Hybrid genetic algorithm for group technology economic lot scheduling problem

DOI10.1080/00207540500534405zbMath1114.90384OpenAlexW2039423380MaRDI QIDQ3430241

H. C. Bae, B. C. Cha, I. K. Moon

Publication date: 21 March 2007

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500534405

zbMATH Keywords

genetic algorithmgroup technologyeconomic lot scheduling problem

Mathematics Subject Classification ID

Deterministic scheduling theory in operations research (90B35) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (2)

A common cycle approach for solving the economic lot and inspection scheduling problem ⋮ Unequal individual genetic algorithm with intelligent diversification for the lot-scheduling problem in integrated mills using multiple-paper machines

Uses Software

• Genocop

Cites Work

• The use of genetic algorithms to solve the economic lot size scheduling problem
• The Economic Lot-Scheduling Problem: Achieving Feasibility Using Time-Varying Lot Sizes
• Computing Optimal Lot Sizes in the Economic Lot Scheduling Problem
• The Effect of Externalizing Setups in the Economic Lot Scheduling Problem
• Lot Sizing and Sequencing for N Products on One Facility
• The Economic Lot Scheduling Problem (ELSP): Review and Extensions
• Hybrid genetic algorithm for the economic lot-scheduling problem
• On the General Feasibility Test of Scheduling Lot Sizes for Several Products on One Machine
• A Dynamic Programming Approach to a Lot Size Scheduling Problem

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