Multi-criteria sequencing problem for a mixed-model assembly line in a JIT production system

DOI10.1016/j.amc.2006.02.033zbMath1102.90358OpenAlexW1995386558MaRDI QIDQ856147

Reza Tavakkoli-Moghaddam, Alireza Rahimi-Vahed

Publication date: 7 December 2006

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

Full work available at URL: https://doi.org/10.1016/j.amc.2006.02.033

zbMATH Keywords

memetic algorithmmixed-model assembly lineJIT systemmulti-criteria sequencing

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Production models (90B30)

Related Items (7)

A genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly lines ⋮ GRASP with path relinking for a multiple objective sequencing problem for a mixed-model assembly line ⋮ Sequencing Mixed-Model Assembly Lines with Limited Intermediate Buffers by a GA/SA-Based Algorithm ⋮ Lean holistic fuzzy methodology employing cross-functional worker teams for new product development projects: a real case study from high-tech industry ⋮ Sequencing mixed-model assembly lines: survey, classification and model critique ⋮ Interactive bicriterion decision support for a large scale industrial scheduling system ⋮ Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing

Uses Software

• Genocop

Cites Work

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• A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.
• A branch-and-bound algorithm for a single machine sequencing to minimize the sum of maximum earliness and tardiness with idle insert
• A multi-objective genetic algorithm for mixed-model sequencing on JIT assembly lines
• Optimal scheduling for a single machine to minimize the sum of maximum earliness and tardiness considering idle insert
• Note—Sequencing JIT Mixed-Model Assembly Lines
• Level Schedules for Mixed-Model Assembly Lines in Just-In-Time Production Systems
• An analytic framework for sequencing mixed model assembly lines
• Sequencing mixed-model assembly lines to level parts usage and minimize line length
• Stochastic Algorithms: Foundations and Applications
• Bicriteria sequencing methods for the mixed-model assembly line in just-in-time production systems

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