Towards the Development of an Ontology-Based Product Requirement Model

Yaman, Omer; Zhu, Bin; Roy, Utpal

doi:10.1115/imece2014-38693

Cited by 4 publications

(3 citation statements)

References 17 publications

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“…The work in [11] developed an user-based strategy to define a structured set of guidelines to support the design of the features of an integrated PLM requirement management tool based on Kano methodology. The study in [12] proposed a Product Design Requirement Ontology Model which provides rich requirement semantics to support a new level of engineering requirement storage and analysis by addressing different facets of requirement specifications. In [13], a product requirement modeling method based on configuration design was presented.…”

Section: Requirement Elicitationmentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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： The customer requirement modeling is a highly important part of a product development process for understanding the customers and market needs. But with the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers' requirements. This paper provides a new synthesized multidisciplinary customer requirements modeling method for obtaining and describing the common understanding of customer requirements and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development.Key words: complex mechatronic product, multidisciplinary customer requirements modeling, disciplinary specialty language dictionary, high-speed train 1.IntroductionWith the mass customization of product design and development, the individuality and diversity of customer requirements for a complex mechatronic product is ever increasing, the manufacturer enterprises are facing tremendous pressures and challenges to deal with the diverse and rapid changing customer and market requirements. The traditional "product-centric" design method for complex mechatronic products has been unable to adapt to the growing market competition, therefore, the enterprises should shift the design focus to the "customer-centric" design methods for complex mechatronic products. Customer requirement modeling thus becomes a highly significant part of a product development process and it also has been a research topic for years and used in the field of system and software development [1].The ultimate purpose of traditional customer requirements modeling is that realizes the mapping of CRs in the customer domain to PDS (a formalized specification of customers' requirements and a list of the product performance, environment, quality, reliability, security, life cycle and other elements with considering performance and cost constraints, design inputs, constraints and goals and so on [30]) in the designer domain to improve the development efficiency and reduce the development cost. Through many years of research and application, the process of traditional customer requirements modeling, encompassing requirement elicitation, requirement analysis and requirement verification, has been formed into a standardization process from a system and software engineering point of view [2]. The requirement elicitation is to extract Biographical notesMA Xiaojie, born in 1986, is currently a PhD candidate at Institute of Advanced Design and Manufacturing,

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Section: Requirement Elicitationmentioning

confidence: 99%

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Ding

Qin

et al. 2017

Chin. J. Mech. Eng.

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“…Performance_Requirement: Performance requirements are necessary for the assurance and a detailed ontology of the requirements has been developed in reference [15]. Performance_Environment: Performance tasks and environment constraints must be specified.…”

Section: A Performance Assurance Activity Ontologymentioning

confidence: 99%

Building a rigorous foundation for performance assurance assessment techniques for “smart” manufacturing systems

Roy

Liu

Zhu

2014

2014 IEEE International Conference on Big Data (Big Data)

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The highly networked and real-time data analysis features of smart manufacturing systems (SMS) require different information infrastructure, data analytics technology, and performance assurance methodologies. The main purpose of this paper is to (i) explore the complete product-process performance assurance space to identify the key performance indicators that help evaluate and quantify system performance at different abstraction levels, (ii) discuss models and methodologies for data analytics, and (iii) suggest a digital factory-based simulation technique to evaluate those key indicators for performance prediction. The paper presents a systematic and rigorous approach towards establishing these performance assurance methodologies applicable to complex value chains of smart manufacturing systems by extensively exploring all possible product and process related performance issues. A hypercube information model is proposed for the purpose of formal representation of the highly dimensional and correlated information among different actors in a smart manufacturing system, thus providing a rigorous foundation for the performance assurance space. The relevant taxonomy and an ontology-based framework are then developed for formal representation of the entities, activities and knowledge involved in the performance assurance domain. It provides a detailed insight into the PA space and defines appropriate measures which can be applied to predict and improve system performance assurances.There remains an urgent need for developing general methodology and standardized metrics for the wider use of the metrics by different manufacturers in different manufacturing domains. There have been many attempts in building such methodologies. Feng and Joung [4] presented a comprehensive list of previous approaches. Attempts were also made in the area of the complex production system to

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“…With the development of knowledge engineering and semantic web technology, ontology-based methods [8,9] are also widely used in requirement modeling and analysis. Yaman et al [10] proposed an ontology framework to represent information and knowledge of engineering product requirements. Based on the framework, they also proposed an ontology model of product design requirement, which provided rich requirement semantic information for requirement storage and analysis.…”

Section: Introductionmentioning

confidence: 99%

A Novel Collaboration-Oriented Requirement Model Mapping and Classification Method Based on Domain Knowledge for Complex Mechatronic Products

Yue¹,

Wu²,

Li³

et al. 2021

Preprint

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Complex mechatronic products include inter-disciplinary, inter-field, and inter-departmental requirement information. Aiming at the low digitization rate of existing product requirement information, a structured and digital product requirement model (RM) is defined. Besides, a collaboration-oriented requirement model mapping and classification method for complex mechatronic products is proposed, which realizes the automatic generation of the domain requirement models and the mapping between the requirement models and knowledge graph, thus improving the digitization rate of the product in the requirement phase. A simulated military plane horizontal tail control system is used as a case study to prove the effectiveness and feasibility of this method. Based on Hoteam PLM8.0 platform, a management architecture and the display path of product requirement model are given, which can provide a reference for the research and development of product lifecycle model management (PLMM) system.

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Towards the Development of an Ontology-Based Product Requirement Model

Cited by 4 publications

References 17 publications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Building a rigorous foundation for performance assurance assessment techniques for “smart” manufacturing systems

A Novel Collaboration-Oriented Requirement Model Mapping and Classification Method Based on Domain Knowledge for Complex Mechatronic Products

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Towards the Development of an Ontology-Based Product Requirement Model

Cited by 4 publications

References 17 publications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Building a rigorous foundation for performance assurance assessment techniques for &#x201C;smart&#x201D; manufacturing systems

A Novel Collaboration-Oriented Requirement Model Mapping and Classification Method Based on Domain Knowledge for Complex Mechatronic Products

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Building a rigorous foundation for performance assurance assessment techniques for “smart” manufacturing systems