Solving a bi-objective mixed-model assembly-line sequencing using metaheuristic algorithms considering ergonomic factors, customer behavior, and periodic maintenance

DOI10.1007/s12597-020-00489-yOpenAlexW3106620026MaRDI QIDQ832801

Neda Manavizadeh, Azadeh Farsi, Masoud Rabbani, Mahdi Mokhtarzadeh

Publication date: 25 March 2022

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-020-00489-y

zbMATH Keywords

sequencingmixed-model assembly linesK-meansperiodic maintenancecustomers clusteringLRFMP

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Cites Work

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• An adaptive genetic algorithm approach for the mixed-model assembly line sequencing problem
• Tabu Search—Part I
• Tabu Search—Part II
• A bi-objective mixed-model assembly line sequencing problem considering customer satisfaction and customer buying behaviour

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