Today’s manufacturers must respond quickly to customer needs. In particular, make-to-order companies are constantly striving to satisfy customer demand for products in order to secure more favorable conditions in the future through bidding. In this bidding process, quotations play a very important role in providing favorable conditions. And the most important content that companies strive to satisfy their customers is the product's performance. Therefore, a company can attract customers and secure economic profits through good quotations, but it can be said that the first priority is to match the performance of the products requested by the customers. That is, when a company creates a quotation, it is important to structure the quotation according to the performance of the product. Thus, this paper intends to present a quotation management framework and a quotation BOM information model for constructing quotations efficiently in make-to-order manufacturing. And, in order to prove the usefulness of the proposed quotation management framework, we presents an case of the construction of an quotation management system based on the JAVA platform. As a result, the integrated quotation management system based on the proposed quotation management framework and quotation BOM has been successfully operated in a make-to-order company that manufactures marine engines.

MTO (Make to Order) is a manufacturing process in which manufacturing starts only after a customer’s order is received. Manufacturing after receiving customer’s orders means to start a pull-type supply chain operation because manufacturing is performed when demand is confirmed, i.e. being pulled by demand (The opposite business model is to manufacture products for stock MTS (Make to Stock), which is push-type production). There are also BTO (Build to Order) and ATO (Assemble To Order) in which assembly starts according to demand. Lean manufacturing by MTO is very efficient system. Nevertheless, the process industry, generally, which has a high fixed cost burden due to large-scale investment is suitable for mass production of small pieces or ‘mass customization’ defined recently. The process industry produces large quantities at one time because of the lack of manufacturing flexibility due to long time for model change or job change, and high loss during line-down (shutdown). As a result, it has a lot of inventory and costs are increased. In order to reduce the cost due to the characteristics of the process industry, which has a high fixed cost per hour, it operates a stock production system in which it is made and sold regardless of the order of the customer. Therefore, in a business environment where the external environment changes greatly, the inventory is not sold and it becomes obsolete. As a result, the company’s costs increase, profits fall, and it make more difficult to survive in the competition.Based on the customer’s order, we have built a new method for order system to meet the characteristics of the process industry by producing it as a high-profitable model. The design elements are designed by deriving the functions to satisfy the Y by collecting the internal and external VOC (voice of customer), and the design elements are verified through the conversion function. And the Y is satisfied through the pilot test verified and supplemented. By operating this make to order system, we have reduced bad inventories, lowered costs, and improved lead time in terms of delivery competitiveness. Make to order system in the process industry is effective for the display glass industry, for example, B and C groups which are non-flagship models, have confirmed that the line is down when there is no order, and A group which is flagship model, have confirmed stock production when there is no order.

In manufacturing companies, engineering information is a central data which defines a product to be produced. This is changed by various factors such as changes of product configuration, changes of drawings information of a technology's licensor, etc, and

  Ultra-high voltage transformer industry has characteristic of small quantity batch production system by other order processing unlike general mass production systems. In this industry, observance of time deadline is very important in market competitive

  Nowadays, customer-oriented manufacturing enterprises such as airplane, ship, ship engine, etc are knowledge-intensive and higher added value industries. In these companies, to quickly respond customer’s order, a quotation management is a very important

진동 수주형 파력 발전 브이는 해상에 설치되는 시스템으로 내부 지름 및 내부 유입 저항에 의하여 출력이 결정된다. 해상에 설치되는 진동 수주의 경우 내부에 패류의 증착에 의하여 내부 지름이 줄어들게 된다. 또한 패류의 증착에 의하여 유입되는 해수의 저항이 증가하게 되어 파력 발전 효율을 급감시킨다. 본 논문에서는 AFS을 이용하여 해양 구조물에 패류의 증착을 억제하는 실험을 수행하였다. Buck converter를 이용하여 전극봉에 흐르는 전류량을 제어하였다. 또한 기존 선박의 AFS와 달리 해양 구조물에 적합한 AFS제어 알고리즘을 개발하였다. 실험 결과 AFS을 통하여 조류 증착을 방지할 수 있음을 확인하였다.

원료 콩에서의 초기미생물 제어방법에 따른 효과와 살수온도조건에 따른 콩나물의 생육특성 및 수율향상에 대한 결과는 다음과 같다. 1. 콩나물 재배시 초기 미생물 제어방안으로 실시된 열탕살균, 염소, 이온수, 오존수 등의 방법중 열수를 이용한 열탕살균법(1차 예열 40℃ , 2차 열탕 70℃ , 3차 냉각 20℃ 각 30초)이 가장 효과가 좋았다. 열탕살균법은 초기 발아율 향상과 생육기간중 미생물 억제효과가 양호하여 재배완료 후 부패감소(미생물 102 감소) 및 수율향상, 선도유지가 관행의 방법에 비해 2일정도 향상되었다. 2. 콩나물 재배수온에는 재배완료까지 동일수온(18.5 ± 0.5℃ )을 적용하는 방법과 재배일차별 수온을 다르게 하는 3-stage방법 등이 있다. 3-stage방법의 특징은 초기발아시간 단축(약 4시간정도)과 재배일차별 수온을 다르게 하는 즉, 2-3일차(침지시간 제외)에는 21± 1℃ , 4-5일차에는 18.5± 0.5℃ , 6-7일차에는 17.0± 0.5℃ 로. 재배수온을 달리하는 방법이며, 3-stage 방법을 적용하면 초기생육이 양호하여 미생물에 대한 저항력이 높게 되고, 재배 중, 후기에는 생육을 제어하게 되어 규격품의 콩나물(길이 8-9cm, 두께 2.15-2.30mm)과 좋은 색택의 콩나물 생산이 가능하며 수율도 약 6%향상되었다