Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment
Integration of process planning and scheduling using mobile-agent based approach in a networked manufacturing environment
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DOI：
10.1016/j.cie.2016.01.017
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发表时间：
2016-04
期刊：
影响因子：
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通讯作者：
V. Manupati;G. Putnik;M. Tiwari;P. Ávila;M. M. Cunha-M.
中科院分区：
文献类型：
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作者：
V. Manupati;G. Putnik;M. Tiwari;P. Ávila;M. M. Cunha-M.
智能和/或最近出现的网络化制造系统的有效和高效的实施需要企业级集成。网络化制造在当前的竞争环境中提供了几个优势，通过缩短制造周期时间和保持生产灵活性，从而实现几个可行的工艺方案。在这个方向上的第一步是集成制造功能，如工艺规划和调度的多作业在一个基于网络的制造系统。很难确定一个同时满足相互冲突的目标的适当计划。本文描述了一种基于移动代理的协商方法，以集成制造功能的分布式方式，其基本框架和功能。利用Protégé软件将知识转换为Web本体语言（OWL）文档的可扩展标记语言（XML）模式，实现了本体的构建。生成的XML模式已被用于在整个制造网络中传输信息，以实现产品数据模型和制造资源的智能互操作集成。为了验证所提出的方法的可行性，一个说明性的例子沿着不同的生产环境，包括生产需求波动，并比较了所提出的方法的性能和它的有效性，基于进化算法的混合动态DNA（HD-DNA）算法。结果表明，该方案是非常有效的，合理的制造功能集成。
Effective and efficient implementation of intelligent and/or recently emerged networked manufacturing systems require an enterprise level integration. The networked manufacturing offers several advantages in the current competitive atmosphere by way to reduce, by shortening manufacturing cycle time and maintaining the production flexibility thereby achieving several feasible process plans. The first step in this direction is to integrate manufacturing functions such as process planning and scheduling for multi-jobs in a network based manufacturing system. It is difficult to determine a proper plan that meets conflicting objectives simultaneously. This paper describes a mobile-agent based negotiation approach to integrate manufacturing functions in a distributed manner; and its fundamental framework and functions are presented. Moreover, ontology has been constructed by using the Protégé software which possesses the flexibility to convert knowledge into Extensible Markup Language (XML) schema of Web Ontology Language (OWL) documents. The generated XML schemas have been used to transfer information throughout the manufacturing network for the intelligent interoperable integration of product data models and manufacturing resources. To validate the feasibility of the proposed approach, an illustrative example along with varied production environments that includes production demand fluctuations is presented and compared the proposed approach performance and its effectiveness with evolutionary algorithm based Hybrid Dynamic-DNA (HD-DNA) algorithm. The results show that the proposed scheme is very effective and reasonably acceptable for integration of manufacturing functions.