Comprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problem
This paper presents a comprehensive review and evaluation of heuristics and meta-
heuristics for the two-sided assembly line balancing problem. Though a few reviews have …
heuristics for the two-sided assembly line balancing problem. Though a few reviews have …
Parametric optimization and process capability analysis for machining of nickel-based superalloy
The manufacturing of parts from nickel-based superalloy, such as Inconel-800 alloy,
represents a challenging task for industrial sites. Their performances can be enhanced by …
represents a challenging task for industrial sites. Their performances can be enhanced by …
Research trends and outlooks in assembly line balancing problems
P Chutima - Engineering Journal, 2020 - engj.org
This paper presents the findings from the survey of articles published on the assembly line
balancing problems (ALBPs) during 2014-2018. Before proceeding a comprehensive …
balancing problems (ALBPs) during 2014-2018. Before proceeding a comprehensive …
Non-dominated sorting modified teaching–learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
A non-dominated sorting modified teaching–learning-based optimization (NSMTLBO) is
proposed to obtain the optimum solution for a multi-objective problem related to machining …
proposed to obtain the optimum solution for a multi-objective problem related to machining …
Multi-objective teaching–learning-based optimization algorithm for carbon-efficient integrated scheduling of distributed production and distribution considering shared …
W Tan, X Yuan, J Wang, H Xu, L Wu - Journal of Cleaner Production, 2023 - Elsevier
Being “carbon efficient” is always one of the missions for suppliers to stay competitive.
Production and distribution are the core sections of the supply chain, and integrated …
Production and distribution are the core sections of the supply chain, and integrated …
Knowledge-based integrated product design framework towards sustainable low-carbon manufacturing
H Zheng, S Yang, S Lou, Y Gao, Y Feng - Advanced Engineering …, 2021 - Elsevier
With a global challenge on the serious ecological problems, low-carbon manufacturing
aiming to reduce carbon emission and resource consumption is gaining the ever-increasing …
aiming to reduce carbon emission and resource consumption is gaining the ever-increasing …
Multi-objective optimization of machining and micro-machining processes using non-dominated sorting teaching–learning-based optimization algorithm
Selection of optimum machining parameters is vital to the machining processes in order to
ensure the quality of the product, reduce the machining cost, increasing the productivity and …
ensure the quality of the product, reduce the machining cost, increasing the productivity and …
An enhanced NSGA-II algorithm for fuzzy bi-objective assembly line balancing problems
Due to immense role of an efficient assembly line in today's manufacturing systems, the
consideration of this paper is devoted to address the straight and U-shaped assembly line …
consideration of this paper is devoted to address the straight and U-shaped assembly line …
[HTML][HTML] Key initiatives to improve the machining characteristics of Inconel-718 alloy: Experimental analysis and optimization
Inconel 718 is a heat-resistant Ni-based superalloy widely used, particularly, in aircraft and
aero-engineering applications. It has poor machinability due to its unique thermal and …
aero-engineering applications. It has poor machinability due to its unique thermal and …
A survey of application and classification on teaching-learning-based optimization algorithm
R Xue, Z Wu - IEEE Access, 2019 - ieeexplore.ieee.org
Teaching-Learning-based Optimization is an optimization technique which does not require
any algorithm-specific parameters and is popular for its less computational cost and high …
any algorithm-specific parameters and is popular for its less computational cost and high …