QFD-Based Product Design for Multisegment Markets: A Fuzzy Chance-Constrained Programming Approach

Fang, Xinghua; Shen, Yixuan; Zhou, Jian; Pantelous, Athanasios A.; Zhao, Mingxuan

doi:10.1109/tem.2020.3009163

Cited by 16 publications

(4 citation statements)

References 53 publications

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“…AGCAN neural network combines the adaptive filling matrix graph convolution attention neural network (AFMGCAN) and the aggregation coefficient adaptive graph convolution neural network (AACGCN). AGCAN neural network includes one hot coding of user and item scores, adding the aggregation coefficient of the adaptive filling matrix, attention mechanism, and adaptive graph convolution neural network, so as to iterate the feature vectors of users and items [ 16 ]; The collaborative filtering recommendation algorithm framework based on matrix decomposition completes the prediction of recommendation algorithm and model optimization. The inner product y ( U , I ) of the user and project eigenvector is used as the user's interactive bias value for the project, and the target user is recommended and predicted according to this value.…”

Section: Methodsmentioning

confidence: 99%

Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm

Wu¹,

Wang²,

Cai³

2022

Computational Intelligence and Neuroscience

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In order to solve the problems of low coverage and accuracy and large mean absolute error and root mean square error when traditional algorithms recommend market management data, this paper proposes an intelligent market management data mining method based on a collaborative recommendation algorithm. According to the preference value of the attribute characteristics of market management data, predict and score the attribute characteristics of market management data; use data mining technology to preprocess the information of market management data, combined with the design of collaborative filtering recommendation algorithm; and realize the collaborative filtering recommendation of market management data. With 50 recommendations, AGCAN improves the accuracy of MovieLens-1M by 43.81%, 5.43%, 1.87%, 0.42%, and 1.67%, respectively, compared with the five benchmark algorithms. For MovieLens-100K, compared with the five benchmark algorithms, AGCAN improves the accuracy by 51.17%, 10.52%, 3.37%, 0.1%, and 0.30%, respectively. Compared with the five benchmark algorithms, Amazon-baby and AGCAN have improved the accuracy by 34.37%, 28.12%, 31.25%, 29.1%, and 3.12%, respectively. The algorithm proposed in this paper uses a graph neural network to mine useful information between users and projects, but it lacks the use of other personalized interest information of users, such as user interest, user purchase time, and so on.

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Section: Methodsmentioning

confidence: 99%

Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm

Wu¹,

Wang²,

Cai³

2022

Computational Intelligence and Neuroscience

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“…Li and Zhang [42] combined the fuzzy analytic hierarchy process method and QFD to design intelligent medical delivery robots. Fang, et al [43] employed fuzzy chance-constrained programming in QFD to design products for multi-segment markets. Aydin, et al [44] proposed a linear programming-based QFD to identify sustainable policies in the apparel retailing industry.…”

Section: Literature Reviewmentioning

confidence: 99%

A Fuzzy Three-Dimensional House of Quality to Integrate and Coordinate Departments’ Activities in Organizations

Beheshtinia,

Sedady,

Fathi

et al. 2023

IEEE Access

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This study aims to introduce a method to integrate and coordinate departments' activities to enhance the service quality of organizations using Quality Function Deployment (QFD). To this purpose, the classical two-dimensional House Of Quality (HOQ) matrix is changed to a three-dimensional form (3D-HOQ). The 3D-HOQ is applied to the marketing and Human Resources (HR) departments of a bank to determine customers' and employees' demands, respectively. The 3D-HOQ is also employed to provide a unique list of technical requirements to satisfy the identified demands. Obtaining a unique list of technical requirements with the cooperation of both departments reduces the inconsistency between departments, saves cost and time by preventing reworks and parallel works, and increases the organization's efficiency. Moreover, 3D-HOQ is combined with the SERVQUAL technique and fuzzy theory to determine the weight of obtained technical requirements. The study is conducted in four main steps, (1) identifying the customers' and employees' demands, (2) identifying the technical requirements for simultaneous satisfaction of both customers' and employees' demands, (3) determining the relationships between the technical requirements and the identified demands, and (4) prioritizing technical requirements. Applying the 3D-HOQ resulted in identifying 30 customers' demands, 30 employees' demands, and 50 technical requirements. The study results show that "using new banking technologies" has the highest weight among the customers' demands, and "job security" has been found to have the highest weight among employees' demands. Moreover, "Intraorganizational processes automation" has been identified as the technical requirement with the highest weight.

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“…methodological tool designed to solve problems that aims to maintain customer demand throughout the design process, and promote communication between design participants [14]. Fang et al proposed a new product model based on QFD for integrating the diverse customer demand into product design, which can realize the idea of customer-oriented design [15]. Sousa-Zomer et al proposed an approach based on Quality Functional Development for translating the stakeholder' requirements into engineering metrics of the products and services [16].…”

mentioning

confidence: 99%

An integrated design method for remanufacturing process based on performance demand

Jiang

Zhu

et al. 2021

Int J Adv Manuf Technol

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Design for remanufacturing process (DFRP) plays a key role in implementing remanufacturing because it directly affects the performance recovery of the End-of-Life (EoL) product. Since the used parts have various failure forms and defects, these make it hard to rapidly generate the remanufacturing process scheme for satisfying the performance demand of the used product. Moreover, remanufacturing process parameters are prone to conflicts during the process of implementing remanufacturing, this leads to the failure of the remanufacturing process. For accurately generating remanufacturing scheme and solving the conflicts, an integrated design method for remanufacturing process based on performance demand is proposed, which can reuse the historical remanufacturing process data for generating the remanufacturing process scheme. Firstly, for accurately describing the performance demand, the Kansei Engineering (KE) and Quality Functional Development (QFD) are applied to analyze the performance demand data and map the demand to the engineering features. Then, Back Propagation Neural Network (BPNN) is applied to inversely generate the remanufacturing process scheme rapidly for satisfying the performance demand by reusing the historical remanufacturing process data. Meanwhile, Theory of Constraint (TOC) and TRIZ are used to identify the conflicts of the remanufacturing process and resolve the conflicts for optimizing the remanufacturing process scheme. Finally, DFRP of the saddle guideway is taken as an example to demonstrate the effectiveness of the proposed method, the result shows the design method can quickly and efficiently generate the remanufacturing process for the EoL guide rail.

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QFD-Based Product Design for Multisegment Markets: A Fuzzy Chance-Constrained Programming Approach

Cited by 16 publications

References 53 publications

Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm

Data Mining Method of Intelligent Market Management Based on Collaborative Recommendation Algorithm

A Fuzzy Three-Dimensional House of Quality to Integrate and Coordinate Departments’ Activities in Organizations

An integrated design method for remanufacturing process based on performance demand

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