• Title/Summary/Keyword: Production Systems

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Optimal control of stochastic continuous discrete systems applied to FMS

  • Boukas, E.K.
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.733-743
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    • 1989
  • This paper deals with the control of system with controlled jump Markov disturbances. A such formulation was used by Boukas to model the planning production and maintenance of a FMS with failure machines. The optimal control problem of systems with controlled jump Markov process is addressed. This problem describes the planning production and preventive maintenance of production systems. The optimality conditions in both cases finite and infinite horizon, are derived. A numerical example is presented to validate the proposed results.

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JIT Production System of Domestic Manufacturers and It's Impact on Manufacturing Performance (국내 제조기업의 JIT생산방식의 도입과 제조성과에 관한 연구)

  • Kim Dae-Hong;Kim Sang-Bin
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.28 no.1
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    • pp.64-71
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    • 2005
  • The purpose of this study is to propose guidelines for introducing the Just-In-Time (JIT) production system to enhance the competitiveness of Korean manufacturing companies. This study employed an extensive survey on the use of the JIT production systems among different korean manufacturing companies to understand the current status of the JIT production system in use and to identify the benefits from implementing JIT production system. The survey has covered 170 manufacturing companies of different sizes from various sectors of Korean industries including electronics, automobiles, machineries, and textiles. In conclusion, our research results support that the JIT production system would contribute to increase the manufacturing performances of Korean manufacturing companies through lower inventory level and increased quality level.

Collaborative Object-Oriented Analysis for Production Control Systems

  • Kim, Chang-Ouk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.56
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    • pp.19-34
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    • 2000
  • Impact of business process re-engineering requires the fundamental rethinking of how information systems are analyzed and designed. It is no longer sufficient to establish a monolithic system for fixed business environments. Information systems must be adaptive in nature. This demand is also applied in production domain. Enabling concept for the adaptive information system is reusability. This paper presents a new object-oriented analysis process for creating such reusable software components in production domain, especially for production planning and scheduling. Our process called MeCOMA is based on three meta-models: physical object meta-model, data object meta-model, and activity object meta-model. After the three meta-models are extended independently for a given production system, they are collaboratively integrated on the basis of integration pattern. The main advantages of MeCOMA are (1) to reduce software development time and (2) to consistently build reusable production software components.

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Adopting Production System in Cognitive Psychology to Improve the Extraction Process of Persuasive Design Characteristics for Healthcare-related Applications

  • Zhang, Chao;Wan, Lili
    • The Journal of Information Systems
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    • v.27 no.3
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    • pp.25-42
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    • 2018
  • Purpose The purpose of this study focused on adopting production systems in cognitive psychology to improve the extraction process of persuasive design characteristics for healthcare-related mobile applications. Design/Methodology/Approach A research approach with four stages was developed. We developed and updated the evaluation guideline for persuasive design characteristics (PDC). We tried to summarize and analyze each of 28 PDC and prepared related production rules. Verification process for both guideline approach and production system approach were performed. Top one hundred apps from both medical category and health and Fitness category were selected and evaluated by two approaches. By comparing the results of the two approaches, we tried to explain the improvement and reliability of introducing the production system in the PDC extraction process. Findings Based on the updated guideline for healthcare-related mobile applications, a production system in cognitive psychology was developed. By comparing the PDC extraction results by two approaches, production system showed a better improvement for evaluation precision and efficiency for decision-making process. The findings of this study can be used for researchers and app developers to apply production system to analyze, evaluate, and develop better healthcare-related apps with persuasion.

A Study on the Hybrid Production System of MRP, GT and JIT (MRP, GT, JIT 혼합생산시스템 구축에 관한 연구)

  • 이현용;이승우;강경식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.58
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    • pp.89-100
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    • 2000
  • There use many production management systems for increasing productivity, minimizing inventory, keeping due dates and maximizing use of resources. MRP, GT and JIT are popular among these systems. There use many production management systems for increasing productivity, minimizing inventory, keeping due dates and maximizing use of resources. MRP, GT and JIT are popular among these systems. In this study, we had designed mixed production system which integrated searching and grouping function of GT, purchasing function of JIT and based on MRP and developed related algorithms and applied systems. The developed system was based on appling renewed algorithms for existing MRP system. To test efficiency operated real-data but we have tested renewed algorithms using sample-data because of massive real-data.

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Horizontal Integration between Cyber Physical System Based on Industry 4.0 and Manufacture Execution Systems through Middleware Building (인더스트리4.0 기반 사이버물리시스템과 생산관리시스템간의 미들웨어 구축을 통한 수평적 통합)

  • Kim, Dae-Geun;Park, Man-Gon
    • Journal of Korea Multimedia Society
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    • v.17 no.12
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    • pp.1484-1493
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    • 2014
  • Recently, Industry 4.0 (next generation industrial revolution) designed by Germany to retain initiative in manufacturing business is actively studied. Goal of Industry 4.0 is 'Smart factory' which manages progress of production, supply logistics and services. To achieve the goal, we can construct value creation and new business model by integrating organically with production management systems which is existing and cyber-physical systems, Internet of Things, Services Internet and sensor, etc. However, if integration with production management systems does not work effectively by adding and developing new technologies, It does not have performance. Hence, in this research, we will analysis Industry 4.0 which is possible for small quantity batch production and one of the light and flexible manufacturing systems, and based on this, we will suggest methodology to horizontally integrate with production management systems.

Automobile Assembly Sequence System Using Production Information (생산정보를 이용한 자동차 조립 서열시스템에 관한 연구)

  • Ock, Young-Seok;Kim, Byung Soo;Bae, Jun-Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.37 no.3
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    • pp.8-15
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    • 2014
  • For zero inventory and mixed assembly production, JIT (Just In Time) production system in Toyota and JIS (Just-In-Sequence) production system in Hyundai motor co. have been proposed in automobile production areas. Even though the production systems are popular in the areas, many subcontract companies producing part-modules for final production at a parent company suffers from excessive or shortage amount of inventory due to the time gap of production and delivery to the parent company. In this study, we propose an efficient real-time assembly sequence system applying a well-known Pareto method using Paint-In information in painting process and daily production planning information. Based on this system, a production line can estimate the shortage amount of UPH (Units Per Hour) at production line and recovers the amount before operating assembly production in the line. The proposed system provides efficiency on productivity compared with the previous system.

Implementation of a Vehicle Production Sequencing Module Using Constraint Satisfaction Technique for Vehicle Production Planning System (자동차 생산계획 시스템에서 제약만족기법을 이용한 생산 시퀀스 모듈 구현)

  • Ha, Young-Hoon;Woo, Sang-Bok;Ahn, Hyun-Sik;Hahn, Hyung-Sang;Park, Young-Jin
    • IE interfaces
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    • v.16 no.3
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    • pp.352-361
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    • 2003
  • Vehicle manufacturing plant is a typical mixed-model production system. Generally it consists of three main shops including body shop, painting shop and assembly shop in addition to engine shop. Each shop contains diverse manufacturing processes, all of which are integrated in a form of flow line. Due to the high pressure from the market requesting small-volume large variety production, production planning becomes very critical for the competitiveness of automotive industry. In order to save costs and production time, production planning system is requested to meet some designated requirements for each shop: to balance the work load in body and assembly shops, and to minimize the number of color changes in painting shop. In this context, we developed a sequencing module for a vehicle production planning system using the ILOG Solver Library. It is designed to take into account all the manufacturing constraints at a time with meeting hard constraints in body shop, minimizing the number of soft constraints violated in assembly shop, and minimizing the number of color changes in painting shop.

Implementation of high performance communication for industrial robot controllers (고기능 로봇통신)

  • 전재욱;김진기;김형철;최상진;송철호;김성진;김동일;김성권
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.1136-1140
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    • 1993
  • A communication system in an industrial robot controlle is proposed for the implementation of an efficient FA system. Different from existing industrial robot controllers which use binary I/O for the communication with external systems, the robot controllers having the proposed communication system can exchange various information with external systems. Furthermore, the robot motion and the communication with external systems can be performed simultaneously. The structure of hardware and software in the communication system is explained to show how to acheive these two operations simultaneously.

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AI Smart Factory Model for Integrated Management of Packaging Container Production Process

  • Kim, Chigon;Park, Deawoo
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.3
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    • pp.148-154
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    • 2021
  • We propose the AI Smart Factory Model for integrated management of production processes in this paper .It is an integrated platform system for the production of food packaging containers, consisting of a platform system for the main producer, one or more production partner platform systems, and one or more raw material partner platform systems while each subsystem of the three systems consists of an integrated storage server platform that can be expanded infinitely with flexible systems that can extend client PCs and main servers according to size and integrated management of overall raw materials and production-related information. The hardware collects production site information in real time by using various equipment such as PLCs, on-site PCs, barcode printers, and wireless APs at the production site. MES and e-SCM data are stored in the cloud database server to ensure security and high availability of data, and accumulated as big data. It was built based on the project focused on dissemination and diffusion of the smart factory construction, advancement, and easy maintenance system promoted by the Ministry of SMEs and Startups to enhance the competitiveness of small and medium-sized enterprises (SMEs) manufacturing sites while we plan to propose this model in the paper to state funding projects for SMEs.