scholarly journals Model Driven Interoperability for System Engineering

Modelling ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 94-121
Author(s):  
Gregory Zacharewicz ◽  
Nicolas Daclin ◽  
Guy Doumeingts ◽  
Hezam Haidar
Keyword(s):  
Supply Chain ◽  
System Engineering ◽  
Model System ◽  
Enterprise Modeling ◽  
Cyber Physical System ◽  
Heterogeneous Information ◽  
Model Driven ◽  
Manufacturing Enterprises ◽  
Driven System ◽  
Enterprise Interoperability

To keep up to date, manufacturing enterprises need to use the latest results from the ICT sector, especially when collaborating with external partners in a supply chain and exchanging products and data. This has led to dealing with an increasing amount of heterogeneous information exchanged between partners including machines (physical means), humans and IT in the Supply Chain of ICT Systems (SC-ICTS). In this context, interoperability management is becoming more and more critical, but paradoxically, it is not yet fully efficiently anticipated, controlled and accompanied to recover from incompatibilities issues or failures. This paper intends to present how enterprise modeling, enterprise interoperability and model driven approaches can lead, together with system engineering architecture, to contribute to developing and improving the interoperability in the SC-ICTs. Model Driven System Engineering Architecture (MDSEA) is based on Enterprise Modeling using GRAI Model and its extensions. It gives enterprise internal developments guidelines, but originally, MDSEA is not the considering interoperability that is required between partners when setting a collaboration in the frame of SC-ICTS. As a result, the MDSEA, extended with interoperability concerns, led to the design of the MDISE (Model Driven Interoperability System Engineering) framework, which capitalizes on the research on enterprise interoperability. To finish, some proposals are made to extend the Model System Tool Box (MSTB) and the use of MDISE for Cyber Physical System (CPS) that are relevant components of SC-ICTS.

A partner selection problem for complex product of manufacturing enterprises in supply chain

2021 ◽  
pp. 1-13
Author(s):  
Congdong Li ◽  
Yinyun Yu ◽  
Wei Xu ◽  
Jianzhu Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Fuzzy Theory ◽  
Partner Selection ◽  
Manufacturing Companies ◽  
Complex Product ◽  
Manufacturing Enterprises ◽  
Collaborative Manufacturing ◽  
Matching Degree ◽  
Decision Making Model

In order to better meet customer needs and respond to market demands more quickly, mounting number of manufacturing companies have begun to bid farewell to the traditional unitary manufacturing model. The collaborative manufacturing model has become a widely adopted manufacturing model for manufacturing companies. Aiming at the problem of partner selection for collaborative manufacturing of complex products in a collaborative supply chain environment, this paper proposes a multi-objective decision-making model that comprehensively considers the maximization of the matching degree of manufacturing capacity and the profits of supply chain, and gives the modeling process and application steps in detail. The method first uses fuzzy theory to evaluate the manufacturing capabilities of candidate collaborative manufacturing partners. Secondly, Vector Space Model (VSM) is used to calculate the matching degree of manufacturing capacity and manufacturing demand. Then, the paper studied the profit of the supply chain under the “non-cooperative” mechanism and the “revenue sharing” mechanism. Furthermore, the decision-making model is established. Finally, a simulation was carried out by taking complex product manufacturing of Gree enterprise as an example. The research results show the feasibility and effectiveness of the method.

Model Driven System Design Working Group: FOUNDATIONAL CONCEPTS FOR MODEL DRIVEN SYSTEM DESIGN

1996 ◽  
Vol 6 (1) ◽  
pp. 1179-1185 ◽  
Author(s):  
Loyd Baker ◽  
Paul Clemente ◽  
Bob Cohen ◽  
Larry Permenter ◽  
Byron Purves ◽  
...  
Keyword(s):  
System Design ◽  
Working Group ◽  
Model Driven ◽  
Driven System

The Influencing Factors Analysis of Implementing Green Supply Chain Based on the Investigation Data in Shandong Province of China

2013 ◽  
Vol 671-674 ◽  
pp. 3049-3054
Author(s):  
Cao Qian ◽  
Xi Jian Quan ◽  
Yu Yan Wang
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Energy Consumption ◽  
Product Design ◽  
Influencing Factors ◽  
Shandong Province ◽  
Raw Material ◽  
Green Supply Chain ◽  
Manufacturing Enterprises ◽  
Factors Analysis

On the basis of investigation and research, we firstly determined factors that impact manufacturing enterprises to implement green supply chain. Then, based on data of Parts of manufacturing enterprises in Shandong Province implementing green supply chain, the influencing factors of manufacturing enterprises implementing green supply chain is analyzed by factor analysis. The conclusion show that the influencing factors mainly concentrates in seven aspects that is raw material purchase, the enterprise internal management, the worn recycling, the product design, the enterprise prestige, the enterprise energy consumption, the reject processes.

Model-Driven Applications

2014 ◽  
pp. 53-72 ◽  
Author(s):  
Tong-Ying Yu
Keyword(s):  
Enterprise Architecture ◽  
Evolutionary Model ◽  
Critical Issue ◽  
Enterprise Modeling ◽  
Enterprise Engineering ◽  
Analysis And Design ◽  
Model Driven ◽  
Business Change ◽  
Enterprise Model ◽  
The Right

How to bridge the gap between business and Information Technology (IT) has always been a critical issue for both the developers and IT managers. The individualized, differentiated demands by different customers and situations, the constantly changing in both business and IT are great challenges to the applications for enterprises. In this chapter, the authors respectively discuss the left side (computer) in software engineering, with Object-Orientation (OO), Model-Driven Engineering (MDE), Domain-Driven Development (DDD), Agile, etc., and the right side (the business) in Enterprise Engineering (EE) with Enterprise Modeling (EM), and Enterprise Architecture (EA) of the gap. It is shown there are some fundamental problems, such as the transforming barrier between analysis and design model, the entanglement of business change and development process, and the limitation to the enterprise engineering approaches such as EA by IT. Our solution is concentrated on the middle, the inevitable model as a mediator between human, computer, and the real world. The authors introduce Model-Driven Application (MDApp), which is based on Model-Driven Mechanism (MDM), operated on the evolutionary model of the target thing at runtime; it is able to largely avoid the transforming barrier and remove the entanglement. Thus, the architecture for Enterprise Model Driven Application (EMDA) is emerged, which is able to strongly support EE and adapts to the business changing at runtime.

Determining and Applying Productive, Environmental and Economical Indicators and Indexes to a Cyber Physical System for Greening Process of Supply Chain

2021 ◽  
pp. 3-20
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Mario Enrique Hernández Korner
Keyword(s):  
Supply Chain ◽  
Physical System ◽  
Cyber Physical System

Modeling Techniques for Software-Intensive Systems

2009 ◽  
pp. 21-57 ◽  
Author(s):  
Holger Giese ◽  
Stefan Henkler ◽  
Martin Hirsch ◽  
Vladimir Rubin ◽  
Matthias Tichy
Keyword(s):  
Architectural Design ◽  
Large Scale ◽  
Organizational Structures ◽  
Physical World ◽  
Tool Support ◽  
Design Activity ◽  
Full Potential ◽  
Heterogeneous Information ◽  
Model Driven ◽  
Software Intensive

Software has become the driving force in the evolution of many systems, such as embedded systems (especially automotive applications), telecommunication systems, and large scale heterogeneous information systems. These so called software-intensive systems, are characterized by the fact that software influences the design, construction, deployment, and evolution of the whole system. Furthermore, the development of these systems often involves a multitude of disciplines. Besides the traditional engineering disciplines (e.g., control engineering, electrical engineering, and mechanical engineering) that address the hardware and its control, often the system has to be aligned with the organizational structures and workflows as addressed by business process engineering. The development artefacts of all these disciplines have to be combined and integrated in the software. Consequently, software-engineering adopts the central role for the development of these systems. The development of software-intensive systems is further complicated by the fact that future generations of software-intensive systems will become even more complex and, thus, pose a number of challenges for the software and its integration of the other disciplines. It is expected that systems become highly distributed, exhibit adaptive and anticipatory behavior, and act in highly dynamic environments interfacing with the physical world. Consequently, modeling as an essential design activity has to support not only the different disciplines but also the outlined new characteristics. Tool support for the model-driven engineering with this mix of composed models is essential to realize the full potential of software-intensive systems. In addition, modeling activities have to cover different development phases such as requirements analysis, architectural design, and detailed design. They have to support later phases such as implementation and verification and validation, as well as to systematically and efficiently develop systems.

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