• Proceedings of the Safety Management and Science Conference
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• 2004.11a
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• pp.81-85
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• 2004

Companies adopted a program called Six Sigma, in order to make fundamental changes in the way the company operated to fulfill customers' expectations. Six Sigma reduces the occurrence of defects. This approach derives the overall process of selection the right projects based on their potential to improve performance metrics and selection and training the right people to get the business results. However, in the course of Six Sigma process steps, companies are in the face of problems. This study is to solve the problems using TP(Thinking Process) of TOC(Theory of Constraints). TOC is methodology for solving key problem in system which is called Constraints. Nowadays, its application is going to be wide and its concept is being implemented. In this paper, it is showed possibility of application TOC to Six Sigma.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.25-33
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• 2012

Ptak & Smith published ORLICKY'S Material Requirement Planning Third Edition in 2011 to correspond the rapidly changed market demand by improving the original MRP based on Theory of Constraints(TOC) replenishment inventory management. This study is to develop the simulation model to decide the proper target inventory level for TOC replenishment inventory management using system dynamics Vensim software. This study shows that the proper target replenishment level is how much significant to manage the inventory by the random sample data simulation. This simulation model will be extended to compare the results of the TOC replenishment inventory management planning with the results of the old MRP planning by the enterprise actual inventory data.

• International Journal of Quality Innovation
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• v.10 no.1
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• pp.53-76
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• 2009

As the flourish of today's supply chain, the traditional model of replenishment will cause accumulation of excessive inventory to the retailers and customers, or cause shortages and inability to meet the demands. To solve this problem, Theory of Constraints (TOC) proposed the replenishment model of demand-pull, combined with the establishment of factory-ware-house to achieve performance improvement. In the absence of empirical research, this study applied the Bean Game developed by Dr. Goldratt to design a supply chain system for different scenarios, in order to allow players and managers better understanding and supporting the TOC replenishment method through the operations of the game.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.22-33
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• 2018

Recently domestic manufacturing companies have been experiencing worsening profitability and stunted growth due to the long-term economic recession and the rapid rise of developing countries such as China and Southeast Asia. These difficulties force many companies to concentrate their core competencies on new value creation and innovation in order to gain momentum for new growth. Enterprise Resource Planning (ERP) has been considered as one of viable solutions. Among the various modules in ERP, shop floor control function in the production management module is rather limited. In order to overcome this problem, Manufacturing Execution System (MES) has been used as a subsystem which has a strong information gathering power and flexibility. Both systems interact closely with each other. In particular, ERP requires fast, accurate shop floor information at MES. This paper describes how to synchronize relevant information between ERP and MES with theory of constraints (TOC). The processing time information transmitted from the MES workplace is received at the ERP workplace. In the process, the received processing time is causing information distortion in ERP, when the information gathering standard of MES is different from the ERP information interpretation standard. The Drum-Buffer-Rope theory of TOC was applied to resolve this problem, therefore, information synchronization between both systems was made. As a precondition, the standard time of the upper ERP system was rearranged according to the capacity constraints resource. As a result, standard time restructuring has affected changes in labor costs. Standard labor costs have come close to actual ones, and information synchronization of MES transmission data has improved the reliability of standard product costs, such that it enabled various company-wide restructuring actions to be much more effective.

• Korea Journal of Hospital Management
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• v.16 no.1
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• pp.77-100
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• 2011

The purpose of this study is to the improvement of general hospital outpatients waiting time using Theory Of Constraints(TOC) methodology and to the development of a Reception Desk in general hospital. This study is to provide decision-making guidelines for hospital managers and to provide feedback for the efficiency of job process. The target people of the study are outpatients and Cashiers on Chungnam national university hospital in Daejeon. The methods of study are summarized as follows. First, The team managers from a Reception Desk group were appointed. This team managers have the adjustment authority to the Outpatients schedule of doctor and Cashier members. Second, The consolidation of the general Reception desk and special inspection the Reception Desk. A movement line and waiting time of patients were simple and fast to accept. As a result of study, it shows that the TOC is the method for a job process and waiting time improvement, patients' satisfaction increase and we need an objective measurement indexes in the medical treatment industry.

• The Journal of Information Systems
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• v.15 no.1
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• pp.169-189
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• 2006

Recently, many companies are trying to survive in a competitive business environment and they employ various kinds of information systems. Business Process Management (BPM) system is a software system that integrated enterprise information systems based on processes, which is considered an essential element for managing inner and outer processes. Though the BPM system has been applied to major processes only so far, companies begin to extends target processes applied into enterprise wide. In such settings, not only exact but also efficient management of processes is required. The efficiency of BPM has two perspectives: one is the performance of users that handle assigned tasks, and the other is the performance of the Business Process (BP) engine that carries out execution of processes. In this paper, in order to deal with the seconde perspective, we develop Drum, Buffer, and Rope (DBR) method, which have been considered innovative Theory of Constraint (TOC) method in manufacturing domain, for efficient management of processes. A new method, BP-DBR, has been developed, and we show that it is effective for business processes. The effectiveness of the method has been proved in terms of efficiency measures such as average process completion time and average number of completed processes, through a series of simulations on real banking processes.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.37 no.4
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• pp.162-167
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• 2014

This study is to solve the public education's dilemma between the standardized education to maximize learning efficiency and the personalized education to maximize learning effectiveness, using the paradox management process. The process is based on combining the TOC (Theory Of Constraints) and TRIZ (Russian Theory of Inventive Problem Solving), which is a creative way of thinking to draw the synergic effect by pursuing simultaneously the conflicting elements. Through this research, a new concept of learning method can be suggested on a public course. Further research should be performed to develop a learning guideline based on the students' empirical study results.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1255-1263
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• 2006

산업사회와 소비자는 갈수록 소량 다품종과 빠른 Delivery를 요구하고 있다. 생산라인은 급격히 자동화되어 가면서 기존의 단순한 Cost 구조에서 복잡한 Cost 구조로 심화될 뿐만 아니라 제조간접비용의 중요성도 점차 이슈화 되어 가고 있으며 시장에서의 경쟁은 갈수록 치열해 짐에 따라 판매비, 광고비 등의 부담도 점차 증가되고 있다고 하겠다. 이러한 시점에 세계 유수한 기업들은 Six Sigma 품질 혁신 활동을 통해 그들에 절대적인 부담이 되고 있는 비용의 절감뿐 아니라 품질 향상을 통한 고객 만족을 이끌어 내고 있다. 본 연구는 Six Sigma 품질 혁신 활동과 제약경영이론(Theory of Constraint)의 조합을 통한 시너지 효과로 생산 라인의 생산성 향상을 성공적으로 이끌어 낸 사례를 제시하고 있다. 즉, 본 연구의 목적은 Six Sigma 경영 혁신활동과 TOC 이론의 조합을 통해 생산 라인의 생산성 향상을 극대화 하고자 하는데 있다고 하겠다. 이를 위해 개선 활동의 프로세스 진행은 Six Sigma 활동의 DMAIC 프로세스를 따랐으며 세부 단계에서의 개선 아이디어를 발굴하기 위하여 Thinking Process를 적용하였다.

• IE interfaces
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• v.14 no.4
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• pp.356-364
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• 2001

Production Improvement Method in TOC consists of five steps, but it is very difficult for most firms to implement it because it lacks the detailed methods at each step. This paper suggests some of detailed methods to implement the TOC. In the first step, computer simulation is used to identify the constraints in production lines. Subsequently, ASP, AUT, and CM calculation are defined for the second step, which are helpful to exploit the company's constraints. We also suggest the OEE method to effectively exploit the constraints of production lines in the factory. Finally the TOC/OEE procedure is suggested to optimize the investment in the fourth step. As an illustrative example, we introduce a case of a wafer manufacturer to adopt the suggested methods. The benefits of implementating the suggested methods are addressed in the framework of the balanced scorecard.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2935-2944
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• 2009

This paper proposes Dual DBR(Drum-Buffer-Rope) system for a small-to-medium-sized PCB(Printed Circuit Board) manufacturing line. DBR method of TOC(Theory of Constraints) is an effective system for a small-to-medium-sized company to build production scheduling system. But to apply it to PCB line, it needs more technical consideration because of multiple constraints, looping process line and complex buffer management. This paper proposes an answer of these problems using Dual DBR to build production scheduling system more successfully. And it was confirmed that lead time was reduced more than 20% applying Dual DBR system to a domestic PCB manufacturing line actually.