Machining condition optimization by genetic algorithms and simulated annealing
Computers and Operations Research
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms for Scientists and Engineers
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Journal of Medical Systems
Supply chain diagnostics with dynamic Bayesian networks
Computers and Industrial Engineering
Agent-based demand forecast in multi-echelon supply chain
Decision Support Systems
An advanced supply chain management tool based on modeling and simulation
Computers and Industrial Engineering
Soft computing optimization methods applied to logistic processes
International Journal of Approximate Reasoning
Intelligent identification and control using improved fuzzy particle swarm optimization
Expert Systems with Applications: An International Journal
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The objective of this paper is to study how to minimize the total system cost (TSC) when patient safety is considered in the hospital's supply chain management (HSCM). Owing to the HSCM explored in material flow, service level (S.L) is used as the index of patient safety level in this paper. HSCM includes three hospitals and a centralized purchasing center (CPC). A genetic algorithm (GA) is applied in the CPC to compute the dispatched quantity for each hospital. The results show that the CPC coordinates the total obtaining quantity for each hospital and assists the hospital's decision makers to estimate the total cost for each hospital. Also, the sensitivity analysis shows that to increase the same S.L for each hospital, these three hospitals should have almost the same incremental total cost when one unit quantity is dispatched.