...
首页> 外文期刊>Advances in decision sciences >Model Driven Integrated Decision-Making in Manufacturing Enterprises
【24h】

Model Driven Integrated Decision-Making in Manufacturing Enterprises

机译:制造企业中模型驱动的综合决策

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Decision making requirements and solutions are observed in four world class Manufacturing Enterprises (MEs). Observations made focus on deployed methods of complexity handling that facilitate multi-purpose, distributed decision making. Also observed are examples of partially deficient “integrated decision making” which stem from lack of understanding about how ME structural relations enable and/or constrain reachable ME behaviours. To begin to address this deficiency the paper outlines the use of a “reference model of ME decision making” which can inform the structural design of decision making systems in MEs. Also outlined is a “systematic model driven approach to modelling ME systems” which can particularise the reference model in specific case enterprises and thereby can “underpin integrated ME decision making”. Coherent decomposition and representational mechanisms have been incorporated into the model driven approach to systemise complexity handling. The paper also describes in outline an application of the modelling method in a case study ME and explains how its use has improved the integration of previously distinct planning functions. The modelling approach is particularly innovative in respect to the way it structures the coherent creation and experimental re-use of “fit for purpose” discrete event (predictive) simulation models at the multiple levels of abstraction.
机译:决策要求和解决方案在四个世界级的制造企业(ME)中得到遵守。观察集中在简化的复杂性处理方法上,这些方法有助于实现多用途,分布式决策。还观察到部分缺乏“综合决策”的示例,这些示例是由于对ME结构关系如何启用和/或限制可达到的ME行为缺乏了解。为了解决这一缺陷,本文概述了“ ME决策参考模型”的使用,该模型可以为ME决策系统的结构设计提供依据。还概述了“系统模型驱动的ME系统建模方法”,该方法可以在特定案例企业中具体化参考模型,从而“为集成的ME决策提供基础”。相干分解和表示机制已合并到模型驱动的方法中,以系统化复杂性处理。本文还概述了建模方法在案例研究ME中的应用,并说明了建模方法的使用如何改善了以前截然不同的计划功能的集成。建模方法就其在多个抽象层次上构建“适合目的”离散事件(预测)仿真模型的连贯创建和实验重用的方式而言,尤其具有创新性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号