分析尼泊尔配送系统的绩效,探讨配送中心重组的可能性

D. K. Jha, N. Yorino, Y. Zoka
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引用次数: 5

摘要

本文旨在通过调查尼泊尔电力局(NEA)拥有的配电中心(DCs)的运营效率来分析尼泊尔配电系统的性能。NEA是尼泊尔综合电力系统(INPS)的所有者和运营商,该系统覆盖了全国95%以上的电气化面积。采用数据包络分析(DEA)技术进行分析。制定权限DEA模型,进行分析,纳入大范围的输入和输出,捕捉配电过程的本质。在进行分析时,考虑了决策者对DCs操作的偏好。为2004/05财政年度提供个案研究,以评估NEA辖下区议会的运作效率,并为其拟备工作表现报告。为了检验结果的稳健性,并确定DCs的改进方向,进行了敏感性分析。根据敏感性分析结果;确定了各个dc的优势和劣势。这些结果最终被用于根据区议会的平均整体效率得分对其进行排名。本文还探讨了在地理便利的基础上,在NEA的分布框架内重组现有dc的可能性。为了评估这种重组的适宜性,我们进行了基于DEA的分析。根据分析结果提出建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing performance of Distribution System in Nepal and investigating possibility of reorganization of distribution centers
This paper aims to analyze the performance of distribution system in Nepal by investigating the operational efficiencies of the distribution centers (DCs) owned by Nepal Electricity Authority (NEA). NEA is the owner and operator of Integrated Nepal Power Systems (INPS) which, covers over 95% of the total electrified area of the country. Data envelopment analysis (DEA) technique is used for the purpose. Weight restriction DEA model is formulated, to carry out analysis, incorporating a wide range of inputs and outputs capturing the essence of electricity distribution process. Decision maker's preferences regarding operation of the DCs have been considered while carrying out the analysis. A case study is provided for FY 2004/05 to assess the operational efficiency of the DCs owned by NEA and performance report for the same is prepared. Sensitivity analysis is carried out in order to check the robustness of the results as well as to identify the improvement directions for DCs. Based on the results of the sensitivity analysis; strengths and weaknesses of individual DCs are identified. The results are ultimately used to rank the DCs based on their average overall efficiency scores. The paper, also investigates a possibility of re-organization of existing DCs inside NEA's distribution framework on the basis of geographical convenience. DEA based analysis is carried out in order to assess the suitability of such re-organization. Recommendations are made based on results of the analysis.
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