Multi-objective multi-model assembly line balancing problem : a quantitative study in engine manufacturing industry
| Year of publication: |
2019
|
|---|---|
| Authors: | Asl, Abolfazl Jafari ; Solimanpur, Maghsud ; Shankar, Ravi |
| Published in: |
Opsearch : journal of the Operational Research Society of India. - New Delhi : Springer India, ISSN 0030-3887, ZDB-ID 417088-X. - Vol. 56.2019, 3, p. 603-627
|
| Subject: | Assembly line balancing | Multi-model assembly line | Multi-objective optimization | Mixed-integer linear programming | Engine manufacturing industry | Fließfertigung | Assembly-line production | Industrie | Manufacturing industries | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Kfz-Industrie | Automotive industry | Scheduling-Verfahren | Scheduling problem |
-
Preventing ergonomic risks with integrated planning on assembly line balancing and parts feeding
Battini, Daria, (2017)
-
MILP models and metaheuristic for balancing and sequencing of mixed-model two-sided assembly lines
Nilakantan, J. Mukund, (2017)
-
Assembly line balancing with fractional task allocations
Lopes, Thiago Cantos, (2022)
- More ...
-
A multi-objective genetic algorithm approach to the design of cellular manufacturing systems
Solimanpur, Maghsud, (2004)
-
Supply chain resilience for managing the ripple effect in Industry 4.0 for green product diffusion
Dev, Navin K., (2021)
-
Gautam, Ayush, (2024)
- More ...