• The International Journal of Costume Culture
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• v.2 no.2
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• pp.14-30
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• 1999

Quality Function Deployment (QFD) is a product development tool used to ensure that the voice of the customer is heard and translated into products. This paper shows the applicability and usefulness of this product development tool in the apparel industry by developing an apparel example and taking it through the four matrices that encompass a QFD process.

• Journal of Korean Institute of Industrial Engineers
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• v.34 no.1
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• pp.108-121
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• 2008

Dispatching rule for parallel machines with multi product is proposed in this paper, In current market,customer's request for higher quality is increasing, In accordance with such demand, manufacturers are focusingon improving the quality of the products. Such shift in production objective is risky. The possibility ofneglecting another important factor in customer satisfaction increases, namely due dates. From the aspect ofimproving quality, frequency of product assignment to limited number of high performance machines willincrease. This will lead to increased waiting time which can incur delays, In the case of due date orientedproduct dispatch, Products are assigned to machines without consideration for quality. Overall deterioration ofproduct quality is inevitable, In addition, Poor products will undergo rework process which can increase delays.The objective of this research is dispatching products to minimize due date delays while improving overallquality. Quality index is introduced to provide means of standardizing product quality. The index is used toassure predetermined quality level while minimizing product delays when dispatching products. Qualitystandardization method and dispatching algorithm is presented. And performance evaluation is performed withcomparison to various dispatching methods.

• Journal of Korean Society for Quality Management
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• v.32 no.1
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• pp.130-143
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• 2004

Although consumer needs for better products force manufactures to put emphasis on design, often development of a product has been done without the formal process to consider consumer needs. In order to identify the implicit needs of customers and the areas of potential demand on a product, several analysis scheme such as QFD (Quality Function Deployment) has been developed. QFD, also known as the House of Quality, is the efficient tool ever created to tie product and service design decisions directly to customer wants and needs, i.e. VoC (Voice of Customer) To utilize this tool on a product design, first of all, the consumers attributes and the engineering characteristics must be exactly investigated. However there were only few studies about them on shoe design. Hence in this paper we developed an innovative framework for shoes design based on QFD. As a result, we uncovered 29 dominant human satisfaction dimensions as the consumers attributes for customer-oriented quality evaluation of a comfortable shoes. Here, 29 human satisfaction dimensions for a shoe design were identified as the dimensions that represent the human sensitivity and psychological feeling on comfortable shoes. Also, we proposed 60 human interface elements as the engineering characteristics. The relationships between human satisfaction dimensions and human interface elements were investigated. This study will help the designers and manufacturers clarify the conceptual and abstract aspect of the design evaluation by proposing a more systematic and process-oriented method.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.1
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• pp.7-16
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• 2003

At present, company has to produce a product that consumer like with a competitive price, a good quality, and a fitting time to supply. Process control and quality control are very important to supply with a product uniformly and inexpensively. Process control is given much weight in the quality control in manufacturing system. Statistical process controls(SPC) that are used in process generally have major impact on manufacturing, product design activities, and process development potentially. Control charts in statistical process control method can be interpreted the data from quality characteristics in production process and discriminated between chance variation and assignable variation in process. In addition, control chart can be used to monitor the process output and detect when changes in the inputs are required to bring the process back to an in-control state. The models that relate the influential inputs to process outputs help determine the nature and magnitude of the adjustments required. In this paper, the characteristic of product quality is monitored by control chart during the machining process and construction of quality control cycle is considered to divide into two types in this case that different assignable causes lead to shifts having different magnitudes. Then we are intended to find a process shift magnitude which has economical quality cost policy and are considered to quality cost functions to find a process shift magnitude. Those costs are categorized into the well-known categories of prevention, appraisal, and internal failure and external failure. This paper ends with numerical examples that demonstrate the usefulness of the model.

• Journal of Distribution Science
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• v.22 no.5
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• pp.93-104
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• 2024

Purpose: This study used the SORmodel (or cue utilization theory) to examine the impact of expanded quality factorsincluding product quality on customer satisfaction, attitude, and behavioral loyalty. This study examined the moderating effect of gender on the customer satisfaction-attitudinal and behavioral loyalty relationship. Research design, data, and methodology: 364 respondents were collected through an online survey and analyzed using the SmartPLS 4.0 program. Results: The findings show that product quality, along with system quality and service quality, are key determinants of customer satisfaction. In addition, this study shows that the relationship between customer satisfaction and attitudinal loyalty (repurchase and word-of-mouth intention) does not differ depending on gender, but the relationship between customer satisfaction and behavioral loyalty (share-of-visit and share-of-wallet) is stronger for women than for men. Conclusions: This research integrates concepts from environmental psychology and marketing focusing on website quality (information, system, service, and product), as well as satisfaction, attitudinal and behavioral loyalty. Online shopping mall practitioners must systematically analyze and assess the quality of online shopping, a pivotal factor driving customer satisfaction, attitude, and behavioral loyalty. Acknowledging the influence of gender on consumers' online purchasing behavior can aid online retailers in devising tailored e-commerce marketing strategies aimed at attracting and retaining customers.

• Journal of Distribution Science
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• v.17 no.10
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• pp.17-26
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• 2019

Purpose - This research investigates the old marketing mix approach to satisfaction and loyalty from the perspective of research subjects of Samsung brand smartphone cases through empirical testing involving product quality, price, distribution channel variables as antecedent variables. Research design, data, and methodology - This study emphasizes the empirical/quantitative concept by using a survey as a data collection tool. The number of samples used was 179 eligible respondents who used Samsung smartphone devices for more than five years. Statistical testing tools use PLS with several testing stages such as the classical assumption test to the hypothesis testing stage. Results - The nine hypotheses proposed, as many as two hypotheses were proposed, namely intervening relationships involving Price and Distribution channel variables on customer satisfaction and customer loyalty. Conclusions - Product quality is the essential component affecting customer satisfaction and loyalty while distribution channel is a complementary component that is no less important to measure the extent to which customer satisfaction expectations and customer loyalty are realized for the product quality of the products that have been produced and marketed. The price component is not the only reason to make consumers satisfied and loyal.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.129-147
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• 2014

This study proposes an optimal operational policy for a green supply chain (GSC) where a retailer pays an incentive for collection of used products from customers and determines the optimal order quantity of a single product under uncertainty in product demand. A manufacturer produces the optimal order quantity of product using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts. Here, two scenarios for the product demand are assumed as: the distribution of product demand is known, and only both mean and variance are known. This paper develops mathematical models to find how order quantity, collection incentive of used products and lower limit of quality level for recycling affect the expected profits of each member and the whole supply chain under both a decentralized GSC (DGSC) and an integrated GSC (IGSC). The analysis numerically compares the results under DGSC with those under IGSC for each scenario of product demand. Also, the effect of the quality of the recyclable parts on the optimal decisions is shown. Moreover, supply chain coordination to shift the optimal decisions of IGSC is discussed based on: I) profit ratio, II) Nash bargaining solution, and III) Combination of (I) and (II).

• International Journal of Quality Innovation
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• v.3 no.2
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• pp.138-158
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• 2002

Nowadays, new product development (NPD) is one of the most crucial factors for business success. The manufacturing firms cannot afford the resources in the long development cycle and the costly redesigns. Good product planning is crucial to ensure the success of NPD, while the Quality Function deployment (QFD) is an effective tool to help the decision makers to determine appropriate product specifications in the product planning stage. Traditionally, in the QFD, the product specifications are determined by a rather subjective evaluation, which is based on the knowledge and experience of the decision makers. In this paper, the traditional QFD methodology is firstly reviewed. An improved Hybrid Quality Function Deployment (HQFD) [MSOfficel] then presented to tackle the shortcomings of traditional QFD methodologies in determining the engineering characteristics. A structured questionnaire to collect and analyze the customer requirements, a methodology to establish a QFD record base and effective case retrieval, and a model to more objectively determine the target values of engineering characteristics are also described.

• Transactions of the Korean Society of Automotive Engineers
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• v.13 no.1
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• pp.184-193
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• 2005

Digital representations of products and parts have largely replaced physical drawings as the form in which product data are stored, analyzed, and communicated among the people contributing to the design of an automobile. Many individuals and companies participate in the design of an increasingly complex automobile; hence, the design process depends critically on team members' ability to share information about essential design elements. These trends have elevated the importance of the quality of product data and its efficient exchange. In this paper, we show state-of-the-art on Product Data Quality(PDQ), and activities of PDQ assurance. And we propose a novel design history-based approach for diagnosis and healing of a CAD model.

• Korea Trade Review
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• v.46 no.5
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• pp.195-211
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• 2021

The purpose of this study is to examine the relationship among innovation activities, innovation performance, and management performance of export firms. I first undertake a review of previous studies related to innovation activity, innovation performance, and export firms' innovation. Based on this, I set up a research model and hypotheses. First, The innovation activity is classified into product innovation activity, process innovation activity, and administrative innovation activity. Innovation performance is divided into product quality improvement and cost reduction. And the business performance is regarded as financial performance of export's firms. This study examined whether innovation activity affect innovation performance such as product quality improvement and cost reduction. In addition, I examined whether these innovation performance affects business performance (financial performance). To achieve this, a total of 368 questionnaires are used in this study and PLS (Partial Least Square) was used to analyze structural equation. As a result, this study shows that product innovation activity have a positive effect on product quality improvement, and process innovation activity also have a positive effect on product quality improvement. However, it was found that neither product innovation activity nor process innovation activity had an effect on cost reduction. And it was found that administrative innovation did not affect product quality improvement, but had a positive effect on cost reduction. Also, it was found that quality improvement, which is an innovation performance, did not affect the financial performance of export's firms, and cost reduction, which is an innovation performance, had a positive effect on the financial performance of the export's firms.