工业工程

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基于过程-数据模型的制造费用资源优化配置

  

  1. 大连工业大学 工业工程系,辽宁 大连 116023
  • 出版日期:2015-12-31 发布日期:2016-03-24
  • 作者简介:王雅君(1974-),女,内蒙古自治区人,讲师,博士,主要研究方向为现代成本管理、企业信息化.
  • 基金资助:

    国家自然科学基金资助项目(51305051);辽宁省教育厅科学研究资助项目(L2012194)

Cost Resources Optimization Configuration Based on Data-Process Model

  1. School of Mechanical Engineering, Dalian Polytechnic University, Dalian 116023, China
  • Online:2015-12-31 Published:2016-03-24

摘要:

为优化制造企业的成本资源配置,以过程管理理论为基础,通过在生产过程数据和现场生产活动间建立动态映射关系,描述生产过程和生产数据之间的互动行为,建立了基于过程-数据模型,进行成本资源信息的采集,结合数据包络分析(DEA)和联盟博弈分析方法研究产品生产过程中制造费用资源配置问题,建立了基于核心解的3种制造费用分配模型,采用遗传算法(GA)进行模型求解。通过实际应用验证了此优化配置模型的有效性。

关键词: 制造企业, 过程-数据模型, 成本管理, 资源配置

Abstract:

For optimizing cost resources of manufacturing enterprise, optimization configuration methods are studied based on the theory of process management. Through setting up dynamic mapping relationship between production process data and production activities at the scene, the interaction is described and theory structure and data structure are set up based on data-process model for the collection of cost resource information. Cost management data is extracted from complex process data and history data. Combining Data Envelopment Analysis (DEA) and cooperative game theory, the allocation problems of cost resources in production process are studied. Three nucleolus-based cost allocation models, as well as their algorithms——Genetic Algorithm, are proposed. The proposed models and methods are validated in practice.

Key words: complicated production environment, data-process model, cost management, resources configuration