Construction of Intelligent Manufacturing Workshop Based on Lean Management

Gao, Qing; Rongbo, Shi; Wang, Gang

doi:10.1016/j.procir.2016.10.118

Cited by 13 publications

(6 citation statements)

References 2 publications

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“…In addition to the unit component set, various data and documents involved in the intelligent manufacturing workshop are defined as attributes, and the set of all information data contained in the attributes is called an attribute set. According to the form of information data, attribute sets can be divided into static attribute sets and process attribute sets [23]. Static attribute sets represent information data sets that will not change or change slowly, such as material codes, order and ticket numbers, equipment identification and model numbers, etc.…”

Section: Hierarchical Architecture Of Information Model For a Lithium...mentioning

confidence: 99%

Research and Application of Information Model of a Lithium Ion Battery Intelligent Manufacturing Workshop Based on OPC UA

Han

Wang

et al. 2020

Batteries

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Automation equipment with different functions from different manufacturers is common in lithium ion battery manufacturing workshops, which is manifested as heterogeneous data distributed at different network levels at the information level. The interconnection between a workshop system and equipment is the basis for realizing manufacturing informatization and intelligence, and is a core problem of intelligent manufacturing workshop integration. The key to solve this problem is to establish a standardized and consistent information model. Aiming at the problem of information interconnection, this paper established an information model of the intelligent manufacturing workshop of lithium ion batteries based on the analysis of the architecture, functional categories, and information interaction of the intelligent manufacturing workshop. Then, by clarifying the attribute set, component set, and the information objects contained in each information model, the hierarchical architecture of the information model was constructed. Then, the rules that map the information model in to the OLE for Process Control Unified Architecture (OPC UA) address space is established. The approach for implementing data storage and interaction of the information model based on the OPC UA server/client are also discussed. Finally, taking the soft-pack battery manufacturing workshop as an example, the information model is applied to realize the interconnection and interoperability of production management data, material management data, equipment management data, and quality management data among various levels of the workshop, which verifies the feasibility of the proposed information model.

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Section: Hierarchical Architecture Of Information Model For a Lithium...mentioning

confidence: 99%

Research and Application of Information Model of a Lithium Ion Battery Intelligent Manufacturing Workshop Based on OPC UA

Han

Wang

et al. 2020

Batteries

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“…Starting from the workshop level, the basis of manufacturing activities, in order to gradually solve the interaction and integration between the physical world and the information world in the workshop level, and ultimately achieve the goal of intelligent production and precise service, the concept of digital workshop/factory was put forward many years ago. Scholars and practitioners [21][22][23][24][25]…”

Section: Literature Reviewmentioning

confidence: 99%

A Referenced Cyber Physical System for Compressor Manufacturing

Jin¹,

Wang

Lu³

2020

MATEC Web Conf.

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Compressor is a typical high-end discrete product，with the shortening of product life cycle and the enhancement of the degree of product customization, the traditional compressor manufacturing system architecture cannot meet the requirements of comprehensive digital management of compressor from body scheme design to parts production line, logistics management, operation and maintenance monitoring and evaluation. This paper presents a compressor manufacturing system architecture based on digital twinning, and establishes an Internet platform for compressor industry oriented to remote coordination from three aspects of compressor design, production, operation and maintenance. The platform includes industrial Internet infrastructure layer, physical space entity model layer, virtual space multidimensional model layer, physical space and virtual space multidimensional model correlation and mapping layer, big data intelligent analysis decision-making layer, and digital twin application layer. Through the establishment of the compressor product design and simulation model of digital twin, compressor production process digital twin model, compressor fault diagnosis and remote operations digital twin model, implementation is based on the number of compressor collaboration in manufacturing industrial Internet platform twin system, leading the transformation and upgrading of intelligent manufacturing industry, compressor industry sustainable development ability and international competitiveness.

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“…Thus, the traditional machines are able to become aware of the environment and provide self-optimization. This enables the companies to deal with the challenge of producing more customized and high-quality products demanded by the market [3], [6]- [8].…”

Section: Smart Manufacturingmentioning

confidence: 99%

Production Scheduling Requirements to Smart Manufacturing

Alemão

Rocha

Barata

2019

IFIP Advances in Information and Communication Technology

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The production scheduling has attracted a lot of researchers for many years, however most of the approaches are not targeted to deal with real manufacturing environments, and those that are, are very particular for the case study. It is crucial to consider important features related with the factories, such as products and machines characteristics and unexpected disturbances, but also information such as when the parts arrive to the factory and when should be delivered. So, the purpose of this paper is to identify some important characteristics that have been considered independently in a lot of studies and that should be considered together to develop a generic scheduling framework to be used in a real manufacturing environment.

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Construction of Intelligent Manufacturing Workshop Based on Lean Management

Cited by 13 publications

References 2 publications

Research and Application of Information Model of a Lithium Ion Battery Intelligent Manufacturing Workshop Based on OPC UA

Research and Application of Information Model of a Lithium Ion Battery Intelligent Manufacturing Workshop Based on OPC UA

A Referenced Cyber Physical System for Compressor Manufacturing

Production Scheduling Requirements to Smart Manufacturing

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