考虑绿色场景中多动态信息扰动的 3DPCP 任务调度策略

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL
JianJia He, Jian Wu, K. Siau
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引用次数: 0

摘要

3D打印云平台(3DPCP)在打破供需双方信息孤岛、通过信息集成和智能生产有效减少浪费方面发挥着举足轻重的作用。然而,由于3DPCP在绿色场景中调度的复杂性和多动态信息扰动,揭示了传统任务调度方法在3DPCP中存在的问题。这些问题表现为考虑不全面、绿色性能不佳、对动态变化的适应能力弱等。在 3DPCP 中,迫切需要设计实用的方法来实现绿地场景中的多动态信息扰动。因此,本文首先定义了绿色场景多动态信息扰动的 3DPCP 任务调度问题。其次,文章提出了一种任务调度模型和启发式任务调度策略,以最小化平均成本和单位优质产品的二氧化碳(CO2)排放量。最后,文章通过仿真实验验证了所提策略的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Task Scheduling Strategy for 3DPCP Considering Multidynamic Information Perturbation in Green Scene
The 3D printing cloud platform (3DPCP) plays a pivotal role in breaking down the information silos between supply and demand, effectively reducing waste through information integration and intelligent production. However, due to the complexity of 3DPCP scheduling in green scenes and the multidynamic information perturbations, unveils problems in traditional task scheduling methods in 3DPCP. These issues manifest as incomplete considerations, subpar green performance, and weak adaptability to dynamic changes. There is an urgent need to design practical methods to realize the multidynamic information perturbations in green scenes within 3DPCP. Therefore, this article first defines the 3DPCP task scheduling problem for multidynamic information perturbation in green scenes. Second, the article proposes a task scheduling model and a heuristic task scheduling strategy to minimize both the average cost and carbon dioxide (CO2) emissions per unit of quality product. Finally, the article validates effectiveness and superiority of the proposed strategy through simulation experiments.
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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