A hybrid metaheuristic approach for minimizing the total flow time in a flow shop sequence dependent group scheduling problem

DOI10.3390/a7030376zbMath1461.90042OpenAlexW2123087625MaRDI QIDQ1736622

Xianqiang Yang

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a7030376

zbMATH Keywords

sequencingdecodinggenetic algorithmencodingcellular manufacturing

Mathematics Subject Classification ID

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

Related Items (3)

Genetic algorithms in supply chain management: a critical analysis of the literature ⋮ The third comprehensive survey on scheduling problems with setup times/costs ⋮ A comprehensive review of flowshop group scheduling literature

Uses Software

• Genocop

Cites Work

• Total flow time minimization in a flowshop sequence-dependent group scheduling problem
• An ant colony optimization metaheuristic for machine-part cell formation problems
• Integrated cellular manufacturing systems design with production planning and dynamic system reconfiguration
• Two-machine group scheduling problem with blocking and anticipatory setups
• Scheduling a flowline manufacturing cell with sequence dependent family setup times
• Two-machine group scheduling problems in discrete parts manufacturing with sequence-dependent setups
• Principles of Sequencing and Scheduling
• Some design issues in cellular manufacturing using the fuzzy programming approach
• Design and Analysis of Experiments, Second Edition
• Scheduling
• Unnamed Item

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