﻿ 输变电工程全过程造价管理成熟度模型及评价研究

# 输变电工程全过程造价管理成熟度模型及评价研究Study on the Maturity Model and Evaluation of the Whole Process Cost Management in Power Transmission and Transformation Project

Abstract: In order to improve the capacity of the whole process cost management of power transmission and transformation project, we constructed a management maturity model suitable for the whole process cost management of our transmission project, through the perspective of maturity theory. We studied its evaluation by integrating the Analytic Hierarchy Process (AHP), the eigenvector method and the subordinate factor value assignment method. Finally, through example calculation, the method is proven to be effective for the whole process cost management maturity evaluation.

1. 引言

2. 全过程造价管理成熟度模型的概述

3. 输变电工程全过程造价管理成熟度模型的思路

3.1. 输变电工程全过程造价管理分级

Figure 1. Structure of maturity level of WPCM3 model in transmission and distribution project

Table 1. WPCM3 Level Evaluation Index System for Power Transmission and Distribution Project

3.2. 输变电工程全过程造价管理成熟度评价要素和指标设计

4. 输变电工程全过程造价管理成熟度模型及计算方法

4.1. 层次分析法

Table 2. Maturity level model of the entire process of power transmission project cost management

4.2. 特征向量法

${a}_{i}=\sqrt[n]{\underset{i=1}{\overset{n}{\coprod }}{a}_{ij}}$ (1-1)

${\omega }_{i}=\frac{{a}_{i}}{\underset{i=1}{\overset{n}{\sum }}{a}_{i}}$ (1-2)

$CI=\frac{{\lambda }_{\mathrm{max}}-n}{n-1}$ (1-3)

$CR=\frac{CI}{RI}$ (1-4)

${\lambda }_{\mathrm{max}}=\frac{1}{n}\underset{i=1}{\overset{n}{\sum }}\frac{\underset{j=1}{\overset{n}{\sum }}{a}_{ij}{\omega }_{j}}{{\omega }_{i}}$ (1-5)

4.3. 隶属因子赋值法

$单项指标得分=\frac{\underset{i=1}{\overset{n}{\sum }}\left(指标权数×每个评价人员的等级系数分\right)}{n}$ (1-6)

$评议指标总分=\underset{j=1}{\overset{m}{\sum }}单项指标得分$ (1-7)

Table 3. n-order matrix random index RI

5. 评价实施案例

Table 4. A − B 1 − 5 judgment matrix

${\lambda }_{\mathrm{max}}=5.394$ , $CR=CI/RI=0.088<0.1$

Table 5. B 1 − C 11 − 15 judgment matrix

${\lambda }_{\mathrm{max}}=5.136$ , $CR=CI/RI=0.030<0.1$

Table 6. B 2 − C 21 − 25 judgment matrix

${\lambda }_{\mathrm{max}}=5.357$ , $CR=CI/RI=0.080<0.1$

Table 7. B 3 − C 31 − 34 judgment matrix

${\lambda }_{\mathrm{max}}=4.117$ , $CR=CI/RI=0.067<0.1$

Table 8. B 4 − C 41 − 44 judgment matrix

${\lambda }_{\mathrm{max}}=4.043$ , $CR=CI/RI=0.025<0.1$

Table 9. B 5 − C 51 − 54 judgment matrix

${\lambda }_{\mathrm{max}}=4.043$ , $CR=CI/RI=0.025<0.1$

Table 10. Scores of each indicator

6. 结论

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