• Journal of the Korean Society for Precision Engineering
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• v.20 no.9
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• pp.7-12
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• 2003

• Proceedings of the Korean Vacuum Society Conference
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• 2007.08a
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• pp.285-285
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• 2007

• Proceedings of the Korean Vacuum Society Conference
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• 2007.08a
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• pp.264-264
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• 2007

• Proceedings of the Korean Vacuum Society Conference
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• 2007.08a
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• pp.269-269
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• 2007

• Proceedings of the Materials Research Society of Korea Conference
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• 2008.05a
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• pp.23.2-23.2
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• 2008

• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.27-36
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• 1996

The objective of this paper is to outline an integrated cellular manufacturing system (ICMS) which integrates process planning and scheduling in the cellular manufacturing environment. It combines design systems with manufacturing systems in batch production. Furthermore, it is developed to overcome the difficulties that exist in the current manufacturing practices.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.808-813
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• 2003

Maintaining agility and responsiveness m designing and manufacturing activities are the key issues for manufacturing companies to cope with global competition. Distributed design and control systems are regarded as an efficient solution for agility and responsiveness. However, distributed nature of a manufacturing system complicates production activities such as design, simulation, scheduling, and execution control. Especially, existing simulation systems have limited external integration capabilities, which make it difficult to implement complex control mechanisms for the distributed manufacturing systems. Moreover, integration and coupling of heterogeneous components and models are commonly required for the simulation of complex distributed systems. In this paper, a collaborative and adaptive simulation architecture is proposed as an open framework for simulation and analysis of the distributed manufacturing enterprises. By incorporating agents with their distributed characteristics of autonomy, intelligence, and goal-driven behavior, the proposed agent-based simulation architecture can be easily adapted to support the agile and distributed manufacturing systems. The architecture supports the coordination and cooperation relations, and provides a communication middleware among the participants in simulation.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 1998.10a
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• pp.519-533
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• 1998

Under competitive situation , many small manufacturing companies know that building effective information systems is the best way to get a competition. Therefore . lots of these companies are getting under way of building information systems. But they are having trouble building information systems because of many diffifcult factors like money technologies, education. Comparing to large firms , small manufacturing compaines are short of money and technology to get informatin systems. Considering of the difficulties of small manufacturing companies, organization supporting these companies will be able to play an important role to suggest the guideline to success of getting information systems. Many supporting organizations have instituted a scheme in which they can get valuable information relating to building information systems. This paper is focusing on the role of supporting organizations for information systems of small manufacturing companies. This study finds out what the difficulties of these companies trying to build information systems are and suggests the supporting ways of getting effective information systems.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.6
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• pp.555-567
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• 2014

Over 40 years, the domestic manufacturing industry of Korea played the vital role in creating national wealth, employment and innovation in its economy. In 2011, industrial products made up 99.7 percent of exports, and formed 31.2 percent of GDP. Given those facts, the research of manufacturing systems engineering for higher manufacturing efficiency and its industrial applications have been essential for Korea's economic growth. In this paper, for celebrating the 40th anniversary of the foundation of Korea institute of industrial engineers (KIIE), the research results and its industrial applications of KIIE are reviewed and summarized in the area of manufacturing systems engineering over past 40 years. Directions of future manufacturing system and the role of industrial engineers for our continuous economic growth are also mentioned.

• Industrial Engineering and Management Systems
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• v.11 no.4
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• pp.310-330
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• 2012

Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.