面向智能制造的多要素生产成本建模方法——(浙江大学智能系统与控制研究所，浙江 杭州 310027)

冯毅萍; 章途潮; 陈歆

doi:10.11949/0438-1157.20191492

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面向智能制造的多要素生产成本建模方法——(浙江大学智能系统与控制研究所，浙江杭州 310027)

过程系统工程 | 更新时间：2020-06-24

- 面向智能制造的多要素生产成本建模方法——(浙江大学智能系统与控制研究所，浙江杭州 310027)
- Multi factor production cost modeling method for intelligent manufacturing
- 化工学报 2020年71卷第3期页码：1111-1121
- 作者机构：
  
  浙江大学智能系统与控制研究所，浙江杭州310027
- 作者简介：
  
  冯毅萍（1969—），女，博士，研究员，ypfeng@zju.edu.cn
- 基金信息：
  
  国家重点研发计划项目(2019YFB170049);国家工信部智能制造新模式应用项目(2017)
- DOI：10.11949/0438-1157.20191492
  中图分类号： TP 273
- 收稿：2019-12-08，
  
  修回：2019-12-16，
  
  纸质出版：2020-03-05
- 稿件说明：
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冯毅萍, 章途潮, 陈歆. 面向智能制造的多要素生产成本建模方法[J]. 化工学报, 2020, 71(3): 1111-1121

FENG Yiping, ZHANG Tuchao, CHEN Xin. Multi factor production cost modeling method for intelligent manufacturing[J]. CIESC Journal, 2020, 71(3): 1111-1121
冯毅萍, 章途潮, 陈歆. 面向智能制造的多要素生产成本建模方法[J]. 化工学报, 2020, 71(3): 1111-1121 DOI： 10.11949/0438-1157.20191492.

FENG Yiping, ZHANG Tuchao, CHEN Xin. Multi factor production cost modeling method for intelligent manufacturing[J]. CIESC Journal, 2020, 71(3): 1111-1121 DOI： 10.11949/0438-1157.20191492.

摘要

在智能制造背景下，针对数字化资源的成本核算和价值流分析对于企业的智能制造投资及转型具有重要的现实意义。基于智能制造组成域参考模型架构，建立了一种适应智能制造生产模式的多要素生产成本模型。针对不同管理层级的成本核算需求，建立了不同管理层次之间成本节点的耦合关系模型，实现了多层次成本模型的统一建模和数据的一致性。可用于企业智能制造价值流分析，为智能制造成本效率的提升及投资决策提供理论依据和成本测算模型。

Abstract

In the context of intelligent manufacturing

cost accounting and value stream analysis for digital resources have important practical significance for enterprises intelligent manufacturing investment and transformation. A kind of multi factor production cost model is established based on the composition domain reference model architecture for intelligent manufacturing. According to the cost accounting requirements of different management levels

the coupling relationship model of cost nodes between different management levels is established

and the unified modeling and data consistency of multi-level cost models are realized. It can be used to value flow analysis for enterprise intelligent manufacturing

and provide theoretical basis and cost calculation model for improving the cost efficiency of intelligent manufacturing and investment decision.

关键词

Keywords

references

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