Resource reconfiguration and optimization in brownfield constrained Robotic Assembly Line Balancing Problems-Reference-Cited by-同舟云学术

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Resource reconfiguration and optimization in brownfield constrained Robotic Assembly Line Balancing Problems

Published:2023-04 Issue: Volume:67 Page:132-142
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Albus Marcel^ORCID,Huber Marco F.^ORCID

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Hardware and Architecture,Software,Control and Systems Engineering

Reference74 articles.

1. Manufacturing systems engineering: A unified approach to manufacturing technology, production management and industrial economics;Hitomi,2017

2. Absalom: Balancing assembly lines with assignment restrictions;Scholl;European J Oper Res,2010

3. A survey on problems and methods in generalized assembly line balancing;Becker;European J Oper Res,2006

4. Scheduling: theory, algorithms, and systems. Vol. 29;Pinedo,2016

5. A comprehensive review of robotic assembly line balancing problem;Chutima;J Intell Manuf,2020

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1. Two-sided resource-constrained assembly line balancing problem: a new mathematical model and an improved genetic algorithm;Swarm and Evolutionary Computation;2024-10

2. A knowledge-guided Estimation of Distribution Algorithm for energy-efficient Joint Robotic Assembly Line Balancing and Feeding Problem;Swarm and Evolutionary Computation;2024-07

3. Balancing assembly lines with industrial and collaborative robots: Current trends and future research directions;Computers & Industrial Engineering;2024-07

4. A configuration optimization approach for reconfigurable manufacturing system based on column-generation combined with graph neural network;International Journal of Production Research;2024-06-25

5. Capacity Scalability Planning Algorithms for Job-shop-type Reconfigurable Manufacturing Systems with Dynamic Demands;Journal of the Korean Institute of Industrial Engineers;2024-06-15

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