Review on Energy Consumption Optimization Methods of Typical Discrete Manufacturing Equipment

Yao, Ming; Shao, Zhufeng; Zhao, Yanling

doi:10.1007/978-3-030-89134-3_5

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…The authors of different publications do not have a unanimous opinion on the energy consumption of industrial robots and their direct impact on a company's carbon footprint. Yao et al [64] propose the introduction of intelligent optimization in connection with the automation and robotization of production. This issue is also addressed by Wang et al [65], who highlight the relationship between the energy consumption of robots and production efficiency.…”

Section: Trends In Robotics Energy Consumptionmentioning

confidence: 99%

Selected Issues, Methods, and Trends in the Energy Consumption of Industrial Robots

Sękala,

Blaszczyk,

Foit

et al. 2024

Energies

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Industrial robots, like all machines, require energy to operate, which is why energy efficiency in industrial robotics has been a subject of consideration in recent years in many scientific and industrial centers. Interest in the topic is especially noticeable in Industry 4.0. Research on energy efficiency stems from the emergence of new possibilities in terms of making strategic decisions related to manufacturing processes. As energy-efficient production is an essential part of sustainable development, the energy efficiency of industrial robots must be considered. The need to reduce costs while maintaining quality and increasing production efficiency has necessitated the implementation of modern solutions aimed at reducing electricity consumption. The rational use of electrical energy, especially in the industrial sector, significantly reduces production costs and, consequently, contributes to a company’s profits and competitiveness. This article aims to provide an overview of energy efficiency issues based on recently published articles. This article discusses the appropriate selection of robots, their programming, energy-efficient trajectory planning, and the monitoring of the operation of the robotic system to minimize energy consumption. Typical industrial applications of robots are also mentioned and discussed.

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Section: Trends In Robotics Energy Consumptionmentioning

confidence: 99%

Selected Issues, Methods, and Trends in the Energy Consumption of Industrial Robots

Sękala,

Blaszczyk,

Foit

et al. 2024

Energies

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“…The energy consumption optimization (ECO) of IRs can be divided into two approaches: hardware-based optimization methods and software-based optimization methods [4].…”

Section: Related Workmentioning

confidence: 99%

“…The software-based ECO methods of IRs are concerned with reducing the energy consumption without making hardware modifications, generally involving parameter modification [2], trajectory optimization [11], and operation scheduling [12]. Compared with the hardware approach, the software approach has the advantages of low cost and practical applicability [4].…”

Section: Related Workmentioning

confidence: 99%

Online and Modular Energy Consumption Optimization of Industrial Robots

Torayev

Martínez-Arellano

Chaplin

et al. 2024

IEEE Trans. Ind. Inf.

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Industrial robots contribute to a considerable amount of energy consumption in manufacturing. However, modeling the energy consumption of industrial robots is a complex problem as it requires considering components such as the robot controller, fans for cooling, the motor, the friction of the joints, and confidential parameters, and it is difficult to consider them all in modeling. Many authors investigated the effect of operating parameters on the energy consumption of industrial robots. However, there is no prescriptive methodology to determine those parameter values because of the challenges in the modeling of industrial robots. This work investigates an industrial robot and the manufacturing process together and proposes a black-box model-based energy consumption optimization approach. Our contribution to the research is the new online and data-efficient methodology, prescriptive algorithm, and the analysis of operating parameters' effects on industrial robots' energy consumption. The proposed methodology was tested using two real FANUC industrial robots in three industrial settings.

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“…Devices used to monitor energy in shop-floor include smart meters, current and voltage clamps, and machine-integrated devices that provide out-of-the-box instantaneous power consumption [31]. Industrial robots, for example, can provide power consumption for each joint of the robot directly from a robot controller [32].…”

Section: A Data Sourcesmentioning

confidence: 99%

Big Data Life Cycle in Shop-Floor–Trends and Challenges

et al. 2023

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Big data is defined as a large set of data that could be structured or unstructured. In manufacturing shop-floor, big data incorporates data collected at every stage of the production process. This includes data from machines, connecting devices, and even manufacturing operators. The large size of the data available on the manufacturing shop-floor presents a need for the establishment of tools and techniques along with associated best practices to leverage the advantage of data-driven performance improvement and optimization. There also exists a need for a better understanding of the approaches and techniques at various stages of the data life cycle. In the work carried out, the data life-cycle in shop-floor is studied with a focus on each of the components -Data sources, collection, transmission, storage, processing, and visualization. A narrative literature review driven by two research questions is provided to study trends and challenges in the field. The selection of papers is supported by an analysis of n-grams. Those are used to comprehensively characterize the main technological and methodological aspects and as starting point to discuss potential future research directions. A detailed review of the current trends in different data life cycle stages is provided. In the end, the discussion of the existing challenges is also presented.

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Review on Energy Consumption Optimization Methods of Typical Discrete Manufacturing Equipment

Cited by 6 publications

References 38 publications

Selected Issues, Methods, and Trends in the Energy Consumption of Industrial Robots

Selected Issues, Methods, and Trends in the Energy Consumption of Industrial Robots

Online and Modular Energy Consumption Optimization of Industrial Robots

Big Data Life Cycle in Shop-Floor–Trends and Challenges

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