• 대한산업공학회지
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• 제11권2호
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• pp.47-56
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• 1985

This paper considers a two-product three-facility production planning model, where facility 1 produces product 1 to satisfy its own market requirements and supplies input to facility 2, and facility 2 requires another input from facility 3 (outside supplier). The objective is to determine the optimal production amount in each period in order to satisfy the dynamic demands on time, which minimizes the total cost of production and storage. The set-up cost is incurred jointly from the multi-facility operations.

• 산업공학
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• 제15권4호
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• pp.325-337
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• 2002

In this study we consider the problem of production planning of TFT-LCD(Thin Film Transistor - Liquid Crystal Display) production factory. Due to the complexities of the TFT-LCD production processes, it is difficult to schedule the production planning, and the study about automated scheduler is insufficient. In addition, the existing production method is a Push-System to raise the operation rate with expensive equipment, that has the problem to satisfy the due-date. This study presents an algorithm having a concept of Pull-System that satisfies the due-date and considers specialties of TFT-LCD production process. We make MPS(Master Production Schedule) according to the sales order, and present algorithms for scheduling about In/Out plan considering factory capacity, line balancing, material requirement, and inventory level of all Array, Cell, and Module processes. These algorithms are integrated as an automated production system, and we implement them in the actual TFT-LCD factory circumstance.

• 산업공학
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• 제7권3호
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• pp.39-51
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• 1994

A CIM implementation case is introduced in this paper. It is accomplished through the integration of two fundamental approaches to production planning and control; JIT and MRP. The resultant system is a hybrid where some JIT methodologies prevail, but the benefits of the MRP are also required. A new BOM structure called 'Family-BOM' is designed for the load leveled production with small lot size and the synchronized production. The overall production planning concept is described with actual data.

• 한국해양공학회지
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• 제18권3호
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• pp.26-31
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• 2004

This paper presents a process planning system that will generate and verify assembly sequences of block assemblies. It consists of a CAD interface system and an assembly sequence planning system. In developing this system, we used an open architecture CAD kernel for the CAD interface system, for visualizing the CAD model and the assembly sequences, and an expert system shell for the assembly sequence planning system. This paper also proposes a framework for the integration of all the steps required to automate the procedures, from design to production. The process planning system is demonstrated by a simple example.

• 한국전자거래학회지
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• 제7권2호
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• pp.143-156
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• 2002

The objective of supply chain planning is to satisfy the requirements for minimizing inventory costs, transportation costs, and lead times throughout the supply, production and distribution stage dispersed geographically. Therefore, the supply chain planning system should have functionalities to resolve complex optimization problems that have characteristics of multi-stage and multi-product. Ant the system should also support collaborative decision making among distributed business partners. In this study, we proposed a distributed architecture for the supply chain planning system. To do this, we analyzed functional requirements by using IDEF-0(ICAM Definition-0) methodology, defined required components, and designed each component by using object-oriented methodology. We implemented a prototype system based on CORBA (Common Object Request Broker Architecture) to show that the proposed distributed architecture based on component technology is feasible and can solve supply chain planning problem collaboratively.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2006년도 추계공동학술대회
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• pp.193-200
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• 2006

In case of domestic automobile manufacturers introduce and run a order production method, JIT system is to provide a necessary number of components for a right place timely 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, 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.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.643-648
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• 2005

The planning process for roadway construction involves a large amount of information on design, construction methods, quantities, unit costs, production rates, and site conditions. Therefore, it is very important to acquire, manage, and process the necessary information efficiently to produce a rigorous construction plan. GIS (Geographic Information System) is a very effective tool for integrating and managing various types of information including spatial and non-spatial data required for roadway construction planning. This paper proposes a GIS-based system for improving roadway construction planning with its 'Interactive Space Scheduling' and 'Operation Level Planning' functions. The proposed system can assist construction planners in a unique way by integrating design and construction information and creating modularized design elements for space scheduling in real time. It is expected that the proposed system could improve the efficiency of roadway construction planning.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2002년도 e-Biz World Conference
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• pp.107-131
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• 2002

최근 제조산업에 있어 다품종, 소량화하는 생산환경과 생산이라는 기능 이외의 판매, 기술 개발 등의 부분을 컴퓨터 네트워크로 결합하여 전반적인 기업 활동의 종합적인 효율화가 중요한 문제로 대두되고 있다. 이러한 요구에 의해 통합 생산정보시스템이 발전하였고 각종 산업제품의 치열한 국제경쟁에 따른 생산시스템 및 마케팅의 세계화는 이러한 변화에 대처하는 지능형 생산시스템(IMS : Intelligent Manufacturing System) 체계를 필요로 하게 되었다. 따라서, 본 연구에서는 이러한 IMS를 효율적으로 구축하기 위해 제조분야의 정보시스템에 대한 분석과 문제점 및 발전방안을 알아보고, 효율적인 제조 정보시스템 구축에 있어서 필수적인 정보화 전략계획의 체계적인 수립 방안으로 각 정보화 전략계획 수립 단계별 절차와 산출물 그리고 산출물의 통합관리에 대한 체계를 개발하였다. 또한, 정보화 전락계획의 효율적 적용을 위해 각 단계별 상세한 체계설계와 Template를 제시하여 IMS를 효율적으로 지원하는 정보화 전략계획 수립 방안을 제시하였다.

• Industrial Engineering and Management Systems
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• 제7권1호
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• pp.57-65
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• 2008

Available-to-promise (ATP) exhibiting availability of manufacturing resources can be used to support customer order promising. Recently, one advanced function called Capable-to-promise (CTP) is provided by several modern APS (advanced planning system) that checks available capacity for placing new production orders or increasing already scheduled production orders. At the customer enquiry stage while considering the order delivery date and quantity to quote, both ATP and CTP are allocated to support order promising. In particular, current trends of mass customization and multi-side production chain derive several new constraints that should be considered when ATP/CTP allocation planning for order promising - such as customer's preference plants or material vendors, material compatibility, etc. Moreover, ATP/CTP allocation planning would be executed over a rolling time horizon. To utilize capacity and material manufacturing resource flexibly and fulfill more customer orders, ATP/CTP rolling planning should possess resource reallocation mechanism under the constraints of order quantities and delivery dates for all previous order promising. Therefore, to enhance order promising with reliability and flexibility to reallocate manufacturing resource, the ATP/CTP reallocation planning mechanism is needed in order to reallocate material and capacity resource for fulfilling all previous promised and new customer orders beneficially with considering new derived material and capacity constraints.

• 대한산업공학회지
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• 제16권1호
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• pp.123-135
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• 1990

An extensive survey is carried out on the applications of AI (Artificial Intelligence) and ES (Expert System) in mathematical programming and simulation, which are the most frequently used tools in production planning. A scheduling field is also reviewed. The scheduling problem is one of the most attractive area for AI and ES researchers, since any practical algorithmic solution methods are not available. The current practice and difficulty of applying AI and ES to production planning are discussed and future research directions are identified.