A two-phase ant colony algorithm for multi-echelon defective supply chain network design

DOI10.1016/j.ejor.2007.08.037zbMath1180.90105OpenAlexW2025543141MaRDI QIDQ948669

B. E. Eshmatov

Publication date: 17 October 2008

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2007.08.037

zbMATH Keywords

partner selectionproduction-distribution planningdefective supply chain system

Mathematics Subject Classification ID

Production models (90B30) Deterministic network models in operations research (90B10)

Related Items (4)

The optimization of lot sizing with supplier selection problem in multi-echelon defective supply chain network ⋮ Hybrid Genetic Algorithm and Invasive Weed Optimization via Priority Based Encoding for Location-Allocation Decisions in a Three-Stage Supply Chain ⋮ Modeling of biological intelligence for SCM system optimization ⋮ Goodwill, inventory penalty, and adaptive supply chain management

Cites Work

• Determination of paths to vendor market effciency using parallel coordinates representation: A negotiation tool for buyers
• Supply chain network design: partner selection and production/distribution planning using a systematic model
• Lot Sizing to Reduce Capacity Utilization in a Production Process with Defective Items, Process Corrections, and Rework
• A multi-phase model for product part change problems

This page was built for publication: A two-phase ant colony algorithm for multi-echelon defective supply chain network design