Results 201 to 210 of about 1,249,401 (374)

Solving Flexible Job-Shop Scheduling Problems Based on Quantum Computing. [PDF]

Entropy (Basel)
Fu K, Liu J, Chen M, Zhang H.
europepmc   +1 more source

The Effect of Thickness, Build Orientation, and Loading Rate on the Tensile and Compressive Properties of Selective Laser Sintering Polyamide 12 Specimens

Advanced Engineering Materials, EarlyView.
This article examines how build orientation, thickness, and loading rate affect the tensile and compressive properties of LS‐manufactured polyamide 12 12 parts. Through over 120 experiments, it reveals strong ductility anisotropy in tension, minimal compressive sensitivity, and significant thickness and strain rate dependencies.
Andreas Psarros, Grigorios Paraskevopoulos, Georgios Savaidis   +2 more
wiley   +1 more source

Dual-self-learning co-evolutionary algorithm for energy-efficient flexible job shop scheduling problem with processing- transportation composite robots. [PDF]

Sci Rep
Zhang M, Zhou M, Zhang L, Zhang Z.
europepmc   +1 more source

A Proposal of a Job Shop Scheduling Method for Solving Resources Contention Problems and its Verification

, 2001
Hiroaki Sugihara, Hisao Koizumi, Kataoka Nobuhiro, T. Takahara   +3 more
openalex   +2 more sources

Fatigue Performance of Additively Manufactured Ti‐6Al‐4V: Impact of Different Kinds of Porosities, Surface, and Heat Treatments in Laser Powder Bed Fusion Productivity Parameters

Advanced Engineering Materials, EarlyView.
Ti‐6Al‐4V samples produced by laser‐powder bed fusion are tested for static and dynamic mechanical properties to systematically evaluate the effects of surface roughness and internal porosity when using productivity parameters. The most detrimental impact to fatigue is caused by surface roughness, lack of fusion and keyhole porosity in descending order.
Julian Emanuel Gunther Schulz, Edson Costa Santos, Enrico Bruder, Shannon Bollin, Karsten Durst   +4 more
wiley   +1 more source

Dynamic job shop scheduling under multiple order disturbances using deep reinforcement learning. [PDF]

Sci Prog
Sun Z, Han W, Gao L, Zhu C, Lyu Q.
europepmc   +1 more source

A Comprehensive Review of Additive Manufacturing for Space Applications: Materials, Advances, Challenges, and Future Directions

Advanced Engineering Materials, EarlyView.
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos, Eleni Papadopoulou, Grigorios Kostopoulos, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria Gkara, Chara C. Mitropoulou, Nikos D. Lagaros   +8 more
wiley   +1 more source

An improved scatter search algorithm for solving job shop scheduling problems with parallel batch processing machine. [PDF]

Sci Rep
Wang H, Xiong H, Zuo W, Shi S.
europepmc   +1 more source

Order Management and Completion Date Prediction of Manufacturing Job-Shop Based on Deep Learning.

Comput Intell Neurosci, 2022
Wang M.
europepmc   +1 more source

A DNA algorithm for the job shop scheduling problem based on the Adleman-Lipton model. [PDF]

PLoS One, 2020
Tian X, Liu X, Zhang H, Sun M, Zhao Y.
europepmc   +1 more source