scholarly journals Developing a Quick Response Product Configuration System under Industry 4.0 Based on Customer Requirement Modelling and Optimization Method

2019 ◽  
Vol 9 (23) ◽  
pp. 5004 ◽  
Author(s):  
Lee ◽  
Chen ◽  
Lin ◽  
Li ◽  
Zhao
Keyword(s):  
Customer Satisfaction ◽  
Industry 4.0 ◽  
Quality Function Deployment ◽  
Programming Model ◽  
Optimization Method ◽  
Product Configuration ◽  
Quick Response ◽  
Kano Model ◽  
Configuration System ◽  
Technical Specifications

In the Industry 4.0 environment, the new manufacturing transformation of mass customization for high-complexity and low-volume production is moving forward. Based on cyber-physical system (CPS) and Internet of things (IoT) technology, the flexible transformation of the manufacturing process to suit diverse customer manufacturing requirements is very possible, with the potential to provide digital “make-to-order” (MTO) services with a quick response time. To achieve this potential, a product configuration system, which translates the voice of customers to technical specifications, is needed. The purpose of this study is to propose a methodology for developing a quick-response product configuration system to enhance the communication between the customer and the manufacturer. The aim is to find an approach to receive requests from customers as inputs and generate a product configuration as outputs that maximizes customer satisfaction. In this approach, engineering characteristics (ECs) are defined, and selection pools are initially constructed. Then, quality function deployment (QFD) is modified and integrated with the Kano model to qualitatively and quantitatively analyze the relationship between customer requirements (CRs) and customer satisfaction (CS). Next, a mathematical programming model is applied to maximize the overall customer satisfaction level and recommend an optimal product configuration. Finally, sensitivity analysis is conducted to suggest revisions for customers and determine the final customized product specification. A case study and an OrderAssistant system are implemented to demonstrate the procedure and effectiveness of the proposed quick response product configuration system.

scholarly journals Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhihui Yang ◽  
Yizeng Chen
Keyword(s):  
Customer Satisfaction ◽  
Product Design ◽  
Quality Function Deployment ◽  
Programming Model ◽  
Fuzzy Optimization ◽  
New Product ◽  
Optimal Level ◽  
Fuzzy Linear Programming ◽  
Target Market ◽  
Functional Relationships

Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market.

scholarly journals Product Module Attribute Parameter Configuration Model considering Customer Requirements Preferences

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yang Qin ◽  
Ye Zhaofa ◽  
Li Xuzheng ◽  
Zhang Zufang ◽  
Chang Weijie ◽  
...  
Keyword(s):  
Quality Function Deployment ◽  
Programming Model ◽  
Weight Vector ◽  
Product Configuration ◽  
Configuration Model ◽  
Preference Weight ◽  
Customer Requirements ◽  
Parameter Configuration ◽  
Preference Graph ◽  
Configuration Scheme

In the process of modular product configuration, it is necessary to transform customer requirements into product module attributes (PMA) parameters. However, previous research lacks consideration about customer requirement preference in the process of this transformation. First, we use a preference graph (PG) to obtain the customer preference weight vector for the requirement node. Second, on the basis of traditional Quality Function Deployment (QFD), the method of fuzzy correlation evaluation is introduced to get the correlation value between module attributes, and the combination programming model of PMA is further obtained by synthesizing the preference weight vector. Finally, the final configuration scheme is obtained by solving the model with the genetic algorithm. 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 and practicability of the proposed method are verified.

scholarly journals Enhancing the Quality of a Higher Education Course: Quality Function Deployment and Kano Model Integration

2021 ◽  
Vol 10 (3) ◽  
pp. 312-327
Author(s):  
Mine Ömürgönülşen ◽  
Canan Eryiğit ◽  
Öznur Özkan Tektaş ◽  
Mehmet Soysal
Keyword(s):  
Higher Education ◽  
Quality Function Deployment ◽  
Total Quality ◽  
Kano Model ◽  
Course Quality ◽  
Quality Function ◽  
Technical Requirements ◽  
Important Relationship ◽  
Technical Specifications

There is an important relationship between the quality of undergraduate education and competitiveness in the global economy, especially for emerging economies. Quality Function Deployment (QFD) is one of the important methodologies in Total Quality Management (TQM) to translate customer requirements into technical specifications. The purpose of this study is to apply Third Generation Western QFD methodology together with Kano model to categorize and prioritize the needs of customers to increase a graduate-level course quality in higher education. To this end, the Voice of the Customer was identified through the Kano technique that enables categorization and prioritization of student requirements. To the best of our knowledge, this is the first empirical study in the literature that integrates the aforementioned methodologies in the field of higher education. With this integration, a focused quality house was generated which includes only prominent student and technical requirements. Accordingly, the prominent student requirements, which are classified as one-dimensional needs, are found to be the ones that are mostly lecturer-oriented attributes, such as the lecturer's theoretical and industrial knowledge. The interaction of the course with the industry, such as technical trips and invited speakers, which are called as attractive needs, are found to increase student satisfaction by creating delight. The prominent technical requirements are found to be budget/funds, number of students enrolled, lecturer workload, industry trip, good communication/empathy, lecturer qualifications, and competency in teaching. The combined framework may help educational decision-makers to identify and satisfy the main student requirements to enhance the quality of educational service processes.

STUDI ATAS PELAYANAN CLIENT COORDINATOR PADA KANTOR PELAYANAN UTAMA BEA DAN CUKAI TIPE A TANJUNG PRIOK DENGAN MENGGUNAKAN SERVQUAL, MODEL KANO DAN QUALITY FUNCTION DEPLOYMENT

INFO ARTHA ◽  
2017 ◽  
Vol 5 ◽  
pp. 35-54
Author(s):  
Guruh Supenget ◽  
Nur Aisyah Kustiani
Keyword(s):  
Quality Of Service ◽  
Customer Satisfaction ◽  
Quality Function Deployment ◽  
Public Services ◽  
House Of Quality ◽  
Kano Model ◽  
Quality Function ◽  
Customer Expectations

This study aims to determine the quality, the importance of service attributes and the appropriate effort to improve the quality of public services provided by the Client Coordinator at the Direktorat Jenderal Bea dan Cukai. This study uses SERVQUAL questionnaire, Kano Model and Quality Function Deployment. SERVQUAL questionnaire is used to assess customer satisfaction (quality of service) by comparing customer expectations and the actual quality of service received by the customer. KANO model is used to determine which service attributes are important based on the perception of the customer. Moreover, the important service attributes identified by customer is analyzed in the house of quality (Quality Function Deployment method) to determine appropriate effort by government. A blend of these methods can be replicated in other efforts to improve public services so that the improvement will match with the needs of customers (community). 

Research on the module configuration of complex products considering the evolution of the product family

2020 ◽  
Vol 39 (3) ◽  
pp. 4577-4595
Author(s):  
Zhenhua Liu ◽  
Mengting Zhang ◽  
Yupeng Li ◽  
Xuening Chu
Keyword(s):  
Customer Satisfaction ◽  
Programming Model ◽  
New Technology ◽  
Pareto Frontier ◽  
Product Family ◽  
Product Configuration ◽  
Future Market ◽  
Complex Products ◽  
Configuration Scheme

The evolution of the product family is the essential driving force for the development of a complex product. Only customer satisfaction is emphasized in the traditional module configuration methods, which is not beneficial for product family evolution that is due to non-customer factors such as the emergence of new technology. In this study, the intuitionistic fuzzy number is employed to quantify the degree of correlation between each module and configuration targets, namely customer satisfaction and the degree of evolution of the product family, respectively. The bi-objective integer programming model is constructed by maximizing the degree of customer satisfaction and product family evolution. An improved Pareto ant colony optimization (P-ACO) is designed to solve this model and subsequently the Pareto frontier is obtained. The radar chart is adopted to represent the performance of each configuration scheme in the Pareto frontier. The feasibility and effectiveness of the proposed method are expounded by a case study and result comparison, showing that this method can provide a more competitive product configuration scheme to customers in the future market.

scholarly journals Quality Function Deployment Implementation Based on Kano Model An Application on Mobile Vendor Product Development

2011 ◽  
Vol 9 (1) ◽  
pp. 73-77
Author(s):  
Rusdiyantoro Rusdiyantoro ◽  
Yunia Dwie Nurcahyanie
Keyword(s):  
Customer Satisfaction ◽  
Product Development ◽  
Quality Function Deployment ◽  
Effective Communication ◽  
Customer Requirements ◽  
Kano Model ◽  
Quality Function ◽  
Customer Needs ◽  
Business System ◽  
Access Information

The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers’ needs, a strategic business system allows more effective communication among different  groups at dispersed locations to share ideas and access information needed for developing new productsand executing innovative processes. The mainfunction of mobile vendor product development is to develop an attractive system which ensures customer satisfaction. Therefore, one of the important topics of the system developments is to take customer requirements into consideration.Quality function deployment (QFD) has beenwidely used for numerous years; it is one ofthe structured methodologies that are usedto translate customer needs into specific qualitydevelopment. However, in the traditional QFD approach, each element’s interdependence and customer requirements are usually not systematically treated. Additionally, the Kanomodel can effectively classify customer demandattributes, but to make Kano model moreobjective in the course of weighing.

scholarly journals A Decision Method to Maximize Service Quality under Budget Constraints: The Kano Study of a Chinese Machinery Manufacturer

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Qingliang Meng ◽  
Xiaochao Wei ◽  
Wen Meng
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Value Chain ◽  
Programming Model ◽  
Budget Constraints ◽  
Kano Model ◽  
Construction Machinery ◽  
Machinery Industry ◽  
Decision Method ◽  
Nonlinear Programming Model

Manufacturers are increasingly facing keen competition and improving customers’ position in the value chain. Many of them have made efforts to promote service quality and enhance customer satisfaction. Research is lacking in considering the trade-off between service costs and customer satisfaction when tackling service quality issues in the machinery industry. A decision method is proposed for maximizing service quality in machinery industry under budget constraints, from the perspective of enterprise capacity and customer satisfaction. Due to the strength of the Kano model in acknowledging the nonlinear impacts of quality elements on customer satisfaction, we formalize the relationship between customer satisfaction and sufficiency of service quality elements quantitatively. And then we develop a novel nonlinear programming model to maximize service quality under budget constraints. In particular, we implement our model at Xuzhou Construction Machinery Group Co., Ltd., one of the largest Chinese construction machinery companies, to validate the efficacy of the method.

scholarly journals Optimized Configuration of Manufacturing Resources for Middle and Lower Batch Customization Enterprises in Cloud Manufacturing Environment

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Yinyun Yu ◽  
Wei Xu
Keyword(s):  
Customer Satisfaction ◽  
Manufacturing Systems ◽  
Programming Model ◽  
Model Simulation ◽  
Cloud Manufacturing ◽  
Economic Benefits ◽  
Optimal Configuration ◽  
Manufacturing Environment ◽  
Kano Model ◽  
Manufacturing Resources

The optimal configuration of manufacturing resources in the cloud manufacturing environment has always been the focus of research on various advanced manufacturing systems. Aiming at the problem of manufacturing resources optimization configuration for middle and lower batch customization enterprises in cloud manufacturing environment, this paper gives a bi-level programming model for manufacturing resources optimization configuration in cloud manufacturing environment which fully considers customer satisfaction and enterprise customization economic benefits. The method firstly identifies the relationship between customer demands and customer satisfaction through questionnaires and quantifies the Kano model effectively. Then, it uses Quality Function Deployment (QFD) to transform customer demand characteristics into engineering characteristics and integrates the qualitative and quantitative results of the Kano model. Next, the method establishes enterprise economic benefits function according to the factors of order quantity and input cost. Furthermore, a comprehensive nonlinear bi-level programming model is established based on cost, time, and quality constraints. The model is solved by intelligent algorithm. Finally, the validity and feasibility of the model are verified by model simulation of actual orders of an enterprise. This method effectively realizes the optimal configuration of manufacturing resources in the cloud manufacturing environment, while maximizing the interests of both suppliers and demanders.

A FUZZY MULTI-OBJECTIVE MODEL OF QFD PRODUCT PLANNING INTEGRATING KANO MODEL

2008 ◽  
Vol 16 (06) ◽  
pp. 793-813 ◽  
Author(s):  
LI-FENG MU ◽  
JIA-FU TANG ◽  
YI-ZENG CHEN ◽  
CHUN-KIT KWONG
Keyword(s):  
Customer Satisfaction ◽  
Product Development ◽  
New Product Development ◽  
Quality Function Deployment ◽  
Integrative Approach ◽  
Kano Model ◽  
Solution Approach ◽  
Multi Objective ◽  
Proposed Model ◽  
Objective Model

Quality function deployment (QFD) is a well-known customer driven system and tool for planning and managing new product development. House of quality (HOQ) is used to translate customer requirements (CRs) into each stage of a product development in QFD. In the conventional QFD model, constant coefficients are employed to present the relationships between “What matrix” and “How matrix” and among “How matrixes". In order to break the hindrance of the representation of simple linear function in the structure of HOQ, an integrative approach considering Kano model into QFD planning are employed, and processes are performed in uncertain and vague environments. Therefore, a fuzzy multi-objective model (FMOQFD-Kano) is proposed to reconcile the tradeoff between customer satisfaction and cost. Not only customer satisfaction is taken into account, but also cost is considered in the proposed model. Moreover, a fuzzy solution approach is applied to solve the model for preferred solutions under different alpha-levels, which can give decision-maker more choices to cater for uncertain environment. An example is presented to illustrate the applicability of the proposed model.

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