Application of the artificial neural network with multithreading within an inventory model under uncertainty and inflation
The solutions to real-life problems are challenging to find out in the exact form as the
dimensions of the problems are significant. A multi-period multi-product inventory model is …
dimensions of the problems are significant. A multi-period multi-product inventory model is …
Problem-specific knowledge MOEA/D for energy-efficient scheduling of distributed permutation flow shop in heterogeneous factories
With the development of the global economy and the enhancement of environmental
awareness, energy-efficient permutation flow shop scheduling gets more attention …
awareness, energy-efficient permutation flow shop scheduling gets more attention …
A sustainable supply chain under VMI-CS agreement with withdrawal policies for imperfect items
Supply Chain (SC) coordination, quality requirements, and environmental issues are the
main areas of interest within the field of inventory management. Few studies have integrated …
main areas of interest within the field of inventory management. Few studies have integrated …
A binary dandelion algorithm using seeding and chaos population strategies for feature selection
Y Zhao, J Dong, X Li, H Chen, S Li - Applied Soft Computing, 2022 - Elsevier
Feature selection (FS) is an important pre-processing step in data mining and pattern
recognition. It can effectively compress the dimensionality of the feature space to reduce …
recognition. It can effectively compress the dimensionality of the feature space to reduce …
A hybridization of evolution strategies with iterated greedy algorithm for no-wait flow shop scheduling problems
This study investigates the no-wait flow shop scheduling problem and proposes a hybrid
(HES-IG) algorithm that utilizes makespan as the objective function. To address the …
(HES-IG) algorithm that utilizes makespan as the objective function. To address the …
Hybridization of Particle Swarm Optimization with Variable Neighborhood Search and Simulated Annealing for Improved Handling of the Permutation Flow-Shop …
Permutation flow-shop scheduling is the strategy that ensures the processing of jobs on
each subsequent machine in the exact same order while optimizing an objective, which …
each subsequent machine in the exact same order while optimizing an objective, which …
Production scheduling of personalized fashion goods in a mass customization environment
The COVID-19 pandemic has put fashion manufacturers' needs for optimization in the
spotlight. This study argues that mass customization is becoming increasingly instrumental …
spotlight. This study argues that mass customization is becoming increasingly instrumental …
[HTML][HTML] A communication model for reducing the bullwhip effect in closed-loop supply chain
Nowadays, most supply chains prefer to exploit closed-loop strategies to reuse their
previous products in a reproduction process to reduce their waste and costs. Fluctuations of …
previous products in a reproduction process to reduce their waste and costs. Fluctuations of …
A hybrid evolution strategies-simulated annealing algorithm for job shop scheduling problems
Job shop scheduling problems (JSSPs) are intractable combinatorial optimization problems
and have been solved by numerous researchers over the last couple of decades, however …
and have been solved by numerous researchers over the last couple of decades, however …
Energy-efficient flow-shop scheduling with the strategy of switching the power statuses of machines
J Guo, L Wang, L Kong, X Lv - Sustainable Energy Technologies and …, 2022 - Elsevier
Energy-saving for flow-shop scheduling problem has drawn growing attention under the
environmental pressure in industry. As the major source of energy consumption for flow …
environmental pressure in industry. As the major source of energy consumption for flow …