How MCDM method minimizes the gap between portfolio planning and portfolio implementation.

Mostafa Keramatikerman
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Abstract

This paper presents a comparison between portfolio planning and portfolio implementation in Tanzania power sector and suggests a Multi-Criteria Decision Making (MCDM) method which can be considered as a balanced approach in minimizing discrepancy between portfolio planning and implementation. The research is chiefly developed based on Analytic Hierarchy Process (AHP) approach and the subsequent data collection and data analysis were tailored to suit this approach. An extensive literature review ranging from various scholar papers to corporate research reports is undertaken to establish the most relevant project appraisal criteria in Tanzania power industry. Total of 15 experts took part in the survey in which the survey findings were integrated into the literature review toward structuring the proposed MCDM framework. The analysis of findings suggest the following insights; (1) inadequate cross-stakeholders engagement at portfolio planning stage observed in Tanzania power sector which is largely due to the confined and quantitative portfolio planning method; (2) MCDM should be used as a complementary method toward integrating non-tangible/qualitative variables into other quantitative criteria at portfolio planning stage, which can mitigate the extent of deviation between portfolio planning and implementation; (3) It is crucial to employ MCMD as a decision support tool toward prioritizing major infrastructure projects at portfolio planning stage to ensure the consistency between portfolio planning and implementation.
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MCDM方法如何最小化项目组合规划和项目组合实施之间的差距。
本文对坦桑尼亚电力部门的投资组合规划和投资组合实施进行了比较,提出了一种多准则决策方法(MCDM),该方法可以将投资组合规划和投资组合实施之间的差异最小化。本研究主要基于层次分析法(AHP)进行,后续的数据收集和数据分析也根据该方法进行了调整。通过对各种学者论文和企业研究报告的广泛文献综述,建立了坦桑尼亚电力行业最相关的项目评估标准。共有15名专家参加了调查,调查结果被纳入文献综述,以构建拟议的MCDM框架。对研究结果的分析提出了以下见解:(1)坦桑尼亚电力部门在投资组合规划阶段的交叉利益相关者参与不足,这主要是由于投资组合规划方法的局限性和定量;(2)在投资组合规划阶段,MCDM应作为一种将无形/定性变量整合到其他定量标准中的补充方法,以减轻投资组合规划与实施之间的偏差程度;(3)将MCMD作为重大基础设施项目投资组合规划阶段的决策支持工具,确保投资组合规划与实施的一致性至关重要。
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