보컬 리얼리티 프로그램은 특정 음악 장르의 유행과 스타의 등용문으로 활용되고 있으며 장기적 으로 성공하기 위해서는 더욱 다양한 제작 방법을 통하여 새롭고 특성화된 프로그램으로 발전시키 는 것이 중요하다. 본 논문은 방송사별 보컬 리얼리티 프로그램의 제작방향을 연구하였으며 보컬 이라는 고정적인 제작요소를 가지고 다양한 프로그램의 포맷이 가능할 수 있도록 정보를 제공하는 목적을 가지고 연구되었다. 연구 방법은 지금까지 관련한 문헌들의 분석을 통해 다양한 보컬 리얼 리티 프로그램의 기획과 제작의도 그리고 포맷을 제시하였으며 분석범위는 2020년 12월까지 제작 된 보컬 리얼리티 프로그램 중에서 기획의도를 확인할 수 있는 프로그램을 대상으로 선정하였다. 연구 결과 첫째, ‘지상파방송채널은 전 연령층이 즐길 수 있도록 흥미와 재미 위주의 프로그램으 로 포맷하였고 결과적으로 안정적인 운영이 가능하였다.’ 둘째, ‘종합편성채널은 참여 대상자 와 음악장르가 상대적으로 구체화 되었으며 화제성이 있는 프로그램일 경우 휴지기를 통해 장기적 으로 방송되었다.’ 마지막으로 셋째, ‘케이블 채널은 긴장감을 유발하는 경쟁구도를 큰 축으로 프로그램 제작을 하였다.’는 분석이 도출되었다. 본 논문은 보컬 리얼리티 프로그램의 파생과 변화의 고찰 대상이 같은 방송사 내에서 제작된 프로그램이라 한계점을 가지고 있으며 보컬 리얼 리티 프로그램의 생성과 변화과정에 대해 방송사 간의 다양한 관점으로 확대하여 후속연구를 진행 한다면 좀 더 객관적인 자료를 제공할 수 있고 좀 더 다양한 제작 방법을 제시할 수 있을 것이라는 제언을 하였다.

Many of companies have made significant improvements for globalization and competitive business environment The supply chain management has received many attentions in the area of that business environment. The purpose of this study is to generate realistic production and distribution planning in the supply chain network. The planning model determines the best schedule using operation sequences and routing to deliver. To solve the problem a hybrid approach involving a genetic algorithm (GA) and computer simulation is proposed. This proposed approach is for: (1) selecting the best machine for each operation, (2) deciding the sequence of operation to product and route to deliver, and (3) minimizing the completion time for each order. This study developed mathematical model for production, distribution, production-distribution and proposed GA-Simulation solution procedure. The results of computational experiments for a simple example of the supply chain network are given and discussed to validate the proposed approach. It has been shown that the hybrid approach is powerful for complex production and distribution planning in the manufacturing supply chain network. The proposed approach can be used to generate realistic production and distribution planning considering stochastic natures in the actual supply chain and support decision making for companies.

Up to date cosmetic OEM/ODM (original equipment manufacturing/original development manufacturing) industry receives attention as a future growth engine due to steady growth. However, because of limited research and development capability, many companies have employed commercial management platforms specialized for large-sized companies; thus, overall system effectiveness and efficiency is low. Especially, MRP (material requirement planning) system introduced originally in 1970s is employed to calculate the requirement of the parts. However, dynamic nature of production lead time usually results in incorrect requirements. In addition, its algorithm does not consider the capability of the production resources. Also, because the commercial MRP system calculates all subcomponent for fixed period, the more goods have subcomponent, the slower calculation is. Therefore, conventional MRP system cannot respond complicated situation in time. In this study, we will suggest a new method that can respond to complicated situations resulting from short lead time and urgent production order in Korean cosmetic market. In particular, a distributed MRP system is proposed, that consists of multi-functional and operational modules, based on the characteristic of the BOM (bill of material). The distributed MRP system divides components (i.e. products and parts) into several fields and decrease the problem size; thus, we can respond to dynamically changed data any time. Through this solution, we can order components quickly, adjust schedules and planned quantity, and manage stocks reasonably. In addition, a prototype of the distributed MRP system is presented in this paper, in which ERP (enterprise resource planning) sever data is associated with an excel spreadsheet via MSsql. System user interface is implemented by a VBA (visual basic for applications) tool. According to a case study, response rate for delivery and planning achievement rate were enhanced about 20%, and inventory turnover was also decreased. Consequently, the proposed system improves overall profit.

We consider a wafer lot transfer/release planning problem from semiconductor wafer fabrication facilities to probing facilities with the objective of minimizing the deviation of workload and total tardiness of customers’ orders. Due to the complexity of the considered problem, we propose a two-level hierarchical production planning method for the lot transfer problem between two parallel facilities to obtain an executable production plan and schedule. In the higher level, the solution for the reduced mathematical model with Lagrangian relaxation method can be regarded as a coarse good lot transfer/release plan with daily time bucket, and discrete-event simulation is performed to obtain detailed lot processing schedules at the machines with a priority- rule-based scheduling method and the lot transfer/release plan is evaluated in the lower level. To evaluate the performance of the suggested planning method, we provide computational tests on the problems obtained from a set of real data and additional test scenarios in which the several levels of variations are added in the customers’ demands. Results of computational tests showed that the proposed lot transfer/planning architecture generates executable plans within acceptable computational time in the real factories and the total tardiness of orders can be reduced more effectively by using more sophisticated lot transfer methods, such as considering the due date and ready times of lots associated the same order with the mathematical formulation. The proposed method may be implemented for the problem of job assignment in back-end process such as the assignment of chips to be tested from assembly facilities to final test facilities. Also, the proposed method can be improved by considering the sequence dependent setup in the probing facilities.

Because land based aquaculture is restricted by high investment per rearing volume and control cost, good management planning is important in Land-based aquaculture system case. In this paper master production planning was made to decide the number of rearing, production schedule and efficient allocation of water resources considering biological and economic condition. The purpose of this article is to build the mathematical decision making model that finds the value of decision variable to maximize profit under the constraints. Stocking and harvesting decisions that are made by master production planning are affected by the price system, feed cost, labour cost, power cost and investment cost. To solve the proposed mathematical model, heuristic search algorithm is proposed. The model Input variables are (1) the fish price (2) the fish growth rate (3) critical standing corp (4) labour cost (5) power cost (6) feed coefficient (7) fixed cost. The model outputs are (1) number of rearing fish (2) sales price (3) efficient allocation of water pool.

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.

본 논문은 (1 : 1 : N) 재고모형에 대한 복수제품의 순환생산 및 배송 일정계획을 수립하는 연구를 수행하였다. 세부적으로 공급자가 원자재를 생산자에게 배송하면, 생산자는 순환생산방식을 활용하여 복수의 제품을 생산하여 N 구매자에게 배송하는 상황을 고려하고 있다. 본 연구의 목적은 공급자, 생산자, 구매자를 포함하는 시스템 전체의 비용을 최소화하는 계획을 수립하는 것이다. 최적해가 가지는 몇 가지 특성들을 분석하고, 이를 통해서 단계적인 휴리스틱 절

This dissertation showcase study of production planning software development for Small and Medium sized Business (SMB). Currently, most of the domestic SMB’s production planning is being established by experienced manager’s intuition. Therefore, the production planning is usually managed by hand written data or established by impromptu process based on years of experience. Under such circumstances, production planning tends to be change frequently and, as a result, it is hard to meet On Time Delivery or to make Capable to Promise that customer asked for when they make order. This dissertation depicts the effectiveness of establishing specific production planning by applying software based on the project which had been implemented for an water tank manufacturing company, Z. The production planning by applying software which is presented in this research, enhanced work efficiency by making possible to share production information between marketing and production managing teams or within team members based on reliable planning. In addition to this, it made possible to have more orders from customers by presenting Capable to Promise schedule.

S plastic injection molding factory located at Namdong Industrial Complex in Incheon produces plastic parts for semiconductor, vacuum cleaners, office furniture, etc. It produces the parts to customers’ order and delivers them directly to customers at due

논문은 혼합정수계획법(MIP)을 통하여 다품종 제조 시스템을 위한 생산계획수립 방안에 대하 여 연구하였다. 특히 자동차 부품 제조 기업의 다양한 제조 품목에 대한 수요 변화에 따라 Rolling Horizon 방식으로 생산계획을 수립하도록 함으로써, 수요 변화에 능동적으로 대응하면서 도 한정된 기업의 생산 능력을 최대한 활용하고 생산 비용을 최소화하는 최적 생산계획을 수립하 여 실제로 기업에서 활용할 수 있도록 하는 사례를 연구하였다.

In an environment of global competition, the success of a manufacturing corporation is directly related to bow it plans and executes production in particular as well as to the optimization level of its process in general. This paper proposes a production

Recently, a multi-facility, multi-product and multi-period industrial production-distribution planning problem has been widely investigated in Supply Chain Management (SCM). One of the key issues in the current SCM research area involves reducing both production and distribution costs. We have developed an optimization model to tackle the above problems under the restricted conditions such as transportation time and a zero inventory. Computational experiments using commercial tool Ms-Excel Solver show that the real size problems we encountered can be solved in reasonable time. The model can be used to decide an appropriate production-distribution planning problem in SCM research area.

As competition in manufacturing enterprise is contested, the scope of safely production planning, manufacturing enterprise should ensure, has been reduced. The more upstream of SCM, the more reduction of scope of production planning. As a result, order fluctuation is more sharply contested. Through improving the logistics network, it is best way that the end user's demand information is conveyed to upstream of SCM, but it is difficult in fact. In this paper, it mention the way of robustic adjustment, in the suppliers' point of view, the end user's demand information is dammed up, as they postpone responding the customer's order as a possible. And it will show the result of appling the way, as a case study.

In case of domestic automobile manufacturers introducing and running a make-to-order production system, JIT system is to provide a necessary number of components at a right place in time which is a specific supply chain management, is different from other occupations. This study is for establishing a efficient production planning and finding a management method to correspond with a manufacturing system and diversified supply chain management and building an information system to support it. For this, we analyze the relevant business process and utilize various informations occur in supply chain of domestic automobile components manufacturer. It will contribute to not only reliability improvement of production management system but also satisfaction for due date of products.

In this regard, the newly focused logistics information system makes reducing the expenses of whole logistic available by cutting down the expenses of materials, transportation and stock and also, it allows the company to cut down the procurement expense through the reduced lead-time and rationalize producing plans by eliminating the uncertain orders and fluctuation in procurement. It further more optimizes the efficiency of over all productions by meeting the dead line for delivery to the customers. In the recent environment of globalization where fierce competitions exist between manufacturers, logistics plays important role in the strategies of companies, and managements of companies try their best efforts in establishing the strategy to accomplish the innovative relationship between supply chain channels. Therefore, in this study, we try to suggest the model of consolidated logistics system that is integrated logistics information system with suggesting the better way of logistics and comparative analysis with logistics system to resolve the difficulties numbers of companies face after realizing what logistics information system is in Korea.