Manufacturing service reconfiguration optimization using hybrid bees algorithm in cloud manufacturing

Wenjun Xu*, Xin Zhong, Yuanyuan Zhao, Zude Zhou, Lin Zhang, Duc Truong Pham

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


During the execution process of a cloud manufacturing (CMfg) system, manufacturing service may become faulty to cause the violation of whole production processes against the predefined constraints. It is necessary to timely adjust service aggregation process to the runtime failure during manufacturing process. Therefore it is significant to do service reconfiguration to enhance the reliability of service-oriented manufacturing applications. The issues of the runtime service process reconfiguration based on QoS and energy consumption have been studied. In this paper, by contrast, an effective reconfiguration strategy is proposed to identify reconfiguration regions rather than the whole service process. Moreover, a hybrid bees algorithm (HBA) combining discrete bees algorithm (DBA) with discrete particle swarm optimization (DPSO) is developed to explore the replaceable services during service reconfiguration process. The experiment results show that most of manufacturing service aggregation processes can be repaired by replacing only a small number of services, and HBA is more efficient when finding the replaceable manufacturing services set compared with the existing algorithms.

Original languageEnglish
Title of host publicationChallenges and Opportunity with Big Data
Subtitle of host publication19th Monterey Workshop 2016, Beijing, China, October 8–11, 2016, Revised Selected Papers
EditorsLin Zhang, Lei Ren, Fabrice Kordon
PublisherSpringer Verlag
Number of pages12
ISBN (Print)9783319619934
Publication statusPublished - 1 Jan 2017
Event19th Monterey Workshop on Challenges and Opportunity with Big Data, 2016 - Beijing, China
Duration: 8 Oct 201611 Oct 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10228 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference19th Monterey Workshop on Challenges and Opportunity with Big Data, 2016


  • Cloud manufacturing
  • Hybrid bees algorithm
  • Manufacturing service reconfiguration
  • Reconfiguration optimization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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