Chao-Lung Yang^1,*, Atinkut Atinafu Yilma^1,2, Bereket Haile Woldegiorgis², Hendrik Tampubolon^3,4, Hendri Sutrisno⁵

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 233-254, 2024, DOI:10.32604/iasc.2024.043091

Abstract This study proposed a new real-time manufacturing process monitoring method to monitor and detect process shifts in manufacturing operations. Since real-time production process monitoring is critical in today’s smart manufacturing. The more robust the monitoring model, the more reliable a process is to be under control. In the past, many researchers have developed real-time monitoring methods to detect process shifts early. However, these methods have limitations in detecting process shifts as quickly as possible and handling various data volumes and varieties. In this paper, a robust monitoring model combining Gated Recurrent Unit (GRU) and Random… More >

Haiyu Chen¹, Haijian Shao^1,2,*, Xing Deng¹, Lijuan Wang¹, Xia Wang³

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.1, pp. 125-165, 2024, DOI:10.32604/cmes.2023.027834

Abstract The concept of the digital twin, also known colloquially as the DT, is a fundamental principle within Industry 4.0 framework. In recent years, the concept of digital siblings has generated considerable academic and practical interest. However, academia and industry have used a variety of interpretations, and the scientific literature lacks a unified and consistent definition of this term. The purpose of this study is to systematically examine the definitional landscape of the digital twin concept as outlined in scholarly literature, beginning with its origins in the aerospace domain and extending to its contemporary interpretations in More >

Ruijun Liu¹, Haisheng Li^1,*, Zhihan Lv²

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 985-1022, 2023, DOI:10.32604/cmes.2023.023154

Abstract To understand the current application and development of 3D modeling in Digital Twins (DTs), abundant literatures on DTs and 3D modeling are investigated by means of literature review. The transition process from 3D modeling to DTs modeling is analyzed, as well as the current application of DTs modeling in various industries. The application of 3D DTs modeling in the fields of smart manufacturing, smart ecology, smart transportation, and smart buildings in smart cities is analyzed in detail, and the current limitations are summarized. It is found that the 3D modeling technology in DTs has broad More >

Ahmed Bashar Fakhri¹, Saleem Latteef Mohammed¹, Imran Khan², Ali Safaa Sadiq^3,4, Basem Alkazemi⁵, Prashant Pillai⁴, Bong Jun Choi^6,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1175-1194, 2021, DOI:10.32604/cmc.2020.012587

Abstract The development of science and technology has led to the era of Industry 4.0. The core concept is the combination of “material and informationization”. In the supply chain and manufacturing process, the “material” of the physical entity world is realized by data, identity, intelligence, and information. Industry 4.0 is a disruptive transformation and upgrade of intelligent industrialization based on the Internet-of-Things and Big Data in traditional industrialization. The goal is “maximizing production efficiency, minimizing production costs, and maximizing the individual needs of human beings for products and services.” Achieving this goal will surely bring about More >