A supply chain network design for blood and its products using genetic algorithm: a case study of Turkey
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Publication:2691459
DOI10.3934/jimo.2022179OpenAlexW4312887107MaRDI QIDQ2691459
Birdogan Baki, Gokhan Agac, Hamdi Tolga Kahraman, Ilker Murat Ar
Publication date: 29 March 2023
Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.3934/jimo.2022179
genetic algorithmmixed-integer nonlinear programmingblood banksupply chain network designblood and blood products
Uses Software
Cites Work
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- Selective vehicle routing for a mobile blood donation system
- The multi-depot vehicle routing problem with heterogeneous vehicle fleet: formulation and a variable neighborhood search implementation
- Supply chain management of blood products: a literature review
- General variable neighborhood search for the uncapacitated single allocation \(p\)-hub center problem
- Variable neighbourhood search: methods and applications
- A general variable neighborhood search for solving the uncapacitated single allocation \(p\)-hub median problem
- Production scheduling and vehicle routing with time windows for perishable food products
- Variable neighborhood search
- A two-stage multi-echelon stochastic blood supply chain problem
- Managing platelet supply through improved routing of blood collection vehicles
- A simple recipe for concise mixed 0-1 linearizations
- BARON: A general purpose global optimization software package
- Less is more: general variable neighborhood search for the capacitated modular hub location problem
- A blood bank network design problem with integrated facility location, inventory and routing decisions
- Responsive and reliable injured-oriented blood supply chain for disaster relief: a real case study
- A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks
- Blood collection management: methodology and application
- Designing a bi-objective multi-echelon robust blood supply chain in a disaster
- Survey on blood supply chain management: models and methods
- Locational analysis for regionalization of Turkish Red Crescent blood services
- Exact and heuristic algorithms for the vehicle routing problem with multiple interdependent time windows
- A perturbation based variable neighborhood search heuristic for solving the vehicle routing problem with simultaneous pickup and delivery with time limit
- A mathematical model for supply chain management of blood banks in India
- A Variable Neighborhood Search Approach for the Two-Echelon Location-Routing Problem
- Practical Genetic Algorithms
- Introduction to Genetic Algorithms
- Genetic algorithms and fuzzy multiobjective optimization
- A mixed resilient‐efficient approach toward blood supply chain network design
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