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 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 A QFD-Based Mathematical Model for New Product Development Considering the Target Market Segment

2014 ◽  
Vol 2014 ◽  
pp. 1-10
Author(s):  
Liang-Hsuan Chen ◽  
Cheng-Nien Chen
Keyword(s):  
Customer Satisfaction ◽  
New Product Development ◽  
New Product ◽  
Design Stage ◽  
Target Market ◽  
Market Segment ◽  
Customer Needs ◽  
Satisfaction Degree ◽  
Technical Requirements ◽  
Customer Satisfaction Degree

Responding to customer needs is important for business success. Quality function deployment provides systematic procedures for converting customer needs into technical requirements to ensure maximum customer satisfaction. The existing literature mainly focuses on the achievement of maximum customer satisfaction under a budgetary limit via mathematical models. The market goal of the new product for the target market segment is usually ignored. In this study, the proposed approach thus considers the target customer satisfaction degree for the target market segment in the model by formulating the overall customer satisfaction as a function of the quality level. In addition, the proposed approach emphasizes the cost-effectiveness concept in the design stage via the achievement of the target customer satisfaction degree using the minimal total cost. A numerical example is used to demonstrate the applicability of the proposed approach and its characteristics are discussed.

scholarly journals Analysis of Brand Awareness, Customer Satisfaction and Perceived Quality on the Brand Loyalty in the Bottled Water Consumer (AMDK) SINARMAS PRISTINE Brand

2020 ◽  
Vol 5 (6) ◽  
pp. 1009-1015
Author(s):  
Christiana Fransiska Sembiring ◽  
Fachry Rendy Pradika ◽  
Irham Abdul Azis ◽  
Nurhadi .
Keyword(s):  
Customer Satisfaction ◽  
Brand Loyalty ◽  
Quantitative Methods ◽  
New Product ◽  
Perceived Quality ◽  
Bottled Water ◽  
Brand Awareness ◽  
Target Market ◽  
Sampling Techniques ◽  
Descriptive Research

Pristine is a new product that puts the target market from premium to premium consumer mess smaller than regular AMDK products. Pristine pH 8 + that can neutralize acid effluent bodies. This research focuses on analyzing brand awareness, customer Satisfaction and perceived quality against the brand loyalty of bottled water consumers in the package (AMDK) SINARMAS Pristine brand. The type of research used in this study is descriptive research using quantitative methods. The population in this research is the community in Jakarta and its surroundings with samples taken as many as 66 respondents. The collection of data on this research uses questionnaires distributed to respondents using incidental sampling techniques. The results of this study showed that Simultaneous analysis results showed that the variables of brand awareness, customer satisfaction, and perceived quality have a significant effect on the brand loyalty consumer AMDK brand Pristine

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