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Clustering and selecting suppliers based on simulated annealing algorithms

https://doi.org/10.1016/j.camwa.2011.11.014
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system
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Supplier selection and supply quantity allocation of common and non-common parts with multiple criteria under multiple products
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Study of simulated annealing based algorithms for multiobjective optimization of a constrained problem
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Vendor selection in outsourcing
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A multi-objective production scheduling case study solved by simulated annealing
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An optimization approach for supply chain management models with quantity discount policy
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Parallel adaptive simulated annealing for computer-aided measurement in functional MRI analysis
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A multi-criterion interaction-oriented model with proportional rule for designing supply chain networks
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A hybrid approach to supplier selection for the maintenance of a competitive supply chain
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Group-based ER–AHP system for product project screening
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A multi-objective supplier selection model under stochastic demand conditions
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An adapted multi-criteria approach to suppliers and products selection—An application oriented to lead-time reduction
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Effects of ceramic surface treatments on the bond strength of an adhesive luting agent to CAD–CAM ceramic
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Supplier selection with multiple criteria in volume discount environments
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Application of the AHP in project management
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An application of the AHP in vendor selection of a telecommunications system
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Medical Image Analysis
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On Clustering Validation Techniques
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Supply chain network design: partner selection and production/distribution planning using a systematic model
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A multi-phase model for product part change problems
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Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives
inferredcites →https://doi.org/10.1109/tkde.2005.64openalex-snapshot
Simulated annealing using a reversible jump Markov chain Monte Carlo algorithm for fuzzy clustering
inferredcites →https://doi.org/10.1109/tpami.2002.1017616openalex-snapshot
An efficient k-means clustering algorithm: analysis and implementation
inferredcites →https://doi.org/10.1126/science.220.4598.671openalex-snapshot
Optimization by Simulated Annealing
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How to Make a Decision: The Analytic Hierarchy Process
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Designing Learning Experiences within Learners' Zones of Proximal Development (ZPDs): Enabling Collaborative Learning On-Site and Online

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Resilient Supplier Selection Problem with a New Hybrid Method: Application in Retail Industry
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ACO-GA Combined Algorithm for Solving Spectrum Allocation Problem in D2D Communications
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Digital supply chain surveillance
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ارائهی یک الگوریتم ترکیبی برای خوشهبندی دادهها با استفاده از الگوریتمهای K-means و الکترومغناطیس
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Identification and Analysis of Supply Chain and Supplier Risks Using Frog-Leaping and Genetic Algorithms (A Case Study in the Automotive Industry)
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