基于加权协同网络的制造服务组合方法

doi:10.3901/JME.2018.16.070

机械工程学报 ›› 2018, Vol. 54 ›› Issue (16): 70-78.doi: 10.3901/JME.2018.16.070

• 特邀专栏：制造物联网与智能制造服务技术 • 上一篇下一篇

基于加权协同网络的制造服务组合方法

任磊, 任明仑

合肥工业大学教育部过程优化与智能决策重点实验室合肥 230009

收稿日期:2017-03-07 修回日期:2018-01-26 出版日期:2018-08-20 发布日期:2018-08-20
通讯作者: 任明仑(通信作者),男,1969年出生,教授,博士研究生导师。主要研究方向为服务科学、智慧制造、大数据分析等。E-mail:renml@hfut.edu.cn
作者简介:任磊,男,1988年出生,博士研究生。主要研究方向为服务协同、智慧制造、实时决策等。E-mail:renlei2005062134@aliyun.com
基金资助:
国家自然科学基金资助项目（71531008，71271073）。

Manufacturing Service Composition Method Based on Service Weighted Synergy Network

REN Lei, REN Minglun

Key Laboratory of Process Optimization and Intelligent Decision Making of Ministry of Education, Hefei University of Technology, Hefei 230009

Received:2017-03-07 Revised:2018-01-26 Online:2018-08-20 Published:2018-08-20

摘要/Abstract

摘要： 为解决复杂制造业务过程中的广泛存在的资源运输、信息传递和知识共享问题，保障任务的高效执行，将协同能力作为服务竞争力评估和选择的重要指标，提出基于加权协同网络的制造服务组合方法。根据云平台上服务交互合作大数据分析，运用社会关系强度计算衡量协同效应以构建加权协同网络。以最大化整体QoS值和协同效应为目标，建立制造服务选择多目标优化模型。通过双向学习、最优种群更新和群体交互速度更新机制，构造改进的引力搜索算法（Gravitational search algorithm，GSA）对模型求解。通过智能汽车云制造仿真试验，验证了模型和算法的有效性，得到符合实际制造场景的最优服务方案。

关键词: 服务社会网络, 服务组合, 改进GSA, 协同效应

Abstract: In order to solve the problems that resources translation, information handoff and knowledge sharing widely exist in the complex manufacturing business process and ensure the efficient task implementation, a manufacturing service composition method based on weighted synergy network is proposed, where collaboration capacity is a key index for service competence evaluation and selection. Based on big data analysis of service interaction and cooperation in cloud platform, synergy effect can be measured and obtained through the weighted aggregation of social relationship strength, and then service weighted synergy network is naturally constructed. Hence, a muti-objective optimization model of manufacturing service selection for highest overall QoS and synergy effect is put forward. Applying two-way learning, population update and group interaction based speed update mechanism, a improved GSA algorithm is built to solve the model. Through the simulation experiment of intelligent automobile cloud manufacturing, the validity of our model and algorithm is verified, and the optimal service scheme in line with the actual manufacturing situation is obtained finally.

Key words: improved GSA, service composition, service social network, synergy effect

中图分类号:

TP393

任磊, 任明仑. 基于加权协同网络的制造服务组合方法[J]. 机械工程学报, 2018, 54(16): 70-78.

REN Lei, REN Minglun. Manufacturing Service Composition Method Based on Service Weighted Synergy Network[J]. Journal of Mechanical Engineering, 2018, 54(16): 70-78.

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基于加权协同网络的制造服务组合方法

Manufacturing Service Composition Method Based on Service Weighted Synergy Network

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