• Journal of Korean Institute of Industrial Engineers
• /
• v.33 no.3
• /
• pp.312-321
• /
• 2007

We address a disposal issue of returned products in a product recovery system where a single product is stocked in order to meet a demand from customers who may return products after usage. Product returns occur randomly and can be accepted for remanufacturing or disposed of depending on the state of the system. We examine the structure of the optimal disposal policy for returned product that utilizes the information of the inventory of both serviceable and remanufacturable products. Numerical study indicates that it can be characterized by a monotonic threshold type of the curve. A disposal is allowed only when the remanufacturable inventory level exceeds a threshold which is the function of the inventory level of serviceable product and it is decreasing as the serviceable inventory level increases. Sensitivity analysis also indicates that the optimal disposal policy and the optimal profit have monotonic properties with respect to system parameters.

• Journal of Korean Society for Quality Management
• /
• v.43 no.4
• /
• pp.589-606
• /
• 2015

Purpose: In developing new products, reducing performance variation is important for competitiveness factors such as quality, cost, and delivery. This paper aims at evaluating three performance variations; measurement, performance evaluation, and manufacturing variations, and then improving product and process design, focused on paper helicopter making case study. Methods: For measurement system analysis, gage R&R (repeatability and reproducibility), linearity, stability are evaluated. Since gage R&R are not satisfactory, the measurement system is improved by adopting voice memos application of iPhone and providing standard measurement procedure. To evaluate performance variation, product deterioration and environment factor (wind speed) is considered. Since the existing design is sensitive to these noise factors, a new product design is developed, which is proven to be robust to the noise factors. Finally, manufacturing variations are evaluated with five factors which can cause variation in flight time. To reduce the impact of three significant factors, three improvement methods are applied. Results: Three performance variations are evaluated and robust paper helicopter design is presented. Conclusion: To reduce measurement and process variations, improved measurement method and paper helicopter making procedure are proposed. A new product design is also presented which is robust to deterioration and environmental variation. This paper is expected to benefit students and practitioners who want to have hands-on knowledge on new product quality improvement.

• Journal of Science of Art and Design
• /
• v.2
• /
• pp.128-160
• /
• 2000

The objective of this study is to establish a theoretical framework of factors and strategies for success , by probing into design management strategies and the resulting product development details of firms from many parts of the world that improved their images and competitiveness through industrial design. As a means for a company to successfully develop products and to survive, strategies for successful product development were unfolded by many leading businesses of industrial design, whose methods and strategies were respectively unique. International companies such as Philips, Sony, Braun, Ford, and Alessi employed industrial design to not only renew their brand perceptions, but also added values to human life by embedding exclusive designs that customers prefer in their products. They have used design as a business strategic tool, whose elemental processes are, planning, organizing, directing, and controlling. In conclusion, the successful strategies of the leading global companies' design management and product development share the following First, these companies seek design strategies that foresee upcoming changes and are ahead of their time. Second, the CEO is aware of the importance of design, has an appreciative eye for design, and puts in effort into supporting and developing his or her design sector. Third, the director is provided with the conditions in which he or she can take control of one's tasks, and has the abilities and qualities to provide visions for the future. Fourth, the product development team uses original and logical processes and is highly organized. Fifth, the design organization effectively utilizes necessary experts of internal and external company. Sixth, the firm produces innovative products that meet the customers' demand and predict the future. Seventh, the products developed shall employ cutting-edge technologies and are new and original. Eighth, the product must have an identity as a product that represents the company.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.43 no.3
• /
• pp.21-28
• /
• 2020

Aftermarket refers to a market in which a company sells complementary goods, replacements of parts, and upgrade or maintenance services to consumers after selling them main durable goods. Intuitively, consumers who purchase main durable goods become major potential customers in subsequent aftermarket. Thus the existence of the aftermarket has a significant impact on pricing of the main durable goods as well as the aftermarket products. In this study, we analyze the effect of aftermarket on the pricing strategy for a company selling both main durable goods and aftermarket products. To do this we first divided the market into markets where the aftermarket products are indispensable and optional. Based on the proposed market types, the profit maximizing solutions are derived using two-period model, and the impacts of consumers' undervaluation of aftermarket product prices on pricing strategy are analyzed. The results can be summarized as follows : (1) Regardless of the market type, the total profits were found to be inversely proportional to the consumer's awareness accuracy of product prices in the aftermarket. This is in line with marketing efforts that sales companies have made intuitively to make consumers underestimate the cost of the aftermarket. (2) If aftermarket product is indispensable, only revenue from the aftermarket is sought. On the other hand, if aftermarket product is optional, revenue from the main durable good as well as the aftermarket product will be sought simultaneously. (3) Moreover, when aftermarket product is optional, the lower the awareness accuracy of consumers, the higher the price and profit of the main durable goods, while the lower the price and profit of the aftermarket products. This is contrary to the intuition that the lower the consumer's valuation of the costs of aftermarket, the more advantageous it would be to rely on aftermarket products rather than on main durable goods.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.35 no.1
• /
• pp.1-9
• /
• 2012

It is well known that internet shoppers are very sensitive to sale prices. They visit the various shopping malls and collect the product information including purchase conditions for goods purchase decision-making. Recently the necessity of information support is increasing because of increase of information amount which is necessary and complexity of goods purchase decision-making process. The comparison shopping agent systems have provided price comparison information which is collected from various shopping malls to satisfy internet shoppers information craving. But the frequent price change caused by keen price competition is becoming the primary reason of information quality decline among price comparison sites. RSS which is a family of web feed formats used to publish frequently updated is applied even in on-line shopping malls. This paper develops a RSS product information collection system to get real-time product information. The proposed product information system consists of (1) web crawler module for searching RSS feed shopping malls automatically, (2) RSS reader module for parsing product information from RSS feed file, (3) product DB and (4) product searching module. Performance of the proposed system is higher than the comparison shopping agent systems when it is defined with the volume of collecting product information per unit time.

• Journal of Korean Society for Quality Management
• /
• v.48 no.2
• /
• pp.283-296
• /
• 2020

Purpose: This study examined the importance and satisfaction of consumer's perception of the information delivery format of products and services required and recommended by KS A ISO / IEC Guide 13: 2003 and KS A ISO / IEC Guide 37: 2003. Methods: In this study, the importance and satisfaction of clarity, principles of information transfer, how to use expressions and technical terms, and technical terms, warning signs, and durability were investigated. Results: The t-test analysis of the importance and satisfaction of the Writing Rules of the product user guide showed that all items had statistically significant differences. The importance of the writing rules of the product user guide for the use of the product was in the order of warning signs (4.423), how to use expressions and technical terms (4.215), principles of information transfer (4.163), clarity (3.914), and finally durability (3.851). Conclusion: Among the 'explanation,' 'instruction' and 'warning' functions of the Product User Guide, the consumer uses the manual to identify the inherent dangers and misuse of the product. Besides, since the life of the product is prolonged, the Product User Guide also needs to improve the quality of the cover or paper so that it can use for a long time.

• Industrial Engineering and Management Systems
• /
• v.9 no.1
• /
• pp.41-53
• /
• 2010

An existing risk diagnosing methodology (RDM) diagnoses corporate risk for product-innovation projects. However, it cannot evaluate and compare the risk levels of multiple alternatives in the product development stage. This paper proposes a modified risk diagnosis method to fill the gap of risk evaluation in selections of innovative product alternatives and the application of the method will be also illustrated by a case problem on alternative selections in electrical dimmer designs. With RDM as the foundation, a modified RDM (MRDM) is proposed to deal with the problem of selecting innovative project alternatives during the early stages of product development. The Bayesian network; a probabilistic graphical model, is adopted to support the risk pre-assessment stage in the MRDM. The MRDM is proposed by incorporating the risk pre-assessment stage into the foundation. By evaluating the engineering design risks in two electrical dimmer switches, an application of the MRDM in product innovation development is successfully exemplified. This paper strengthens the existing methodology for RDM in innovative product development projects to accommodate innovative alternatives. It is advantageous for companies to identify and measure the risks associated in product development so as to plan for appropriate risk mitigation strategies.

• International Journal of Quality Innovation
• /
• v.7 no.2
• /
• pp.157-172
• /
• 2006

Due to the advancement of technology and rapidly changing environment of the market, the life cycle of high-tech products is becoming shorter. The enterprise must constantly innovate and select correct development strategy of new product in order to respond to customers' demands for upgrading operational performance of industry. Development of new product is the critical activity for enterprise's survival and growth. This research focuses on the effects of Taiwan high-tech companies' introduction of innovative activity and development strategy of new product on development performance of new product for analysis and exploration. The result findings reveal that: (1) High execution degree of innovative activity has positive effect on the implementation of development strategy of new product; (2) The companies with better implementation of development strategy of new product reveal better development performance; (3) The companies with higher degree of execution of innovative activity and better execution of development strategy of new product reveal better development performance of new product.

• Industrial Engineering and Management Systems
• /
• v.13 no.4
• /
• pp.369-382
• /
• 2014

This paper introduces a new multi-product multi-period multi-objective aggregate production planning problem. The proposed problem is modeled using multi-objective mixed-integer mathematical programming. Three objective functions, including minimizing total cost, maximizing customer services level, and maximizing the quality of end-product, are considered, simultaneously. Several constraints such as quantity of production, available time, work force levels, inventory levels, backordering levels, machine capacity, warehouse space and available budget are also considered. Some parameters of the proposed model are assumed to be qualitative and modeled using fuzzy sets. Then, a fuzzy goal programming approach is proposed to solve the model. The proposed approach is applied on a real-world industrial case study of a color and resin production company called Teiph-Saipa. The approach is coded using LINGO software. The efficacy and applicability of the proposed approach are illustrated in the case study. The results of proposed approach are compared with those of the existing experimental methods used in the company. The relative dominance of the proposed approach is revealed in comparison with the experimental method. Finally, a data dictionary, including the way of gathering data for running the model, is proposed in order to facilitate the re-implementation of the model for future development and case studies.

• Journal of Korean Institute of Industrial Engineers
• /
• v.40 no.3
• /
• pp.291-298
• /
• 2014

Demand forecasting plays a key role in overall business activities such as production planning, distribution management, and inventory management. Especially, for a fast-changing environment of the clothing industry, logical forecasting techniques are required. In this study, we propose a procedure to predict product life cycle using data mining algorithms. The proposed procedure involves three steps : extracting key variables from profiles, clustering, and classification. The effectiveness and applicability of the proposed procedure were demonstrated through a real data from a leading clothing company in Korea.