• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.2
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• pp.93-101
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• 2021

The purpose of this study is to analyze the adequacy of production capacity of the assembly process system of mobile bath vehicle's top box panel and process design through a simulation analysis. Towards this end, the layout of the facility designed with pre-verification job using a simulation modeling and an experiment, and facility, logistics process, and personnel input method were made into a simulation model, and the design system's adequacy was evaluated through an experiment. To produce 120 mobile bath vehicles annually, it was analyzed that 14 general workers and seven skilled workers were adequate through the experiment. It was also identified that three painting process lines carried out through outsourcing were adequate. Production lead time was 201.7 hours on average and it was 230 hours maximum. To meet customer delivery service level of 95% within the deadline when establishing a customer order and vehicle delivery plan, it was analyzed that more than 215 hours of lead time is needed minimum. If the process cycle time is reduced to 85% upon system stabilization and skillfulness improvement, it was analyzed that annual output of 147 vehicles can be achieved without additional production line expansion.

• Journal of Fashion Business
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• v.14 no.3
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• pp.35-51
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• 2010

This study aims at providing data for establishing a marketing strategy which can enhance the competitiveness of Korea domestic SPA(Specialty Store Retailer of Private Label Apparel) Brands by suggesting countermeasure strategy through the observation and analysis for SPA Brands, under the current circumstance in which the systematic and scholastic discussion for the matter, is lack, despite the diastrophism in fashion industry is prospected according to the rapid growth of Global SPA Brands. For this purpose, the characteristic and current status of Global SPA Brands is examined, and the main cause of growth is analyzed by approaching to their marketing characteristic, in this study. In relation with this situation, this study suggests the provisions as below, which are drawn from the analysis on Global SPA Brands' marketing strategy, so that Korea domestic SPA Brands could achieve successive performance under fierce competition. First, to be a competitive SPA Brands a business should be able to supply products with frequent product turnover by an interval level of one week or so, the existent product planning by seasons, as a business obtains various swift informations on consumers' demand with R&D center foundation. Secondly, SPA Brands should establish a strategy that a business can create high net profit by inventory management which enables lowering inventory ratio remarkably, and a strategy for innovative product supply by small quantity batch production, along with founding a high technological logistics system. Third, SPA Brands should establish a strategy for primary cost reduction by overseas dispersed outsourcing in order to enable diverse product development and rational price setting. Fourth, fashion marketers should establish also a strategy for communication by which brand image can be delivered effectively, by firming the brand identity and by informing product characteristic and customer service totally, with the method of VMD and flagship store. Additionary, fashion marketers also should establish a strategy by developing mobile application which can provide brand image and diverse other fashion related information.

• Journal of the Korean Society of Costume
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• v.57 no.2 s.111
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• pp.69-85
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• 2007

Despite the recovery of consumer expenditure and retailing in the Korean economy after 2001, the domestic apparel industry has been aggravated by negative growth in both productivity and production. The purpose of the stud? is to diagnose the develop competitive of the Korean apparel industry and derive implications for this after estimating the efficiency of the Korean apparel companies with Data Envelopment Analysis. Data Envelopment Analysis(DEA) is a methodology based in non-parametric analysis and linear programming. It was developed for measuring the relative efficiency of a set of firms that use inputs to produce outputs. Data used fer input and output variables in the analysis are drawn from financial statement recorded by the Korean Financial Supervisory Service. The initial input data comprise the number fo the employees, fixed assets, general management and selling expenses, and cost of sales. The initial outputs are the operating profit and the gross margin. To summary the results, the efficiencies of the Korean apparel companies has increased yearly in spite of being overabundance of investment in Labour and Capital. According to correlation between input and output variables, the Korean apparel industry has been revamping gradually from labor intensive industries to the capital. The companies need to reduce costs in the results from the number of employees, fixed asset and cost of sales to transform into an efficiently enterprise. The companies owning or obtaining a brand had bitter establish an outsourcing strategic in production, while OEM corporations are called far setting up a manufactory in domestic or abroad. Although the paper is derived some implications with production efficiencies, the relation between apparel companies and brand power, consumption level of consumer, and social trend is remained on a limitation to the study. The next research necessitates a topic with Fashion industry or examining the correlation between brand value, social propensity and profit margin.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.2
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• pp.115-123
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• 2018

This study is empirically intended to put forward the modeling and process improvement measures for the SCM capability in small venture firms. The findings are summarized as follows. There were strategic alliance, technological development and centralization in the modeling of strategic planning for supply chain, not the least of which is strategic alliance, followed by centralization and technological development. There were routing scheduling, network integration and third party logistics outsourcing in decision making, not the least of which was network integration. There were customer service management, productivity management and quality management in management control, not the least of which was quality management. And there were order management choice, pricing demand, shipment delivery and customer management in transaction support system, not the least of which was order management choice. As for the above-mentioned findings, to maximize the SCM capability and operate the optimized process in small venture firms, the existing strategic alliances can optimize the quality management and stabilize the transaction support system through the network sharing and integration from the perspective of relevant organizational members' capability and process improvement. And the strategic linkage between firms can maximize the integrated capability of information system beyond the simple exchange relation between electronic data, achieving a differentiated competitive advantage. Consequently, the systematization and centralization for the maximization of SCM capability, including the infrastructure construction based on the system compatibility and reliability for information integration, should be preceded before the modeling of the integrated capability for optimum supply chain and the best process management in the smart era.

• Journal of Intelligence and Information Systems
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• v.16 no.3
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• pp.163-179
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• 2010

Recentlythe concept of fast fashion is drawing attention as customer needs are diversified and supply lead time is getting shorter in fashion industry. It is emphasized as one of the critical success factors in the fashion industry how quickly and efficiently to satisfy the customer needs as the competition has intensified. Because the fast fashion is inherently susceptible to trend, it is very important for fashion retailers to make quick decisions regarding items to launch, quantity based on demand prediction, and the time to respond. Also the planning decisions must be executed through the business processes of procurement, production, and logistics in real time. In order to adapt to this trend, the fashion industry urgently needs supports from intelligent quick response(QR) system. However, the traditional functions of QR systems have not been able to completely satisfy such demands of the fast fashion industry. This paper proposes an intelligent quick response system for the fast fashion(IQRS-FF). Presented are models for QR process, QR principles and execution, and QR quantity and timing computation. IQRS-FF models support the decision makers by providing useful information with automated and rule-based algorithms. If the predefined conditions of a rule are satisfied, the actions defined in the rule are automatically taken or informed to the decision makers. In IQRS-FF, QRdecisions are made in two stages: pre-season and in-season. In pre-season, firstly master demand prediction is performed based on the macro level analysis such as local and global economy, fashion trends and competitors. The prediction proceeds to the master production and procurement planning. Checking availability and delivery of materials for production, decision makers must make reservations or request procurements. For the outsourcing materials, they must check the availability and capacity of partners. By the master plans, the performance of the QR during the in-season is greatly enhanced and the decision to select the QR items is made fully considering the availability of materials in warehouse as well as partners' capacity. During in-season, the decision makers must find the right time to QR as the actual sales occur in stores. Then they are to decide items to QRbased not only on the qualitative criteria such as opinions from sales persons but also on the quantitative criteria such as sales volume, the recent sales trend, inventory level, the remaining period, the forecast for the remaining period, and competitors' performance. To calculate QR quantity in IQRS-FF, two calculation methods are designed: QR Index based calculation and attribute similarity based calculation using demographic cluster. In the early period of a new season, the attribute similarity based QR amount calculation is better used because there are not enough historical sales data. By analyzing sales trends of the categories or items that have similar attributes, QR quantity can be computed. On the other hand, in case of having enough information to analyze the sales trends or forecasting, the QR Index based calculation method can be used. Having defined the models for decision making for QR, we design KPIs(Key Performance Indicators) to test the reliability of the models in critical decision makings: the difference of sales volumebetween QR items and non-QR items; the accuracy rate of QR the lead-time spent on QR decision-making. To verify the effectiveness and practicality of the proposed models, a case study has been performed for a representative fashion company which recently developed and launched the IQRS-FF. The case study shows that the average sales rateof QR items increased by 15%, the differences in sales rate between QR items and non-QR items increased by 10%, the QR accuracy was 70%, the lead time for QR dramatically decreased from 120 hours to 8 hours.