The optimization of lot sizing with supplier selection problem in multi-echelon defective supply chain network

DOI10.1080/13873954.2011.654123zbMath1251.93024OpenAlexW2130031368MaRDI QIDQ3168284

Ercan Şenyiğit

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

zbMATH Keywords

optimizationsupply chain managementmixed-integer linear programminglot sizing with supplier selectionmulti-echelon defective supply chain network design

Mathematics Subject Classification ID

Mixed integer programming (90C11) Optimal stochastic control (93E20) Consumer behavior, demand theory (91B42)

Related Items (2)

Production–shipment policy for EPQ model with quality assurance and an improved delivery schedule ⋮ A multi-agent systems approach for sustainable supplier selection and order allocation in a partnership supply chain

Uses Software

• LINDO

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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