Selection of Key Performance Indicators for Supply Chain Monitoring using MCDA

被引：0
|
作者：
Chorfi, Zoubida [1 ]
Berrado, Abdelaziz [1 ]
Benabbou, Loubna [2 ]
机构：
[1] Mohammed V Univ, Equipe AMIPS, EMI, Rabat, Morocco
[2] Mohammed V Univ, Equipe MOAD SCM, EMI, Rabat, Morocco
来源：
2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA) | 2015年
关键词：
Key Performance Indicators (KPIs); Analytical Hierarchy Process (AHP); Multi-Criteria Decision Analysis (MCDA); Supply Chain Management; Supply Chain monitoring;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Key Performance Indicators (KPIs) are very important for monitoring Supply Chains. The problem of selecting KPIs is considered as a multi-objective problem. This paper presents a framework for the ranking and the selection of KPIs using a Multi-Criteria Decision Analysis (MCDA). The research was carried out using Analytical Hierarchy Process (AHP) to make pairwise comparison of KPIs in terms of several criteria. The suggested framework is used for selecting relevant KPIs for monitoring a public sector pharmaceutical products supply chain in a developing country.
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页数：6
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