Quality Function Deployment (QFD) is a popular planning method often used to transform customer demands/requirements into the technical characteristics of a new or improved product or service. In order to better capture (and represent) the multifarious relationships between customer requirements and technical characteristics, and the relative weights among customer requirements, in this study a...

In both the quality improvement and the design of a product, the engineering characteristics affecting product performance are primarily identified and improved to optimize customer needs (CNs). Especially, the limited resources and increased market competition and product complexity require a customer-driven quality management and product development system achieving higher customer satisfacti...

Utilizing QFD in the process of manufacturing and service performing is confronted with an optimization problem called QFD decision-making problem (QFDDMP). Facing many customer constraints and requirements, and huge number of customers in the target market have made QFDDMP a complex planning problem. Achieving optimal solution by which the products satisfy customers with lowest costing budget ...

A sound decisionmethodology for evaluating and selecting e-learning products should considermultiple and conflicting criteria and the interactions among them. In this paper, a decision framework which employs quality function deployment (QFD), fuzzy linear regression and optimization is presented for elearning product selection. First, a methodology for determining the target values for e-learn...

Today Quality Function Deployment (QFD) is a powerful development method whit a wide range of applications to translate customers’ needs into technical requirements for achieving customer satisfaction. The current study demonstrated a QFD analysis to improve school furniture design in Tehran as the baseline of Iran. Accordingly, we extended the widely used QFD method into a complex set of custo...

The key to improve the competitive ability of manufacturing companies is how to develop high quality product for their customers. So, the selection of product quality and technical parameters is very important for meeting with the customer requirements (CRs). However, the selection process is a complex and difficult task. The aim of this study is to propose a comprehensive decision model to hel...

The aim of this work is to propose a new methodological approach to define customer specifications through the employment of an integrated Quality Function Deployment (QFD) – Analytic Hierarchy Process (AHP) model. The model, which is loosely based on QFD, incorporates the AHP approach to delineate and rank the relative importance weight of expressed judgments for customer needs and functional ...

Supplier selection is considered as one of the most critical issues encountered by operations and purchasing managers to sharpen the company’s competitive advantage. In this paper, a novel fuzzy multi-criteria group decision making approach integrating quality function deployment (QFD) and decision making trial and evaluation laboratory (DEMATEL) method is proposed for supplier selection. The p...

In today’s competitive business environment, it is extremely important to offer customers exactly the products they want. Software product lines have the potential to enable companies to offer a larger variety of products while still being able to manage the complexity caused by this increased number of products. But offering a large number of variants does not necessarily mean increased profit...

Customers often have various requirements and preferences on a product. A product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. In this paper, a methodology which mainly involves a market survey, fuzzy clustering, quality function deployment (QFD) and fuzzy optimization, is proposed to achieve the optimal targe...