Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source
Energy-efficient distributed heterogeneous re-entrant hybrid flow shop scheduling problem with sequence dependent setup times considering factory eligibility constraints. [PDF]
Geng K, Liu L, Wu Z.
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
An effective DE algorithm for hybrid flow shop load balancing scheduling problem
In this paper, an improved DE algorithm called double population self-adaptive differential evolution (DPSADE) algorithm is used to solve the hybrid flow shop load balancing scheduling problem (HFS-LBSP) which combines a novel double population ...
Han ZH(韩忠华) +2 more
core
Scheduling practice and recent developments in flow shop and job shop scheduling
Each plant and/or service provider performs several tasks to satisfy customer demand. Every task consumes several resources in order to be completed. Scheduling deals with the allocation of limited resources to tasks over time. Because the resources used
Yenisey, Mehmet Mutlu
core +1 more source
Production scheduling that involves distributed factories, machine maintenance, and resource constraints plays a crucial role in manufacturing. However, these realistic constraints have rarely been considered simultaneously in the hybrid flow shop (HFS).
Ying Xu, Shulan Lin, Junqing Li
doaj +1 more source
Collaborative variable neighborhood search for multi-objective distributed scheduling in two-stage hybrid flow shop with sequence-dependent setup times. [PDF]
Cai J +5 more
europepmc +1 more source
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
Cyclic Hybrid Flow-shop Scheduling Problem with Machine Setups [PDF]
In this paper we consider an NP -hard hybrid flow shop problem with machine setups and cycle-time minimization. The above issue is an important generalization of a flow-shop problem with minimization of a cycle time, and it stays in a direct relationship
Pempera, Jarosław +3 more
core +1 more source
A hybrid lower bound for multi-processor task scheduling problems in multi-stage hybrid flow shop environment [PDF]
In this paper, a lower bound for the optimal makespan value have been improved (Hybrid lower bound) which can be used to evaluate the performance algorithm for multi-processor task scheduling problems in multi-stage FSMP(flow shop with multi-processor).
doaj +1 more source

