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Service requirement conflict resolution based on ant colony optimization in group-enterprises-oriented cloud manufacturing

机译:面向集团企业的云制造中基于蚁群优化的服务需求冲突解决

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摘要

Cloud manufacturing (CMfg) platform for group enterprises (GE) is a kind of private CMfg, which is to integrate and optimize GE's internal resources and capacity for large complex equipment manufacturing. The platform makes a connection between distributed and heterogeneous manufacturing resources to build a virtual pooling of resources for the group. However, it is evident that uncertainties and dynamics inherently exist in the platform and it causes manufacturing service requirement conflict among multiple projects. In order to address this issue, the management process of large complex equipment manufacturing project in GE-oriented CMfg platform is described. And next, this paper analyzes the causes and characteristic of service conflict in the platform. Then, a multi-objective mathematical model of conflict resolution is proposed. The proposed model considered both global target of shortest duration and partial target of tasks change minimization. Moreover, a method based on serial schedule generation scheme (SSGS) and ant colony optimization (ACO) algorithm is put forward to solve the model. Finally, a conflict resolution case study in a cement equipment manufacturing group enterprise is provided to illustrate the application of the proposed the model and algorithm.
机译:面向集团企业(GE)的云制造(CMfg)平台是一种私有CMfg,用于集成和优化GE内部资源和大型复杂设备制造的能力。该平台在分布式制造资源和异构制造资源之间建立连接,以为组建立虚拟资源池。但是,很明显,平台中固有地存在不确定性和动态性,这会导致多个项目之间的制造服务需求冲突。为了解决这个问题,描述了在面向GE的CMfg平台中大型复杂设备制造项目的管理过程。然后,本文分析了平台中服务冲突的原因和特征。然后,提出了解决冲突的多目标数学模型。所提出的模型同时考虑了最短持续时间的全局目标和任务更改最小化的部分目标。提出了一种基于序列表生成方案(SSGS)和蚁群优化(ACO)算法的模型求解方法。最后,以水泥设备制造集团企业中的冲突解决案例为例,说明了该模型和算法的应用。

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