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.

LAHP-Based Theory of Building e-Commerce Customer Satisfaction Degree Index System

2011 ◽  
Vol 109 ◽  
pp. 641-645 ◽  
Author(s):  
Chun Mei Jia ◽  
Ling Hong Yu
Keyword(s):  
Customer Satisfaction ◽  
Electronic Commerce ◽  
Index System ◽  
Online Shopping ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Satisfaction Degree ◽  
Customer Satisfaction Evaluation ◽  
Satisfaction Evaluation ◽  
Customer Satisfaction Degree

According to the development of electronic commerce, this paper analyzed the case of online shopping e-commerce customer satisfaction factors. Also based on AHP not only established a customer satisfaction evaluation index system, and rank the factors that influenced the indicators, and finally to propose a solution.

Performance Assessment of the Lead User Idea-Generation Process for New Product Development

2002 ◽  
Vol 48 (8) ◽  
pp. 1042-1059 ◽  
Author(s):  
Gary L. Lilien ◽  
Pamela D. Morrison ◽  
Kathleen Searls ◽  
Mary Sonnack ◽  
Eric von Hippel
Keyword(s):  
New Product Development ◽  
Idea Generation ◽  
New Product ◽  
Major Product ◽  
Product Line ◽  
Direct Result ◽  
Target Market ◽  
Generation Process ◽  
The Past ◽  
Lead User

Traditional idea generation techniques based on customer input usually collect information on new product needs from a random or typical set of customers. The “lead user process” takes a different approach. It collects information about both needs and solutions from users at the leading edges of the target market, as well as from users in other markets that face similar problems in a more extreme form. This paper reports on a natural experiment conducted within the 3M Company on the effect of the lead user (LU) idea-generation process relative to more traditional methods. 3M is known for its innovation capabilities— and we find that the LU process appears to improve upon those capabilities. Annual sales of LU product ideas generated by the average LU project at 3M are conservatively projected to be $146 million after five years—more than eight times higher than forecast sales for the average contemporaneously conducted “traditional” project. Each funded LU project is projected to create a new major product line for a 3M division. As a direct result, divisions funding LU project ideas are projecting their highest rate of major product line generation in the past 50 years.

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 A CBR-Based and MAHP-Based Customer Value Prediction Model for New Product Development

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Yu-Jie Zhao ◽  
Xin-xing Luo ◽  
Li Deng
Keyword(s):  
Product Development ◽  
Prediction Model ◽  
New Product Development ◽  
Customer Value ◽  
Transition Probability ◽  
New Product ◽  
Case Based Reasoning ◽  
Analytic Hierarchy ◽  
Value Prediction ◽  
Customer Needs

In the fierce market environment, the enterprise which wants to meet customer needs and boost its market profit and share must focus on the new product development. To overcome the limitations of previous research, Chan et al. proposed a dynamic decision support system to predict the customer lifetime value (CLV) for new product development. However, to better meet the customer needs, there are still some deficiencies in their model, so this study proposes a CBR-based and MAHP-based customer value prediction model for a new product (C&M-CVPM). CBR (case based reasoning) can reduce experts’ workload and evaluation time, while MAHP (multiplicative analytic hierarchy process) can use actual but average influencing factor’s effectiveness in stimulation, and at same time C&M-CVPM uses dynamic customers’ transition probability which is more close to reality. This study not only introduces the realization of CBR and MAHP, but also elaborates C&M-CVPM’s three main modules. The application of the proposed model is illustrated and confirmed to be sensible and convincing through a stimulation experiment.

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