• Journal of the Ergonomics Society of Korea
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• v.12 no.1
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• pp.17-24
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• 1993

Today, rapid development and timeliness of introducing a new product be- comes a more influencing factor of determing its competitive power due to a shortened product cycle, while rapid improvement of manufacturing technology makes product design and manufacturing fuse together. This implies that prod- uct usability evaluation and improvement starts right from its design phase, resulting in less development time and cost. To make this possible, proper as- sessment of human reach is one of essential functions for ergonomic product us- ability evaluation, specifically in the platform of computer-aided ergonomic evaluation models or any CAD system with a built-in man model. In this study, an analytic reach prediction algorithm ensuring the posture that human naturally takes, is presented by employing the methods developed for robot kinematics. Among robot kinematic methods for solving the multi-link system, the resolved motion method was found to be effective to solve human reach as a redundant manipulator model. Also, the joint range availability was used as a performance fonction to guarantee human naturalness. The result is expected to be directly applicable to product usability evaluations.

• IE interfaces
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• v.23 no.4
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• pp.275-285
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• 2010

In complex industrial world, many companies make every effort to analyze their competition capability through various performance evaluation tools to cope with rapidly changing business environment. Among evaluation tools the balanced scorecard (BSC), put forward by Kaplan and Norton in 1992, is a strategic performance management tool for measuring whether the smaller-scale operational activities of a company are aligned with its larger-scale objectives in terms of vision and strategy. The BSC tool offers a comparative advantage over others to evaluate the objective achievement of a company by linking its strategic objectives with operational KPI. In this paper, we introduce a case that the BSC performance evaluation system was implemented based on product data management and applied it to the business process. Specially, we shows a implementation procedure to derive discipline-specific topics and key performance metrics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3869-3877
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• 2011

The purpose of this study is to investigate the influence of market orientation and creativity on new product performance and to examine whether these factors on new product performance between types of technology innovation. Based on the literature reviews, this study employs five factors in two group of influencing factors, market orientation characteristics and creativity characteristics as key determinants of new product performance. The data have been collected from 136 enterprises and the respondents were person in charge of new product development of each corporation. The results of hypotheses testing through multiple regression analysis are summarized as follows. Firstly, all factors of market orientation and creativity have positive influence upon new product performance. Secondly, in terms of the relationship between market orientation and creativity and new product performance, the results showed significant differences between continuous innovation and discontinuous innovation samples. Based on the findings, implications and directions for future research are discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.120-128
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• 2015

Quality function deployment (QFD) is a useful method in product design and development to maximize customer satisfaction. In the QFD, the technical attributes (TAs) affecting the product performance are identified, and product performance is improved to optimize customer requirements (CRs). For product development, determining the optimal levels of TAs is crucial during QFD optimization. Many optimization methods have been proposed to obtain the optimal levels of TAs in QFD. In these studies, the levels of TAs are assumed to be continuous while they are often taken as discrete in real world application. Another assumption in QFD optimization is that the requirements of the heterogeneous customers can be generalized and hence only one house of quality (HoQ) is used to connect with CRs. However, customers often have various requirements and preferences on a product. Therefore, a product market can be partitioned into several market segments, each of which contains a number of customers with homogeneous preferences. To overcome these problems, this paper proposes an optimization approach to find the optimal set of TAs under multi-segment market. Dynamic Programming (DP) methodology is developed to maximize the overall customer satisfaction for the market considering the weights of importance of different segments. Finally, a case study is provided for illustrating the proposed optimization approach.

• Journal of the Korean Operations Research and Management Science Society
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• v.21 no.3
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• pp.11-46
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• 1996

The objectives of this research paper are to identify the types of the firm's new product development strategy and their characteristics about business strategy, to examine the effect of each type on new product outcomes, and to explore the contingency variable influencing the relationship between these types and new product outcomes. The result of the research are summarized as follows : First, in terms of both the resource allocation for product innovativeness and technology acquisition method, this study suggests 9 types of the firm's new product development strategies- Type 1 (pursuing low innovative products/relying on external technology), Type 2 (pursuing low innovative products oriented/relying on internal technology), Type 3 (pursuing low innovative products/relying on mixed technology), Type 4 (pursuing high innovative products/relying on internal technology), Type 6(pursuing high innovative products /relying on mixed technology), Type 7 (balancing low and high innovative products/relying on external technology), Type 8 (balancing low and high innovative products/relying on internal technology), Type 9 (balancing low and high innovative products/relying on mixed technology). Second, these 9 types are deeply associated with the firm's business strategic variables such as product differentiation and market differentiation, and exhibit different level of both technical and commercial performance of new products. Finally, the effects of these types on new product outcomes are different according to industrial environment and firms' characteristics with respect to size and technological capability.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.175-180
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• 2013

To compete global marketplace, many firms are adopting product families to increase variety, satisfy customer requirements, shorten lead-times and reduce costs. The key to a successful product family is the platform from which it is derived. When designing product families, it is important to resolve the tradeoff between product commonality and distinctiveness. To measure the commonality within a product family, it is necessary to develop the commonality index. It utilizes different parameters such as the number of common components, their cost, their manufacturing processes and so on. This paper present a new product family assessment index using the benchmarking method and considering environmental performance called green product family index(GPFI). Through the comparison analysis between some previous developed commonality indices and GPFI, we verify the suitability and effectiveness. Eventually, the proposed a new green product family assessment index can be helpful to design and develop the environmentally conscious product families.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.3
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• pp.134-146
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• 2011

This paper suggests the product supply process model based on the store and production capacity, assortment planning and quick response for fast fashion retailers with BPMN. In the fast fashion industry, the standardized business process model is required to respond quickly market trends and customer requirements based on the quantitative and qualitative criteria. Thus we define the product supply processes which incorporate forecasting and assortment plan, cost and profitability of the production, store capacity based on the visual merchandising, and production capacity of the fast fashion retailers. Also we design the key performance indicators to evaluate the effectiveness of these product supply processes. The product supply process model for the fast fashion has great significance in embracing the fast fashion product development process because it presents the holistic view of the product supply process of the fast fashion and provides a performance evaluation mechanism. A case study shows that adopting the processes, a Korean fast fashion company achieves improvement in various performance indicators.

• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.445-454
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• 2017

The performance of spatial downscaling models depends on the quality of input coarse scale products. Thus, the impact of intrinsic errors contained in coarse scale satellite products on predictive performance should be properly assessed in parallel with the development of advanced downscaling models. Such an assessment is the main objective of this paper. Based on a synthetic satellite precipitation product at a coarse scale generated from rain gauge data, two synthetic precipitation products with different amounts of error were generated and used as inputs for spatial downscaling. Geographically weighted regression, which typically has very high explanatory power, was selected as the trend component estimation model, and area-to-point kriging was applied for residual correction in the spatial downscaling experiment. When errors in the coarse scale product were greater, the trend component estimates were much more susceptible to errors. But residual correction could reduce the impact of the erroneous trend component estimates, which improved the predictive performance. However, residual correction could not improve predictive performance significantly when substantial errors were contained in the input coarse scale data. Therefore, the development of advanced spatial downscaling models should be focused on correction of intrinsic errors in the coarse scale satellite product if a priori error information could be available, rather than on the application of advanced regression models with high explanatory power.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.3
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• pp.133-144
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• 2020

This study examines the indirect effects of new product development(NPD) on the relationship between entrepreneurial orientation(EO) and business performance is contingent on organization size. Although previous studies have revealed that EO has a positive effect on business performance and NPD, there have been no research attempts to comprehensively grasp the causal path of EO, NPD, and business performance. Therefore, this study analyzed the causal path focusing not only on final financial business performance affected by EO but also on the mediating role of new product development, which is an intermediate performance. Based on the sample of 3,299 firms from the 2018 Entrepreneurship Survey(Corporate), we analyzed the EO-NPD-business performance relationship and explored whether such an indirect effect of EO on business performance differs depending on the size of the firm. The results showed that EO has a positive impact on business performance and NPD. In addition, NPD positively mediates the relationship between EO and business performance under the condition of large size firm, although NPD does not have a direct effect on business performance. With the findings, the current study has principal implications for practicing managers. The result of this study is not to suggest that NPD triggered by EO is a panacea for improving final business performance. The study suggests a need to equip organizational capabilities to successfully commercialize new products and appeal to the market and customers, beyond simply developing new products seeking newness based on EO.

• Journal of Distribution Science
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• v.20 no.12
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• pp.43-57
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• 2022

Purpose: This study discusses the phenomenon of the uncertain sustainability of SMEs in developing countries. SMEs face various challenges in the dynamics of a competitive environment, which threaten their growth and sustainability. This study aims to address a research gap between company's internal resources, in the form of absorptive capacity, and its business performance. By using product quality as a mediator, which has never been studied before, this research presents a novelty to answer the existing research gap using the Resource Based Theory (RBT) perspective. Research design, data and methodology: Using quantitative method, data are collected from 164 respondents, who are owners or managers of furniture manufacturing SMEs in Gerbangkertosusila Area, East Java, Indonesia. The data are analyzed using Partial Least Square (PLS) - Structural Equation Modeling (SEM). Results: The findings show that absorptive capacity has a direct and significant effect on business performance and indirectly through product quality. Conclusion: Furniture manufacturing SMEs are advised to focus on developing absorptive capacity reflected in good product quality, in order to improve their business performance. This is especially important to survive the crisis caused by the Covid-19 pandemic. Thus, the results of this study contribute to the development of RBT, and there are several suggestions for further research.