| 云制造服务组合评价方法与仿真研究综述 |
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| 引用本文： | 张晓冬,任大伟.云制造服务组合评价方法与仿真研究综述[J].科技管理研究,2023(10):50-57. |
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| 作者姓名： | 张晓冬 任大伟 |
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| 作者单位： | 北京科技大学经济管理学院 |
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| 基金项目： | 国家自然科学基金项目“智能制造环境下生产系统的组织集成建模与协同仿真研究”（71871018）； |
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| 摘 要： | 云制造服务组合评价理论与方法的发展是推动云制造走向智能化和自动化的重要因素，但云制造服务组合评价是一个多学科交叉的动态问题，因而难以形成统一的评价体系或是得出准确结果。为此，利用中国知网、万方数据库、爱思唯尔数据库和IEEE等四大引文数据库检索梳理2017—2022年国内外云制造服务组合相关文献，将云制造服务组合流程划分为用户需求发布、任务分解、云平台处理机、服务匹配、服务组合和资源匹配等六大模块，研究发现：现有评价方法主要包括定性与定量结合评价、多属性决策评价、静态与动态结合评价3种类型；在基于云制造服务组合、“工业4.0”生产和仿真实验3个集合交集的建模中，多主体建模方法因适合描述云制造的不确定性、分布性和动态性而常被用来仿真云制造服务系统中的实际问题。最后根据对已有相关文献的梳理研究，提出云制造服务组合领域今后有待解决或改善的四大问题：评价稳定性问题、评价方法实际应用有效性问题、应用数据缺乏问题和技术应用可靠性问题。
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| 关 键 词： | 云制造 服务组合 多主体仿真 评价方法 |
| 收稿时间： | 2022/10/7 0:00:00 |
| 修稿时间： | 2023/6/6 0:00:00 |
Review of Cloud Manufacturing Service Composition Evaluation Methods and Simulation Research |
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| Abstract: | Significance/Objective] The optimization of the service composition manufacturing mode and the search for an evaluation method to support the service composition are hot research issues in the field of cloud manufacturing. With the deepening of manufacturing technology, cloud manufacturing has developed from unit digital manufacturing to networked and intelligent manufacturing. As a comprehensive technology that integrates computer, model and cloud manufacturing service combination theory, modeling and simulation technology plays an important role in the development of cloud manufacturing. In view of the current situation of cloud manufacturing service combination evaluation and simulation research at domestic and abroad, this paper introduces the research background, characteristics and NP-hard problem of cloud manufacturing service composition process. Meanwhile, the theory and evaluation method of cloud manufacturing service composition are discussed, and the research and application of modeling and simulation technology in service composition are summarized, which help to promote the further development of cloud manufacturing service composition. Methods] Firstly, the cloud service composition evaluation system and evaluation methods are refined to address the problems of cloud manufacturing service composition evaluation theory. Then, reasonable views and suggestions are given from different perspectives such as indexes, algorithms and models. Finally, the existing techniques and applications of simulation models and more reasonable simulation modeling methods are summarized. Results/Conclusions] Three main evaluation systems exist for cloud manufacturing service composition: Quality of Service (QoS) evaluation, service reputation evaluation and other service evaluation. Based on these three evaluation systems, domestic and abroad scholars have constructed cloud manufacturing service composition evaluation models from different perspectives in traditional and complex environments, and these models have achieved good application results in service composition optimization, IoT service optimization, natural language processing and other fields. It is found that the multi-agent simulation modeling method is more suitable for describing the distribution, dynamics and diversity of cloud manufacturing service composition. |
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| Keywords: | Cloud manufacturing Service composition Evaluation system Evaluation methods Modeling and simulation |
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