The optimization of lot sizing with supplier selection problem in multi-echelon defective supply chain network
DOI10.1080/13873954.2011.654123zbMath1251.93024OpenAlexW2130031368MaRDI QIDQ3168284
Publication date: 30 October 2012
Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10.1080/13873954.2011.654123
optimizationsupply chain managementmixed-integer linear programminglot sizing with supplier selectionmulti-echelon defective supply chain network design
Mixed integer programming (90C11) Optimal stochastic control (93E20) Consumer behavior, demand theory (91B42)
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Cites Work
- Exact algorithms for procurement problems under a total quantity discount structure
- A two-phase ant colony algorithm for multi-echelon defective supply chain network design
- A strategic model for supply chain design with logical constraints: Formulation and solution.
- Optimal procurement decisions in the presence of total quantity discounts and alternative product recipes
- Inventory lot-sizing with supplier selection
- Heuristics for sourcing from multiple suppliers with alternative quantity discounts
- Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives
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