Industry Review of Distributed Production in Discrete Manufacturing [PDF]
Abstract Distributed production paradigms have grown in discrete manufacturing as discrete products are increasingly made by global, distributed networks. Challenges faced by discrete manufacturing, such as increased globalization, market volatility, workforce shortages, and mass personalization have necessitated scalable solutions that ...
Moneer Helu
exaly +4 more sources
Digital Twins for Discrete Manufacturing Lines: A Review
Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing.
Xianqun Feng, Jiafu Wan
doaj +4 more sources
Recent Advances in Lean Techniques for Discrete Manufacturing Companies: A Comprehensive Review
Background: Against the backdrop of the transformation and upgrading of the manufacturing industry, lean manufacturing has emerged as a systematic and advanced production paradigm that has deeply permeated the entire value chain of enterprises. Objective:
Xinyan Yang +3 more
doaj +4 more sources
Anomaly Detection in Discrete Manufacturing Systems by Pattern Relation Table Approaches [PDF]
Anomaly detection for discrete manufacturing systems is important in intelligent manufacturing. In this paper, we address the problem of anomaly detection for the discrete manufacturing systems with complicated processes, including parallel processes ...
Xinmiao Sun, Ruiqi Li, Zhen Yuan
doaj +2 more sources
Multistage Quality Prediction Using Neural Networks in Discrete Manufacturing Systems
The deployment of a manufacturing execution system (MES) holds promising potential in facilitating the accumulation of a substantial amount of inspection data.
Ruidong Li +4 more
doaj +3 more sources
A Price-Based Demand Response Scheme for Discrete Manufacturing in Smart Grids
Demand response (DR) is a key technique in smart grid (SG) technologies for reducing energy costs and maintaining the stability of electrical grids. Since manufacturing is one of the major consumers of electrical energy, implementing DR in factory energy
Zhe Luo, Seung-Ho Hong, Jong-Beom Kim
doaj +3 more sources
Due to the huge consumption of materials and energy during machining processes, reduction of manufacturing carbon emission is an essential key to decrease the environmental burden of various manufacturing systems.
Chaoyang Zhang, Weixi Ji
doaj +3 more sources
Digital Twin-Driven Multi-Factor Production Capacity Prediction for Discrete Manufacturing Workshop
Traditional capacity forecasting algorithms lack effective data interaction, leading to a disconnection between the actual plan and production. This paper discusses the multi-factor model based on a discrete manufacturing workshop and proposes a digital ...
Hu Cai, Jiafu Wan, Baotong Chen
doaj +3 more sources
Microcontroller-based Sonar Ultrasonic Water Level Control System with Closed-loop Control Approach [PDF]
This study proposes a microcontroller-based closed-loop water level control system that utilizes a sonar ultrasonic sensor to monitor and regulate water levels in a tank.
Ahmad Usman +5 more
doaj +1 more source
Generalized Separable Nonnegative Matrix Factorization Algorithm Based on Orthogonal Constraints [PDF]
Separable Nonnegative Matrix Factorization(NMF) is a special NMF method used to represent an entire dataset by extracting partial samples or key topics from the dataset.Generalized Separable Nonnegative Matrix Factorization(GSNMF) is an extended ...
Junhang CHEN, Zuyuan YANG, Mingyang LIU, Lingjiang LI
doaj +1 more source

