• Journal of KIISE:Computing Practices and Letters
• /
• v.10 no.2
• /
• pp.156-173
• /
• 2004

Business process should support the execution of collaboration process with agility and flexibility through the integration of enterprise inner or outer applications and human resources from the collaborative workflow view. Although the dependency of enterprise activities to the automated system has been increasing, human role is as important as ever. In the workflow modelling this human role is emphasized and the structure to control human error by analysing decision-making itself is needed. Also, through the collaboration of activities agile and effective communication should be constructed, eventually by the combination and coordination of activities to the aimed process the product quality should be improved. This paper classifies human errors can be occurred in collaborative workflow by applying GEMS(Generic Error Modelling System) to control them, and suggests human error control method through hybrid based modelling as well. On this base collaborative workflow modeling tool is designed and implemented. Using this modelling methodology it is possible to workflow modeling could be supported considering human characteristics has a tendency of human error to be controlled.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 2017.04a
• /
• pp.108-108
• /
• 2017

In this study, biocomposite filaments with agricultural by-products can be used in extrusion-based 3D (Three-dimensional) printing. Extrusion-based 3D printing stands as a promising technique owing to its versatility. We hypothesized that bio-filament composite consisted of something derived from agricultural by-products could be used as 3D printing materials that could overcome the drawbacks of PCL (poly-caprolactone). Bio-filament mixed with PCL and agricultural by-products was defined as r-PCL in this study. In order to find it out the optimal mixing ratio of filaments, we had investigated PCL, r-PCL 10%, r-PCL 20%, r-PCL 50% separately. The morphological and chemical characteristics of the filaments were analyzed by FE-SEM (Field emission scanning electron microscope) and EDX (Energy-dispersive X-Ray spectroscopy), and the mechanical properties were evaluated by stress-strain curve, water contact angle, and cytotoxicity analysis. Results of this study have been shown as a promising way to produce eco-friendly bio-filaments composite for FDM (Fused deposition modeling) method based 3D printing technology. Thus, we could establish biomimetic scaffolds based on bio-printer filaments mixed with agricultural by-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 Computational Design and Engineering
• /
• v.2 no.1
• /
• pp.38-46
• /
• 2015

Augmented reality based on projection, called "Spatial Augmented Reality (SAR)", is a new technology that can produce immersive contents by overlapping virtuality and real-world environment. It has been paid attention as the next generation digital contents in media art and human-computer interaction (HCI). In this paper, we present a new methodology to evaluate the product appearance design more intuitively by means of SAR technique. The proposed method first projects the high-quality rendered image considering the optical property of materials onto the mock-up of a product. We also conduct a projector-camera calibration to compensate a color distortion according to a projector, a projection surface and environment lighting. The design evaluation methodology we propose offers more flexible and intuitive evaluation environment to a designer and user (evaluator) than previous methods that are performed via a digital display. At the end of this research, we have conducted a case study for designing and evaluating appearance design of an automobile.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2003.06a
• /
• pp.1799-1802
• /
• 2003

The commercial success of a new product is influenced by the time to market. Shorter product leadtimes are of importance in a competitive market. This can be achieved only if the product development process can be realized in a relatively small time period. New cutting inserts are developed by a time consuming trial and error process guided by empirical knowledge of the mechanical cutting process. The effect of previous cutting on chip formation and the surface residual stresses has been studied. The chip formation is not affected much. There is only a minor influence from the residual stress on the surface from tile first cutting on the second pass chip formation. Thus, it is deemed to be sufficient to simulate only the first pass. The influence of the cutting speed and feed on the residual stresses has been computed and verified by the experiments. It is shown that the state of residual stresses in the workpiece increases with the cutting speed. This paper presents experimental results which can be used for evaluating computational models to assure robust solutions. The general finite element code ABAQUS/Standard has been used in the simulations. A quasi-static simulation with adiabatic heating was performed. The path for separating the chip from the workpiece is predetermined. The agreement between measurements and calculation is good considering the simplifications introduced.

• The KIPS Transactions:PartD
• /
• v.13D no.6 s.109
• /
• pp.807-814
• /
• 2006

Along with the enlargement of application scope, the growth of requirements complexity, and the fast development of product for embedded system, lots of industries developing embedded software try to evolve their traditional development environment into the new paradigm such as product line engineering approach. In order to sufficiently support the evolution, software architecture is essentially required to develop the embedded software. In this paper, we propose a tool, named TToSA which translates the conventional software models to software architecture models. Our TToSA is developed with the critical implication about that an industry can approach toward the new development paradigm without the big change of the existing software development method.

• Proceedings of the Korean Society for Quality Management Conference
• /
• 2004.04a
• /
• pp.38-43
• /
• 2004

Customer satisfaction is becoming an increasingly salient topic in many firms and in academic research. One main rationale behind this interest is that customer satisfaction is believed to be associated with fruitful customer re-visit from the firm's point of view. Some country already had index models which can measure the degree of customer satisfaction. But, such models are ordinary models which used generally the scope of nation-wide industry. Therefore, we needs some modifications to measure customer satisfaction for specific product & service and to provide the valuable feedback to specific firms. In this perspectives, this study will evaluate the customer satisfaction index about automobile company and analyze it's result for valuable feedback. This study will present a model for an integrated customer satisfaction evaluation system which used structural equation modeling. Through this study, we anticipate that it will offer the measuring method about customer satisfaction and some guideline for product design process.

• Transactions of Materials Processing
• /
• v.4 no.3
• /
• pp.214-221
• /
• 1995

In the paper, we have proposed a new method to determine the initial billet for the forged products using a function approximation in the neural network. The architecture of neural network is a three-layer neural network and the back propagation algorithm is employed to train the network. By utilizing the ability of function approximation of a neural network, an optimal billet is determined by applying the nonlinear mathematical relationship between the aspect ratios in the initial billet and the final products. The amount of incomplete filling in the die is measured by the rigid-plastic finite element method. The neural network is trained with the initial billet aspect ratios and those of the unfilled volumes. After learning, the system is able to predict the filling regions which are exactly the same or slightly different to the results of finite element simulation. This new method is applied to find the optimal billet size for the plane strain rib-web product in cold forging. This would reduce the number of finite element simulation for determining the optimal billet size of forging product, further it is usefully adapted to physical modeling for the forging design.

• Fashion & Textile Research Journal
• /
• v.22 no.2
• /
• pp.192-201
• /
• 2020

This study examined the relationship between Korean male consumers' perceptions of marketing promotion investment such as advertising expenditure and celebrity endorsement are the brand equity elements. It also compared if there were differences on this research model and two groups that selected Korean or foreign country-of-brand-origin in fashion product purchasing. Online survey responses from 414 Korean men in their 20s-30s were analyzed using confirmatory factor analysis (CFA) and structural equation modeling analysis (SEM). Perceptions of advertising expenditures were found to be positively related to brand association in only the group that selected Korean country-of-brand-origin. The results showed a non-significant effect of perceptions for advertising expenditures on perceived product quality in both groups that selected Korean or foreign country-of-brand-origin. The results indicated that celebrity endorsement had a significant effect on brand association for the two male consumer groups. The results also demonstrated that the relationship of celebrity endorsement and perceived quality was significant in only a group that selected Korean country-of-brand-origin. The results also revealed that the effect of brand association and perceived product quality on brand preference was significant in both male consumer groups. This study has useful managerial implications for enhancing the effectiveness of investment in advertising activities.

• Journal of Korean Society for Quality Management
• /
• v.41 no.3
• /
• pp.355-369
• /
• 2013

Purpose: This study is about Lean-NPD (New Product Development). Lean-NPD is Pulip Line's New Product Development type. This study introduced Lean-NPD Definition, Case Study, and Research Model of Lean-NPD. Empirical results of this survey will be provide suggestions to workers. Methods: Researcher developed research model about Lean-NPD activities. And researched Lean-NPD. This study analyzed model fitness and path significant with SEM(Structural Equation Model). Results: Fitness of the research model was satisfactory level. Leadership capabilities and production operations were significantly influence marketing capabilities(t> ${\pm}1.96$). Organizational culture significantly affected marketing capabilities(t> ${\pm}1.96$). R&D capabilities and marketing competencies had significant influence on business performance(t> ${\pm}1.96$). Marketing capabilities had significant influence on quantitative management performance(t> ${\pm}1.96$). Outstanding leadership appear to directly affect Qualitative Performance(t> ${\pm}1.96$). Conclusion: Under the excellent leadership and management environment definite organic Lean-NPD organizational culture significantly affects the operation can be seen. Lean-NPD of operational activities to provide value to customers, customer-oriented marketing activities can be seen that more important than anything. Lean NPD based on customer needs is key factor of growth.