Navid Sahebjamnia
Navid Sahebjamnia
Assistant Professor, Department of Industrial Engineering, University of Science and Technology of
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Integrated business continuity and disaster recovery planning: Towards organizational resilience
N Sahebjamnia, SA Torabi, SA Mansouri
European Journal of Operational Research 242 (1), 261-273, 2015
An enhanced risk assessment framework for business continuity management systems
SA Torabi, R Giahi, N Sahebjamnia
Safety science 89, 201-218, 2016
Retail supply chain network design under operational and disruption risks
NS Sadghiani, SA Torabi, N Sahebjamnia
Transportation Research Part E: Logistics and Transportation Review 75, 95-114, 2015
A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem
SA Torabi, N Sahebjamnia, SA Mansouri, MA Bajestani
Applied Soft Computing 13 (12), 4750-4762, 2013
Sustainable tire closed-loop supply chain network design: Hybrid metaheuristic algorithms for large-scale networks
N Sahebjamnia, AM Fathollahi-Fard, M Hajiaghaei-Keshteli
Journal of cleaner production 196, 273-296, 2018
A new framework for business impact analysis in business continuity management (with a case study)
SA Torabi, HR Soufi, N Sahebjamnia
Safety Science 68, 309-323, 2014
Designing evolving user profile in e-CRM with dynamic clustering of Web documents
I Mahdavi, N Cho, B Shirazi, N Sahebjamnia
Data & Knowledge Engineering 65 (2), 355-372, 2008
Building organizational resilience in the face of multiple disruptions
N Sahebjamnia, SA Torabi, SA Mansouri
International Journal of Production Economics 197, 63-83, 2018
A hybrid decision support system for managing humanitarian relief chains
N Sahebjamnia, SA Torabi, SA Mansouri
Decision Support Systems 95, 12-26, 2017
Designing a fuzzy Q-learning multi-agent quality control system for a continuous chemical production line–A case study
N Sahebjamnia, R Tavakkoli-Moghaddam, N Ghorbani
Computers & Industrial Engineering 93, 215-226, 2016
A framework for strategy formulation based on clustering approach: A case study in a corporate organization
SA Hadighi, N Sahebjamnia, I Mahdavi, MA Shirazi
Knowledge-Based Systems 49, 37-49, 2013
Modeling an e-based real-time quality control information system in distributed manufacturing shops
I Mahdavi, B Shirazi, N Cho, N Sahebjamnia, S Ghobadi
Computers in Industry 59 (8), 759-766, 2008
A two-phase linear programming methodology for fuzzy multi-objective mixed-model assembly line problem
I Mahdavi, B Javadi, N Sahebjamnia, N Mahdavi-Amiri
The International Journal of Advanced Manufacturing Technology 44 (9-10 …, 2009
IMAQCS: Design and implementation of an intelligent multi-agent system for monitoring and controlling quality of cement production processes
I Mahdavi, B Shirazi, N Ghorbani, N Sahebjamnia
Computers in industry 64 (3), 290-298, 2013
New approaches in metaheuristics to solve the truck scheduling problem in a cross-docking center
M Hajiaghaei-Keshteli, AM Fathollahi Fard
International Journal of Engineering 31 (8), 1258-1266, 2018
Development of a simulation-based optimisation for controlling operation allocation and material handling equipment selection in FMS
I Mahdavi, B Shirazi, N Sahebjamnia
International Journal of Production Research 49 (23), 6981-7005, 2011
Developing a novel quantitative framework for business continuity planning
H Rezaei Soufi, SA Torabi, N Sahebjamnia
International Journal of Production Research 57 (3), 779-800, 2019
A novel fuzzy stochastic multi-objective linear programming for multi-level capacitated lot-sizing problem: a real case study of a furniture company
N Sahebjamnia, F Jolai, SA Torabi, M Aghabeiglo
The International Journal of Advanced Manufacturing Technology 84 (1-4), 749-767, 2016
Optimization of Multi-period Three-echelon Citrus Supply Chain Problem
N Sahebjamnia, F Goodarzian, M Hajiaghaei-Keshteli
Journal of Optimization in Industrial Engineering 13 (1), 39-53, 2020
Designing a new model of distributed quality control for sub-assemble products based on the intelligent web information system
N Sahebjamnia, I Mahdavi, N Cho
Journal of Intelligent Manufacturing 21 (4), 511-523, 2010
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