Evaluating QFD's Use in US Firms as a Process for Developing Products

Quality Function Deployment (QFD) is a process that originated in Japan for managing product development. In this article, Abbie Griffin presents results of a field-based, scientific study of US firms' efforts to implement QFD methods. Her research goals were to understand the QFD process as it is used and implemented, to begin to estimate US product development improvements attributable to QFD and to identify factors linked to QFD's successful use. Based on a study of 35 projects, she found that QFD demonstrated only relatively minor, short-term, measurable impacts on product development performance. Yet, the process may have the potential to improve the development climate in the long term, possibly leading to future, measurable improvements in development performance. Successful projects differed in several ways from those projects that failed in their implementation efforts. Finally, the results suggest several characteristics of product development processes that improve the way products are developed in US companies, including structuring the decision-making processes across functional groups, building a solidly organized, highly motivated team and moving information efficiently from its origin to the ultimate user.     

A comparison of quality function deployment and conjoint analysis in new product design

In this work, we compare two product design approaches, quality function deployment (QFD) and conjoint analysis, by applying each to the design of a new all-purpose climbing harness for the beginning/intermediate ability climber that would complement a leading manufacturer's existing product line. While many of the optimal design features were the same under both approaches, the differences allow us to highlight the strengths of each approach. With conjoint analysis, it was easier to compare the most preferred features (i.e., ones that maximized sales) to profit maximizing features and also to develop designs that optimize product line sales or profits. On the other hand, QFD was able to highlight the fact that certain engineering characteristics or design features had both positive and negative aspects. This tradeoff could point the way to "out of the box" solutions. QFD also highlighted the importance of starting explicitly with customer needs, regardless of which method is used.
Rather than competing, we view them as complementary approaches that should be conducted simultaneously; each providing feedback to the other. When the two approaches differed on the optimal level or importance of a feature, it appeared that conjoint analysis better captured customers' current preferences for product features while QFD captured what product developers thought would best satisfy customer needs. Looking at the problem through these different lenses provides a useful dialogue that should not be missed. QFD's ability to generate creative or novel solutions should be combined with conjoint analysis' ability to forecast market reaction to design changes. © 2002 Elsevier Science Inc. All rights reserved.     

Ranking the strategic actions of Iran mobile cellular telecommunication using two models of fuzzy QFD

Mobile cellular telecommunication success in target markets first requires ranking the customer’s expectations and then prioritizing the engineering characteristics (ECs) to meet the expectations. In this paper, two prioritization models based on quality function deployment (QFD) are developed to rank the strategic actions (SAs), or the ECs of Iran mobile cellular telecommunication. QFD is a widely used customer-driven tool for which the success of its applications may be the result of some of its benefits, such as greater customer focus. It uses a matrix called House of Quality (HOQ) to translate Customer Attributes (CAs) into ECs. However, due to the high degree of subjectivity in constructing the HOQ, the application of fuzzy logic provides an efficient tool to handle the subjective assessments. On the other hand, taking into consideration the gap between the current state and the positive ideal state for each CA, TOPSIS is used to rank CAs in a first model. In addition, in a second model, using the analytic hierarchy process (AHP), more criteria are taken into consideration in ranking CAs. Also, a fuzzy utility factor, B_j, is used to rank SAs in both models. Both presented models have the ability to capture the vagueness of human thinking style, and let customer oriented organizations, such as MCI, derive benefits from the voice of the customer (VOC) in a more expressive way.     

QFD—linking the customer to the product development process as a part of the TQM concept

LKAB is one of the world's leading sup-pliers of advanced iron ore products. Its most important markets are the blast furnace based steelworks of Europe. As a result of customers' demands for ever-better products, LKAB has begun to apply Quality Function Deployment (QFD) to its product development pro-grammes. QFD, originally developed in Japan, is a technique which utilises a series of matrices to translate customers' requirements into technical specifications that the producer can use. So far the methodology has mainly been used in the manufacturing industry, with very few applications in process industry.
When launching its QFD project, LKAB began by making strenuous efforts to acquire credible and relevant customer data. Experience after one year's work has been encouraging; the QFD technique has proved to be an effective instrument for feeding customers' requirements into the product development process. In addition, it serves as a guide to setting priorities for research projects. The technique promises to become an established tool in the cornpany's Total Quality Management programme.     

Customer-Driven Product Development Through Quality Function Deployment in the U.S. and Japan

Quality Function Deployment is a tool for bringing the voice of the customer into the product development process from conceptual design through to manufacturing. It begins with a matrix that links customer desires to product engineering requirements, along with competitive benchmarking information, and further matrices can be used to ultimately link this to design of the manufacturing system. Unlike other methods originally developed in the U.S. and transferred to Japan, the QFD methodology was born out of Total Quality Control (TQC) activities in Japan during the 1960s and has been transferred to companies in the U.S. This article reports on the results of a 1995 survey of more than 400 companies in the U.S. and Japan using QFD. The research questions investigated in this study were developed both inductively from QFD case studies in the U.S. and Japan and deductively from the literature. The reported results are in part counterintuitive. The U.S. companies reported a higher degree of usage, management support, cross‐functional involvement, use of QFD driven data sources, and perceived benefits from using QFD. For the most part, the main uses of QFD in the U.S. were restricted to the first matrix (“House of Quality”) that links customer requirements to product engineering requirements and rarely was this carried forward to later matrices. U.S. companies were more apt to use newly collected customer data sources (e.g., focus groups) and methods for analyzing customer requirements. Japanese companies reported using existing product data (e.g., warranty) and a broader set of matrices to a greater extent. The use of analytical techniques in conjunction with QFD (e.g., simulation, design of experiments, regression, mathematical target setting, and analytic hierarchy process) was not wide spread in either country. U.S. companies were more likely to report benefits of QFD in improving cross‐functional integration and better decision‐making processes compared to Japanese companies. Possible reasons for these cross‐national differences as well as their implications are discussed.     

供应链可靠度管理中的模糊QFD应用

在供应链管理（SCM）中，人们更关注于寻找一种系统的方法，能够在计划阶段对可靠度进行评估。提出了一种模糊QFD模型，使其能够在供应链管理的过程中，传达用户需求与设计参数间的模糊关系；同时提出一套模糊的决策程序：模糊多准则决策．用来寻找一组CRT设计中可靠度需求性能的最优解。主要目的是找出合适的可靠性测试等级，以便使每一条供应链中模糊需求与产品生产参数之间的关系更加合理，以满足用户的需求。     

Product competence exploitation and exploration strategies: The impact on new product performance through quality and innovativeness

The ability to manage existing assets and capabilities (exploitation) and the development of new capabilities (exploration) are arguably among the most relevant new product success factors. However, while exploitation-related capabilities are based on certainties regarding the efficiency of a company, exploration-related capabilities require the analysis of new technologies and processes. In existing literature, there is a gap concerning the trade-off between the exploitation and exploration of competences. Based on the theoretical background of Resource Based Theory, Dynamic Capabilities Theory and Discovery and Creation Theory, a model is proposed to analyze this gap. In this study, which examines 197 manufacturing organizations, we build on the dualities of the two types of competences and their impact on speed-to-market and market performance. The findings indicate that the choice between exploitation and exploration depends on the goals of new product development. While exploitation increases product objective quality, exploration enhances product innovativeness to the firm. Furthermore, we found that both exploitation and exploration constitute important success factors when it comes to launching new products. Finally, moderate effects of competitive intensity and market turbulence are also examined. High levels of market turbulence improve the results of exploitation, while low levels of competitiveness may encourage exploration.     

Product price and performance level in one market or two separated markets under various cost structures and functions

Market characteristics, including intrinsic demand and customer sensitivity on price and product performance level, are distinct at different markets. Comparisons of various product development strategies in one market or two geographically separated markets are conducted for three classes of products: development intensive products (DIPs) with constant unit cost, marginal cost-intensive products (MIPs) with constant fixed cost, and marginal and development intensive products (MDIPs) with non-constant unit cost and fixed cost. Results show that larger demand size, less customer sensitivity on price and/or more sensitivity on performance level lead to more profit, a higher sale price and a not-lower product performance. The customer reservation or the saturation performance level should be generally adopted though the optimal performance level does exist occasionally. Unit cost and/or fixed cost must increase in performance at an increasing rate for the existence of one optimal performance level. Due to the impact of demand size, one high-end (low-end) MDIP or DIP could be introduced into one low-end (high-end) market at a different price if the demand size is significantly large in the low-end market. For DIPs, offering one niche high-end product is not worse than offering the low-end product into two markets. For MIPs with negligible fixed cost, the product line strategy is not worse than the standard product development strategy. Additionally, the product cost reduction approach adopted in one product line has significant effects on the best product development strategy and sequence.     

Optimal pricing and order policies with B2B product returns for fashion products

We study optimal pricing and order policies in supply chain management of fashion products (e.g., a fashion apparel category) with consideration of product returns between supply chain partners (B2B). In order to study channel performance and optimal policies, two stochastic models for centralized channel and decentralized channel are, respectively, developed to handle new fashion and off-season product sales. In the centralized channel, closed-form solutions for optimal order and pricing decisions are proposed for new fashion products. Further, in a decentralized channel, the Stackelberg game model is proposed to derive the optimal Stackelberg equilibrium solution, and then a buy-back contract is designed to coordinate the channel. We also perform parameter analysis on performance of the two channel models. Numerical analysis is finally presented to validate our theoretical results and compare channel performances.     

Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design

The aesthetic qualities of products are critical factors in achieving higher customer satisfaction. This study presents a robust design approach incorporating the Kano model to obtain the optimal combination of design form elements. This can effectively enhance customer satisfaction and aesthetic product qualities with multiple-criteria characteristics. The Kano model is used to better understand the relationship between performance criteria and customer satisfaction, and to resolve trade-off dilemma in multiple-criteria optimization by identifying the key criteria in customer satisfaction. The robust design approach combines grey relational analysis with the Taguchi method to optimize subjective quality with multiple-criteria characteristics. This simultaneously yields the optimal aesthetic performance and reduces the variations in customer evaluations. Based on Kano model analysis, a weight adjustment process determines the weight of each product criterion for achieving the desired customer satisfaction performance. This process guides the prioritizing of multiple criteria, leading to higher customer satisfaction. A mobile phone design experiment was conducted to verify the benefits of using the proposed integrative approach. Results show that the generated optimal mobile phone design can effectively enhance overall aesthetic performance and customer satisfaction. Although mobile phone designs are the examples of this study, the proposed method may be further used as a universal robust design approach for enhancing customer satisfaction and product quality with multiple-criteria characteristics.