Cargando…
An Effective Hybrid Self-Adapting Differential Evolution Algorithm for the Joint Replenishment and Location-Inventory Problem in a Three-Level Supply Chain
The integration with different decisions in the supply chain is a trend, since it can avoid the suboptimal decisions. In this paper, we provide an effective intelligent algorithm for a modified joint replenishment and location-inventory problem (JR-LIP). The problem of the JR-LIP is to determine the...
Autores principales: | Wang, Lin, Qu, Hui, Chen, Tao, Yan, Fang-Ping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878286/ https://www.ncbi.nlm.nih.gov/pubmed/24453822 http://dx.doi.org/10.1155/2013/270249 |
Ejemplares similares
-
Modeling and Optimization of the Multiobjective Stochastic Joint Replenishment and Delivery Problem under Supply Chain Environment
por: Wang, Lin, et al.
Publicado: (2013) -
Demand-Driven Inventory Optimization and Replenishment: Creating a More Efficient Supply Chain
por: Davis, Robert
Publicado: (2013) -
A location-inventory model for the sustainable supply chain of perishable products based on pricing and replenishment decisions: A case study
por: Mohammadi, Zahra, et al.
Publicado: (2023) -
A Hybrid Genetic-Simulated Annealing Algorithm for the Location-Inventory-Routing Problem Considering Returns under E-Supply Chain Environment
por: Li, Yanhui, et al.
Publicado: (2013) -
Demand-Driven Inventory Optimization and Replenishment
por: Davis, Robert
Publicado: (2016)