2012
DOI: 10.1016/j.cie.2012.06.004
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Agent learning in autonomic manufacturing execution systems for enterprise networking

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Cited by 19 publications
(10 citation statements)
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References 65 publications
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“…Quality control system Van Brussel et al [19,20] Holonic manufacturing systems: PROSA Chen et al [21] Algorithms for effective and automated conflict and error prevention and detection Mahdavi et al [22] Real-time quality control information system Helo et al [31] Next MES solution related to real time, cloud-based, light weight operation Zhang et al [23,24] Real-time data acquisition and manufacturing process monitoring Roló n et al [25,26] Intelligent manufacturing execution system Zhong et al [27] RFID-enabled real-time manufacturing execution system Liu et al [28] RFID-enabled real-time data acquisition system Iyama et al [29] High-quality relay production system Kwon et al [30] Real time process management system Assembly quality adaptive control system for complex mechanical products the complex of assembly process. To satisfy the predetermined assembly tolerance, Iyama et al [29] considered the part flow in a high-quality relay production system applying the corrective assembly approach incorporating machining, measurement and reprocessing errors simultaneously, and formulated the production rate of high-quality products.…”
Section: Major Areas Representative Personage Resolutionmentioning
confidence: 99%
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“…Quality control system Van Brussel et al [19,20] Holonic manufacturing systems: PROSA Chen et al [21] Algorithms for effective and automated conflict and error prevention and detection Mahdavi et al [22] Real-time quality control information system Helo et al [31] Next MES solution related to real time, cloud-based, light weight operation Zhang et al [23,24] Real-time data acquisition and manufacturing process monitoring Roló n et al [25,26] Intelligent manufacturing execution system Zhong et al [27] RFID-enabled real-time manufacturing execution system Liu et al [28] RFID-enabled real-time data acquisition system Iyama et al [29] High-quality relay production system Kwon et al [30] Real time process management system Assembly quality adaptive control system for complex mechanical products the complex of assembly process. To satisfy the predetermined assembly tolerance, Iyama et al [29] considered the part flow in a high-quality relay production system applying the corrective assembly approach incorporating machining, measurement and reprocessing errors simultaneously, and formulated the production rate of high-quality products.…”
Section: Major Areas Representative Personage Resolutionmentioning
confidence: 99%
“…Zhang et al [23,24] researched the application of RFID technology in the manufacturing process for the real-time data acquisition and manufacturing process monitoring, such as real-time person information, manufacturing cost, WIP, inventory, etc. In order to better solve the problem of production line stop with orders change, material shortages and equipment failure, Roló n and Martínez [25,26] defined an intelligent manufacturing execution system realizing the monitoring and analysis of order Agent and resource Agent. And the system has been developed to allow selfish behavior and adaptive decision-making in distributed execution control and emergent scheduling [25,26].…”
Section: Quality Control Systemmentioning
confidence: 99%
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“…Industry/ sector/ market/ product typology [9], [6], [8], [5], [7] Production and logistics typology [10], [11] Scope Enterprise level [1], [6], [12], [13] Operational support [1], [14], [6], [15] Functionality Functional configuration [7], [12], [6] Functional role and integration [7], [16], [14], [17], [18], [11] Functional structure [1], [12], [19], [20], [21], [11] Technological factors…”
Section: Focusmentioning
confidence: 99%
“…In industry applications, the industrial information integration engineering is used to resolve problem in this field (Xu 2014;Bulysheva et al 2015). Studies have been done on the practical application of the IS in aerospace engineering and other related fields (Berente et al 2012;Rolón et al 2012;Xu et al 2012), which provides useful reference for this paper.…”
Section: Introductionmentioning
confidence: 99%