• Title/Summary/Keyword: Manufacturing Resources

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Construction and Applications of the Virtual Automotive Plant for a Victual Manufacturing (가상생산기술 적용을 위한 자동차 가상플랜트 구축 및 활용)

  • No, Sang-Do;Lee, Gyo-Il;Son, Chang-Yeong;Han, Hyeong-Sang;Park, Yeong-Jin
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.25 no.10
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    • pp.1627-1635
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    • 2001
  • Virtual manufacturing is a technology facilitating effective development and agile manufacturing of products via sophisticated computer models representing physical and logical schema and behavior of real manufacturing systems including manufacturing resources, environments, and products. For the successful application of this technology, a virtual plant as a well-designed and integrated environment is essential fur sharing information and engineering collaboration among diverse engineering activities. The systematic approaches and effective methods for construction and application of a virtual plant are proposed in this paper, such as a 3-D CAD modeling, cell and line simulations, databases and some information technologies. Measuring and 3-D CAD modeling technologies of many equipments, facilities and structures of the building are developed, and effective information management system managing CAD models, related files and data is implemented in WWW environments. Finally, precise simulations of unit cell lines and the whole plant are performed. For the beginning of implementing a Virtual Automotive Plant, the Virtual Plant fur the Body Shop of a Korean automotive company is constructed and implemented. We could obtain the benefit of savings in time and cost in many manufacturing preparation activities in the new car development processes.

Hierarchical Constructions of Digital Virtual Factory and its Management (디지털 가상공장의 계층적 구축과 운영에 관한 연구)

  • Kim Yu-Seok;Noh Sang-Do;Hah Sang-Dong;Shin Jong-Gye
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.960-964
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    • 2005
  • Digital Virtual Manufacturing is a technology to facilitate effective product developments and agile productions by digital models representing the physical and logical schema and the behavior of real manufacturing systems including products, process, manufacturing resources and plants. A digital virtual factory as a well-designed and integrated environment is essential for successful applications of this technology. In this research, we constructed a sophisticated digital virtual factory of the shipbuilding company's section steel shop by 3-D CAD and virtual manufacturing simulation. This digital virtual factory can be applied for diverse engineering activities in design, manufacturing and control of the real factory.

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Virtual Manufacturing for an Automotive Company(III) - Construction and Operation of a Virtual Paint Shop (자동차 가상생산 기술 적용(III) - 가상 도장공장구축 및 운영)

  • Noh, Sang-Do;Kim, Duck-Young;Park, Young-Jin
    • IE interfaces
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    • v.15 no.4
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    • pp.356-363
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    • 2002
  • Virtual Manufacturing is a technology to facilitate effective product development and agile production by computer models representing the physical and logical schema and the behavior of real manufacturing systems including manufacturing resources, environments and products. For the successful application of this technology, a virtual factory as a well-designed and integrated environment is essential. In this research, we constructed a sophisticated virtual factory model of an automotive company's paint shop, and performed precise simulations of unit cells, lines and whole plant operations for collision check and off-line programming. It is expected that this virtual paint shop is useful for achieving time and cost savings in many manufacturing preparation and planning activities of new car development processes.

Real-Time DBR Scheduling in Internet Based Make-to-Order Manufacturing (인터넷을 통한 주문생산환경에서의 실시간 생산 DBR 스케줄링)

  • Han, Young-Geun;Kim, Yeon-Kyun
    • IE interfaces
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    • v.14 no.4
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    • pp.341-347
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    • 2001
  • This paper describes a real-time manufacturing scheduling system on Internet using DBR(Drum-Buffer-Rope) scheduling method. We intend to change company-oriented manufacturing scheduling, which has been used at most manufacturing companies, to customer-oriented manufacturing scheduling. Customers can not only choose product kinds, quantities and order due dates, but also evaluate optimum order due date by themselves in real-time through internet and then the results will be converted into practical manufacturing scheduling. If the company cannot meet the customer order due date, it will offer reliable and accurate information to the customers by suggesting the earliest order due date. To evaluate the customer order due date in real time, companies should be able to estimate their accurate production capacity. This research uses Goldratt's DBR scheduling method to realize that function. The DBR scheduling does not recognize the production capacity of the whole company, but only of the constraint resources which have a great effect on the company throughput. Thus, it can improve the customer service level as well as the profit by performing more dynamic and reliable scheduling through Internet.

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Optimization Analysis of Flexible Cellular Manufacturing: Route Selection and Determining the Optimal Production Conditions for Ordered Products (유연한 셀생산을 위한 최적가공경로와 생산조건의 결정)

  • Song, Sang-Jae;Choi, Jung-Hee
    • Journal of Korean Institute of Industrial Engineers
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    • v.18 no.1
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    • pp.47-62
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    • 1992
  • This paper describes a procedure for optimizing the route selection and production conditions in alternate process plans under a cellular manufacturing environment. The type of production is mainly production-to-order which deals with unexpected products as the changes factor. The flexible cellular manufacturing can be viewed as a complete unification of both flexible manufacturing process and flexible production management. The integrated problem for designing flexible cellular manufacturing associated with determining the optimal values of the machining speeds, overtime, and intercell flow is formulated as Nonlinear Mixed Integer Programming(NMIP) in order to minimize total production change cost. This is achieved by introducing the marginal cost analysis into the NMIP, which will compute the optimal machining speed, overtime, intercell flow, and routing. The application of this procedure offers greater flexibility to take advantage of the cellular manufacturing due to the optimum use of resources. A solution procedure for this problem was developed and a numerical example is included.

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Micro-machining system technology (초소형 미세가공 시스템 기술)

  • 박종권;이득우
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2004.04a
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    • pp.459-465
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    • 2004
  • Micro-factory is a small system to produce a small parts and this manufacturing system has advantages such as energy saving, resources saving, and manufacturing space saving. Micro-factory are classified according to production type and has many applications in various industry. In this paper, the basic concept and applications of micro-factory are introduced.

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Multiobjective Hybrid GA for Constraints-based FMS Scheduling in make-to-order Manufacturing

  • Kim, Kwan-Woo;Mitsuo Gen;Hwang, Rea-Kook;Genji Yamazaki
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.187-190
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    • 2003
  • Many manufacturing companies consider the integrated and concurrent scheduling because they need the global optimization technology that could manufacture various products more responsive to customer needs. In this paper, we propose an advanced scheduling model to generate the schedules considering resource constraints and precedence constraints in make-to-order (MTO) manufacturing environments. Precedence of work- in-process(WIP) and resources constraints have recently emerged as one of the main constraints in advanced scheduling problems. The advanced scheduling problems is formulated as a multiobjective mathematical model for generating operation schedules which are obeyed resources constraints, alternative workstations of operations and the precedence constraints of WIP in MTO manufacturing. For effectively solving the advanced scheduling problem, the multi-objective hybrid genetic algorithm (m-hGA) is proposed in this paper. The m-hGA is to minimize the makespan, total flow time of order, and maximum tardiness for each order, simultaneously. The m-hGA approach with local search-based mutation through swap mutation is developed to solve the advanced scheduling problem. Numerical example is tested and presented for advanced scheduling problems with various orders to describe the performance of the proposed m-hGA.

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An Analysis on the Forecasting Demand and Supply of Regional Industrial Labor for Customized Nurturing Human Resource: Focused on Manufacturing Industry in Chung-Nam Province (맞춤형 인력양성을 위한 지역 산업인력 수급분석: 충남지역 제조업을 중심으로)

  • Jung, Hae Yong
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.2
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    • pp.147-159
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    • 2011
  • In this paper the demand and supply of labor are forecasted over the next 10 years for customized nurturing human resource focused on Manufacturing Industry in Chung-Nam Province. Despite that the industrial structure is rapidly changing, industrial labors are nurturing on the basis of past industrial structure. This research is conducted for reducing mismatched labors throughout forecasting human resources until 2020. As a practical approach, the BLS Methodology is partially utilized. And the previous researches and official statistics data are reviewed. In conclusion, this study presents that more human resources on Manufacturing Industry than other Industries will be needed in Chung-Nam province. In details, it shows that there will be required more Industrial labors for strategic industries for examples, Audio and Video related industry, and Car related industry which is propelling by overall local government. In additions, policy implications are developed by analyzing current status and forecasting the labor demand and supply in the Chung-Nam Manufacturing sector.

Establish Manufacturing Firms' Response Strategy to the Serious Accident Punishment Act Using IPA (IPA를 활용한 제조기업의 중대재해처벌법 대응방안 수립)

  • Seo, JunHyeok;SungMin Bae
    • Journal of Korean Society for Quality Management
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    • v.51 no.4
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    • pp.607-618
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    • 2023
  • Purpose: In this study, we proposed a plan to establish and implement a safety and health management system by utilizing corporate resources so that manufacturing companies can effectively respond to the Serious Accident Punishment Act. Methods: We identified critical factors and response strategies necessary for manufacturing companies to respond to the Severe Accident Punishment Act effectively and surveyed employees working at the company regarding their importance and performance. Results: In this study, we presented a method of strategically constructing the response strategies (20) shown in previous studies by matching them with the company's resources (leadership, organization, budget, education, and awareness). In particular, leadership refers to the ability of managers who can prevent serious accidents by carrying out safety and health security obligations to avoid safety and health hazards or risks to employees in the business or workplace that is controlled, operated, and managed. Conclusion: Based on the manager's firm leadership, the system's purpose and direction must be accurately set and sufficiently communicated to members. In addition, for companies to identify and improve risk factors on their own, a Process approach must be established to improve execution by referring to legal standards together with field managers and supervisors.

Selecting the Critical Resources Using DBR on Multi-parameters (DBR 스케줄링에 있어 제약자원 선정에 관한 연구)

  • 서장훈;홍석묵;박명규
    • Journal of the Korea Safety Management & Science
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    • v.4 no.1
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    • pp.131-139
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    • 2002
  • Since introducing the "Theory of Constraints" by Goldratt, its effect was verified by lots of scholars, men of enterprise. These days it is also introducing and studying in this country with good results. The objective of this study is to show how to determine the constraint resources on DBR scheduling. Actually, previous studies based on the line which just think a load/capacity rate on doing scheduling. This study will show a scheduling method which reflects multi-parameters. It could be a standard to reflect real manufacturing surroundings. On calculating a priority of each resources, we classified factors with subjective and objective factors. And we propose a decision model to incorporate values assigned by a group of experts on different factors to select a critical resource. On deploying this model, SN ratio of Taguchi method for each of subjective and objective factors will be used. And we propose a procedure which is organized with 7 steps. To understand the logic, a numerical manufacturing simulation will be presented. This method is a incorporating decision model on determining the constraint on multi parameters with experts.h experts.