Determination of number of kanbans in a supply chain system via memetic algorithm

DOI10.1016/j.advengsoft.2008.07.001zbMath1157.90540OpenAlexW1969640339MaRDI QIDQ1009927

J. Martínez

Publication date: 3 April 2009

Published in: Advances in Engineering Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.advengsoft.2008.07.001

zbMATH Keywords

heuristicmemetic algorithmkanbanmixed integer non-linear programming (MINLP)supply chain system (SCS)

Mathematics Subject Classification ID

Mixed integer programming (90C11) Nonlinear programming (90C30) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

A memetic algorithm for minimizing the total weighted completion time on a single machine under step-deterioration ⋮ Determining the optimal number of Kanban in multi-products supply chain system

Cites Work

• Optimal models for a multi-stage supply chain system controlled by kanban under just-in-time philosophy
• Push and Pull Production Systems: Issues and Comparisons
• Operations planning for a single-stage kanban system operating under linear demand

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