Operations Research and Management Science ›› 2019, Vol. 28 ›› Issue (12): 1-6.DOI: 10.12005/orms.2019.0266

• Theony Analysis and Methodoloy Study •     Next Articles

Scheduling Optimization of Cloud Manufacturing Platform Processing Capability Sharing

ZHAO Dao-zhi, WANG Zhong-shuai   

  1. College of Management and Economics, Tianjin University, Tianjin 300072, China
  • Received:2018-03-30 Online:2019-12-25

云制造平台加工能力分享调度优化研究

赵道致, 王忠帅   

  1. 天津大学 理与经济学部,天津 300072
  • 作者简介:赵道致(1956-), 男,江苏无锡人,教授,博士,研究方向:物流与供应链管理,运营管理等;王忠帅(1994-),男,黑龙江鹤岗人,硕士研究生,研究方向:云制造供应链,物流管理等。
  • 基金资助:
    国家自然科学基金资助项目《物联网环境下的供应链资源优化配置与运营协调研究》(71472134)

Abstract: Scheduling optimization of cloud manufacturing platform processing capability sharing is the core operational issue of the cloud manufacturing model. In order to improve the utilization efficiency of enterprise resource in the sharing of cloud manufacturing platform, solve the problem of enterprise-level manufacturing resource scheduling under the actual cloud manufacturing demand environment , and meet the dynamic real-time requirements of the cloud manufacturing platform, a cloud processing capabilities scheduling model based on platform and sharing-oriented is constructed with the minimization duration as the scheduling target and the minimization cost as constraint target. An improved second order particle swarm optimization algorithm introducing cloud manufacturing task simple coding and random weights is designed to quickly solve optimal scheduling sequence of multiple cloud task orders, and an update strategy of the share ability window is proposed. Finally, a sample application verifies the feasibility and validity of cloud manufacturing platform processing capability scheduling mechanism.

Key words: cloud manufacturing platform, processing capability sharing, platform scheduling optimization, improved second-order particle swarm optimization

摘要: 云制造平台加工能力分享的调度优化是云制造模式的核心运营问题。为提高云制造平台对参与能力分享企业资源的利用率,解决实际云制造需求环境下企业级制造资源调度问题,达到云制造平台动态实时的要求,以最小化工期和成本为目标函数,构建了基于平台并面向分享的云加工能力调度模型。为快速求解多个云任务订单的最优调度序列,引入任务简易编码和随机权重,设计了改进的二阶粒子群算法,并提出可分享加工能力时间窗的更新策略。最后,通过算例验证云制造平台加工能力调度机制的可行性和有效性。

关键词: 云制造平台, 加工能力分享, 平台调度优化, 改进二阶粒子群算法

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