scholarly journals Towards Model Synchronization for Consistency Management of Mechatronic Systems

2020 ◽  
Vol 10 (10) ◽  
pp. 3577 ◽  
Author(s):  
Aroua Berriche ◽  
Faïda Mhenni ◽  
Abdelfattah Mlika ◽  
Jean-Yves Choley
Keyword(s):  
Early Stage ◽  
Project Manager ◽  
Modeling Languages ◽  
Mechatronic Systems ◽  
Transformation Techniques ◽  
Consistency Management ◽  
Development Cycle ◽  
Model Synchronization ◽  
Engineering Models ◽  
Collaborative Methodology

The development of a mechatronic system involves different designers having various viewpoints on the overall system to handle its complexity. Consequently, multiple models are created from a variety of domains such as mechanical, electronic, and software engineering. These models use different formalisms, modeling languages, and tools to address specific concerns. The major challenge of this approach is to identify and solve any potential inconsistency between models in order to minimize costs and development time before the verification and validation phases. This paper proposes a new collaborative methodology to maintain consistency between different engineering disciplines at an early stage of the development cycle of mechatronic systems based on Model-Based Engineering (MBE). We apply a model synchronization approach to actively check for model consistency in a continuous way during the multidisciplinary design process. As a novel contribution of this paper, we demonstrate how model transformation techniques can be employed; firstly, to abstract various engineering models in a common formalism based on graph theory and, secondly, to update models with appropriate changes evaluated by a project manager. We also show how to detect the differences automatically, and we discuss where designer decisions are essential.

Supporting Co-Design of Physical and Control Architectures of Mechatronic Systems

2011 ◽  
Author(s):  
Andre´s A. Alvarez Cabrera ◽  
Hitoshi Komoto ◽  
Tetsuo Tomiyama
Keyword(s):  
Control Structure ◽  
Mutual Influence ◽  
Early Stage ◽  
Physical Structure ◽  
Mechatronic Systems ◽  
Design Problems ◽  
Software And Hardware ◽  
Design Integration ◽  
And Control ◽  
Recent Tendency

There is a rather recent tendency to define the physical structure and the control structure of a system concurrently when designing the architecture of a product, i.e., to perform codesign. We argue that co-design can only be enabled when the mutual influence between physical system and control is made evident to the designer at an early stage. Though the idea of design integration is not new, to the best of our knowledge, there is no computer tooling that explicitly supports this activity by enabling co-design as stated before. In this paper the authors propose a method for co-design of physical and control architectures as a better approach to design mechatronic systems, allowing to exploit the synergy between software and hardware and detecting certain design problems at an early stage of design. The proposed approach is supported by a set of tools and demonstrated through an example case.

Indusrty Clusters in Peripheral Regions

2011 ◽  
pp. 99-126
Author(s):  
Philip Rosson ◽  
Carolan McLarney
Keyword(s):  
Early Stage ◽  
Peripheral Region ◽  
Focus Attention ◽  
Cluster Development ◽  
Support Organizations ◽  
Development Cycle ◽  
Research Findings ◽  
Biotechnology Companies ◽  
Peripheral Regions

This chapter examines a nascent biotechnology cluster in a city that lies outside Canada’s industrial heartland. The purpose of the study was to focus attention on the nature of cluster development in peripheral regions. The research findings reveal that many support services are provided to Halifax-based biotechnology companies and made use of by companies. However, barriers to development still exist, and support organizations and companies are not certain that a cluster truly exists in Halifax at this time. What results is a case study of a cluster at an early stage in its development cycle and in a peripheral region. The authors encourage other researchers to examine cluster development outside of major industrial centers.

Product Development Task Planning Using Worth Flow Analysis of Interacting Components

2007 ◽  
Author(s):  
Toshiharu Miwa ◽  
Kosuke Ishii
Keyword(s):  
Product Development ◽  
Large Scale ◽  
Early Stage ◽  
Flow Analysis ◽  
Manufacturing Firms ◽  
Trial And Error ◽  
Task Planning ◽  
Feedback Information ◽  
Development Cycle ◽  
Planning Methods

The acceleration of product development cycle continues to be a significant challenge for manufacturing firms around the world. This paper describes a task planning method for minimizing trial and error to reduce the development time in large-scale and complicated product development at the early stage of product development. The proposed method matches the group of product components according to geometry and determines the development sequence of each component to minimize the amount of feedback information across task groups. The method applies as evaluation index for task prioritization the product-sum of engineering interaction among components and worth of each component, the “worth flow.” The paper shows with an example of the generic hair drier with simple mechanical structure that this method contributes to the reduction of the size of task group by 22% and amount of information required for setting the interface links by 65% compared to the conventional planning methods.

Product Function: Component Modeling Using Rough Sets

2009 ◽  
Author(s):  
Toshiharu Miwa ◽  
Hideki Aoyama
Keyword(s):  
Product Development ◽  
Rough Sets ◽  
Early Stage ◽  
Modeling Method ◽  
Rough Sets Theory ◽  
Development Cycle ◽  
Product Function ◽  
Lower And Upper Approximations ◽  
Sets Theory ◽  
Manufacturing Parameters

The acceleration of the product development cycle continues to be a significant challenge for manufacturing firms around the world. The misunderstanding of important relationships between product functions and components leads the delay of product development. The present paper describes an identification method of the relationships between product functions and components at the early stage of product development. The proposed product function-component modeling method using rough sets theory extracts the characteristic relationships between product functions and components from a small amount of the qualitative and linguistically-expressed knowledge data. The advantage of using the rough sets is that the combination of necessary and possible sets (lower and upper approximations) represents the vague knowledge. The present paper describes an example of a conventional cutting process with 6 manufacturing parameters that this method contributes to the identification of cutting mechanism from a small amount of sampling data (7% of whole event) compared to the conventional statistical modeling method.

Private Equity and Distressed Debt Funds Emerging Role in Preventing and Participating in Restructurings

2017 ◽  
Author(s):  
Christopher Mallon ◽  
Shai Y. Waisman ◽  
Ray C. Schrock
Keyword(s):  
Private Equity ◽  
Early Stage ◽  
Leveraged Buyouts ◽  
Subordinated Debt ◽  
Investment Activity ◽  
Track Record ◽  
Development Cycle ◽  
Start Up ◽  
Wide Range ◽  
A Company

Private equity (‘PE’) investment and distressed debt investment covers a wide range of investment activity by pooled investment vehicles (ie, funds) in privately or publicly (through ‘take-private’ transactions or IPO’s) owned companies, using capital raised from institutional investors that are limited partners of the funds. Such investment activity can be broadly categorized according to the point at which the investment is made within the typical development cycle of a company: (i) initial venture capital provides seed capital for start-up businesses; (ii) growth capital assists early-stage companies with the growth of their operations; (iii) mezzanine financing, comprising the contribution of subordinated debt or preferred equity, provides further capital to more established businesses; (iv) leveraged buyouts (‘LBOs’) are pursued to acquire portfolio businesses with a proven track record of sales and financial performance; and (v) distressed debt investing (the focus of this chapter) which provides support to companies that are in financially precarious positions.

Evolution in Design Methodology for Complex Electric Ships

2021 ◽  
pp. 1-13
Author(s):  
Vittorio Bucci ◽  
Giorgio Sulligoi ◽  
Julie Chalfant ◽  
Chryssostomos Chryssostomidis
Keyword(s):  
Early Stage ◽  
Traditional Approach ◽  
Methodological Approach ◽  
Three Dimensional ◽  
Regulatory Requirements ◽  
Development Cycle ◽  
Final Design ◽  
New Methodologies ◽  
Computational Resources ◽  
The Impact

Modern ships are highly complex technological systems and have a long and resource-intensive development cycle. Moreover, the final design must comply with many specific technical and regulatory requirements while constraining the capital and operational expenditures. Decisions made during the early stages of design have a large impact on ship functionality and determine the overall configuration of the ship; the advanced computational resources available today can be used to change the traditional approach to ship design, significantly improving the data available for these early-stage decisions. Moreover, the new methodologies can improve the ability to assess the impact of innovative technologies such as those inherent in the complete electrification of ships, and can simultaneously allow visualization of a three-dimensional (3D) virtual prototype of the designs. In this article, a methodological approach is presented that exemplifies these advantages.

Business Intelligence 2.0

2012 ◽  
pp. 272-285
Author(s):  
Rubén A. Mendoza
Keyword(s):  
Business Intelligence ◽  
Early Stage ◽  
Service Oriented Architectures ◽  
Distributed Software ◽  
Current State ◽  
Development Cycle ◽  
Automatic Discovery ◽  
Extensible Markup ◽  
Service Oriented ◽  
Software Services

Business Intelligence 2.0 is an umbrella term used to refer to a collection of tools that help organizations extend their BI capabilities using Internet platforms. BI 2.0 tools can enable the automatic discovery of distributed software services and data stores, greatly increasing the range of market options for an organization. The development cycle for these tools is still in its early stage, and much work remains. However, some technologies and standards are already well understood in order to make a significant impact. This paper provides an overview of the eXtensible Markup Language (XML) and related technologies supporting the deployment of web services and service-oriented architectures (SOA). The author summarizes the critical importance of these technologies to the emergence of BI 2.0 tools. This paper also explores the current state of Internet-enabled BI activities and strategic considerations for firms considering BI 2.0 options.

ArchME: A Systems Modeling Language extension for mechatronic system architecture modeling

2017 ◽  
Vol 32 (1) ◽  
pp. 75-91 ◽  
Author(s):  
Ruirui Chen ◽  
Yusheng Liu ◽  
Yue Cao ◽  
Jianjun Zhao ◽  
Lin Yuan ◽  
...  
Keyword(s):  
System Architecture ◽  
System Modeling ◽  
Modeling Language ◽  
Modeling Languages ◽  
Systems Modeling ◽  
Mechatronic System ◽  
Mechatronic Systems ◽  
Detail Design ◽  
Language Extension ◽  
Architecture Modeling

AbstractSystem architecture is important for the design of complex mechatronic systems because it acts as an intermediator between conceptual design and detail design. An explicit and exact system modeling language is imperative for successful architecture design. However, some deficiencies remain, such as the lack of geometry elements, hybrid behavior description, and specific association semantics for existing architecture modeling languages. In this study, a Systems Modeling Language extension for mechatronic system architecture modeling called ArchME is proposed. The requirements for the mechatronic System Modeling Language are analyzed, and the metamodels are defined. Then, the modeling elements are determined. Finally, the profiles based on the systems modeling language are defined to support the modeling of function, behavior, structure, and their association. This enables system designers to model the system architecture and facilitates communication between different stakeholders. A case study is provided to demonstrate the modeling capability of ArchME.

Managing Semantic Consistency in Model-Based Systems Engineering Using a Matrix Structure

2012 ◽  
Author(s):  
Yun Ye ◽  
Marija Jankovic ◽  
Jean-Claude Bocquet
Keyword(s):  
Systems Engineering ◽  
Modeling Languages ◽  
Matrix Structure ◽  
Engineering Systems ◽  
Semantic Consistency ◽  
Consistency Management ◽  
Model Based ◽  
Information Transformation ◽  
The Matrix ◽  
Model Based Systems Engineering

Model-Based Systems Engineering (MBSE) currently lacks a formalized way of managing modeling consistency. This paper presents a new methodology for semantic consistency management in MBSE. At its core, a matrix structure which extends the Multiple Domain Matrix (MDM) and Engineering Systems Matrix (ESM) is used to organize semantic relations between modeling elements created by using various modeling languages and tools, and to represent how they change over time. In addition, this paper describes how the new matrix can be automatically maintained by a plug-in module which manages the bidirectional information transformation between the model and the matrix. We show that the utilization of our methodology has potential in avoiding ambiguous namings in models, enhancing the traceability of modeling elements as well as reducing manual work. A real world engineering use case with air-conditioning is used to show the utilization of our methodology.

Research on Game Analysis and Resources Allocation in Multi-Project Management

2011 ◽  
Vol 121-126 ◽  
pp. 4619-4624
Author(s):  
Qi Zhang ◽  
Hai Bing Chen
Keyword(s):  
Resource Allocation ◽  
Project Management ◽  
Operating Cost ◽  
Project Manager ◽  
Resources Allocation ◽  
Team Members ◽  
Game Analysis ◽  
Existing Problems ◽  
Development Cycle ◽  
Key Issues

In order to cope with the pressure from competition of global marketization, it’s common for enterprises to carry out multiple projects at the same time. The following has always been the focus and key issues for management wanting to achieve greater operational benefits when carrying out multiple projects simultaneously 1. resource allocation 2. shorten project-development cycle by coordinating relationships between team members 3. lower operating cost This paper covers 4. Introducing the concept of Multi-Project Management and its difference from general project management 5. Analyze the advantages and existing problems of Multi-Project Management 6. Address the issues such as resource allocation and conflicts resolution/coordination between project manager & operation manager by using Quantitative Analysis such as Game theory 7. Provide theory reference and practical suggestions for entrepreneurs.

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