An Optimal Production Scheme for Reconfigurable Cloud Manufacturing Service System

Wang, Min; Pang, Shan chen; Song, Yu; Qiao, Sibo; Zhang, Xue; Hao, Yanpeng

doi:10.1109/tii.2022.3169979

Cited by 8 publications

(3 citation statements)

References 37 publications

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“…The principle of intelligent construction information sharing is based on technologies such as the IoT, integrating physical systems into computer systems through software, and establishing links between enterprises to carry out real-time data sharing 36 . Cloud computing technology helps store massive real-time data of industrial manufacturing from diverse sources, analyze individual customer needs, guide and optimize production and inventory management 37 . In manufacturing systems, machine learning technologies can extract valuable information from big data to satisfy managers monitoring defects, detecting failures, and predicting future needs 38 .…”

Section: Literature Reviewmentioning

confidence: 99%

Incentive strategy of safe and intelligent production in assembled steel plants from the perspective of evolutionary game

Wang

Chen

et al. 2023

Sci Rep

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Due to the numerous cross-operations and poor information communication, it is easy to cause production safety accidents in traditional assembled steel plants. The transformation and upgrading of smart production in the assembly steel plants is helpful to improve the efficiency of safety management. In order to effectively reduce the safety risks in the production of assembled steel components, this paper integrates policy incentives and safety supervision, constructs an evolutionary game model between the government and assembled steel producers, and analyzes the strategic evolution rules and stability conditions of stakeholders through the replication dynamics equation. Moreover, based on the empirical simulation of the Fuzhou X Steel Structure Plant project, the effectiveness of the evolutionary model incentive strategy setting is verified. The results show that whether an assembled steel plants adopt a smart management strategy or not is influenced by the government's incentive subsidy mechanism, penalty mechanism, the benefits and costs generated by traditional/ smart management, the probability and loss of safety accidents and other factors. The conclusion is important for upgrading the safety management mode, improving the safety production efficiency and constructing the safety supervision system of the assembled steel smart plant.

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Section: Literature Reviewmentioning

confidence: 99%

Incentive strategy of safe and intelligent production in assembled steel plants from the perspective of evolutionary game

Wang

Chen

et al. 2023

Sci Rep

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“…To maximize the benefits of such a revolution, principles from the Serviceoriented Architecture (SoA) paradigm has been introduced in manufacturing [1], generating the concept of Service-oriented Manufacturing (SoM) [2]. This paradigm assumes that the functionalities carried out by pieces of equipment are organized into ''machine services'', hiding internal implementation details, and exposing only the machine's interaction protocols, by means of specific drivers [3].…”

Section: Introductionmentioning

confidence: 99%

Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols

Gaiardelli,

Spellini,

Panato

et al. 2024

IEEE Access

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Modern production lines are often composed of machinery from different vendors that must be connected with each other to increase the overall interoperability and flexibility. A common problem that arises in such systems is the complexity of the configuration task: they usually require each component to be manually configured. Thus, machinery requires different configuration strategies, negatively impacting scalability and increasing the chance of human errors. Furthermore, each time the manufacturing system has to be updated, the entire procedure must be repeated. This paper proposes a software architecture abstracting the complexity of existing production lines by enabling the service-oriented manufacturing paradigm. Then, it presents a strategy to model manufacturing systems, covering the topology of the production plant, machinery, and production recipes. The paper also proposes a model-based methodology to automatically configure the reference software architecture and hence the machines in the system. The application of the contributions to a fully-fledged production line shows the effectiveness of relying on model-based automatic configuration.

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“…With the increasing personalized demand of customers and the shortening of the product life cycle, more and more manufacturing enterprises and government departments are beginning to pay attention to personalized production and flexible production [1][2][3][4]. The intelligent factory is an important option to solve these problems.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

Jin

Cheng

2023

Sustainability

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Considering the advantages of 3D printing, intelligent factories and distributed manufacturing, the 3D printing distributed intelligent factory has begun to rise in recent years. However, because the supply chain network of this kind of factory is very complex, coupled with the impact of customized scheduling and environmental constraints on the enterprise, the 3D printing distributed intelligent factory is facing the great challenge of realizing green supply chain networks and optimizing production scheduling at the same time, and thus a theoretical gap appears. This paper studies the hybrid optimization of green supply chain networks and scheduling of the distributed 3D printing intelligent factory. Firstly, according to the green supply chain network architecture of the distributed 3D printing intelligent factory, the cost minimization model is constructed. Secondly, mathematical software is used to solve the model, and the scheduling plan can be worked out. Finally, through the simulation analysis, it is concluded that the influencing factors such as demand, factory size and production capacity complicate the production distribution, and it can be observed that the carbon emission cost has gradually become the main factor affecting the total cost. The study has a reference value for the management decision making of the distributed 3D printing intelligent factory under the background of carbon emissions.

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An Optimal Production Scheme for Reconfigurable Cloud Manufacturing Service System

Cited by 8 publications

References 37 publications

Incentive strategy of safe and intelligent production in assembled steel plants from the perspective of evolutionary game

Incentive strategy of safe and intelligent production in assembled steel plants from the perspective of evolutionary game

Enabling Service-Oriented Manufacturing Through Architectures, Models, and Protocols

Hybrid Optimization of Green Supply Chain Network and Scheduling in Distributed 3D Printing Intelligent Factory

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