• Korean Journal of Construction Engineering and Management
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• v.2 no.4 s.8
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• pp.48-61
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• 2001

This study aims at improving work reliability. It proposes a way to overcome the limitations of current scheduling methods by providing a new framework, CPAM(Construction Process Analysis Model) based on the lean principles. It suggests methods which improve work reliability and production effectiveness with variability control methods. Also it suggests methods which reduce inventories of materials and equipment and WIP(Work In Process) using two techniques; Lookahead Schedule and Weekly Work Plan. The contribution of this research also includes that it assumes planning as a process of reducing uncertainty and maximizing throughput, counter-posing plan reliability to resource redundancy as alternative strategies for managing in conditions of uncertain work flow.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.5
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• pp.802-807
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• 2022

In projects where mufti-project management is required and processes for production activities are repeated and linked, it is very difficult to input processes for activity repeatedly or analyze loads by process in a method of managing processes step by step. In this paper, based on the definition of activity and project process, the connection process can be automatically created for activity, schedule and resource management for each process, schedule and resource plan can be established for each detailed process, and load analysis can be provided in real time. It presents a project management system that can significantly improve the time and cost of project progress management, predict various problems that may occur during the project, and effectively allocate the necessary amount of resources in the right place.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.73-83
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• 2011

In the manufacturing system, production-planning is very important in effective management for expensive production facilities and machineries. To enhance efficiency of Manufacturing Execution System(MES), a manufacturing system that reduces the difference between planning and execution, certain production-planning needs a dispatching rule that is properly designed for characteristic of work information and there should be a appropriate selection for the rule as well. Therefore, in this paper dispatching rule will be selected by several simulations based on characteristics of work information derived from process planning data. By constructing information that are from simulation into ontology, one of the knowledge-based-reasoning, production planning platform based on the selection of dispatching rule will be demonstrated. The platform has strength in its wider usage that is not limited to where it is applied. To demonstrate the platform, RacerPro and Prot$\acute{e}$g$\acute{e}$ are used in parts of ontology reasoning, and JAVA and FlexChart were applied for production-planning simulation.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.603-606
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• 2004

본 연구는 반도체 검사공정 중의 하나인 MBT 공정의 Rework 투입정책에 관한 연구이다. MBT 공정에서는 제품의 신뢰성과는 상관없이 설비오류로 인한 불량품이 다량으로 발생한다. 이러한 불량품을 MBT 공정의 재검사 작업인 Rework을 통해 양품으로 전환하게 된다. MBT 공정의 Rework은 FAB 공정 이후의 많은 공정을 거치지 않고 단일공정 진행으로 새로운 양품을 얻을 수 있는 이점을 가진다. 반면에 Rework 비용 및 공정재고비용이 발생하는 특징이 있다. 현재 MBT 공정의 Rework 작업은 정해진 규칙 없이 작업자 경험에 의존하여 진행하며, 제품의 중요도 및 재고량에 따라 투입이 정해진다. 또한 주문 작업의 투입일정과 납기를 고려하지 않은 Rework 작업으로 인해 납기차질이 발생하기도 한다. 본 연구에서는 Rework 작업이 생산계획에 영향을 주지 않는 범위 안에서의 투입계획을 제안한다. 또한 MBT 공정의 Rework 이익인 제조원가 절감이익과 비용인 Rework 비용, 재고비용을 고려한 Rework 제품 투입정책을 제안한다.

• Korean Journal of Construction Engineering and Management
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• v.4 no.1 s.13
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• pp.106-113
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• 2003

In this study, The matrix method was used with common category concept according to the construction project control system. For the purpose of systematic resource management planning, it should be established on accomplished EVM data for clearing the ordering point according to the attribute procurement analysis. Resource management was presented by connecting the material requirement calculation method and the attribute of procurement method based on the EVM, suggested through analyzing process-data modeling using integrated schedule, cost and material.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.19-33
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• 2019

Recently, manufacturers have been struggling to efficiently use production equipment as their production methods become more sophisticated and complex. Typical factors hindering the efficiency of the manufacturing process include setup cost due to job change. Especially, in the process of using expensive production equipment such as semiconductor / LCD process, efficient use of equipment is very important. Balancing the tradeoff between meeting the deadline and minimizing setup cost incurred by changes of work type is crucial planning task. In this study, we developed a scheduling model to achieve the goal of minimizing the duedate and setup costs by using reinforcement learning in parallel machines with duedate and work preparation costs. The proposed model is a Deep Q-Network (DQN) scheduling model and is a reinforcement learning-based model. To validate the effectiveness of our proposed model, we compared it against the heuristic model and DNN(deep neural network) based model. It was confirmed that our proposed DQN method causes less due date violation and setup costs than the benchmark methods.

• Korean Journal of Construction Engineering and Management
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• v.8 no.1 s.35
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• pp.124-131
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• 2007

Project management means usually managing the rate of construction progress. But it also contains preparing scheme of execution and establishing plan for equipment, material, labor force to finish project within expected duration. In this paper to establish effective project planning a road pavement operation is selected as a case and simulation method is used for analyzing it. Next probability distributions are created after analyzing collected data and these are reflected in simulation model. Simulated result is compared with real project planning using models of lean concrete pavement process and concrete slab pavement process to verify efficiency of this model. In the event we know that project planning using simulation is more effective than one of the field in the aspects of duration and cost. Meanwhile simulated result in this paper has a limitation in accuracy because various constraints of filed are not reflected in it. However if we reflect this constraints in model through examining field in future this limitation is expected to be improved.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.10
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• pp.75-84
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• 1997

This paper describes the development of an integrating method for process planning and scheduling activities for block assembly in shipbuilding. A block is composed of several steel plates and steel sections with the predetermined shapes according to the ship design. The parts which constitute the block are manufac- tured by cutting and/or bending operations, which are termed as machining operation in this paper. The machining operation is the first process for block assembly which influences the remaining block assembly processes. Thus process planning and scheduling for machining operation to manufacture parts for block are very important to meet the assembly schedule in the shipyard. An integrating method for process plan- ning and scheduling is developed by introducing the concept of distributed process planning and scheduling composed of initial planning, alternative planning and final planning stages. In initial planning stage, nesting parts information and machining emthods are generated for each steel plate. In alternative plan- ning stage, machine groups are selected and workcenter dispatching information is generated. In final planning stage, cutting sequences are determined. The integrated system is tested by case study. The result shows that the integrated system is more efficient than existing manual planning system.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.210-215
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• 2004

In can occur to many problems on progressing step without close scope definition, interrelation definition between activities, resource plan, and schedule plan on planning step. But it have not closely defined performance system on planning step because of many constraints of domestic construction industry. Therefore this paper intends to discuss a method of calculating optimal cost and duration using Linear Programming that solves maximing or minimizing problems among decision making methodology and Monte Carlo Simulation that decreases to probability errors. With outcoms applying Linear programming and Monte Carlo Simulation for calculating optimal cost and duration, follow as : With outcomes applying Monte Carlo Simulation, it could calculate reliable estimator about project duration through removing various constraints. With outcomes applying Linear programming, it could calculate optimal value about project cost through defining various variables and constraints on many activities.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.425-428
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• 2005

본 연구는 건설장비 차량 조립부품을 제작하는 가공공장의 계획 및 운영 시스템 개발에 대한 내용이다. 연구의 대상은 건설장비 차량인 굴삭기, 휠로더, 지게차의 조립부품을 제작하는 공장으로 제작품별 제작라인이 구성되어 있다. 그리고 각 제작라인에는 여러 개의 공정이 있으며, 일부 공정은 작업자에 의해 작업이 이루어지고, 용접 및 가공 등은 자동화된 장비 및 설비에 의해 작업이 된다. 가공공장에서 관리 및 운영의 주요 관점은 이후 공정인 조립공장의 조립 착수일에 늦지 않게 제작된 부품을 공급하는 것이다. 그리고 공장 자체적으로 제작라인 내의 재공재고 감소, 작업일간 작업부하평준화, 자동화 장비 및 설비의 효율 극대화 등이 공장의 주요 관리 사항이다. 따라서 본 연구에서는 가공공장에서 제작되는 조립부품의 납기일 준수, 재고 감소, 부하 평준화, 장비효율의 극대화를 위해 공장을 체계적으로 관리하기 위한 계획 및 운영 시스템을 개발하였다. 개발시스템에는 제작라인별 제작 착수 및 자재발주${\cdot}$입고 관리, 공정별 실적관리, 실시간 작업 진행 관리, 용접 불량 관리 기능 등이 있다. 시스템은 MSSQL 서버, 오라클과 Visual Basic, Visual C# ASP로 개발되었다.