Results 11 to 20 of about 14,109,241 (348)

Achieving cost competitiveness with an agent based integrated process planning and production scheduling system [PDF]

, 2012
From a manufacturing perspective, the efficiency of manufacturing operations (such as process planning and production scheduling) are the key element for enhancing manufacturing competence.
Lim, Ming, Zhang, David
core   +7 more sources

Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects [PDF]

Renewable Energy, 2023
In the conversion toward a clear and sustainable energy system, the flexibility of power-to-hydrogen (P2H) production enables the admittance of volatile renewable energies on a utility scale and provides the connected electrical power system with ...
Yiwei Qiu, Bu-Xiang Zhou, Tian-Lei Zang, Yi Zhou, Shi Chen, Ruo-Mei Qi, Jia-Rong Li, Jin Lin   +7 more
semanticscholar   +1 more source

On reliability of reinforcement learning based production scheduling systems: a comparative survey

Journal of Intelligent Manufacturing, 2022
The deep reinforcement learning (DRL) community has published remarkable results on complex strategic planning problems, most famously in virtual scenarios for board and video games.
Constantin Waubert de Puiseau, R. Meyes, Tobias Meisen   +2 more
semanticscholar   +1 more source

Optimization approaches for solving production scheduling problem: A brief overview and a case study for hybrid flow shop using genetic algorithms

Advances in Production Engineering & Management, 2022
The aim of this paper is to investigate scheduling problems in manufacturing. After a brief introduction to the modelling approach to the scheduling problem, the study focuses on the optimization approach to the scheduling problem. Firstly, the different
W. Xu, H.-Y. Sun, A. L. Awaga, Y. Yan, Yong-Jiu Cui   +4 more
semanticscholar   +1 more source

Enabling predictive maintenance integrated production scheduling by operation-specific health prognostics with generative deep learning

, 2021
Predictive Maintenance (PdM) is one of the core innovations in recent years that sparks interest in both research and industry. While researchers develop more and more complex machine learning (ML) models to predict the remaining useful life (RUL), most ...
S. Zhai, Benedikt Gehring, G. Reinhart
semanticscholar   +1 more source

Integrated Parametric Graph Closure and Branch-and-Cut Algorithm for Open Pit Mine Scheduling under Uncertainty

Mining, 2022
Open pit mine production scheduling is a computationally expensive large-scale mixed-integer linear programming problem. This research develops a computationally efficient algorithm to solve open pit production scheduling problems under uncertain ...
Devendra Joshi, Amol Paithankar, Snehamoy Chatterjee, Sk Md Equeenuddin   +3 more
doaj   +1 more source

Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory

IEEE Access, 2021
Rapid advances of sensing and cloud technologies transform the manufacturing system into a data-rich environment and make production scheduling increasingly complex.
Tong Zhou, D. Tang, Hai-Hua Zhu, Li-Ping Wang   +3 more
semanticscholar   +1 more source

A conceptual framework of the applicability of production scheduling from a contingency theory approach: addressing the theory-practice gap

Production Planning & Control, 2022
In the last century, there was a general perception that scheduling theory was highly irrelevant to scheduling practice. Many recent studies, however, have suggested that the applicability of scheduling approaches is highly intertwined with the ...
Rodrigo Romero-Silva, Javier Santos, M. Hurtado-Hernández   +2 more
semanticscholar   +1 more source

Progress of research on steelmaking‒continuous casting production scheduling

工程科学学报, 2020
Production scheduling is one of the key technologies in steel manufacturing process. It plays a significant role in reducing the production cost and improving the production efficiency of iron and steel enterprises.
Qing LIU, Qian LIU, Jian-ping YANG, Jiang-shan ZHANG, Shan GAO, Qiang-du LI, Bao WANG, Bai-lin WANG, Tie-ke LI   +8 more
doaj   +1 more source

How to boost the flow shop manufacturing agility using hybrid Genetic Tabu Search in scheduling

Jurnal Ilmiah SINERGI, 2022
The hybridization between evolutionary genetic algorithm and tabu search has been proposed in this paper to address flow shop scheduling. It accommodates jobs that need to be rearranged and executed on identical machines serially.
Moch Saiful Umam, Jutono Gondohanindijo
doaj   +1 more source