH Mojtahedi, A new fuzzy multi-objective linear programming model for locating undesirable facilities, 5th International Industrial Engineering Conference, Tehran, Iran, 18-20 December, 2007
Book Chapters
B.3 F Evazabadian , R Berretta & M Heydar, A dynamic lot-sizing model under vendor managed inventory (VMI), Data and Decision Sciences in Action 2: Proceedings of the ASOR/DORS Conference 2018, 4-15, 2021
B.2 P Paam, R Berretta & M Heydar, An integrated loss-based optimization model for apply supply chain, Operations Research Proceedings 2017, 663-669, 2018
B.1 P Paam, R Berretta, M Heydar, RH Middleton, R García-Flores & P Juliano, Planning models to optimize the agri-fresh food supply chain for loss minimization: A review, Reference Module in Food Science, 1-16, 2016
Presentations and Talks
P.6 M Heydar & MM O’Reilly, Markovian decision-support model for patient-to-ward assignment problem in a random environment, Tenth International Conference on Matrix-Analytics Methods in Stochastic Models, Hobart, TAS, Australia, 13-15 February, 2019
P.5 M Heydar & MEH Petering, Cyclic timetabling and platforming of mixed train types on a bidirectional railway line, INFORMS Annual Meeting, San Francisco, CA, USA, 9-12 November, 2014
P.4 M Heydar, Y Liu & MEH Petering, A MIP model for strategic evacuation planning with pedestrian guidance and bus routing, INFORMS Annual Meeting, Minneapolis, MN, USA, 6-9 October, 2013
P.3 M Heydar, MEH Petering & D Bergmann, Mixed integer programming for capacity analysis of a single track railway part II: generalized model, INFORMS Annual Meeting, Phoenix, AZ, USA, 14-17 October, 2012
P.2 Y Liu, M Heydar & MEH Petering, A two-level transit-based evacuation model for planning of emergency in highly populated urban zones, 2nd International Conference on Evacuation Modeling and Management, Northwestern University, Evanston, IL, USA, 13-15 August, 2012
P.1 M Heydar, Y Liu & MEH Petering, An integrated-pedestrian guiding and bus routing model for emergency evacuation planning, INFORMS annual Meeting, Charlotte, NC, USA, 13-16 November, 2011