Early quality monitoring in the development of real-time reactive systems

Ormandjieva, Olga; Alagar, Vangalur S.; Zheng, Mao

doi:10.1016/j.jss.2007.12.808

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…The implementation of such DMS architectures requests for a coordinated operation plan over the network of shops. To improve the level of operation plan in a DMS shop, it is necessary to design an effective intelligent planning system that helps to control the manufacturing activities, analyze information and support real-time policy making (Ormandjieva et al , 2008). The implementation of a distributed quality information system requires gathering, processing, storage and the distribution of products data among shop floors and the central control office (Woo and Law, 2002; Molina and Medina, 2002; Chin et al , 2004).…”

Section: Literature Reviewmentioning

confidence: 99%

Design an intelligent real-time operation planning system in distributed manufacturing network

Lin

2017

IMDS

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Purpose With the new generation Industry 4.0 coming, as well as globalization and outsourcing, products are fabricated by different parties in the distributed manufacturing network and enterprises face the challenge of consistent planning of semi-finished product in each manufacturing process in different geographical locations. The purpose of this paper is to propose a real-time operation planning system in the distributed manufacturing network to intelligently control/plan the manufacturing networks. Design/methodology/approach The feature of the proposed system is to model and simulate large distributed manufacturing networks to streamline the mechanical and production engineering processes with radio frequency identification (RFID) technology, which can keep track of process variants. To deal with concurrency and synchronization, the hierarchical timed colored Petri net (HTCPN) formalism for modeling is selected in this study. This method can help to model graphically and test the discrete events of concurrent operations. Fuzzy inference system can help for knowledge representation, so as to provide knowledge-based decision assistance in distributed manufacturing environment. Findings In this proposed system, there are two main sub-systems: one is the real-time modeling system, and the other one is intelligent operation planning system. These two systems are not parallel in the whole systems while the intelligent operation planning system should be embedded in any stage of the real-time modeling system as needed. That means real time modeling system provides the holistic structure of the studied distributed manufacturing system and realize real-time data transfer and information exchange. At the same time the embedded intelligent operation planning system fulfill operation plan function. Originality/value This new intelligent real-time operation system realizes real-time modeling with RFID-based HTCPN and smart fuzzy engine to fulfill intelligent operation planning which is highly desirable in the environment of Industry 4.0. The new intelligent manufacturing architecture will highly reduce the traditional planning workload and improve the planning results without manual error interference. The new system has been applied in a practical case to demonstrate its feasibility.

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Section: Literature Reviewmentioning

confidence: 99%

Design an intelligent real-time operation planning system in distributed manufacturing network

Lin

2017

IMDS

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“…To improve the level of quality in a DMS shop, it is necessary to design an effective quality information system that helps to control the manufacturing activities, analyze information, and support real-time policy making (Ormandjieva et al, 2008). The implementation of a distributed quality information system requires gathering, processing, storage and the distribution of quality-related data among shop floors and the central control office (Woo et al, 2002, Molina et al, 2002, Chin et al 2004.…”

Section: Distributed Manufacturing Networkmentioning

confidence: 99%

Development of an RFID-based quality management system in distributed manufacturing network

Lv¹

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Lee for her constant help, encouragement and patient guidance. Her insightful comments and suggestions are valuable towards the completion of this dissertation. At the same time, I'm also very grateful to my supervisor, Dr. Mao Jianfeng for his help and support on my last period of PhD study. Furthermore, I would like to express my deepest gratitude and love to my parents and boyfriend as well as friends Jin Xianfei, Lin Danping, Hongzhen et. al. from SMA lab. Their love and support give me courage to defeat difficulties and keep on going ahead. Special thanks to my boyfriend Mr Tu Lei who is also pursuing PhD degree in NTU. It is his support and accompany makes me brave enough to insist on. Thanks for Mr Teo from Case Company located in Singapore with the data provision for my case study.

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Adapting Multi-Criteria Decision Analysis for Assessing the Quality of Software Products. Current Approaches and Future Perspectives

Trendowicz¹,

Kopczyńska²

2014

Advances in Computers

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Early quality monitoring in the development of real-time reactive systems

Cited by 3 publications

References 7 publications

Design an intelligent real-time operation planning system in distributed manufacturing network

Design an intelligent real-time operation planning system in distributed manufacturing network

Development of an RFID-based quality management system in distributed manufacturing network

Adapting Multi-Criteria Decision Analysis for Assessing the Quality of Software Products. Current Approaches and Future Perspectives

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