R
Reza Ramezanian
Researcher at K.N.Toosi University of Technology
Publications - 62
Citations - 1436
Reza Ramezanian is an academic researcher from K.N.Toosi University of Technology. The author has contributed to research in topics: Flow shop scheduling & Job shop scheduling. The author has an hindex of 17, co-authored 58 publications receiving 1089 citations. Previous affiliations of Reza Ramezanian include Iran University of Science and Technology.
Papers
More filters
Journal ArticleDOI
A discrete firefly meta-heuristic with local search for makespan minimization in permutation flow shop scheduling problems
TL;DR: In this paper, a new discrete firefly meta-heuristic was proposed to minimize the makespan for the permutation flow shop scheduling problem, and the results of implementation of the proposed method are compared with other existing ant colony optimization technique.
Journal ArticleDOI
Blood supply chain network design under uncertainties in supply and demand considering social aspects
Reza Ramezanian,Zahra Behboodi +1 more
TL;DR: In this paper, a deterministic location-allocation model is proposed applying a mixed integer linear programming (MILP) optimization, which can overcome the limitations of scenario-based solution methods, without excessive changes in complexity of the underlying base deterministic model.
Journal ArticleDOI
An aggregate production planning model for two phase production systems: Solving with genetic algorithm and tabu search
TL;DR: A mixed integer linear programming (MILP) model for general two-phase aggregate production planning systems with setup decisions is developed and it is shown that these proposed algorithms obtain good-quality solutions for APP and could be efficient for large scale problems.
Journal ArticleDOI
Modeling and solving multi-objective mixed-model assembly line balancing and worker assignment problem
TL;DR: The results show that the implemented meta-heuristic outperform the genetic algorithm in the mixed-model assembly line balancing and worker assignment problem and the efficiency of proposed algorithm is evaluated.
Journal ArticleDOI
A stable reactive approach in dynamic flexible flow shop scheduling with unexpected disruptions
Donya Rahmani,Reza Ramezanian +1 more
TL;DR: A novel reactive model is proposed based on a classical objective function and two new surrogate measures, stability and resistance to change and presented to generate a stable reschedule against of any possible occurrences of mentioned disruption.