Defining and Measuring Supply Chain Performance: A Systematic Literature Review

Abstract Supply Chain Performance (SCP) is a critical issue in most industries. Organizations expect to enhance their SCP because it allows better competitiveness through minimizing useless resources activities, unsatisfactory delivery times, noncompliant quality, overproduction, etc. In this context, this paper provides an overview of the methods in use in Supply Chain Performance Measurement (SCPM) and investigates the most used methods for data collection, approaches, and data analysis techniques in order to measure SCP. This study was based on 180 of 682 related articles, published from 2008 to 2019, which were collected from the Crossref and Sciencedirect databases. Articles were reviewed in order to update methods and techniques which are the most used to define and analyze this performance, both in academic research or industrial case studies. Findings of this work can be very helpful to researchers and practitioners to know similitude and difference of each method, approach and tool exploited in the field of SCPM, in their particular area of activity.