• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.4
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• pp.110-117
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• 2012

The demand for facility used in producing multi-products is changed dynamically for discrete and finite time periods. The excess or the shortage for facility is occurred according to difference of the facility capacity size and demand for facility through given time periods. The shortage facility is met through the outsourcing production. The excess facility cost is considered for the periods that the facility capacity is greater than the demand for the facility, and the outsourcing production cost is considered for the periods that the demand for facility is greater than the facility capacity. This paper addresses to determine the facility capacity size, outsourcing production products and amount that minimizes the sum of the facility capacity cost, the excess facility cost and the outsourcing production cost. The characteristics of the optimal solution are analyzed, and an algorithm applying them is developed. A numerical example is shown to explain the problem.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1421-1431
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• 2005

In this study, outsourcing behaviors of shoe manufacturing companies were studied and four types of outsourcing were generated based on qualitative data collected through in-depth interviews with 21 practitioners of shoe manufacturing companies. In results, shoe manufacturers are actively adopting outsourcings in production of raw materials(RM) as well as final products(FP). However, relatively less effect is being made on outsourcing in the field of product planning, international marketing and information technology. Four types of outsourcing include shoe manufacturers focusing on: 1) domestic production of RH and FP, 2) domestic production of RM and international production of FP, 3) domestic/international production of RM and FP, and 4) international production of RH and FP. These types were differed. from their manufacturing items, product planning skills and target markets of shoe manufacturing companies.

• IE interfaces
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• v.13 no.3
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• pp.512-520
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• 2000

An integrated process planning and scheduling model considering outsourcing in manufacturing supply chain is proposed in this paper. The process planning and scheduling considering outsourcing are actually interrelated and should be solved simultaneously. The proposed model considers the alternative process plans for job types, precedence constraints of job operations, due date of production, transportation time and production information for outsourcing. The integrated states include:(1) Operations sequencing, (2) Machine selection, (3) Scheduling with outsourcing under the due date. To solve the model, a heuristic approach based on genetic algorithm(GA) is developed. The proposed approach minimizes the makespan considering outsourcing and shows the best operation-sequences and schedule of all jobs.

• Korean Journal of Computational Design and Engineering
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• v.21 no.3
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• pp.353-362
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• 2016

As ships become larger and construction of offshore plants increases recently, the amount of outsourcing has increased accordingly in the shipyard. Consequently, the system integration in terms of SCM (Supply Chain Management) of information and material flows has become much more important. Especially, since the SCM in the shipbuilding industry is operated in accordance with the production planning in connection with design, purchasing and production process which are the main components of the supply chain, the best production plan has to be established over the whole scheduling activities from the long-term planning to the short-term planning. The paper analyzes the characteristics of the SCM and the production planning system and suggests the need and the direction of APS (Advanced Planning System) development specialized in the supply chain management only for shipbuilding industry. Furthermore, propose a new SCP-Matrix (Supply Chain Planning Matrix), which is the basis of the APS development, appropriate for the shipbuilding industry and draw the core function of the APS module for the practical production plan.

• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.286-308
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• 2021

For a long time, dramas that everyone has enjoyed at home have become the most popular cultural contents due to the development of digital technology and the influence of Hallyu.(Korean Wave) This study was conducted in-depth interviews and participatory observations on the background, role, identity, and labor experience of TV planning producers who appeared in the drama production process with the implementation of outsourcing production policy in 1991. The number of dramas produced increased sharply in the mid-2000s due to the Korean Wave. Against this backdrop, the planning producer has expanded their scope in the drama production process and emerged as a new drama producer. The planning producer plays a role in creating an environment in which writers and directors can be selected with the identity of "not a creator but a producer of dramas" and lead drama planning. OTT and watching TV on the Internet have made it possible to watch dramas without TV. As this phenomenon accelerates and becomes commonplace, fewer consumers adhere to the traditional way of watching dramas using TV, and consumers' emotional tastes become more demanding. In this environment, TV planning producers are leading the production of dramas, exerting as much influence as writers and directors. They are also building new power relationships among drama producers by securing planning and financial power.

• IE interfaces
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• v.17 no.4
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• pp.472-481
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• 2004

In this paper, we propose a linear programming model of supply planning process for the supply chain collaboration strategy of a company. The amount of its supplying quantity relies on outsourcing suppliers heavily. Conversely, the revenues of those suppliers are highly dependent on the supplying quota from the supply network planning of the company. In order to keep the supply stable through collaboration, the company builds such a policy to guarantee the fairness on revenue between the supplies. For this, the supply network plan should keep the capacity utilization ratio even for all the suppliers. But the production capacities are different and the distribution of molds is disproportional through suppliers, so the supply network plan is not easily established with simple arithmetic processes. Therefore, we developed the linear programming model with those target function and constraints minimizing the costs for holding inventory and penalty of delayed delivery, simultaneously guaranteeing the even capacity utilization through suppliers. The proposed model has been applied to real case and the evaluation for the planning result from the model would be followed in order to make sure that our model guarantee on extracting the supply network plan subordinated to the policy. Also we mention about further studies for improvement of the model.

• Management Science and Financial Engineering
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• v.8 no.2
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• pp.33-45
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• 2002

This study suggests an approach for determining fleet size for LTL (less -than-truckload) transportation with dynamic demand for on-time supply of the parts between the assembly line in an automobile company and its part suppliers in Korea. The vehicles operated by the transportation trucking companies in Korea in general can be classified into three types depending on the ways how their expenses occur; company -owned truck, mandated truck which is owned by outsider who entrusts the company with its operation, and rented truck (outsourcing) . With the forecasted monthly production data a year, a heuristic algorithm is developed to determine the number of company-owned trucks, mandated trucks, and rented trucks in order to minimize the expected annual operating cost, which is based on the solution technologies used in the aggregate production planning and vehicle routing problem. Finally the algorithm is tested for the problem how the trucking company transports parts for the automobile company.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.449-455
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• 2002

This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

• Journal of the Korea Fashion and Costume Design Association
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• v.14 no.1
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• pp.131-150
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• 2012

The purpose of this study is to provide the characteristics of marketing strategy on the SPA(Specialty store retailor of Private label Apparel) brand. This research can be used as information for the domestic SPA brand to enhance its international competitiveness. The characteristics of marketing strategy on the SPA brand are as follows. 1. One company integrate vertically the process of planning, production, promotion and distribution. 2. As using the advanced information, productions, and logistics systems, they are carried out speedy management. 3. The production strategies are focused on providing new goods of fast cycle and very diverse styles in a season, developing products that accurately reflect the general market trend and consumer demands, extending the line of goods, outsourcing of the place to reduce production costs. For high-quality goods, they are collaborating with the famous designers and developing of new and green environment materials. 4. Generally, the SPA brand emphasizes the low price strategy against the quality. 5. The promotion strategies are focused on conducting various unique and high sensible VMDs, fashion shows, star marketing, campaigns, aggressive publicity, magazine & outdoor advertisement and various events through the internet website, etc. 6. The place (distribution) strategies of SPA brand are focused on launching into global, expanding number of stores, increasing large-sized stores and diversifying the forms of store and selling.

• IE interfaces
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• v.17 no.1
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• pp.71-77
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• 2004

At the present time, container transportation plays a key role in the international logistics and the efforts to increase the productivity of container logistics become essential for Korean trucking companies to survive in the domestic as well as global competition. This study suggests an approach for determining fleet size for container road transportation with dynamic demand. Usually the vehicles operated by the transportation trucking companies in Korea can be classified into three types depending on the ways how their expenses occur; company-owned truck, mandated truck which is owned by outsider who entrust the company with its operation, and rented vehicle (outsourcing). Annually the trucking companies should decide how many company-owned and mandated trucks will be operated considering vehicle types and the transportation demands. With the forecasted monthly data for the volume of containers to be transported a year, a heuristic algorithm using tabu search is developed to determine the number of company-owned trucks, mandated trucks, and rented trucks in order to minimize the expected annual operating cost. The idea of the algorithm is based on both the aggregate production planning (APP) and the pickup-and-delivery problem (PDP). Finally the algorithm is tested for the problem how the trucking company determines the fleet size for transporting containers.