Digital Twin-Driven Rapid Customized Design of Board-Type Furniture Production Line

2021 ◽  
pp. 1-34
Author(s):  
Yan Douxi ◽  
Liu Qiang ◽  
Jiewu Leng ◽  
Zhang Ding ◽  
Rongli Zhao ◽  
...  
Keyword(s):  
Production Line ◽  
Manufacturing System ◽  
Design Method ◽  
Physical World ◽  
Production Lines ◽  
Digital Twin ◽  
Board Type ◽  
The Status ◽  
Key Enabling Technologies ◽  
Line Design

Abstract The mass personalization paradigm requires manufacturing enterprises to adapt to market changes quickly to meet customer demands. It also imposes higher requirements for designing intelligent production lines. Based on the digital twin (DT) technology, a rapid customized design method is proposed for developing new board-type furniture production lines. The DT has the characteristics of interactive virtual-reality mapping and fusion. It could provide design guidance and decision-support services in the design phase, yield the engineering analyzing ability to solve coupled problems, and finally generate the authoritative design scheme of the manufacturing system. A production line design platform is developed based on the DT model, which can parallelize the design process and reduce the design cycle. The parallel control between the physical world and digital space is achieved by establishing the DT network and perceiving the status of the physical equipment. Five key enabling technologies are introduced to provide the theoretical fundamentals for implementing the DT-based manufacturing system design approach. A board-type furniture production line is presented as a case study to verify the effectiveness of the method.

Study on Structural Complexity of Transmission Case Production Line

2013 ◽  
Vol 765-767 ◽  
pp. 163-166
Author(s):  
Ping Han ◽  
Li Li Ma ◽  
Nai Wei Zou
Keyword(s):  
System Design ◽  
Production Line ◽  
Manufacturing System ◽  
Structural Complexity ◽  
System Structure ◽  
Production Lines ◽  
Complexity Level ◽  
Transmission Case ◽  
Manufacturing System Design ◽  
And Control

Complexity level is one of the factors that affect manufacturing system design and control, so study on complexity quantification is gaining more attention. A method that combined information entropy and system structure factor is introduced to measure the complexity of transmission case production line. The method can realize structural complexity comparison among various production lines that provide reference for manufacturing system design, and in practice systems designed with lower complexity level are controlled and managed more easily and accurately.

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 Lean buffering in serial production lines with Bernoulli machines

2006 ◽  
Vol 2006 ◽  
pp. 1-24 ◽  
Author(s):  
A. B. Hu ◽  
S. M. Meerkov
Keyword(s):  
Production Rate ◽  
Analytical Methods ◽  
Production Line ◽  
Manufacturing System ◽  
Buffer Capacity ◽  
Reliability Model ◽  
Production Lines ◽  
Serial Production ◽  
Serial Production Lines ◽  
Nonidentical Machines

Lean buffering is the smallest buffer capacity necessary to ensure the desired production rate of a manufacturing system. In this paper, analytical methods for selecting lean buffering in serial production lines are developed under the assumption that the machines obey the Bernoulli reliability model. Both closed-form expressions and recursive approaches are investigated. The cases of identical and nonidentical machines are analyzed. Results obtained can be useful for production line designers and production managers to maintain the required production rate with the smallest possible inventories.

scholarly journals Manufacturing system design based on axiomatic design: Case of assembly line

2017 ◽  
Vol 10 (1) ◽  
pp. 111 ◽  
Author(s):  
Triki Hager ◽  
Hachicha Wafik ◽  
Masmoudi Faouzi
Keyword(s):  
Production Line ◽  
Manufacturing System ◽  
Assembly Line ◽  
Axiomatic Design ◽  
Analysis And Design ◽  
Manufacturing System Design ◽  
Structured Analysis ◽  
Line Design ◽  
Structured Analysis And Design ◽  
Initial Line

Purpose:  In this paper, a combined Production Line Design (PLD) process which includes many design aspects  is presented, developped and validated.Design/methodology/approach: The PLD process is based on the SADT (Structured Analysis and Design Technique) diagram and the Axiomatic Design (AD) method.Practical implications: For a purpose of validation, this proposed process has been applied in a manufacturing company and it has been validated by simulation.Findings: The results of the validation indicated that the production line designed by this process is outperformed the initial line of the company.Originality/value: Recently, the problems of production line design (PLD) have attracted  the attention of many researchers. However, only a few studies have treated the PLD which includes all design aspects. In this work, a combined PLD porcess is presented. It should be noted that the proposed process is simple and effective.

scholarly journals Application framework of digital twin-driven product smart manufacturing system: A case study of aeroengine blade manufacturing

2019 ◽  
Vol 16 (5) ◽  
pp. 172988141988066
Author(s):  
Xuqian Zhang ◽  
Wenhua Zhu
Keyword(s):  
Manufacturing System ◽  
Hot Spot ◽  
Industrial Applications ◽  
Smart Manufacturing ◽  
Application Framework ◽  
Digital Twin ◽  
Mapping Technology ◽  
Key Enabling Technologies ◽  
New Research ◽  
Machining Parameter

In the wake of the continuous deepening of the application of new generation information technology in the manufacturing field, digital twin, as a most new active factors for smart manufacturing, has become a new research hot spot. Based on such a background, the article proposes a novel application framework of digital twin-driven product smart manufacturing system and analyzes its operation mechanism. Key enabling technologies such as digital twin mapping technology with manufacturing entity, twinning of cyber and physical manufacturing system, as well as twining data-driven machining parameter optimization are also illustrated in detail. Finally, a case of the aeroengine fan blade manufacturing is given to demonstrate the feasibility and effectiveness of the implementation method mentioned above. Meanwhile, potential industrial applications and limitations are discussed as well to provide valuable insights to aeroengine blade manufacturers.

scholarly journals Fault Diagnosis of Intelligent Production Line Based on Digital Twin and Improved Random Forest

2021 ◽  
Vol 11 (16) ◽  
pp. 7733
Author(s):  
Kai Guo ◽  
Xiang Wan ◽  
Lilan Liu ◽  
Zenggui Gao ◽  
Muchen Yang
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Random Forest ◽  
Production Line ◽  
Physical World ◽  
Machine Learning Algorithms ◽  
New Paradigm ◽  
Digital Twin ◽  
Actual Production ◽  
Operation Process

Digital twin (DT) is a key technology for realizing the interconnection and intelligent operation of the physical world and the world of information and provides a new paradigm for fault diagnosis. Traditional machine learning algorithms require a balanced dataset. Training and testing sets must have the same distribution. Training a good generalization model is difficult in an actual production line operation process. Fault diagnosis technology based on the digital twin uses its ultrarealistic, multisystem, and high-precision characteristics to simulate fault data that are difficult to obtain in an actual production line to train a reliable fault diagnosis model. In this article, we first propose an improved random forest (IRF) algorithm, which reselects decision trees with high accuracy and large differences through hierarchical clustering and gives them weights. Digital twin technology is used to simulate a large number of balanced datasets to train the model, and the trained model can be transferred to a physical production line through transfer learning for fault diagnosis. Finally, the feasibility of our proposed algorithm is verified through a case study of an automobile rear axle assembly line, for which the accuracy of the proposed algorithm reaches 97.8%. The traditional machine learning plus digital twin fault diagnosis method proposed in this paper involves some generalization, and thus has practical value when extended to other fields.

scholarly journals Estimating net ideal cycle time for body-in-white production lines

ORiON ◽  
2021 ◽  
Author(s):  
Willem C. Grobler ◽  
Dirk J. Kotze ◽  
Johan W. Joubert
Keyword(s):  
Automotive Industry ◽  
Cycle Time ◽  
Production Line ◽  
Basic Structure ◽  
Production Lines ◽  
Current Estimation ◽  
Proposed Model ◽  
Body In White ◽  
State Of Practice ◽  
Line Design

In the automotive industry, a Body in White (BIW) refers to the first step, the basic structure, in the production of a vehicle. Once a BIW production line has been built, the (maximum) capacity is fixed and throughput is therefore limited by the equipment specified during the design phase. The main metric used to inform the production line design is the Net Ideal Cycle Time (NICT). Unfortunately, the state of practice to estimate the NICT is a basic heuristic that does not account for production variation. In this paper, we challenge the current estimation approach by proposing an alternative that assumes actual production to follow a Weibull distribution. The proposed model is derived and estimated from empirical data. The results suggest that BIW production lines have traditionally been designed with too low a capacity, resulting in planned throughput rarely being achieved. On the other hand, increasing the design capacity implies a higher initial investment. In this paper it is demonstrated that the higher investment required is offset by reduced losses, resulting in more reliable planning and returns.

A digital-twin visualized architecture for Flexible Manufacturing System

2021 ◽  
Vol 60 ◽  
pp. 176-201
Author(s):  
Yepeng Fan ◽  
Jianzhong Yang ◽  
Jihong Chen ◽  
Pengcheng Hu ◽  
Xiaoyu Wang ◽  
...  
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Digital Twin

scholarly journals Perceptions of midwives on shortage and retention of staff at a public hospital in Tshwane District

Curationis ◽  
2019 ◽  
Vol 42 (1) ◽  
Author(s):  
Mosehle S. Matlala ◽  
Thanyani G. Lumadi
Keyword(s):  
Decision Making ◽  
Design Method ◽  
Quality Care ◽  
Sampling Technique ◽  
The Status ◽  
Generic Qualitative ◽  
Tertiary Hospitals ◽  
Decision Making Processes ◽  
Group Interviews ◽  
The Impact

Background: Midwifery is the backbone of women and child healthcare. The shortage of staff in maternity units is a crisis faced by many countries worldwide, including South Africa.Objectives: This study aims to explore the perceptions of midwives on the shortage and retention of staff at a public institution.Method: The study was conducted at one of the tertiary hospitals in Tshwane District, Gauteng Province. A total of 11 midwives were interviewed through face-to-face and focus group interviews. An explorative, descriptive generic qualitative design method was followed, and a non-probability, purposive sampling technique was used. Thematic coding analysis was followed for analysing data.Results: The impact of shortage of midwives was reported to be directly related to poor provision of quality care as a result of increased workload, leading to low morale and burnout. The compromised autonomy of midwives in the high obstetrics dependency units devalues the status of midwives.Conclusion: Midwives are passionate about their job, despite the hurdles related to their day-to-day work environment. They are demoralised by chronic shortage of staff and feel overworked. Staff involvement in decision-making processes is a motivational factor for midwives to stay in the profession. The midwives need to be in the centre of the decision-making processes related to their profession. The revision of the scope of practice and classification of midwifery profession away from general nursing complex by the South African Nursing Council (SANC) could place midwifery in its rightful status.

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