scholarly journals A review of smart manufacturing reference models based on the skeleton meta-model

2020 ◽  
Vol 7 (3) ◽  
pp. 323-336 ◽  
Author(s):  
Soonhung Han
Keyword(s):  
Reference Model ◽  
Smart Manufacturing ◽  
Meta Model ◽  
Reference Models ◽  
Digital Twin ◽  
Dimensionality Analysis

Abstract Standards will allow interoperability among stakeholders in the upcoming super-connected world. A smart manufacturing reference model (SMRM) is under development inside JWG21 between ISO and IEC. Based on a dimensionality analysis and the skeleton meta-model, the eight proposed SMRMs are reviewed and compared. The SMRMs are classified according to the number of lifecycle axes and the number of dimensional axes. Also, how the concept of a digital twin can be accommodated in an SMRM is investigated.

scholarly journals Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues

2020 ◽  
Vol 61 ◽  
pp. 101837 ◽  
Author(s):  
Yuqian Lu ◽  
Chao Liu ◽  
Kevin I-Kai Wang ◽  
Huiyue Huang ◽  
Xun Xu
Keyword(s):  
Reference Model ◽  
Smart Manufacturing ◽  
Research Issues ◽  
Digital Twin

Digital twin and blockchain enhanced smart manufacturing service collaboration and management

2020 ◽  
Author(s):  
Fei Tao ◽  
Yongping Zhang ◽  
Ying Cheng ◽  
Jiawei Ren ◽  
Dongxu Wang ◽  
...  
Keyword(s):  
Smart Manufacturing ◽  
Digital Twin ◽  
Service Collaboration

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.

Digital Twin for rotating machinery fault diagnosis in smart manufacturing

2018 ◽  
Vol 57 (12) ◽  
pp. 3920-3934 ◽  
Author(s):  
Jinjiang Wang ◽  
Lunkuan Ye ◽  
Robert X. Gao ◽  
Chen Li ◽  
Laibin Zhang
Keyword(s):  
Fault Diagnosis ◽  
Rotating Machinery ◽  
Smart Manufacturing ◽  
Digital Twin ◽  
Machinery Fault Diagnosis

scholarly journals AGRICULTURAL MACHINERY AND IMPLEMENTS DESIGN PROCESS: GUIDELINES FOR SMALL AND MID-SIZED BUSINESSES

2016 ◽  
Vol 36 (1) ◽  
pp. 206-216 ◽  
Author(s):  
Renato L. Bergamo ◽  
Leonardo N. Romano
Keyword(s):  
Human Resources ◽  
Case Studies ◽  
Design Process ◽  
Process Modeling ◽  
Reference Model ◽  
New Products ◽  
Machine Design ◽  
Reference Models ◽  
Knowledge Domains ◽  
Modeling Formalism

ABSTRACT This study aims at presenting the process of machine design and agricultural implements by means of a reference model, formulated with the purpose of explaining the development activities of new products, serving as a guideline to coach human resources and to assist in formalizing the process in small and medium-sized businesses (SMB), i.e. up to 500 employees. The methodology used included the process modeling, carried out from case studies in the SMB, and the study of reference models in literature. The modeling formalism used was based on the IDEF0 standard, which identifies the dimensions required for the model detailing: input information; activities; tasks; knowledge domains; mechanisms; controls and information produced. These dimensions were organized in spreadsheets and graphs. As a result, a reference model with 27 activities and 71 tasks was obtained, distributed over four phases of the design process. The evaluation of the model was carried out by the companies participating in the case studies and by experts, who concluded that the model explains the actions needed to develop new products in SMB.

Smart manufacturing based on Digital Twin technologies

Industry 4.0 ◽  
2020 ◽  
pp. 77-122 ◽  
Author(s):  
Shohin Aheleroff ◽  
Jan Polzer ◽  
Huiyue Huang ◽  
Zexuan Zhu ◽  
David Tomzik ◽  
...  
Keyword(s):  
Smart Manufacturing ◽  
Digital Twin

INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs

2021 ◽  
Author(s):  
Hui Zhao ◽  
Wei Liu ◽  
Xiang Rao ◽  
Guanglong Sheng ◽  
Huazhou Andy Li ◽  
...  
Keyword(s):  
Simulation Model ◽  
History Matching ◽  
3D Model ◽  
Reference Model ◽  
Three Dimensional ◽  
Data Driven ◽  
Series Data ◽  
Reference Models ◽  
Water Breakthrough

Abstract The data-driven interwell simulation model (INSIM) has been recognized as an effective tool for history matching and interwell-connectivity characterization of waterflooding reservoirs. INSIM-FT-3D (FT: front tracking) was recently developed to upgrade the applicationdimension of INSIM series data-driven models from two-dimensional (2D) to three-dimensional (3D). However, INSIM-FT-3D cannot accurately infer the dynamic change of well-connectivity and predict well's bottom-hole pressure (BHP). The main purpose of this study intends to expand the capability of INSIM-FT-3D to empower for the assimilation of BHPs, the reliable prediction of water breakthrough and the characterization of dynamic interwell-connectivities. The default setting of well index (WI) in INSIM-FT-3D based on Peaceman's equation does not yield accurate BHP estimates. We derive a WI that can honor the BHPs of a reference model composed of a set of 1D connections. When history matching BHPs of a 3D reservoir, we show that the derived WI is a better initial guess than that obtained from Peaceman's equation. We also develop a flow-path-tracking (FPT) algorithm to calculate the dynamic interwell properties (allocation factors and pore volumes (PVs)). Besides, we discuss the relationship between the INSIM-family methods and the traditional grid-based methods, which indicates that the INSIM-family methods can calculate the transmissibility of the connection between coarse-scale cells in a more accurate manner. As an improvement of INSIM-FT-3D, the newly proposed data-driven model is denoted as INSIM-FPT-3D. To verify the correctness of the derived WI, we present a 1D problem and a T-shaped synthetic reservoir simulation model as the reference models. BHPs and oil production rates are obtained as the observed data by running these two reference models with total injection/production-rate controls. An INSIM-FPT-3D model is created by specifying the transmissibilities and PVs that are the same as those in the reference model. By applying the derived WIs in INSIM-FPT-3D, the resulting BHPs and oil rates obtained agree well with the reference model without further model calibration. Applying INSIM-FPT-3D to a synthetic multi-layered reservoir shows that we obtain a reasonable match of both BHPs and oil rates with INSIM-FPT-3D. Compared with the FrontSim model, the INSIM-FPT-3D model after history matching is shown to match the dynamic PVs from FrontSim reasonably well and can correctly predict the timing of water breakthrough. By allowing for the assimilation of BHP data, we enable INSIM-FPT-3D to history match a green field with limited production history and forecast the timing of water breakthrough. The improved INSIM-FPT-3D leads to more accurate characterization of the interwell connectivities.

Ontological Analysis of Reference Models

2011 ◽  
pp. 56-81 ◽  
Author(s):  
Peter Fettke ◽  
Peter Loos
Keyword(s):  
Information Systems ◽  
Reference Model ◽  
Point Of View ◽  
Model Quality ◽  
Analysis And Evaluation ◽  
Reference Models ◽  
Planning And Control ◽  
Sound Theory ◽  
Ontological Analysis ◽  
And Control

Within the information systems field, reference models have been known for many years. A reference model is a conceptual framework and may be used as a blueprint for information systems development. Despite the relevance of reference model quality, little research has been undertaken on their systematical analysis and evaluation. In this chapter, we describe how reference models can be analyzed from an ontological point of view. Such an analysis consists of four steps: 1) developing a transformation mapping, 2) identifying ontological modeling deficiencies, 3) transforming the reference model, and 4) assessing the results. The usefulness of our method will be demonstrated by analyzing Scheer’s reference model for production planning and control. Although our approach is based on sound theory, we argue that this approach is not inherently superior to other approaches of reference model analysis and evaluation.

Sign in / Sign up

Export Citation Format

Share Document