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Taguchi's Quality Engineering Handbook
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  • 2013A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: An NSGA-II with tuned parameters132 cited
  • 2014Optimizing a hybrid vendor-managed inventory and transportation problem with fuzzy demand: An improved particle swarm optimization algorithm130 cited
  • 2015Two parameter tuned multi-objective evolutionary algorithms for a bi-objective vendor managed inventory model with trapezoidal fuzzy demand82 cited
  • 2018Supplier selection of an Indian heavy locomotive manufacturer: An integrated approach using Taguchi loss function, TOPSIS, and AHP66 cited
  • 2015Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm65 cited
  • 2009Taguchi's approach for reliability and safety assessments in the stage separation process of a multistage launch vehicle58 cited
  • 2015An innovative approach for planning and execution of pre-experimental runs for Design of Experiments54 cited
  • 2012Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms53 cited
  • 2018The α-reliable path problem in stochastic road networks with link correlations: A moment-matching-based path finding algorithm50 cited
  • 2017A Multi-Objective and Multi-Product Advertising Billboard Location Model with Attraction Factor Mathematical Modeling and Solutions45 cited
  • 2011Automatic repair of inconsistent pairwise weighting matrices in analytic hierarchy process41 cited

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  • 2020Reliable shortest path finding in stochastic time-dependent road network with spatial-temporal link correlations: A case study from Beijing38 cited
  • 2019Optimum aerodynamic shape design under uncertainty by utility theory and metamodeling36 cited
  • 2016Carbon-capped Distribution Planning: A JIT Perspective32 cited
  • 2015Multi-period hub set covering problems with flexible radius: A modified genetic solution30 cited
  • 2017Increasing the efficiency in integer simulation optimization: Reducing the search space through data envelopment analysis and orthogonal arrays29 cited