Digital twin-based production scheduling system for heavy truck frame shop

2020 ◽  
pp. 095440622091330
Author(s):  
Yunrui Wang ◽  
Zhengli Wu
Keyword(s):  
Production Scheduling ◽  
Production Line ◽  
Uncertain Variable ◽  
Manufacturing Execution System ◽  
Mixed Flow ◽  
Scheduling System ◽  
Digital Twin ◽  
Digital Twins ◽  
Heavy Truck ◽  
New Research

Existing scheduling systems cannot respond quickly and efficiently to the appearance of uncertain variable interference factors in the scheduling process. The efficiency of the enterprise is hence seriously affected by these factors. The concept of the digital twin provides new research directions for scheduling systems. In order to improve the overall performance of the production scheduling system in a frame shop, virtual-real fusion technology utilizing the digital twin is first introduced to integrate the information and logistics flows in the scheduling process as part of the manufacturing execution system-based production scheduling mechanism. The balance optimization of the mixed-flow production line is then carried out, and the mixed-flow production line balance and sequencing models are established. A scheduling system for the frame shop combining various system functions is finally designed based on the sequencing model and production status. The scheduling system comprehensively considers the two uncertain factors of materials and orders to generate scheduling information through an intelligent scheduling mode while realizing real-time synergy between the information and logistics flows. The system has achieved excellent implementation results in the frame shop and provides a reference for the application of digital twins in production workshops.

scholarly journals Digital Twin Based Optimization of a Manufacturing Execution System to Handle High Degrees of Customer Specifications

2020 ◽  
Vol 4 (4) ◽  
pp. 109
Author(s):  
Andrea Barni ◽  
Dario Pietraroia ◽  
Simon Züst ◽  
Shaun West ◽  
Oliver Stoll
Keyword(s):  
Production Line ◽  
Lean Production ◽  
Discrete Event ◽  
Manufacturing Execution System ◽  
Core Element ◽  
Static Mode ◽  
Cycle Times ◽  
Lean Principles ◽  
Digital Twin ◽  
Goods And Services

Lean production principles have greatly contributed to the efficient and customer-oriented mass production of goods and services. A core element of lean production is the focus on cycle times and designing production controls and buffers around any bottlenecks in the system. Hence, a production line organized by lean principles will operate in a static or at least quasi-static way. While the individualization of products is an interesting business approach, it can influence cycle times and in-time production. This work demonstrates how performance losses induced by highly variable cycle times can be recovered using a digital twin. The unit under analysis is an industrial joiner’s workshop. Due to the high variance in cycle time, the joinery fails its production target, even if all machines are below 80% usage. Using a discrete event simulation of the production line, different production strategies can be evaluated efficiently and systematically. It is successfully shown that the performance losses due to the highly variable cycle times can be compensated using a digital twin in combination with optimization strategies. This is achieved by operating the system in a non-static mode, exploiting the flexibilities within the systems.

scholarly journals Application Research of Digital Twin-Driven Ship Intelligent Manufacturing System: Pipe Machining Production Line

2021 ◽  
Vol 9 (3) ◽  
pp. 338
Author(s):  
Qingcai Wu ◽  
Yunsheng Mao ◽  
Jianxun Chen ◽  
Chong Wang
Keyword(s):  
Production Line ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Application Framework ◽  
Application Process ◽  
Layer System ◽  
Intelligent Manufacturing System ◽  
Digital Twin ◽  
Digital Twins ◽  
Implementation Effect

Digital twin has aroused extensive attention of international academia and industry to support future interaction with the physical and virtual world. Although the research and application of digital twin spring up continuously, the concept in the manufacturing domain remains in its infancy. In this context, this paper first reviews the applications of digital twins for intelligent manufacturing. Then it presents an innovative application framework of a digital twin-driven ship intelligent manufacturing system and analyzes its operation mechanism. The application framework of a digital twin-driven ship intelligent manufacturing system mainly includes five parts: the physical layer, model layer, data layer, system layer, and application layer. Finally, key enabling techniques, as well as a case study in a pipe machining production line, are constructed and studied to validate the proposed approach. Meanwhile, system design and implementation, the twin modeling construction, application process, and implementation effect of the pipe machining production line are described in detail to provide a reference for enterprises.

scholarly journals A Digital Twin-Oriented Lightweight Approach for 3D Assemblies

Machines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 231
Author(s):  
Luo Fang ◽  
Qiang Liu ◽  
Ding Zhang
Keyword(s):  
Production Line ◽  
Mesh Simplification ◽  
Frame Rate ◽  
Significant Feature ◽  
Large Computer ◽  
Digital Twin ◽  
Digital Twins ◽  
Cad Models ◽  
Quadric Error Metrics ◽  
Assembly Models

In the design and operation scenarios driven by Digital Twins, large computer-aided design (CAD) models of production line equipment can limit the real-time performance and fidelity of the interaction between digital and physical entities. Digital CAD models often consist of combined parts with characteristics of discrete folded corner planes. CAD models simplified to a lower resolution by current mainstream mesh simplification algorithms might suffer from significant feature loss and mesh breakage, and the interfaces between the different parts cannot be well identified and simplified. A lightweight approach for common CAD assembly models of Digital Twins is proposed. Based on quadric error metrics, constraints of discrete folded corner plane characteristics of Digital Twin CAD models are added. The triangular regularity in the neighborhood of the contraction target vertices is used as the penalty function, and edge contraction is performed based on the cost. Finally, a segmentation algorithm is employed to identify and remove the interfaces between the two CAD assembly models. The proposed approach is verified through common stereoscopic warehouse, robot base, and shelf models. In addition, a scenario of a smart phone production line is applied. The experimental results indicate that the geometric error of the simplified mesh is reduced, the frame rate is improved, and the integrity of the geometric features and triangular facets is effectively preserved.

Layout design of a mixed-flow production line based on processing energy consumption and buffer configuration

2021 ◽  
Author(s):  
Cai-Xia Zhang ◽  
Shu-Lin Dong ◽  
Hong-Yan Chu ◽  
Guo-Zhi Ding ◽  
Zhi-Feng Liu ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Production Line ◽  
Layout Design ◽  
Mixed Flow ◽  
Processing Energy

Digital Twin for Smart Manufacturing: The Practitioner’s Perspective

2020 ◽  
Author(s):  
Maja Bärring ◽  
Björn Johansson ◽  
Goudong Shao
Keyword(s):  
Conceptual Development ◽  
Production Systems ◽  
Manufacturing Sector ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Adoption And Implementation ◽  
New Information ◽  
Digital Twins ◽  
Discrete Manufacturing ◽  
Design Production

Abstract The manufacturing sector is experiencing a technological paradigm shift, where new information technology (IT) concepts can help digitize product design, production systems, and manufacturing processes. One of such concepts is Digital Twin and researchers have made some advancement on both its conceptual development and technological implementations. However, in practice, there are many different definitions of the digital-twin concept. These different definitions have created a lot of confusion for practitioners, especially small- and medium-sized enterprises (SMEs). Therefore, the adoption and implementation of the digital-twin concept in manufacturing have been difficult and slow. In this paper, we report our findings from a survey of companies (both large and small) regarding their understanding and acceptance of the digital-twin concept. Five supply-chain companies from discrete manufacturing and one trade organization representing suppliers in the automotive business were interviewed. Their operations have been studied to understand their current digital maturity levels and articulate their needs for digital solutions to stay competitive. This paper presents the results of the research including the viewpoints of these companies in terms of opportunities and challenges for implementing digital twins.

Machine learning-based digital twins reduce seasonal remapping in aeroderivative gas turbines

2021 ◽  
pp. 1-7
Author(s):  
Nick Petro ◽  
Felipe Lopez
Keyword(s):  
Machine Learning ◽  
Ambient Temperature ◽  
Gas Turbines ◽  
Operating Conditions ◽  
Pilot Site ◽  
Digital Twin ◽  
Digital Twins ◽  
Machine Learning Model ◽  
Unacceptable Behavior ◽  
External Conditions

Abstract Aeroderivative gas turbines have their combustion set points adjusted periodically in a process known as remapping. Even turbines that perform well after remapping may produce unacceptable behavior when external conditions change. This article introduces a digital twin that uses real-time measurements of combustor acoustics and emissions in a machine learning model that tracks recent operating conditions. The digital twin is leveraged by an optimizer that select adjustments that allow the unit to maintain combustor dynamics and emissions in compliance without seasonal remapping. Results from a pilot site demonstrate that the proposed approach can allow a GE LM6000PD unit to operate for ten months without seasonal remapping while adjusting to changes in ambient temperature (4 - 38 °C) and to different fuel compositions.

Digital Twins: Review and Challenges

2021 ◽  
Vol 21 (3) ◽  
Author(s):  
Maria G. Juarez ◽  
Vicente J. Botti ◽  
Adriana S. Giret
Keyword(s):  
Computer Science ◽  
Industry 4.0 ◽  
Multi Agent System ◽  
Agent System ◽  
Digital Twin ◽  
Digital Twins ◽  
Science Approach ◽  
Multi Agent ◽  
Current Operating

Abstract With the arises of Industry 4.0, numerous concepts have emerged; one of the main concepts is the digital twin (DT). DT is being widely used nowadays, however, as there are several uses in the existing literature; the understanding of the concept and its functioning can be diffuse. The main goal of this paper is to provide a review of the existing literature to clarify the concept, operation, and main characteristics of DT, to introduce the most current operating, communication, and usage trends related to this technology, and to present the performance of the synergy between DT and multi-agent system (MAS) technologies through a computer science approach.

Sign in / Sign up

Export Citation Format

Share Document