• Title/Summary/Keyword: Manufacturing Resources

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An intelligent planner of processing equipment for CSCW-based shop floor control in agile manufacturing

  • Kim, Hwajin;Cho, Hyunbo;Jung, Mooyoung
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1995.04a
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    • pp.185-192
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    • 1995
  • A common control model used to implement computer integrated manufacturing(CIM) is based on the hierarchical decomposition of the shop floor activities, in which supervisory controllers are responsible for all the interactions among subordinates. Although the hierarchical control philosophy provides for easy understanding of complex systems, an emerging manufacturing paradigm, agile manufacturing, requires a new control structure necessary to accommodate the rapid development of a shop floor controller. This is what is called CSCW(computer supported cooperative work)-based control or component-based heterarchical control. As computing resources and communication network on the shop floor become increasingly intelligent and powerful, the new control architecture is about to come true in a modern CIM system. In this paper, CSCW-based control is adopted and investigated, in which a controller for a unit of device performs 3 main functions - planning, scheduling and execution. In this paper, attention is paid to a planning function and all the detailed planning activities for CSCW-based shop floor control are identified. Interactions with other functions are also addressed. Generally speaking, planning determines tasks to be scheduled in the future. In other words, planning analyzes process plans and transforms process plans into detailed plans adequate for shop floor control. Planning is also responsible for updating the process plan and identifying/resolving replanning activities whether they come from scheduling or execution.

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FDM 3D Printing of Environmental Friendly and High Strength Bio-based PC Filaments for Baby Toys

  • Park, Seong Je;Lee, Ji Eun;Park, Jean Ho;Lyu, Min-Young;Park, Keun;Koo, Myung Sool;Jin, Sun Chul;Kim, Ki Yong;Son, Yong
    • Elastomers and Composites
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    • v.52 no.2
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    • pp.99-104
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    • 2017
  • Due to the depletion of fossil oil and the increasing oil price, bio-plastic is currently topical. Bio-based plastics are synthesized from plant resources, unlike conventional petroleum-based counterparts. Therefore, the former minimizes global warming and reduces carbon dioxide emission. Fossil polycarbonate (PC)has good mechanical and optical properties, but its synthesis requires bisphenol-A and phosgene gas, which are toxic to humans. To address these problems, the fused deposition 3D printing process (hereafter, FDM) is studied using environmentally-friendly and high-strength bio-based PC. A comparisonof the environmental impact and tensile strength of fossil PC versus bio-based PC is presented herein, demonstrating that bio-based PC is more environmentally-friendly with higher tensile strength than fossil PC. The advantages of bio-based PC are applied in the FDM process for the fabrication of environmentally-friendly baby toys.

Experimental Implementation of Digital Twin Simulation for Physical System Optimization (물리시스템 최적화를 위한 디지털 트윈 시뮬레이션의 실험적 구현)

  • Kim, Kyung-Ihl
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.19-25
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    • 2021
  • This study proposes a digital twin implementation method through simulation so that the manufacturing process can be optimized in a manual manufacturing site. The scope of the proposal is a knowledge management mechanism that collects manual motion with a sensor and optimizes the manufacturing process with repetitive experimental data for motion recognition. In order to achieve the research purpose, a simulation of the distribution site was conducted, and a plan to create an optimized digital twin was prepared by repeatedly experiencing the work simulation based on the basic knowledge expressed by the worker's experience. As a result of the experiment, it was found that it is possible to continuously improve the manufacturing process by transmitting the result of configuring the optimized resources to the physical system by generating the characteristics of the work space configuration and working step within a faster time with the simulation that creates the digital twin.

Effect of Green Transformational Leadership and Organizational Environmental Culture on Manufacturing Enterprise Low Carbon Innovation Performance

  • Li, Liang;Fuseini, Joseph;Tan, MeiXuen;Sanitnuan, Nuttida
    • Asia Pacific Journal of Business Review
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    • v.6 no.2
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    • pp.27-60
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    • 2022
  • Previous studies stated that low carbon innovation performance could be influenced by government regulations and the green market, which is the new trend of consumer consumption in the present time, mainly focusing on external factors. Before study augured that low carbon innovation performance could be driven by internal and external factors of cooperation such as institutional pressure, stakeholder pressure, and innovation resources. However, the study of green transformational leadership and organizational environmental culture on low carbon innovation performance is rare, especially in Chinese manufacturing, as well as the effect of influencing factors of TPB model: environmental attitude, subjective norm, and perceived behavior capability on low carbon innovation performance. Previous studies mostly used the TPB model for predicting individual behavior. This study established a theoretical model combining the TPB model with green transformational leadership and organizational environmental culture of Chinese automobile manufacturing on low carbon innovation performance. This study consists of two sections of research methodology: section 1 related to questionnaire design and data collection. We established a questionnaire and distributed it online, targeting responses from the managerial level working in Chinese automobile manufacturing. Eventually, 155 valid questionnaires were used for analysis. Section 2 involved data analysis using statistical software. Reliability and data validity was examined by reliability analysis and factor analysis. Correlations and convergent validity analyses were applied, and structural equation modeling was conducted to test the proposed hypotheses. The findings indicated that green transformational leadership, organizational environmental culture, and essential factors of TPB model; environmental attitude, subjective norm and perceived behavior capability positively affect low carbon innovation performance. In addition, the indirect effect of green transformational leadership was tested and found that organizational environmental culture and TPB factors mediated the relationship between transformational leadership and low carbon innovation performance.

Research on the revitalization of cultural prototype content industry

  • Hur, Kang
    • International Journal of Contents
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    • v.6 no.2
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    • pp.14-20
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    • 2010
  • Korean Cultural Content Industry is developing creative cultural content based on internationally acknowledged manufacturing capacity, however, in order to become cultural industry with international competitiveness, it has to be planned and made in OMSU way. This research studied and analyzed successful cases of cultural content digital restoration and excellent cases of OSMU-type that has been developed and supported by Korean Culture and Contents Agency. This study suggests the direction of growth on the basis of movement of cultural content industry and cultivating plan of human resources.

High Speed Linear Motor Feed System Control using Neural Network (신경망을 이용한 리니어모터 이송시스템 제어)

  • 유송민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2001.04a
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    • pp.413-417
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    • 2001
  • High speed linear motor feed system has been simulated using neural network technique. Due to the limited resources, control gain tuning has been the most troublesome part in controller design. Regardless of the system structure, conventional control gain could be adjusted minimizing the resulting error using the proposed method. Slight performance deterioration was observed at the small value of training epoch.

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A Study on Negotiation-based Scheduling using Intelligent Agents (지능형 이에전트를 이용한 협상 기반의 일정계획에 관한 연구)

  • 김성희;강무진
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.348-352
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    • 2000
  • Intelligent agents represent parts and manufacturing resources, which cooperate, negotiate, and compete with each other. The negotiation between agents is in general based on the Contract-Net-Protocol. This paper describes a new approach to negotiation-based job shop scheduling. The proposed method includes multi-negotiation strategy as well as single-negotiation. A case study showing the comparison of various negotiation strategies is also given.

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A Study on Remanufacturing Industry for automobile parts (자동차 부품의 재제조산업에 대한 연구)

  • Kang, Bo-Chul;Cho, Jai-Rip
    • Proceedings of the Korean Society for Quality Management Conference
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    • 2010.04a
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    • pp.269-273
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    • 2010
  • Remanufacturing is an industrial manufacturing process. The merits of remanufacturing are to reuse old products to perform like a new product and to save energy, natural resources, landfill space and to reduce air pollution by less re-smelting. This paper proposes a systemic approach for activating the domestic remanufacturing industry. The approach is based on inside and outside regulations to apply remanufacturing companies. And, we analyzed the state and problems of remanufacturing industry for automobile parts.

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A Study on the Performance upon Industry stratrgy and the Focused Factory (기업전략과 집중화공장에 의한 성과에 관한 연구)

  • 박노국;송문익
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.17 no.31
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    • pp.81-89
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    • 1994
  • The growth rate and survival of an enterprise depends on strategy capability which is appropriately managing environmental change. An excellent adaptation to the environment of enterprises and proper utilization of their resources make them grow. In addition, the important problem is present on the concentration of restricted industry strategy. By the analysis of industry strategy and the outcome due to functional strategy, this report deals with the creation of competitive advantege of manufacturing company and strategic directions of enterprises.

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Deadlock Detection and Resolution for Flexible Job Routing (유연 공정 라우팅에서의 고착 탐지 및 해결)

  • 임동순;우훈식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.58
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    • pp.49-58
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    • 2000
  • In order to resolve a deadlock problem in manufacturing systems, three main methods have been proposed-prevention, avoidance, and recovery. The prevention and avoidance methods require predicting deadlocks in advance in order to prohibit them. In contrast, the recovery method allows a system to enter a deadlock state, then resolves it usually using a common buffer. In this paper, a deadlock recovery method considering the impact of flexible job routings is proposed. This method is based on capacity-designated directed graph (CDG) model representing current requesting and occupying relations between Jobs and resources in order to detect a deadlock and then recovers it.

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