Dr. Hamed Fazlollahtabar
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Dr. Hamed Fazlollahtabar

Professor
Damghan University, Damghan, Iran


Highest Degree
PostDoc. in Robotic Science from Sharif University of Technology, Iran

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Biography

Dr. Hamed Fazlollahtabar is currently working as Lecturer at Iran University of Science and Technology, Tehran, Iran. Hamed Fazlollahtabar had graduated in BSc and MSc of Industrial Engineering at Mazandaran University of Science and Technology, Babol, Iran at 2008 and 2010, respectively. He received his PhD of Industrial and Systems Engineering at Iran University of Science and Technology, Tehran, Iran at 2015. He has completed the postdoctoral research fellowship at Sharif University of Technology, Tehran, Iran, in the area of Reliability Engineering for Complex Systems, in 2017. He has joined Department of Industrial Engineering, Damghan University since 2017. He is in the editorial board of several journals and technical committee of conferences. His research interests are production robot path planning, reliability engineering, supply chain planning, and business intelligence and analytics. He has published over 280 research papers in international book chapters, journals, and conferences. Also, he published eight books in which six of them are internationally distributed to the academicians.

Area of Interest:

Business Management and Accounting
100%
Entrepreneurship
62%
Supply Chain Management
90%
Operations Research
75%
Marketing
55%

Research Publications in Numbers

Books
10
Chapters
6
Articles
225
Abstracts
80

Selected Publications

  1. Tadayonirad, S., H. Seidgar, H. Fazlollahtabar and R. Shafaei, 2019. Robust scheduling in two-stage assembly flow shop problem with random machine breakdowns: Integrated meta-heuristic algorithms and simulation approach. Assembly Automat., (In Press). 10.1108/AA-10-2018-0165.
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  2. Komleh, A.A. and H. Fazlollahtabar, 2019. Stochastic multi-criteria acceptability analysis for technology transfer evaluation: A case study in construction digging. Int. J. Math. Eng. Manage. Sci., 4: 1031-1039.
  3. Golneshini, F.P. and H. Fazlollahtabar, 2019. Meta-heuristic algorithms for a clustering-based fuzzy bi-criteria hybrid flow shop scheduling problem. Soft Comput. 10.1007/s00500-019-03767-0.
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  4. Gholizadeh, H., H. Fazlollahtabar and R. Gholizadeh, 2019. A modified branch and bound algorithm for a vague flow-shop scheduling problem. Iran. J. Fuzzy Syst., 16: 55-64.
  5. Gholizadeh, H. and H. Fazlollahtabar, 2019. Production control process using integrated robust data envelopment analysis and fuzzy neural network. Int. J. Math. Eng. Manage. Sci., 4: 580-590.
  6. Fazlollahtabar, H., A. Smailbasic and Z. Stevic, 2019. Fucom method in group decision-making: Selection of forklift in a warehouse. Decision Making: Applic. Manage. Eng., 1: 49-65.
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  7. Fazlollahtabar, H., 2019. Triple state reliability measurement for a complex autonomous robot system based on extended triangular distribution. Measurement, 139: 122-126.
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  8. Fazlollahtabar, H., 2019. Comparative simulation study for configuring turning point in multiple robot path planning: Robust data envelopment analysis. Robotica. 10.1017/S0263574719001164.
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  9. Fazlollahtabar, H., 2019. An effective mathematical programming model for production automatic robot path planning. Open Trans. J., 13: 11-16.
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  10. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2019. Cost Engineering and Pricing in Autonomous Manufacturing Systems. EMERALD Publishing, USA., ISBN: 978-1-78973- 470-6.
  11. Arabshahi, H. and H. Fazlollahtabar, 2019. Risk analysis for innovative activities in production systems using product opportunity gap concept. TQM J., (In Press). 10.1108/TQM-11-2018-0163.
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  12. Ziaei, N. and H. Fazlollahtabar, 2018. Designing a customer relationship management system in online business. Comput. Rev. J., 2: 299-312.
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  13. Vasiljevic, M., H. Fazlollahtabar, Z. Stevic and S. Veskovic, 2018. A rough multicriteria approach for evaluation of the supplier criteria in automotive industry. Decision Making: Applic. Manage. Eng., 1: 82-96.
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  14. Rahimi, M. and H. Fazlollahtabar, 2018. Optimization of a closed loop green supply chain using particle swarm and genetic algorithms. Jordan J. Mech. Ind. Eng., 12: 77-91.
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  15. Gholizadeh, H., N. Javadian and H. Fazlollahtabar, 2018. Fuzzy regression integrated with genetic-tabu algorithm for prediction and optimization of a turning process. Int. J. Adv. Manuf. Technol., 96: 2781-2790.
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  16. Fazlollahtabar, H., 2018. Scheduling of multiple autonomous guided vehicles for an assembly line using minimum cost network flow. J. Optim. Ind. Eng., 11: 185-193.
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  17. Fazlollahtabar, H., 2018. Risk-based minimum cost flow model for AGVs path planning. Open Autom. Control Syst. J., 10: 1-7.
  18. Fazlollahtabar, H., 2018. Operations and inspection cost minimization for a reverse supply chain. Operat. Res. Eng. Sci.: Theory Applic., 1: 91-107.
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  19. Fazlollahtabar, H., 2018. Lagrangian relaxation method for optimizing delay of multiple autonomous guided vehicles. Transp. Lett., 10: 354-360.
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  20. Fazlollahtabar, H., 2018. Autonomous robot path planning and internet of things. Robotics Automat. Eng. J., 1: 1-4.
  21. Fazlollahtabar, H. and S.T.A. Niaki, 2018. Modified branching process for the reliability analysis of complex systems: Multiple-robot systems. Commun. Stat.-Theory Methods, 47: 1641-1652.
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  22. Fazlollahtabar, H. and S.T.A. Niaki, 2018. Fault tree analysis for reliability evaluation of an advanced complex manufacturing system. J. Adv. Manuf. Syst., 17: 107-118.
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  23. Fazlollahtabar, H. and S. Hassanli, 2018. Hybrid cost and time path planning for multiple autonomous guided vehicles. Applied Intell., 48: 482-498.
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  24. Farjoo, M., H. Fazlollahtabar and M.T. Ashoori, 2018. Design of a recommender system for online shopping using decision tree and APRIORI algorithm: Case study in Digikala store. J. Software Eng. Intell. Syst., 3: 236-244.
  25. Dorabati, S.E., A.Z. Hamadani and H. Fazlollahtabar, 2018. Investigating the effects of operators on warranty cost under sales delay conditions. J. Qual. Maintenance Eng., 24: 244-259.
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  26. Bagherian, S., H. Fazlollahtabar and I. Mahdavi, 2018. Integrated information exchange for logistics systems based on internet of things. Int. J. Robotic Eng., 3: 1-6.
  27. Bagheri, E., H. Fazlollahtabar and M.T. Ashoori, 2018. Product pricing with marketing data under risk using business intelligence. Rev. Intell. Competitiva, 8: 1-14.
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  28. Arabshahi, H. and H. Fazlollahtabar, 2018. Classifying innovative activities using decision tree and Gini index. Int. J. Innov. Technol. Manage., Vol. 15. 10.1142/S0219877018500256.
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  29. Abbasian, P., N. Mahdavi-Amiri and H. Fazlollahtabar, 2018. Multiple utility constrained multi-objective programs using Bayesian theory. J. Ind. Eng. Int., 14: 111-118.
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  30. Zareian, A., H. Fazlollahtabar and I. Mahdavi, 2017. Investigating the effect of functional and flexible information systems on supply chain operation: Iran automotive industry. Inform. Syst. Telecommun., 5: 183-191.
  31. Katiraee, N., B. Shirazi and H. Fazlollahtabar, 2017. Fuzzy multi-objective supplier selection considering production requirements in resilient supply chain: Case study in steel industry. Int. J. Inform. Syst. Supply Chain Manage., 10: 65-83.
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  32. Hashemi, S.F., I. Mahdavi and H. Fazlollahtabar, 2017. Fuzzy design logic for value creation in the digital society. Asian J. Inform. Commun., 9: 79-86.
  33. Fazlollahtabar, H., 2017. Supply Chain Management Models: Forward, Reverse, Uncertain and Intelligent-Foundations with Case Studies. CRC Press, USA., ISBN-10: 1138570176, Pages: 380.
  34. Fazlollahtabar, H. and S.T.A. Niaki, 2017. Reliability Models of Complex Systems for Robots and Automation. CRC Press, USA., ISBN-10: 1138569631, Pages: 93.
  35. Fazlollahtabar, H. and S.T.A. Niaki, 2017. Integration of fault tree analysis, reliability block diagram and hazard decision tree for industrial robot reliability evaluation. Ind. Robot, 44: 754-764.
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  36. Fazlollahtabar, H. and S.T.A. Niaki, 2017. Binary state reliability computation for a complex system based on extended bernoulli trials: Multiple autonomous robots. Qual. Reliab. Eng. Int., 33: 1709-1718.
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  37. Arabshahi, H. and H. Fazlollahtabar, 2017. A DEA-based framework for innovation risk management in production systems: Case study of innovative activities in industries. Int. J. Environ. Sci. Technol., 14: 2193-2204.
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  38. Abedi, M., H. Seidgar and H. Fazlollahtabar, 2017. Hybrid scheduling and maintenance problem using artificial neural network based meta-heuristics. J. Modell. Manage., 12: 525-550.
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  39. Shojaeifar, A., H. Fazlollahtabar and I. Mahdavi, 2016. Decomposition versus minimal path and cuts methods for reliability evaluation of an advanced robotic production system. J. Autom. Mobile Rob. Intell. Syst., 10: 52-57.
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  40. Seidgar, H., M. Zandieh, H. Fazlollahtabar and I. Mahdavi, 2016. Simulated imperialist competitive algorithm in two-stage assembly flow shop with machine breakdowns and preventive maintenance. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf., 230: 934-953.
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  41. Seidgar, H., M. Kiani and H. Fazlollahtabar, 2016. Genetic and artificial bee colony algorithms for scheduling of multi-skilled manpower in combined manpower-vehicle routing problem. Prod. Manuf. Res., 4: 133-151.
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  42. Saidi-Mehrabad, M. and H. Fazlollahtabar, 2016. Monte Carlo simulation to compare Markovian and neural network models for reliability assessment in multiple AGV manufacturing system. J. Optimiz. Ind. Eng., 9: 75-86.
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  43. Kazemi, Z., A.J. Samimi and H. Fazlollahtabar, 2016. Risk analysis for knowledge sharing in tax payment. Int. J. Knowledge-Based Organiz., 6: 20-37.
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  44. Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2016. Meta modelling of job satisfaction effective factors for improvement policy making in organizations. Benchmarking: Int. J., 23: 388-405.
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  45. Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2016. A heuristic algorithm to approximate dynamic program of a novel new product development process. J. King Saud Univ.-Eng. Sci., 28: 84-91.
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  46. Fazlollahtabar, H., 2016. An integration between fuzzy PROMETHEE and fuzzy linear program for supplier selection problem: Case study. J. Applied Math. Modell. Comput., 1: 1-8.
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  47. Fazlollahtabar, H. and H. Fazlollahtabar, 2016. Parallel autonomous guided vehicle assembly line for a semi-continuous manufacturing system. Assembly Autom., 36: 262-273.
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  48. Arabshahi, H. and H. Fazlollahtabar, 2016. Iterative dichotomiser decision tree for risk analysis in innovation management. Int. J. Risk Contingency Manage., 5: 16-26.
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  49. Torkjazi, M. and H. Fazlollahtabar, 2015. Applying a utility based fuzzy probabilistic α-cut method to optimize a constrained multi objective model. Creative Math. Inform., 24: 217-226.
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  50. Torkjazi, M. and H. Fazlollahtabar, 2015. A fuzzy probabilistic maximum technique to optimize an unconstrained utility based multi objective model. Ind. Eng. Manage., Vol. 3. 10.4172/2169-0316.1000147.
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  51. Salarian, R. and H. Fazlollahtabar, 2015. Multioptimization in a cellular manufacturing system having stochastic parameters considering pricing. J. Manuf. Sci. Prod., 15: 257-265.
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  52. Panahifar, F., C. Heavey, P.J. Byrne and H. Fazlollahtabar, 2015. A framework for Collaborative Planning, Forecasting and Replenishment (CPFR) state of the art. J. Enterprise Inform. Manage., 28: 838-871.
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  53. Koulaeian, M., H. Seidgar, M. Kiani and H. Fazlollahtabar, 2015. A multi depot simultaneous pickup and delivery problem with balanced allocation of routes to drivers. Int. J. Ind. Eng., 22: 294-313.
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  54. Fazlollahtabar, H.H. and M. Mohseninejad, 2015. A neural network decision support system for analysing markets. J. Adv. Manage. Sci. Inform. Syst., 1: 38-46.
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  55. Fazlollahtabar, H., P. Abbasian and N. Mahdavi-Amiri, 2015. Modelling and optimization of a non-constrained multi-objective problem having multiple utility functions using Bayesian theory. J. Inform. Sci. Comput. Technol., 4: 332-342.
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  56. Fazlollahtabar, H., M. Saidi-Mehrabad and J. Balakrishnan, 2015. Mathematical optimization for earliness/tardiness minimization in a multiple automated guided vehicle manufacturing system via integrated heuristic algorithms. Rob. Auton. Syst., 72: 131-138.
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  57. Fazlollahtabar, H., H. Fazlollahtabar, M. Saidi-Mehrabad, M. Saidi-Mehrabad, E. Masehian and E. Masehian, 2015. Mathematical model for deadlock resolution in multiple AGV scheduling and routing network: A case study. Ind. Robot: Int. J., 42: 252-263.
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  58. Fazlollahtabar, H., B. Shirazi and A.P. Ganji, 2015. A framework for knowledge sharing of enterprise resources. Int. J. Inform. Comput. Sci., 4: 9-18.
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  59. Fazlollahtabar, H., 2015. Innovation Management and Creativity. Lambert Academic Publishing, Germany, ISBN: 978-3-659-62984-6, Pages: 196.
  60. Fazlollahtabar, H., 2015. Capacitated location-allocation hub covering problem in manufacturing-customer interaction. J. Applied Comput. Math., Vol. 4. 10.4172/2168-9679.1000243.
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  61. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Risk assessment for multiple automated guided vehicle manufacturing network. Rob. Auton. Syst., 74: 175-183.
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  62. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Optimal path in an intelligent AGV-based manufacturing system. Transp. Lett., 7: 219-228.
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  63. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2015. Autonomous Guided Vehicles: Methods and Models for Optimal Path Planning. Springer International Publishing, Switzerland, ISBN: 978-3-319-14746-8, Pages: 203.
  64. Asadi, M., H. Fazlollahtabar and B. Shirazi, 2015. An enterprise management decision making system based on possibility theory. Int. J. Enterprise Inform. Syst., 11: 1-27.
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  65. Asadi, M., H. Fazlollahtabar and B. Shirazi, 2015. A sales management decision making system based on possibility theory. J. Inform. Technol. Software Eng., Vol. 5. 10.4172/2165-7866.1000159.
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  66. Abbasian, M., H.E. Nosratabadi and H. Fazlollahtabar, 2015. Applying an intelligent dynamic genetic algorithm for solving a multi-objective flexible job shop scheduling problem with maintenance considerations. J. Applied Comput. Math., Vol. 4. 10.4172/2168-9679.1000227.
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  67. Torkjazi, M., H. Fazlollahtabar and I. Mahdavi, 2014. Optimizing an unconstrained multi objective model using a utility based fuzzy probabilistic α-cut method. J. Intell. Fuzzy Syst., 26: 2927-2936.
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  68. Taheri, M., B. Shirazi and H. Fazlollahtabar, 2014. QoS-based web services composition using water flow-like algorithm. Inform. Eng., 3: 27-38.
  69. Taheri, M., B. Shirazi and H. Fazlollahtabar, 2014. QoS-based web services composition using an improved genetic algorithm. Int. J. Bus. Econ. Manage. Stud., 1: 35-53.
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  70. Seidgar, H., M. Kiani, M. Abedi and H. Fazlollahtabar, 2014. An efficient imperialist competitive algorithm for scheduling in the two-stage assembly flow shop problem. Int. J. Prod. Res., 52: 1240-1256.
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  71. Ramazanpoor, E., H. Fazlollahtabar and R.O. Mohammadi, 2014. Pricing in supply chain based on activity-based costing and earned value. Int. J. Adv. Ind. Eng. Manage., 3: 87-92.
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  72. Mahmoudi, H. and H. Fazlollahtabar, 2014. Mathematical modeling for optimal facility location and product flow in a multi-layer multi-product reverse supply chain. Int. J. Adv. Ind. Eng. Manage., 3: 93-100.
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  73. Mahmoudi, H. and H. Fazlollahtabar, 2014. An integer linear programming for a comprehensive reverse supply chain. Cogent Eng., Vol. 1. 10.1080/23311916.2014.939440.
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  74. Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and M.H. Yahyanejad, 2014. A virtual intelligent creativity matrix for employees clustered interactivity network with knowledge development program. Int. J. Knowl. Based Organ., 4: 65-79.
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  75. Hosseini, Z., H. Fazlollahtabar and I. Mahdavi, 2014. Waste management in reverse supply chain considering pricing. Rev. Ind. Eng. Lett., 1: 1-15.
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  76. Hedayati, A., B. Shirazi and H. Fazlollahtabar, 2014. An assessment model for the state of organizational readiness in service oriented architecture implementation based on fuzzy logic. Comput. Sci. Inform. Technol., 2: 1-9.
  77. Fazlollahtabar, H., 2014. Quantitative Methods in E-Learning. LAP LAMBERT Academic Publishing, Germany, ISBN: 3659553670.
  78. Fazlollahtabar, H. and E. Aghasi, 2014. An integrated stochastic multi-criteria acceptability analysis and mathematical optimisation for service marketing. Int. J. Serv. Operat. Manage., 17: 38-49.
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  79. Alikhani, M. and H. Fazlollahtabar, 2014. A mathematical model for optimizing organizational learning capability. Adv. Oper. Res., 10.1155/2014/490210.
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  80. Shahri, S., H. Fazlollahtabar, I. Mahdavi and Z. Rahmani, 2013. Improvement model for strategic planning in the frame of earned value using mathematical clustering. Universal J. Ind. Bus. Manage., 1: 8-18.
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  81. Salarian, R., H. Fazlollahtabar and I. Mahdavi, 2013. Inter-cell movement minimisation in a cellular manufacturing system having stochastic parameters. Int. J. Serv. Operat. Manage., 17: 67-87.
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  82. Sadeghi, S., H. Fazlollahtabar, B. Shirazi and I. Mahdavi, 2013. Mathematical modeling of a multi-layer multi-product reverse supply chain considering defects and pricing. Int. J. Sens. Comput. Control, 3: 15-28.
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  83. Olya, M.H., H. Fazlollahtabar and I. Mahdavi, 2013. Shortest path problem with gamma probability distribution arc length. Int. J. Applied Operat. Res., 2: 55-66.
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  84. Olya, M.H., B. Shirazi and H. Fazlollahtabar, 2013. Adapted dynamic program to find shortest path in a network having normal probability distribution arc length. Int. J. Adv. Ind. Eng. Manage., 2: 5-10.
  85. Nosratabadi, H.E., R. Shabani and H. Fazlollahtabar, 2013. A hybrid FGAHP-ME methodology for evaluating science and technology parks with pairwise comparison analysis. Int. J. Ind. Syst. Eng., 13: 133-153.
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  86. Niroumand-Bahramnia, P., H. Fazlollahtabar, I. Mahdavi and Z. Rahmani, 2013. A model for pricing under risk in electronic marketing. Universal J. Ind. Bus. Manage., 1: 19-27.
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  87. Mohammadi, L., H. Fazlollahtabar and I. Mahdavi, 2013. Clustering return items in a multi-layer multi-product reverse supply chain using data mining. Open J. Math. Model., 1: 136-145.
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  88. Mehrmanesh, H., S. Parikhi and H. Fazlollahtabar, 2013. Modelling the customer relationship management in a multi-layer supply chain considering product life cycle. Int. J. Serv. Operat. Manage., 16: 525-547.
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  89. Mehrmanesh, H., M. Aghalatifi and H. Fazlollahtabar, 2013. Strategic planning for an integrated marketing procedure in a multi-layer multi-product supply chain. Manage. Sci. Pract., 1: 86-105.
  90. Mehrmanesh, H., B. Pazhoohi and H. Fazlollahtabar, 2013. Proposing a framework for performance improvement in a bi-direction multi-layer and multi-product supply chain using data mining. J. Manage. Sci. Pract., 1: 22-31.
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  91. Mahmoudi, H., H. Fazlollahtabar and I. Mahdavi, 2013. Optimizing a reverse supply chain including transportation, operation, maintenance and remanufacturing costs. Int. J. Applied Operat. Res., 3: 67-78.
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  92. Mahmoudi, H., H. Fazlollahtabar and I. Mahdavi, 2013. Mathematical modeling for minimizing costs in a multi-layer multi-product reverse supply chain. Indust. Eng. Manage. Vol., 2. 10.4172/2169-0316.1000105.
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  93. Mahmoudi, H. and H. Fazlollahtabar, 2013. Modelling multi-layer multi-product reverse supply chain. Stud. Syst. Sci., 1: 29-37.
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  94. Mahdavi, I., H. Fazlollahtabar and M. Alikhani, 2013. Clustering organizational learning capability indices for knowledge sharing in different segments of the firm. Int. J. Manage. Knowl. Learn., 2: 209-225.
  95. Khoshnoodi, R., H. Fazlollahtabar and I. Mahdavi, 2013. A sustainable reverse supply chain for customer requirement fulfillment. Uncertain Supply Chain Manage., 1: 45-56.
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  96. Khanlarpour, E., H. Fazlollahtabar and I. Mahdavi, 2013. Designing an intelligent warehouse based on genetic algorithm and fuzzy logic for determining reorder point and order quantity. Comput. Sci. Inform. Technol., 1: 1-8.
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  97. Hesami, M., H.E. Nosratabadi and H. Fazlollahtabar, 2013. Design of a fuzzy expert system for determining adjusted price of products and services. Int. J. Ind. Syst. Eng., 13: 1-26.
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  98. Hajibagheri, S., B. Shirazi and H. Fazlollahtabar, 2013. A review on CRM and CIS: A service oriented approach. Int. J. Innovative Ideas, 13: 63-73.
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  99. Fooladi, S., H. Fazlollahtabar and I. Mahdavi, 2013. Waste collection vehicle routing problem considering similarity pattern of trashcan. Int. J. Applied Operat. Res., 3: 105-111.
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  100. Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2013. A heuristic algorithm to approximate dynamic program of a novel new product development process. J. King Saud University: Eng. Sci., (In Press). 10.1016/j.jksues.2013.12.001.
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  101. Fazlollahtabar, H., I. Mahdavi and A. Mohajeri, 2013. Applying fuzzy mathematical programming approach to optimize a multiple supply network in uncertain condition with comparative analysis. Applied Soft Comput., 13: 550-562.
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  102. Fazlollahtabar, H., F. Akbari and I. Mahdavi, 2013. A fuzzy goal programming for optimizing service industry market using virtual intelligent agent. J. Chinese Inst. Ind. Eng., 3: 20-29.
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  103. Fazlollahtabar, H., E. Aghasi and A. Aghasi, 2013. Effect of customer satisfaction measures on a supply chain. Int. J. Adv. Ind. Eng. Manage., 2: 35-39.
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  104. Fazlollahtabar, H., 2013. Designing a management information system for an agent-based multilayer electronic supply chain network. J. Manage. Sci. Pract., 1: 1-7.
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  105. Fazlollahtabar, H., 2013. Designing a feedback based diagnosis decision support tool for continuous improvement of e-readiness indices to implement e-government. Universal J. Manage., 1: 1-5.
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  106. Fazlollahtabar, H. and S.G. Jalali, 2013. Adapted markovian model to control reliability assessment in multiple AGV manufacturing system. Scientia Iranica Trans. E: Indust. Eng., 20: 2224-2237.
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  107. Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. Producer's behavior analysis in an uncertain bicriteria AGV-based flexible jobshop manufacturing system with expert system. Int. J. Adv. Manufact. Technol., 65: 1605-1618.
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  108. Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. Design of a neuro-fuzzy-regression expert system to estimate cost in a flexible jobshop automated manufacturing system. Int. J. Adv. Manuf. Technol., 67: 1809-1823.
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  109. Fazlollahtabar, H. and N. Mahdavi-Amiri, 2013. An optimal path in a bi-criteria AGV-based flexible jobshop manufacturing system having uncertain parameters. Int. J. Ind. Syst. Eng., 13: 27-55.
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  110. Fazlollahtabar, H. and M.H. Olya, 2013. A cross-entropy heuristic statistical modeling for determining total stochastic material handling time. Int. J. Adv. Manuf. Technol., 67: 1631-1641.
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  111. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Optimizing a multi-objective reliability assessment in multiple agv manufacturing system. Int. J. Serv. Operat. Manage., 16: 352-372.
  112. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Methodologies to optimize automated guided vehicle scheduling and routing problems: A review study. J. Intell. Robot. Syst., 10.1007/s10846-013-0003-8.
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  113. Fazlollahtabar, H. and M. Saidi-Mehrabad, 2013. Markovian Reliability in Multiple AGV System. In: Encyclopedia of Business Analytics and Optimization, Wang, J. (Ed.). IGI Publishing, Hershey, PA., USA., pp: 388-395.
  114. Fazlollahtabar, H. and M. Ashena, 2013. A Bayesian network decision support system for order management in new product development. Comput. Sci. Inform. Technol., 1: 82-89.
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  115. Fazlollahtabar, H. and E. Aghasi, 2013. Profit maximization based on customer satisfaction level in a multi-layer multi-product supply chain. Int. J. Applied Operat. Res., 3: 59-66.
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  116. Fathi, Z., M. Rasi and H. Fazlollahtabar, 2013. Model for pricing in multi-product supply chain based on customers utility and activity based costing considering risk in profit. Int. J. Innov. Ideas, 13: 12-28.
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  117. Esmaeilpour, R., H. Fazlollahtabar and E. Aghasi, 2013. Multi-objective mathematical model as a decision support for customer service marketing. Int. J. Applied Operat. Res., 3: 27-41.
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  118. Basirat, P., H. Fazlollahtabar and I. Mahdavi, 2013. System dynamics meta-modelling for reliability considerations in maintenance. Int. J. Process Manage. Benchmarking, 3: 136-153.
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  119. Asadinejad, M., B. Shirazi and H. Fazlollahtabar, 2013. Proposing a decision support system for service oriented manufacturing based on enterprise resource planning. J. Inform. Technol. Software Eng., 3: 1-7.
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  120. Akbari, F., H. Fazlollahtabar and I. Mahdavi, 2013. An uncertain decision making process considering customers and services in evaluating banks: A case study. Int. J. Strategic Decis. Sci., 4: 48-78.
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  121. Aalaei, A., H. Fazlollahtabar, I. Mahdavi, N. Mahdavi-Amiri and M.H. Yahyanejad, 2013. A genetic algorithm for a creativity matrix cubic space clustering: A case study in mazandaran gas company. Applied Soft Comput., 13: 1661-1673.
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  122. Tavana, M., H. Fazlollahtabar and H. Hajmohammadi, 2012. Supplier selection and order allocation with process performance index in supply chain management. Int. J. Inform. Decis. Sci., 4: 329-349.
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  123. Rezaie, M., H.E. Nosratabadi and H. Fazlollahtabar, 2012. Applying KANO model for users' satisfaction assessment in e-learning systems: A case study in iran virtual higher educational systems. Int. J. Inform. Commun. Technol. Educ., 8: 1-12.
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  124. Rezaie, B., F. Esmaeili and H. Fazlollahtabar, 2012. Developing the concept of pricing in a deterministic homogenous vehicle routing problem with comprehensive sensitivity analysis. Int. J. Ser. Operations Manage., 12: 20-34.
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  125. Mojaveri, H.S. and H. Fazlollahtabar, 2012. Designing an integrated AHP based fuzzy expert system and SWOT analysis to prioritize development strategies of iran agriculture. Rev. Int. Comp. Manage., 13: 117-129.
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  126. Fazlollahtabar, H., T. Sherafat and A. Es'haghzadeh, 2012. A fuzzy-neural-monte carlo method to estimate online content delivery cost in e-learning. Int. J. Inform. Comput. Sci., 1: 98-105.
  127. Fazlollahtabar, H., R. Hassanzadeh, I. Mahdavi and N. Mahdavi-Amiri, 2012. A genetic optimization algorithm and perceptron learning rules for a bi-criteria parallel machine scheduling. J. Chin. Inst. Ind. Eng., 29: 206-218.
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  128. Fazlollahtabar, H., I. Mahdavi, N. Mahdavi-Amiri and A. Mohajeri, 2012. A mathematical model for vehicle routing problem in a flexible supply network. Asian J. Ind. Engine., 4: 17-29.
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  129. Fazlollahtabar, H., H. Hajmohammadi and B. Ghanbari, 2012. Designing a stochastic model to analyze online course delivery in e-learning. Int. J. Inform. Comput. Sci., 1: 106-114.
  130. Fazlollahtabar, H., H. Hajmohammadi and A. Mohajeri, 2012. Designing an electronic supply chain management system in an electronic market considering customer satisfaction and logistic. Int. J. Customer Relationship Marketing Manage., 3: 74-88.
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  131. Fazlollahtabar, H., H. Hajmohammadi and A. Khadem, 2012. A qualitative evaluation of suppliers in a supply network using Six Sigma criterion. Int. J. Applied Decis. Sci., 5: 64-76.
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  132. Fazlollahtabar, H., F. Akbari and I. Mahdavi, 2012. Optimizing e-shopping sales efficiency using virtual intelligent agent and pricing concept. Asian J. Inform. Commun., 4: 27-35.
  133. Fazlollahtabar, H., E. Aghasi and P. Forte, 2012. Bi-objective two-stage decision-making process for service marketing. Int. J. Strategic Decis. Sci., 3: 24-39.
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  134. Fazlollahtabar, H., A. Es'haghzadeh, H. Hajmohammadi and A. Taheri-Ahangar, 2012. A Monte Carlo simulation to estimate TAGV production time in a stochastic flexible automated manufacturing system: A case study. Int. J. Ind. Syst. Eng., 12: 243-258.
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  135. Fazlollahtabar, H., 2012. Six sigma based integrated mathematical model for optimizing electronic marketing decisions. Int. J. Customer Relationship Marketing Manage., 3: 61-76.
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  136. Fazlollahtabar, H., 2012. Reliability-based dynamic programming for e-learning user profile assessment. Int. J. Inform. Commun. Technol. Educ., 8: 13-21.
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  137. Fazlollahtabar, H., 2012. Applying information technology in developing business models of export. Int. J. Bus. Syst. Res., 6: 89-107.
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  138. Fazlollahtabar, H., 2012. A mathematical programming for an employees creativity matrix cubic space clustering in organizations. Int. J. Ind. Eng.: Theory Applic. Pract., 19: 128-136.
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  139. Fazlollahtabar, H. and E. Aghasi, 2012. A two-stage mechanism as a decision support for marketing via customer satisfaction measures. J. Chin. Inst. Ind. Eng., 29: 270-281.
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  140. Fazlollahtabar, H. and A. Muhammadzadeh, 2012. A knowledge-based user interface to optimize curriculum utility in an e-learning system. Int. J. Enterprise Inform. Syst., 8: 34-53.
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  141. Fazlollahtabar, H. and A. Abbasi, 2012. A computer integrated framework for e-learning control systems based on data flow diagrams. J. Control Eng. Technol., 2: 97-105.
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  142. Mohajeri, A., I. Mahdavi and H. Fazlollahtabar, 2011. An interactive allocation for depot-customer-depot in a multi aspect supply chain network. Int. J. Eng., 24: 367-376.
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  143. Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and M.H. Yahyanejad, 2011. A comprehensive value engineering approach for gas pipeline projects using mathematical models and FAST: A case study of mazandaran gas company. Int. J. Busin. Inform., 6: 182-204.
    Direct Link  |  
  144. Fazlollahtabar, H., I. Mahdavi, M.T. Ashoori, S. Kaviani and N. Mahdavi-Amiri, 2011. A multi-objective decision-making process of supplier selection and order allocation for multi-period scheduling in an electronic market. Int. J. Adv. Manuf. Technol., 52: 1039-1052.
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  145. Fazlollahtabar, H., I. Mahdavi and N. Mahdavi-Amiri, 2011. Assessing the effectiveness of E-learning via user profile analysis: An AHP-based dynamic programming approach. MIS Rev.: Int. J., 17: 39-61.
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  146. Fazlollahtabar, H., H. Hajmohammadi and A. Es'haghzadeh, 2011. A heuristic methodology for assembly line balancing considering stochastic time and validity testing. Int. J. Adv. Manuf. Technol., 52: 311-320.
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  147. Fazlollahtabar, H. and H. Hajmohammadi, 2011. Reliability assessment of users'virtual learning queue system. Ann. Spiru Haret Univ. Math.-Inform. Ser., 7: 45-52.
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  148. Fazlollahtabar, H. and A. Abbasi, 2011. Heuristic probabilistic approach for prioritizing optimal course delivery policies in e-learning systems. Analele Universitatii Spiru Haret-Seria Matematica-Informatica, 7: 37-51.
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  149. Shirazi, B., H. Fazlollahtabar and I. Mahdavi, 2010. A six sigma based multi-objective optimization for machine grouping control in flexible cellular manufacturing systems with guide-path flexibility. Adv. Eng. Software, 41: 865-873.
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  150. Shiazi, B., H. Fazlollahtabar and N. Sahebjamnia, 2010. Minimizing arbitrary earliness/tardiness penalties with common due date in single-machine scheduling problem using a tabu-geno-simulated annealing. Mater. Manuf., 25: 515-525.
  151. Raftani-Amiri, Z., H. Fazlollahtabar and N. Mahdavi-Amiri, 2010. A multi-period supply network of food products based on time-windows with sensitivity analysis. Opera. Supply Chain Manage., 3: 105-116.
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  152. Mahdavi, I., N. Cho, H. Fazlollahtabar, S.H. Shafieian, N. Mahdavi-Amiri and S. Mohebbi, 2010. Agent Based Dynamic Route Selection for Multilayer Electronic Supply Network. In: Electronic Supply Network Coordination in Intelligent and Dynamic Environment: Modeling and Implementation, Mahdavi, I., S. Mohebbi and N. Cho (Eds.). IGI Publishing, Hershey, PA., USA., pp: 341-359.
  153. Mahdavi, I., H. Fazlollahtabar, S.H. Shafieian and N. Mahdavi-Amiri, 2010. Route selection in a dynamic multi-agent multilayer electronic supply network. J. Inform. Technol. Applic. Manage., 17: 141-155.
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  154. Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri, M. Arabmaghsudi and H. Mohammadi, 2010. Design of a fuzzy job satisfaction matrix with dynamic performance criteria: A case study at mazandaran gas company. Int. J. Data Anal. Inform. Syst., 2: 67-76.
  155. Mahdavi, I., H. Fazlollahtabar, N. Mahdavi-Amiri and M. Kakouei, 2010. Designing integrated models as a decision aid in web-based marketing. J. Inform. Technol. Applic. Manage., 17: 1-10.
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  156. Fazlollahtabar, H., H. Hajmohammadi, I. Mahdavi, N. Mahdavi-Amiri and A. Mohajeri, 2010. Fuzzy Electronic Supply Chain System: Customer Satisfaction and Logistic Aspects. In: Electronic Supply Network Coordination in Intelligent and Dynamic Environment: Modeling and Implementation, Mahdavi, I., S. Mohebbi and N. Cho (Eds.). IGI Publishing, Hershey, PA., USA., pp: 183-198.
  157. Fazlollahtabar, H., H. Eslami and H. Salmani, 2010. Designing a fuzzy expert system to evaluate alternatives in fuzzy analytic hierarchy process. J. Software Eng. Applic., 3: 409-418.
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  158. Fazlollahtabar, H., B. Rezaie and H. Kalantari, 2010. Mathematical programming approach to optimize material flow in an AGV-based flexible jobshop manufacturing system with performance analysis. Int. J. Adv. Manuf. Technol., 51: 1149-1158.
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  159. Fazlollahtabar, H., A. Abbasi and A. Taheri, 2010. Designing an intelligent information system for a multilayer electronic supply chain network. Int. J. Syst. Control, 1: 156-162.
  160. Fazlollahtabar, H., 2010. Employing Fuzzy Logic for a Real-Time Comprehensive Quality Assessment Model of Service Providers in E-Learning Environments. In: Cases on Technology Enhanced Learning through Collaborative Opportunities, Mukerji, S. and P. Tripathi (Eds.). IGI Publishing, Hershey, PA., USA., pp: 223-241.
  161. Fazlollahtabar, H., 2010. A subjective framework for seat comfort based on a heuristic multi criteria decision making technique and anthropometry. Applied Ergon., 42: 16-28.
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  162. Fazlollahtabar, H. and M.A. Ehsani, 2010. Integration between regression model and fuzzy logic approach for analyzing various electronic commerce effects on economic growth in organizations. J. Electron. Commerce Organ., 8: 17-31.
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  163. Mahdavi, I., H. Abbaspour-Ghomi, N. Sahebjamnia, Y. Elssazad-Roshan, H. Fazlollahtabar, N. Mahdavi-Amiri and A. Hamzehpour, 2009. Strategic development and SWOT analysis for IT/ICT programs in universities of Mazandaran. J. Digital Policy Manage., 7: 31-47.
  164. Fazlollahtabar, H. and N. Yousefpoor, 2009. Cost optimization in e-learning-based education systems: Implementation and learning sequence. E-Learning, 6: 198-205.
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  165. Fazlollahtabar, H. and I. Mahdavi, 2009. User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach. Educ. Res. Rev., 4: 142-155.
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  166. Arshadi, A. and H. Fazlollahtabar, 2009. An immunity-based control framework for facilities relocation in supply chain. Int. J. Intell. Syst. Technol. Applic., 7: 188-204.
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  167. Tajdin, A., I. Mahdavi, B. Shirazi, N. Sahebjamnia and H. Fazlollahtabar, 2008. Designing an assessment method for e-learning environment using real-time simulators. J. Applied Sci., 8: 3491-3496.
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  168. Shirazi, B., H. Fazlollahtabar and D. Shafiei, 2008. A genetic approach to optimize mathematical model of facilities relocation problem in supply chain. J. Applied Sci., 8: 3119-3128.
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  169. Mahdavi, I., H. Fazlollahtabar, M.M. Paydar and A. Heidarzade, 2008. Applying multi-criteria decision methods and SWOT factors to analyze the role of information technology in industry development in Iran. J. Applied Sci., 8: 2983-2990.
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  170. Mahdavi, I., H. Fazlollahtabar, E. Mozaffari and M. Heidari, 2008. Data envelopment analysis based comparison of two hybrid multi-criteria decision-making approaches for mobile phone selection: A case study in Iranian telecommunication environment. Int. J. Inform. Decis. Sci., 1: 194-220.
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  171. Mahdavi, I., H. Fazlollahtabar, A. Heidarzade, N. Mahdavi-Amiri and Y.I. Rooshan, 2008. A heuristic methodology for multi-criteria evaluation of web-based E-learning systems based on user satisfaction. J. Applied Sci., 7: 4603-4609.
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  172. Mahdavi, I., H. Fazlollahtabar and N. Yousefpoor, 2008. An integrated mathematical programming approach and artificial intelligence techniques for optimizing learning elements in e-learning based educational systems. Int. J. Educ. Inform. Technol., 21: 87-94.
  173. Fazlollahtabar, H., 2008. A dynamic programming approach to identify shortest path in virtual learning environment. E-Learn. Digital Media, 5: 89-96.
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  174. Fazlollahtabar, H. and N.K. Sharma, 2008. E-Learning versus face-to-face learning: An economic analysis of higher educational systems in Iran. Int. J. Cyber Soc. Educ., 1: 49-60.
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  175. Jafari-Samimi, A., B. Shirazi and H. Fazlollahtabar, 2007. A comparison between time series, exponential smoothing and neural network methods to forecast GDP of Iran. Iran. Econ. Rev., 12: 19-35.
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