A new multi-objective optimization method for master production scheduling problems using simulated annealing

DOI10.1080/00207540410001733869zbMath1060.90049OpenAlexW2043928720MaRDI QIDQ4671345

Guilherme Ernani Vieira, Paulo Cèsar Ribas

Publication date: 26 April 2005

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

Full work available at URL: https://doi.org/10.1080/00207540410001733869

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Deterministic scheduling theory in operations research (90B35) Production models (90B30)

Related Items (3)

Radio frequency identification system optimisation models for lifecycle of a durable product ⋮ Fractional factorial analysis to the configuration of simulated annealing applied to the multi-objective optimization of master production scheduling problems ⋮ A scatter search approach to sequence-dependent setup times job shop scheduling

Cites Work

• Optimization by Simulated Annealing
• An improved annealing scheme for the QAP
• A heuristic method for lot-sizing in multi-stage systems
• The N-City Travelling Salesman Problem: Statistical Mechanics and the Metropolis Algorithm
• Simulated annealing for parallel machine scheduling with earliness-tardiness penalties and sequence-dependent set-up times
• Comparative study of simulated annealing, genetic algorithms and tabu search for solving binary and comprehensive machine-grouping problems

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