Managing requirements as the core of multi-disciplinary product development

Stechert, Carsten; Franke, Hans‐Joachim

doi:10.1016/j.cirpj.2008.09.008

Cited by 17 publications

(8 citation statements)

References 2 publications

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“…In theory, each model is a closed loop and do follow a sequential flow of information while performing its activities. In a practical manner, though, most of the information do not follow a linear path and there is constant change in information in previous phases due to new findings in later activities [26] [27] [29][30]. This end up causing inconsistencies that may increase the cost and time of development, as well as reworks and other negative impacts [30].…”

Section: Cross-ipdp Phases' Issuesmentioning

confidence: 99%

See 1 more Smart Citation

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

Leite¹,

Szejka²,

Canciglieri³

et al. 2018

Product Lifecycle Management to Support Industry 4.0

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Through past decade, the complexity of integrated product development process has been significantly increased, due to highly elaborated customer's needs, market requirements and their multi-disciplinary nature. In this context, the meaning and formal structure of such information must be well managed since initial stages of product development, in order to avoid semantic heterogeneity and subsequent mistakes in interpretation. The aim of this paper is to understand the current issues related to this scenario, through the study of later works and research regarding Semantic Interoperability through ontologies in multiple domains, applicable in the field of Product Development and Manufacturing. Search material points out that a significant issue regards the input of information, since most of current models merely translate information from different sources, instead of understanding its nature and stablish a common standard to extract and structure it. Research has suggested that Knowledge Extraction models may be a viable path to filter and refine the quality of the input information, as means to improve the accuracy and effectiveness of new knowledge. This research structured its findings in a model that explores the issues of semantic interoperability through reference ontologies, to bring light to new research themes, validated through further research.

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Section: Cross-ipdp Phases' Issuesmentioning

confidence: 99%

“…The communication, a basis for every integrated model, relies heavily on the semantic interpretation of each agent [26]. Across different phases, the different set of information may cause misinterpretation due to variable meanings for a term, e.g.…”

Section: Cross-ipdp Phases' Issuesmentioning

confidence: 99%

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

Leite¹,

Szejka²,

Canciglieri³

et al. 2018

Product Lifecycle Management to Support Industry 4.0

View full text Add to dashboard Cite

show abstract

“…The study in [5] researched on industrial robot examples to describe strategies for clarifying the product definition early in the development phase by deploying the right mix of key tools for management of the product development process. The research in [6] applied the managing requirements to the design process of parallel robots to provide the desired fast time-to-market as well as high quality and optimal products to the CRs. At present, the theoretical research of customer requirements modeling mainly focused on the phases of requirement elicitation and analysis [1].…”

Section: Literature Review：mentioning

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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“…The diversity in a multi-disciplinary team can merely be exploited with proper communication (Anderson, McEwan et al, 2007). Team members have to gain a shared understanding of the problem through exchanging information to overcome the differences in knowledge among disciplines (Stechert & Franke, 2009). In order to do this successfully, it is important that team members obtain confidence in each other.…”

Section: Collaboration and Communicationmentioning

confidence: 99%

“…Managing these requirements is one of the main challenges in multi-disciplinary product development (Stechert & Franke, 2009). The developer of a SE has to find harmony between the configuration of the setting (technology) and configuration of the functions (functional specifications).…”

Section: Requirement Specificationsmentioning

confidence: 99%

Enhancing the effectiveness of design tools in synthetic environments

Damgrave¹

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Managing requirements as the core of multi-disciplinary product development

Cited by 17 publications

References 2 publications

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

A Discussion on Current Issues for Semantic Interoperability in an Integrated Product Development Process

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Enhancing the effectiveness of design tools in synthetic environments

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