Mechatronic System Design using Model-Based Systems Engineering and Set-Based Concurrent Engineering Principles

Borchani, Mohamed Firas; Ammar, Randa; Hammadi, Moncef; Choley, Jean-Yves; Yahia, Noureddine Ben; Barkallah, Maher; Louati, Jamel

doi:10.1109/mecatronics.2018.8495824

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…With the advent of Industry 4.0, the application of MBSE also gives more possibilities for industrial modernization. Borchani et al built a complex system based on MBSE that requires iterative exchange to effectively manage parallel workflows and reduce costs [6] . Li et al introduced a collaborative multidisciplinary engineering workflow built through an MBSE approach to enable interchange between different disciplines [7] .…”

Section: Introductionmentioning

confidence: 99%

Construction of MBSE-based smart beam yard system

Wang,

Dong

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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The wave of Industry 4.0 drives the development of intelligent manufacturing. A modern precast girder yard is a complex system that collects multiple elements such as intelligent sensing equipment, construction personnel, facility instruments, and data processing platforms, etc. The existing management platform has problems such as scattered management processes, poor integration, and poor delivery efficiency, etc. How to promote the interaction and collaboration of complex systems and increase the yield of precast girder yards is the current challenge for enterprises and researchers. This paper adopts a model-based system engineering approach to model the system requirements, system environment, system architecture, subsystem interactions and functions of the smart girder yard, and combines digital twin technology to build a digital twin of the physical girder yard, thus realizing visualization of girder yard production, construction simulation and intelligent scheduling decisions. Through system verification, the application of the smart girder yard system reduces the interference of human factors in the production schedule of the girder yard, improves the production efficiency, and meets the requirements of digital control of all elements of the production schedule.

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Section: Introductionmentioning

confidence: 99%

Construction of MBSE-based smart beam yard system

Wang,

Dong

2024

International Conference on Smart Transportation and City Engineering (STCE 2023)

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“…Recent research in model-based systems engineering (MBSE) [15,16] has provided approaches to describe mechanical subsystems as part of complex mechatronic products, e.g., in [17][18][19][20][21][22]. The core idea of these approaches is the establishment of a discipline-neutral functional architecture that serves as a consistent basis for discipline-specific development methods [23].…”

Section: Introductionmentioning

confidence: 99%

Seamless Function-Oriented Mechanical System Architectures and Models

Wyrwich,

Boelsen,

Jacobs

et al. 2024

Eng

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One major challenge of today’s product development is to master the constantly increasing product complexity driven by the interactions between different disciplines, like mechanical, electrical and software engineering. An approach to master this complexity is function-oriented model-based systems engineering (MBSE). In order to guide the developer through the process of transferring requirements into a final product design, MBSE methods are essential. However, especially in mechanics, function-oriented product development is challenging, as functionality is largely determined by the physical effects that occur in the contacts of physical components. Currently, function-oriented MBSE methods enable either the modeling of contacts or of structures as part of physical components. To create seamless function-oriented mechanical system architectures, a holistic method for modeling contacts, structures and their dependencies is needed. Therefore, this paper presents an extension of the motego method to model structures, by which the seamless parametric modeling of function-oriented mechanical system architectures from requirements to the physical product is enabled.

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“…Global competition has created the need for companies to develop innovative products that have shorter market time with higher quality at a lower cost. 1 Compounding this need is the increase in complexity of systems, changing environments, decentralization of tools and technologies, and rapid pace of change in which all of these pose significant challenges in delivering capabilities that meet customer needs on time and within budget. 2 To address these challenges most companies will need to make key decisions early in the product development life-cycle.…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Survey on set‐based design (SBD) quantitative methods

Dullen

Verma

Blackburn

et al. 2021

Systems Engineering

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Product development efforts now more than ever are in need of methodologies that can address the challenges of increased system complexities, shortening time to market, increased demands in mass customization, market instabilities, geographical barriers, improved innovation, and adaptability to emerging technologies. To address these challenges most companies will need to make key decisions early in the product development life-cycle. In this early phase there are high levels of information uncertainty and information ambiguity. Under these circumstances many companies will converge too early to a point design (Point Based Design-PBD) which will lead to increased cost and schedule delays due to reworking the design later in the product development life cycle. To overcome these challenges many researchers have proposed the Set-Based Design (SBD) methodology. However, there has been limited guidance on how to define, reason, and narrow sets while improving the level of abstraction of the design.To address such concerns, a literature review was conducted. The contributions of this research include: (1) aggregated literature from over 100 sources on quantitative methods (QM) that has not been considered SBD but does support set-based thinking,(2) consolidated body of knowledge on QM to help industrial practitioners implement SBD, (3) defined gaps and opportunities for future research, and (4) defined strengths and limitations of QM and techniques to define, reason and narrow sets.

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Mechatronic System Design using Model-Based Systems Engineering and Set-Based Concurrent Engineering Principles

Cited by 7 publications

References 3 publications

Construction of MBSE-based smart beam yard system

Construction of MBSE-based smart beam yard system

Seamless Function-Oriented Mechanical System Architectures and Models

Survey on set‐based design (SBD) quantitative methods

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