Design of supply chain networks with multi-phased discount price and service level: formulation, complexity, and algorithm

DOI10.1080/02522667.2009.10699880zbMath1173.90481OpenAlexW1998486493MaRDI QIDQ3643080

Jui-Tsung Wong, Chwen-Tzeng Su, Kuei-Hsien Chen

Publication date: 10 November 2009

Published in: Journal of Information and Optimization Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02522667.2009.10699880

zbMATH Keywords

simulated annealingparticle swarm optimizationsupply chain networkdiscount price

Mathematics Subject Classification ID

Mixed integer programming (90C11)

Cites Work

• Unnamed Item
• Optimization by Simulated Annealing
• A parameter set design procedure for the simulated annealing algorithm under the computational time constraint
• A strategic model for supply chain design with logical constraints: Formulation and solution.
• An ant colony optimization algorithm to solve a 2-machine bicriteria flowshop scheduling problem
• A simulated annealing methodology to distribution network design and management
• A two-phased approach to the supply network reconfiguration problem
• A label correcting approach for solving bicriterion shortest-path problems
• Simulated annealing heuristic for flow shop scheduling problems with unrelated parallel machines
• Planning and coordination of production and distribution facilities for multiple commodities

This page was built for publication: Design of supply chain networks with multi-phased discount price and service level: formulation, complexity, and algorithm