Planning decision for a natural gas chemical company by map of decision network

WANG Jianting; CHEN Dingjiang; HU Shanying

您当前的位置：

首页 >

文章列表页 >

Planning decision for a natural gas chemical company by map of decision network

更新时间：2025-12-10

- Planning decision for a natural gas chemical company by map of decision network
- CIESC Journal Issue 9, Pages: 2289-2294(2008)
- 作者机构：
  
  清华大学化学工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 September 2008，
  
  Published：05 September 2008
- 稿件说明：
移动端阅览
WANG Jianting, CHEN Dingjiang, HU Shanying. Planning decision for a natural gas chemical company by map of decision network[J]. CIESC Journal, 2008, (9): 2289-2294.
DOI：

WANG Jianting, CHEN Dingjiang, HU Shanying. Planning decision for a natural gas chemical company by map of decision network[J]. CIESC Journal, 2008, (9): 2289-2294. DOI：

摘要

针对生态工业决策的实践需要设计了“生态工业决策网络图”作为结构化表征生态工业决策问题的工具，探讨了基于这一工具的决策流程;然后以某天然气化工企业产业发展规划的制定过程为例，进行“生态工业决策网络图”应用的案例分析，说明了决策方案的提出，对应的生态工业决策网络图生成和修剪过程，通过直接定性、层次分析法综合以及逻辑推理3类过程完成了系统的决策。

Abstract

A decision supportive tool “map of decision network for eco-industry”(MDNEI) was presented to structure and integrate the decision problem according to the needs of decision makers.The process of applying the tool was discussed.A MDNEI application based on the eco-industrial development plan of a natural gas chemical company was presented as a case study.The paper shows how the company decision-makers and the consultants brought forward the initial solutions and made choices

and corresponding MDNEI generating and shearing processes.The final solution was obtained based on three kinds of decision processes

directly qualitative judgment

synthetically quantitative judgment and structural inference.

关键词

Keywords

references

Views

362

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Prediction model for COD in petrochemical wastewater influent based on temporal-spatial dual-stream convolutional neural network

Prediction of biomass pyrolysis product yield based on machine learning algorithms

Thermo-oxidative degradation characteristics of TPT backsheet from end-of-life photovoltaic modules

Study on synergistic modification of nitrogen-doped carbon coating and Ti⁴⁺ co-doping for lithium vanadium phosphate cathode materials

Multi objective optimization of flow and heat transfer characteristics of modified manifold microchannel heat sink based on machine learning

Related Author

No data

Related Institution

No data

⁰