Real-Time Early Warning System for Sustainable and Intelligent Plastic Film Manufacturing

Kim, Jonghyuk; Hwangbo, Hyunwoo

doi:10.3390/su11051490

Cited by 7 publications

(9 citation statements)

References 29 publications

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“…The manufacturing service in the intelligent manufacturing service mainly serves the whole process of product processing and manufacturing and provides services, such as monitoring, scheduling, online monitoring, sustainable manufacturing, and real-time warning for product processing. Kim and Hwangbo [216] developed an intelligent real-time early warning system for plastic film production with a prediction accuracy close to 100%.…”

Section: 321mentioning

confidence: 99%

Digital twin-based sustainable intelligent manufacturing: a review

2020

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As the next-generation manufacturing system, intelligent manufacturing enables better quality, higher productivity, lower cost, and increased manufacturing flexibility. The concept of sustainability is receiving increasing attention, and sustainable manufacturing is evolving. The digital twin is an emerging technology used in intelligent manufacturing that can grasp the state of intelligent manufacturing systems in real-time and predict system failures. Sustainable intelligent manufacturing based on a digital twin has advantages in practical applications. To fully understand the intelligent manufacturing that provides the digital twin, this study reviews both technologies and discusses the sustainability of intelligent manufacturing. Firstly, the relevant content of intelligent manufacturing, including intelligent manufacturing equipment, systems, and services, is analyzed. In addition, the sustainability of intelligent manufacturing is discussed. Subsequently, a digital twin and its application are introduced along with the development of intelligent manufacturing based on the digital twin technology. Finally, combined with the current status, the future development direction of intelligent manufacturing is presented.

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Section: 321mentioning

confidence: 99%

Digital twin-based sustainable intelligent manufacturing: a review

2020

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“…With the development of high-speed networking and smart manufacturing technology, there are new requirements for machine tool design in real-time signal monitoring related to the machine state [126], real-time early warning system [127]. For instance, the 5G network not only assists the establishment of machine tool system wireless monitoring platform, but also promotes real-time signal characteristics capture related to energy efficiency increasing [128].…”

Section: Other Technologiesmentioning

confidence: 99%

The Analysis of Key Technologies for Sustainable Machine Tools Design

Feng

Shi

2020

Applied Sciences

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Machine tools as indispensable tools for manufacturing products are typical high-energy, high-carbon manufacturing systems due to their larger mass, longer life cycles and huge resources and energy consumption. The current research trend of sustainable machine tools aims to reduce cost, energy consumption and increase sustainability without compromising their functionality, usability, productivity, accuracy, etc. However, there is a lack of systematic reviews about what are the key technologies for sustainable machine tools design. Thus, a comprehensive literature review of machine tool design for sustainability is needed in order to make clear how to design and evaluate sustainable machine tools from the viewpoint of life cycle sustainability analysis. The aim of this paper is to review the sustainable design and assessment aspects of machine tool design from partial goals to integrated aims according to whole sustainability dimensions such as the environment, economy and society, as well as involving key techniques in different life cycle stages. Recent research and study on improving directly or indirectly sustainability performance of machine tools according to focus points could be summarized as: design optimization of components such as lightweight using topology and bionic methods; structure design with modular design and layout; reducing cutting fluids and lubricant oil by employing minimum quantity lubrication, dry and cryogenic machining; reducing energy consumption; waste reduction by reusing, remanufacturing and recycling; sustainability assessment i.e., energy model, life cycle cost and life cycle social benefit. This paper assists designers and manufacturers to improve sustainability of machine tools by specific optimization measures in their activities.

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“…Some machines have lower costs but will fail at a certain frequency and need a certain amount of time to repair. The more common case is that the failure time and repair time obey an exponential distribution or uniform distribution [25][26][27]. The fault types are comprehensively considered in the manufacturing system.…”

Section: Restrictionsmentioning

confidence: 99%

Integrated Control Policy for a Multiple Machines and Multiple Product Types Manufacturing System Production Process with Uncertain Fault

You

Guo

et al. 2020

Processes

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The optimization of production cost has always been a key issue in manufacturing systems; for the single product type manufacturing systems, lots of research studies have proved the validity of the hedging point control policy in production cost control. However, due to the complexity of the multiple machines and multiple product types manufacturing systems with uncertain fault, it is difficult to achieve a good control effect only by using the hedging point control policy. To optimize the total production cost under constantly changing demands, an integrated control policy that combines the prioritized hedging point (PHP) control policy with the production capacity planning during production is proposed, and the decision variables are obtained by a particle swarm optimization (PSO) algorithm. The simulation experiments show the effectiveness of the proposed integrated control policy in production cost control for the multiple machines and multiple product types manufacturing system.

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Real-Time Early Warning System for Sustainable and Intelligent Plastic Film Manufacturing

Cited by 7 publications

References 29 publications

Digital twin-based sustainable intelligent manufacturing: a review

Digital twin-based sustainable intelligent manufacturing: a review

The Analysis of Key Technologies for Sustainable Machine Tools Design

Integrated Control Policy for a Multiple Machines and Multiple Product Types Manufacturing System Production Process with Uncertain Fault

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