A dynamic programming approach for batch sizing in a multi-stage production process with random yields

DOI10.1016/j.amc.2011.06.022zbMath1233.90142OpenAlexW2080795568MaRDI QIDQ648335

Abdullah Konak, Michael R. Bartolacci, Bezalel Gavish

Publication date: 22 November 2011

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2011.06.022

zbMATH Keywords

dynamic programmingbatch sizingrandom yields

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Production models (90B30)

Related Items (2)

A disruption recovery plan in a three-stage production-inventory system ⋮ The multi-stage multi-product batch-sizing problem in the steel industry

Cites Work

• Production Control in Multistage Systems with Variable Yield Losses
• Part Dispatch in Random Yield Multistage Flexible Test Systems for Printed Circuit Boards
• Multi-Echelon Production Scheduling When Demand is Stochastic
• A Hybrid Algorithm for Simultaneous Scheduling of Production and Distribution in Multi-Echelon Structures
• Lot Sizing with Random Yields: A Review

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