Development of Assembly Process Information Management System Using Model-Based Definition Technology

Zeng, Pengfei; Wang, Hao; Shi, Chunjing; Shao, Wei; Hao, Yongping

doi:10.1007/978-3-030-89098-8_61

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Those core concepts have been used in several approaches targeting different assembly-related activities, e.g., assembly sequencing (Sung et al 2001;Ullah et al 2009;Neb and Hitzer 2020), assembly planning (Case and Wan Harun 1999;Bronsvoort and Noort 2004), and virtual assembly (Shyamsundar and Gadh 2001;Zhu et al 2010a;Wang et al 2013;Adamson et al 2019). These approaches have proposed different forms of representing assembly information, ranging from international standards for product information representation (Fenves 2002;Rachuri et al 2006;ISO 2018) to databases (Shah and Rogers 1988; Roy and Liu 1988;Kang and Nnaji 1993), ontologies (Dartigues et al 2007;Fiorentini et al 2007;Barbau et al 2012;Hasan et al 2014a;Huang et al 2015), model-based definitions (Ye et al 2015;Wan et al2016;Zeng et al 2021), among others. However, the continuous appearance of new concepts and approaches denotes the need for a unified way to represent assembly-related aspects that could be applied during the whole product development process and comprises the perspectives of all its participants.…”

Section: Introductionmentioning

confidence: 99%

Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation

Minango

Maffei

2022

Res Eng Design

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Product development requires sharing information of a diverse nature between several actors. Since the new products resulting from this process often require assembly as part of their manufacturing processes, it becomes necessary to promote a functional information representation for the assembly domain. Several authors have proposed different core concepts to represent the information related to assembly. However, the resulting body of knowledge is fragmented and lacks a unified concept and definition of the information this concept should contain to be broadly adopted by the academy and industry. This study aims to identify and characterize the core concepts used to enclose the assembly information (e.g., assembly features, ports, connectors, and others) by conducting a literature review in the domain of discrete manufacturing, considering the period between 1985 and 2022. It was found that the literature is rich in concepts but often diverging: a clear depiction of the assembly information required by the involved stakeholders during the whole product development process remains elusive. This work's contribution addresses this gap by identifying the perspectives from which the assembly information can be studied, and the information required to describe the assembly process fully. The resulting information requirements were used to assess the existing approaches addressing assembly information representation. These findings can be used as a base to establish a comprehensive assembly information representation in the future.

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Section: Introductionmentioning

confidence: 99%

Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation

Minango

Maffei

2022

Res Eng Design

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“…And they proposed a digital platform data integration technology architecture for radar assembly shops, which solved the cross-platform quality data exchange problem and reduced the coupling degree of their system integration (Ben, 2020). The assembly process information management system was designed, using Microsoft SQL Server as the database management system to achieve integration with the workshop information management system (Zeng et al , 2021). An information technology model was presented to integrate heterogeneous quality-related information on the vehicle assembly production process (Gewohn et al , 2018a; Gewohn et al , 2018b).…”

Section: Introductionmentioning

confidence: 99%

An industrial heterogeneous data based quality management KPI visualization system for product quality control

Zhao

Luo²,

Li³

et al. 2022

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Purpose Quality management systems are commonly applied to meet the increasingly stringent requirements for product quality in discrete manufacturing industries. However, traditional experience-driven quality management methods are incapable of handling heterogeneous data from multiple sources, leading to information islands. This study aims to present a quality management key performance indicator visualization (QM-KPIVIS) system to enable integrated quality control and ultimately ensure product quality. Design/methodology/approach Based on multiple heterogeneous data, an integrated approach is proposed to quantify explicitly the relationship between Internet of Things data and product quality. Specifically, this study identifies the tracing path of quality problems based on multiple heterogeneous quality information tree. In addition, a hierarchical analysis approach is adopted to calculate the key performance indicators of quality influencing factors in the quality control process. Findings Proposed QM-KPIVIS system consists of data visualization, quality problem processing, quality optimization and user rights management modules, which perform in a well-coordinated manner. An empirical study was also conducted to validate the effectiveness of proposed system. Originality/value To the best of the authors’ knowledge, this study is the first attempt to use industrial Internet of Things and multisource heterogeneous data for integrated product quality management. Proposed approach is more user-friendly and intuitive compared to traditional empirically driven quality management methods and has been initially applied in the manufacturing industry.

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Development of Assembly Process Information Management System Using Model-Based Definition Technology

Cited by 2 publications

References 9 publications

Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation

Beyond assembly features: systematic review of the core concepts and perspectives towards a unified approach to assembly information representation

An industrial heterogeneous data based quality management KPI visualization system for product quality control

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