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Journal articles on the topic 'Manufacturing execution'

To see the other types of publications on this topic, follow the link: Manufacturing execution.

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Albano, Robert E., David J. Friedman, and Stanley A. Hendryx. "Manufacturing Execution: Equipment." AT&T Technical Journal 69, no. 4 (July 8, 1990): 53–63. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00111.x.

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2

Burman, David Y., Ke-Tsai Edward Chin, John Huber, Gerald M. Barr, Robert D. Storrs, Kaveh Hushyar, and Barbara A. Binder. "Manufacturing Execution: Storeroom." AT&T Technical Journal 69, no. 4 (July 8, 1990): 81–89. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00113.x.

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3

Valckenaers, Paul, Hendrik Van Brussel, Paul Verstraete, Bart Saint Germain, and Hadeli. "Schedule execution in autonomic manufacturing execution systems." Journal of Manufacturing Systems 26, no. 2 (April 2007): 75–84. http://dx.doi.org/10.1016/j.jmsy.2007.12.003.

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4

Valckenaers, P., and H. Van Brussel. "Holonic Manufacturing Execution Systems." CIRP Annals 54, no. 1 (2005): 427–32. http://dx.doi.org/10.1016/s0007-8506(07)60137-1.

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5

Albano, Robert E., Cagatay Buyukkoc, Bharat T. Doshi, David X. Callaway, David J. Friedman, Terry R. McClure, Laurie A. Schmitt, and John J. Svitak. "Manufacturing Execution: Circuit Packs." AT&T Technical Journal 69, no. 4 (July 8, 1990): 64–80. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00112.x.

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6

Gao, Wei Zeng, Yan Li Zhu, and Yue Sheng Gu. "Research on Manufacturing Execution System." Advanced Materials Research 542-543 (June 2012): 315–19. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.315.

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The manufacturing execution system (MES), is now still constructed with relatively dedicated framework. Such lag in the development of MES has inevitably caused some problems. A salient one is the lack of adaptability to effectively cope with the diversity of manufacturing processes. This paper aims to provide some resolutions to this problem. After analyzing the adaptability requirements of A-MES in detail, some key techniques are researched including data integrated adapter, developing configurable factory model, reusable business component and data based script driven mechanism. Thereafter, a new kind of adaptable MES framework named A-MES is presented. A-MES is capable of accommodating changes in internal and external manufacturing system with little programming work.

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7

Hendryx, Stanley A. "Manufacturing Execution: Theory and Concepts." AT&T Technical Journal 69, no. 4 (July 8, 1990): 33–52. http://dx.doi.org/10.1002/j.1538-7305.1990.tb00110.x.

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8

NEUHAUS, C. A., M. G. SILVA, and D. A. J. PACHECO. "IMPLICAIONS OF MANUFACTURING EXECUTION SYSTEMS IN THE MANAGEMENT OF INDUSTRIAL QUALITY." Revista Gestão, Inovação e Tecnologias 4, no. 5 (December 22, 2014): 1489–500. http://dx.doi.org/10.7198/s2237-0722201400050016.

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9

Xia, Xiao Peng, and Guang Sheng Ren. "Research on Manufacturing Execution System Oriented to Agile Manufacturing." Key Engineering Materials 419-420 (October 2009): 397–400. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.397.

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As a bridge between top-level transaction and low-level control system of facilities, MES (Manufacturing Execution System) is the key technology to implement the integration of all enterprise information systems. The research on MES oriented to agile manufacturing is of great importance in improving the level of management and automation. This paper is a brief introduction to the features of MES and its key technologies based on agile manufacturing environment. In view of the advanced technology and its practicability and feasibility, the methodology of software reuse is employed to study MES oriented to agile manufacturing. Meanwhile, the author analyses its key technologies, proposes an integration framework of MES oriented to agile manufacturing which can realize the horizontal integration and vertical integration for MES by adopting agent components, and presents a solution to MES’s implementation for the agile manufacturing company.

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10

Stehr, Ernst-August. "Lohnt sich ein Manufacturing Execution System?" ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 115, no. 3 (March 27, 2020): 136–39. http://dx.doi.org/10.3139/104.112256.

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11

Kletti, Jürgen. "Mehr Wirtschaftlichkeit mit Manufacturing Execution Systems." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 101, no. 1-2 (February 24, 2006): 48–52. http://dx.doi.org/10.3139/104.100992.

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12

Kšksal, A., and E. Tekin. "Manufacturing Execution Through e-FACTORY System." Procedia CIRP 3 (2012): 591–96. http://dx.doi.org/10.1016/j.procir.2012.07.101.

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13

Saenz de Ugarte, B., A. Artiba, and R. Pellerin. "Manufacturing execution system – a literature review." Production Planning & Control 20, no. 6 (September 2009): 525–39. http://dx.doi.org/10.1080/09537280902938613.

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14

Feng, Shaw C. "Manufacturing planning and execution software interfaces." Journal of Manufacturing Systems 19, no. 1 (January 2000): 1–17. http://dx.doi.org/10.1016/s0278-6125(00)88886-x.

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15

Schleipen, Miriam, Ansgar Münnemann, and Olaf Sauer. "Interoperabilität von Manufacturing Execution Systems (MES)." at - Automatisierungstechnik 59, no. 7 (July 2011): 413–24. http://dx.doi.org/10.1524/auto.2011.0936.

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16

Möllmann, Ullrich. "Greater Efficiency Through Manufacturing Execution Systems." Auto Tech Review 1, no. 2 (February 2012): 44–47. http://dx.doi.org/10.1365/s40112-012-0021-0.

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17

vom Felde, M., and T. Slawinski. "Manufacturing Execution Systems – Funktionen und Wirtschaftlichkeit." Chemie Ingenieur Technik 77, no. 8 (August 2005): 1096. http://dx.doi.org/10.1002/cite.200590251.

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18

Cheng, Fan-Tien, Chih-Feng Chang, and Shang-Lun Wu. "Development of holonic manufacturing execution systems." Journal of Intelligent Manufacturing 15, no. 2 (April 2004): 253–67. http://dx.doi.org/10.1023/b:jims.0000018037.63935.a1.

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19

Simão, Jean Marcelo, Paulo Cézar Stadzisz, and Gérard Morel. "Manufacturing execution systems for customized production." Journal of Materials Processing Technology 179, no. 1-3 (October 2006): 268–75. http://dx.doi.org/10.1016/j.jmatprotec.2006.03.064.

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20

Morariu, Octavian, Theodor Borangiu, and Silviu Raileanu. "vMES: Virtualization aware manufacturing execution system." Computers in Industry 67 (February 2015): 27–37. http://dx.doi.org/10.1016/j.compind.2014.11.003.

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21

Aramja, Adil, Oualid Kamach, and Rachid Elmeziane. "Companies’ perception toward manufacturing execution systems." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (August 1, 2021): 3347. http://dx.doi.org/10.11591/ijece.v11i4.pp3347-3355.

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The use of information systems in manufacturing sector is very crucial to reach a high level of operational excellence and improve companies’ competitiveness. The use of such systems will definitely increase in the upcoming years, considering the digitalization strategies. Manufacturing execution systems gained a lot of attention in recent years due to showcased benefits in production management operations. Companies that adopted such systems witnessed an increase in process efficiency and enhancements with regards to cost savings and products quality. This paper seeks to analyze what makes the usage of manufacturing execution systems successful among manufacturing companies. We analyzed how the integration capabilities of such systems with other business applications and the company profile impact their usage and consequently the perceived benefits. A case study was conducted with 51 manufacturing companies and data were analyzed using partial least square structural equation modeling technique. The results confirmed the positive and significant impact of the company profile and solution integration capabilities on system usage. In addition, a ranking of solution modules importance for companies was also provided.

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22

Wang, Qi Feng. "Service-Driven Networked Collaborative Manufacturing Execution Platform for Extended Enterprises." Applied Mechanics and Materials 16-19 (October 2009): 88–92. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.88.

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To effectively realize the collaboration in manufacturing processes for extended enterprises, this paper provided a service-driven networked collaborative manufacturing execution platform and its framework based upon the analysis of requirements for networked collaborative manufacturing, and the components of the platform were deeply studied. Furthermore, the collaborative operation processes were studied from three processes which include the process of manufacturing resource services modeling and register, the process of manufacturing task committing and manufacturing execution chain generation, and the process of manufacturing execution chain execution and monitoring. The study of this paper provided a feasible system and operation mode for the extended enterprises in manufacturing process collaboration.

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23

Wang, Huifen, Linyan Liu, Yizheng Fei, and Tingting Liu. "A collaborative manufacturing execution system oriented to discrete manufacturing enterprises." Concurrent Engineering 24, no. 4 (July 26, 2016): 330–43. http://dx.doi.org/10.1177/1063293x16640591.

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24

Helo, Petri, Mikko Suorsa, Yuqiuge Hao, and Pornthep Anussornnitisarn. "Toward a cloud-based manufacturing execution system for distributed manufacturing." Computers in Industry 65, no. 4 (May 2014): 646–56. http://dx.doi.org/10.1016/j.compind.2014.01.015.

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25

Chen, Kai Ying. "Performance Measurement of Implementing Manufacturing Execution System." Materials Science Forum 505-507 (January 2006): 1117–22. http://dx.doi.org/10.4028/www.scientific.net/msf.505-507.1117.

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Manufacturing execution system (MES) is a computer application system that integrates all relevant real-time information along every step in a manufacturing process. MES is essential for manufacturers for gathering real-time production line information, supporting manufacturing decision making and increasing manufacturing efficiency. MES is a must for operation control and lot tracking in the shop floor of a plant with complicated manufacturing processes, such as semiconductor manufacturing fab or TFT-LCD manufacturing plant. This paper presents the formulization of performance measurement of implementing MES from several quantitative and qualitative aspects by analyzing the basic functions and objectives of MES and interviewing with some senior consultants and MES related working staff. In addition, multi-attribute decision making technique, analytic hierarchy process (AHP) is used to decide the priority of these performance measurement indices. The results of this research will be useful for a company when MES is an existing system or is a To Be system.

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26

Yu, Jian Guo, Mei Lin Feng, Peng Peng Huang, and De Chang Xu. "Research on Development for MES of Mould Making Based on WEB Platform and B/S Mode." Advanced Materials Research 340 (September 2011): 109–15. http://dx.doi.org/10.4028/www.scientific.net/amr.340.109.

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For the development about Manufacturing Execution System of mould making, the difficulty in manufacturing execution management is pointed out by combining mould making process with current management regulations of mould making enterprises. Goal of the system is analyzed and its main function is designed. System architecture is established based on WEB platform and B/S mode, The physical data model is designed by using PowerDesigner software and implementation methods of some critical functions for manufacturing execution system are developed based on JSP. Through practical enterprise application, it is proved that the system immensely enhance the manufacturing execution management level for mould making enterprises.

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27

Chen, Zhi Gao. "Research of Cloud Manufacturing Execution Path Optimization Based on Adaptive Ant Colony Algorithm on Hadoop Platform." Applied Mechanics and Materials 628 (September 2014): 417–20. http://dx.doi.org/10.4028/www.scientific.net/amm.628.417.

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Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. As execution of manufacturing resources is more complicated than computational resources the service combination execution reliability becomes a mandatory considering problem in cloud manufacturing. In this paper we present a cloud manufacturing service composition method considering execution reliability based on adaptive ant algorithm, which in hadoop environment to optimize the use of composite service execution path to save the costs. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.

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28

Yu, Jian Guo, Mei Lin Feng, Peng Peng Huang, and Qi Zhong Zhang. "Research on Design and Development for Intelligent Manufacturing Execution System of Tungsten Powder Processing." Applied Mechanics and Materials 121-126 (October 2011): 4080–84. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.4080.

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For the design and development problems about intelligent Manufacturing Execution System of tungsten powder processing, the difficulty in the manufacturing execution management is pointed out combining Tungsten powder process flow. Goal of the system is analyzed and its main function is designed. Collaboration as the core, integrated system architecture is established from three aspects of system function, time and space. The physical data model is designed by using PowerDesigner, the manufacturing execution system is developed based on JSP. Through practical enterprise application, it is proved that the system immensely enhance the manufacturing execution management level for the Tungsten powder processing enterprise.

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29

Hu, Ju Fang, and Chun Ru Xiong. "A Manufacturing Execution System for Discrete Industry." Applied Mechanics and Materials 519-520 (February 2014): 1585–88. http://dx.doi.org/10.4028/www.scientific.net/amm.519-520.1585.

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Manufacturing Execution System (MES) is widely used in enterprise production scene. But most manufacturing execution systems are expensive and mostly for the continuous production-oriented enterprises. Thus, they are hardly applied to a large number of existing discrete manufacturing enterprises. For discrete manufacturing companies, on-site processing is complex such as the planning and scheduling. This paper proposes a concept that is the use of advanced enterprise information management and designs a CIMS technology for discrete industry. The system is capable of real-time monitoring of discrete manufacturing companies in the products of the process of production and production data collection. The completion of the automatic production scheduling is achieved, providing a variety of enterprise project management module upper and greatly optimizing various production resources of the enterprise configuration. In practical applications, it has received very good results.

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30

Govindaraju, Rajesri, Kristianto Lukman, and Dissa R. Chandra. "Manufacturing Execution System Design Using ISA-95." Advanced Materials Research 980 (June 2014): 248–52. http://dx.doi.org/10.4028/www.scientific.net/amr.980.248.

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Manufacturing execution system is information systems (IS) that bridges the gap between IS at the top level, namely enterprise resource planning (ERP) nd IS at the lower levels, namely the automation systems. MES has been reported to increase productivity, maintain product quality, and reduce production time. However, the advantage is obtained if MES is integrated smoothly with the other systems. Currently there is an industry standard, ISA-95, which can be used as a reference model in the process of integrating MES with ERP and automation systems. This study was undertaken to propose a methodology for MES design utilizing ISA-95 standard.The methodology is designed considering the objectives of MES development from a point of view manufacturing system and also from the point of view of information systems. Thus, challenges from two domains, namely business (manufacturing) domain and technology (IS domain) are both considered in the development of the methodology.

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31

Yuan, Hong Liang, Ai Min Wang, and Jin Fan Lei. "Job-Shop Manufacturing Execution Process Monitoring Technology." Advanced Materials Research 421 (December 2011): 483–88. http://dx.doi.org/10.4028/www.scientific.net/amr.421.483.

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According to the production characteristics of single piece and small batch production and the combination of production and research in aerospace workshops, this thesis has made an in-depth study of job-shop manufacturing execution process monitoring technology with strong adaptability. A model for visual manufacturing process monitoring based on process route was proposed, it realizes the job-shop production featured by entire staff participation, entire process management and omnibearing warranty.

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32

Brecher, Christian, Simon Müller, Thomas Breitbach, and Wolfram Lohse. "Viable System Model for Manufacturing Execution Systems." Procedia CIRP 7 (2013): 461–66. http://dx.doi.org/10.1016/j.procir.2013.06.016.

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33

Potekhin, V. V., AH Bahrami, and B. Katalinič. "Developing manufacturing execution system with predictive analysis." IOP Conference Series: Materials Science and Engineering 966 (November 14, 2020): 012117. http://dx.doi.org/10.1088/1757-899x/966/1/012117.

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34

Yin, Y. H., and J. Y. Xie. "Reconfigurable manufacturing execution system for pipe cutting." Enterprise Information Systems 5, no. 3 (August 2011): 287–99. http://dx.doi.org/10.1080/17517575.2011.579177.

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35

Telukdarie, A. "Manufacturing execution systems: an accelerated enablement protocol." International Journal of Intelligent Enterprise 4, no. 4 (2017): 283. http://dx.doi.org/10.1504/ijie.2017.089206.

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36

Telukdarie, A. "Manufacturing execution systems: an accelerated enablement protocol." International Journal of Intelligent Enterprise 4, no. 4 (2017): 283. http://dx.doi.org/10.1504/ijie.2017.10010107.

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37

Zhou, Bing‐hai, Shi‐jin Wang, and Li‐feng Xi. "Data model design for manufacturing execution system." Journal of Manufacturing Technology Management 16, no. 8 (December 2005): 909–35. http://dx.doi.org/10.1108/17410380510627889.

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38

Çelikkaya, Güner. "Manufacturing Execution Systems And A Sectoral Application." KnE Social Sciences 1, no. 2 (March 19, 2017): 73. http://dx.doi.org/10.18502/kss.v1i2.648.

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<p class="KeywordsText"> Information systems have widespread usage on Manufacturing Systems. Most companies need tracking production processes with information systems to become prominent in highly competitive environment. There are some specific metrics need to be followed and important to access these datas on time and also should be reliable. These metrics include all manufacturing and quality processes. In this context; efficiency, line stoppages, malfunction and interruptions, body and supplied part trace ability informations are needed. This study MES (Manufacturing Execution Systems) is the system developed for tracking production processes. MES is working from receipt of order to delivery of the product that are the essentials for the production activities to achieve real time status of all manufacturing data. In this way, all information which not manually recorded or takes long process time to record or can be tracked instantaneously and these records can be reached and analyzed in the future. The system also provides accurate data for us. In this study all phases from design to implementation of an automotive subindustry firm’s MES application designed based on integrated software process requirements are depicted. Relevant system’s integrated software will be implemented to Module Line. This study will allow tracking related product’s all process, decision making and traceability data with serial numbers.</p>

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39

Verstraete, Paul, and Paul Valckenaers. "TOWARDS COOPERATING PLANNING AND MANUFACTURING EXECUTION SYSTEMS." IFAC Proceedings Volumes 39, no. 3 (2006): 393–98. http://dx.doi.org/10.3182/20060517-3-fr-2903.00210.

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40

Muhammad, Younus, Saleem Waqas, Yong Yu, and Yuqing Fan. "Integrated advance manufacturing planning and execution system." International Journal of Internet Manufacturing and Services 2, no. 3/4 (2010): 330. http://dx.doi.org/10.1504/ijims.2010.033941.

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41

Bratukhin, Aleksey, and Thilo Sauter. "Functional Analysis of Manufacturing Execution System Distribution." IEEE Transactions on Industrial Informatics 7, no. 4 (November 2011): 740–49. http://dx.doi.org/10.1109/tii.2011.2167155.

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42

Zhaohui Li, Yan Chen, and Lixin Shen. "A Component Based Reconfigurable Manufacturing Execution System." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 3, no. 10 (November 30, 2011): 167–75. http://dx.doi.org/10.4156/aiss.vol3.issue10.21.

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43

Yu, Yuan-Chen, Kun-Peng Liu, and Wei-Hao Chen. "A PARAMETRIC MANUFACTURING KNOWLEGE REPRESENTATION MODEL FOR AGILE MANUFACTURING EXECUTION CONTROL." Journal of the Chinese Institute of Industrial Engineers 22, no. 1 (January 2005): 82–92. http://dx.doi.org/10.1080/10170660509509280.

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44

Zhou, Yan Ping. "Design of Manufacturing Execution System in Tire Enterprises." Applied Mechanics and Materials 411-414 (September 2013): 2343–46. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2343.

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Manufacturing Execution System is the tie of computer integrated manufacturing systems on enterprise information integration. This paper designs a MES in tire enterprises according to the need of tire production manufacturing. Production process of tire manufacturing is introduced firstly. Then the structure design and function design of MES in tire enterprises is given. The proposed MES design scheme is applied to a tire enterprise and result shows that MES can improve the tire manufacturing efficiency greatly.

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45

Fu, Ying Bin, and Ping Yu Jiang. "Service-Oriented Manufacturing Execution Systems Supported by IPSS." Applied Mechanics and Materials 16-19 (October 2009): 660–64. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.660.

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Manufacturing execution systems (MESs) are important information systems in workshop-level. Nowadays, industrial product service systems (iPSSs) are used to decrease the cost by providing professional services for the usages and management of machine tools and their attachments like cutters in manufacturing. This paper studies framework of a workshop-level service-oriented manufacturing execution systems (So-MES) which is supported by industrial product service systems. The framework of the So-MES is built through enabling four basic functions: planning functions, execution functions, service functions and resource functions. Finally, methods for the resource of e-service and product management service are discussed as key enabling techniques in this paper.

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46

Liao, Hsiu-Li, Chen-Huei Chou, Kuo-Chen Li, and Yi-Chun Lin. "Development of Personalized Flexible Report for Manufacturing Execution System Based on Data Warehouse Technology." International Journal of Computer and Electrical Engineering 8, no. 4 (2016): 280–87. http://dx.doi.org/10.17706/ijcee.2016.8.4.280-287.

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47

Aguiar, M. W. C., and R. H. Weston. "CIM-OSA and Stochastic Time Petri Nets for Behavioural Modelling and Model Handling in CIM Systems Design and Building." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 207, no. 3 (August 1993): 147–58. http://dx.doi.org/10.1243/pime_proc_1993_207_075_02.

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Means are considered that can structure design and building processes associated with integrated manufacturing systems. To meet the identified needs, the paper proposes the use of an environment for executing models which adopts and extends the concepts and guidelines identified by the CIM-OSA (computer integrated manufacturing-open sytems architecture) consortium. A key component of the environment concerns the execution of models of behaviour. The paper describes (with reference to on-going implementation work) how CIM-OSA behaviour models can be represented and handled by stochastic time Petri net model execution tools. The use of the design and building environment is illustrated with reference to a case study application involving the batch manufacture of a family of electronic products. Here, the necessary form of key CIM-OSA and Petri net models are described, as are results from the Petri net simulation studies. The paper also comments on the advantages and limitations of the CIM-OSA modelling approach and how certain of those limitations are circumvented by adopting the proposed environment for model execution.

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48

ZHAI Junhua, 翟军华, and 苏通 SU Tong. "Design and implementation of manufacturing execution system for TFTLCD manufacturing enterprises." Chinese Journal of Liquid Crystals and Displays 29, no. 1 (2014): 60–64. http://dx.doi.org/10.3788/yjyxs20142901.0060.

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49

Marks, Eric A. "Manufacturing Execution Systems: Enablers for Operational Excellence and the Groupware for Manufacturing." Information Strategy: The Executive's Journal 13, no. 3 (March 1997): 23–29. http://dx.doi.org/10.1080/07438613.1997.10744565.

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50

Васильев, Игорь, Igor Vasilev, Евгений Фролов, and Evgeniy Frolov. "Manufacturing Execution Systems - a Tool of Effective control of machine-building manufacturing." Bulletin of Bryansk state technical university 2014, no. 3 (September 30, 2014): 156–60. http://dx.doi.org/10.12737/23146.

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