A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.

From MaRDI portal
Publication:1406673

DOI10.1016/S0305-0548(98)00026-4zbMath1042.90553OpenAlexW2092009466WikidataQ126632543 ScholiaQ126632543MaRDI QIDQ1406673

Kim Yeongho, Keun Kim Yeo, Ju Hyun Chul

Publication date: 7 September 2003

Published in: Computers \& Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0305-0548(98)00026-4




Related Items (37)

An adaptive genetic algorithm approach for the mixed-model assembly line sequencing problemHybrid flow shop scheduling with sequence dependent family setup time and uncertain due datesOptimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristicsMulti-criteria sequencing problem for a mixed-model assembly line in a JIT production systemSequencing optimisation for makespan improvement at wet-etch toolsBi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristicA bi-objective aggregate production planning problem with learning effect and machine deterioration: modeling and solutionMulti-objective optimization of the distributed permutation flow shop scheduling problem with transportation and eligibility constraintsA genetic regulatory network based method for multi-objective sequencing problem in mixed-model assembly linesApplying available-to-promise (ATP) concept in mixed-model assembly line sequencing problems in a make-to-order (MTO) environment: problem extension, model formulation and Lagrangian relaxation algorithmA scatter search based hyper-heuristic for sequencing a mixed-model assembly lineBalancing and sequencing mixed-model just-in-time \(U\)-lines with multiple objectivesEvaluating solution sets of a posteriori solution techniques for bi-criteria combinatorial optimization problemsSequencing mixed-model assembly lines with demand management: problem development and efficient multi-objective algorithmsScheduling mixed-model production on multiple assembly lines with shared resources using genetic algorithms: the case study of a motorbike companyHuman factor policy testing in the sequencing of manual mixed model assembly lines.A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines.Production smoothing in just-in-time manufacturing systems: a review of the models and solution approachesA heuristic procedure for the automobile assembly-line sequencing problem considering multiple product optionsA hybrid multi-objective immune algorithm for a flow shop scheduling problem with bi-objectives: weighted mean completion time and weighted mean tardinessA level set based topology optimization for finite unidirectional acoustic phononic structures using boundary element methodOptimal production sequencing problem to minimise line stoppage time in a mixed-model assembly lineSolving a bi-criteria permutation flow-shop problem using shuffled frog-leaping algorithmOn bills of materials structure and optimum product-level smoothing of parts usage in JIT assembly systemsDesigning a sustainable supply chain network integrated with vehicle routing: a comparison of hybrid swarm intelligence metaheuristicsSequencing Mixed-Model Assembly Lines with Limited Intermediate Buffers by a GA/SA-Based AlgorithmMixed-model assembly line sequencing using beam searchAlgorithmical approaches to business process designMulti-objective meta-heuristics: An overview of the current state-of-the-artLean holistic fuzzy methodology employing cross-functional worker teams for new product development projects: a real case study from high-tech industryCoordination of set-ups between two stages of a supply chain using multi-objective genetic algorithmsSequencing mixed-model assembly lines: survey, classification and model critiqueA mathematical model for selecting mixed models with due datesA multi-objective genetic algorithm for mixed-model sequencing on JIT assembly linesInteractive bicriterion decision support for a large scale industrial scheduling systemMulti-objective optimal scheduling of reconfigurable assembly line for cloud manufacturingMathematical analysis and solutions for multi-objective line-cell conversion problem


Uses Software


Cites Work


This page was built for publication: A genetic algorithm for multiple objective sequencing problems in mixed model assembly lines.