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Guozhe Yang, Qingze Tan, Zhiqiang Tian, Xingyu Jiang, Keqiang Chen, Yitao Lu, Weijun Liu and Peisheng Yuan
To cope with the problems of poor matching between processing characteristics and manufacturing resources, low production efficiency, and the hard-to-meet dynamic and changeable model requirements in multi-variety and small batch aerospace enterprises, a...
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Xin Wang, Jinchi Zhao, Yinchen Yang and Yukun Xu
In industrial sites, the movement and contact behaviors of workers are random, but their frequency and statistical characteristics can be determined. Particularly in machining workshops, metalworking fluids (MWFs) cause liquid oil contamination on the pr...
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Gelmar García-Vidal, Reyner Pérez-Campdesuñer, Alexander Sánchez-Rodríguez, Rodobaldo Martínez-Vivar
Pág. 35 - 51
The objective of the article is to present the design and application of a technique based on the Cost - Volume - Benefit method, in order to have economic - financial information of the right mix of products that allows achieving the expected results of...
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José Luis Garrido-Labrador, Daniel Puente-Gabarri, José Miguel Ramírez-Sanz, David Ayala-Dulanto and Jesus Maudes
The development of complex real-time platforms for the Internet of Things (IoT) opens up a promising future for the diagnosis and the optimization of machining processes. Many issues have still to be solved before IoT platforms can be profitable for smal...
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Wei Han, Fang Guo and Xichao Su
The scheduling problems in mass production, manufacturing, assembly, synthesis, and transportation, as well as internet services, can partly be attributed to a hybrid flow-shop scheduling problem (HFSP). To solve the problem, a reinforcement learning (RL...
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