Customer requirement acquisition system and requirement expression guidance based on ant colony optimization

Yang, Qin; Jiao, Haisen; Song, Fei; Pan, Gaofeng; Wei, Daozhu

doi:10.1177/1687814017704412

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…For example, genetic algorithm has been utilized for customer requirement specification [39]. Ant colony optimization is able to capture and select requirements [40] [41]. And Artificial immune system (AIS) is capable of organizing requirements while the market environment changing [42].…”

Section: Reasoning Methods Of Requirement Elicitation Prioritization and Specificationmentioning

confidence: 99%

A Survey of Requirements Management in Smart Product-Service Systems

Wang

Zheng

Chen

et al. 2019

Advances in Transdisciplinary Engineering

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Driven by the advances of information and communication technologies (ICT) as well as the increasing complexity of product and service bundles in business market, smart product-service system (Smart PSS) has become a key factor for industrial companies to meet demanding customer expectations of individual product and services. Requirement management, as the first step of Smart PSS development, significantly affects its final success. In Smart PSS, requirement management is endowed with new capabilities and opportunities due to the mature of the advances of techniques and smart devices. The manner of requirement management has transformed from a human-intensive manner to a data-driven manner. Facing this challenge, scarcely any paper discussed the foundations of managing requirements in the context of Smart PSS. In this paper, the prerequisites of managing requirements in Smart PSS are discussed, data properties, representation format and reasoning methods are analyzed based on a data-driven requirement management architecture. Two potential scenarios of requirement management are discussed as well. This work depicts the deserving manner of requirement management in Smart PSS, which points out key points of managing requirements from heterogeneous usage data in the new Smart PSS paradigm.

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Section: Reasoning Methods Of Requirement Elicitation Prioritization and Specificationmentioning

confidence: 99%

A Survey of Requirements Management in Smart Product-Service Systems

Wang

Zheng

Chen

et al. 2019

Advances in Transdisciplinary Engineering

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“…User requirements are ambiguous, dynamic, and incompletely expressed [25][26]. With the improvement of people's material living standards, the characteristics of user requirements are amplified, and the conceptual design solutions under the traditional design model will be increasingly unable to adapt to the challenges brought by the ambiguous and fast-changing dynamic requirements of users, which will lead to the product not meeting the real requirements of users.…”

Section: A New Model Of the User-centric Product Conceptual Designmentioning

confidence: 99%

Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design

Guo

Huang

Liu

et al. 2023

Journal of Computing and Information Science in Engineering

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Conceptual design is the design phase that deploys product functions and structures based on user requirements and ultimately generates conceptual design solutions. The increasing diversification of products has led to the promotion of customized design that involves deep user participation. As a result, there has been a growing focus on user-centric conceptual design. In this regard, the relationship among users, designers, and design solutions has been subtly changed, which has brought challenges to the traditional designer-oriented design model. To address the complex understanding and decision-making problem caused by deeper user participation, emerging new user-centric product conceptual design models need to be discussed. In the new design model, addressing the changing or growing requirements of users through the design of solutions and leveraging multidisciplinary knowledge to guide the conceptual design process are the critical areas of focus. To further describe this design model, this paper examines the user-centric interconnection among users, designers, design solutions, and multi-domain knowledge. In order to optimize design solutions, the solution resolution process and knowledge mapping based on design deviations are considered effective approaches. In addition, the paper also presents the types of design deviations and the multi-domain knowledge support techniques.

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“…Customer requirements can be obtained through a variety of ways, Q Yang et al 13 used customer requirements acquisition system to guide and express requirements. In view of the incomplete knowledge of product expertise, this article establishes a customer demand template to guide the customer to express, so as to obtain customer demand information for the product.…”

Section: Customer Requirements Expression and Mappingmentioning

confidence: 99%

Research on solving method of similar cases considering customer preference

Yang

Ruan

Bian

et al. 2019

Advances in Mechanical Engineering

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Customer requirement preference is an important part of customer satisfaction. In view of similar case retrieval technology for existing product level, in the process of solving similar cases, there is no consideration for customer requirement preference. This article proposes a similar case solution method considering customer requirement preference. First, we deal with the expression of customer requirements and transform them into operable parameter forms according to the mapping model. Second, the preference graph is used to analyze the customer's requirement preference, to determine the preference weight, and to weigh the final weight of the requirement node with the initial weight determined by the fuzzy analytic hierarchy process. Finally, the similarity degree solving model of requirement node and product case attribute parameters is established. By integrating the weights of the above-mentioned nodes, the similarity of the product case is obtained, and a more satisfied case of the customer is obtained. Taking the automated guided vehicle car product as an example, the effectiveness of the proposed method is verified.

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Customer requirement acquisition system and requirement expression guidance based on ant colony optimization

Cited by 7 publications

References 23 publications

A Survey of Requirements Management in Smart Product-Service Systems

A Survey of Requirements Management in Smart Product-Service Systems

Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design

Research on solving method of similar cases considering customer preference

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