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.

Keywords:

• Supply Chain Performance Measurement
• Performance Measurement Methods
• Performance Measurement Approaches
• Data Collection
• Data Analysis

EMJ Focus Areas:

• Engineering Management Profession
• Organizational & Performance Assessment
• Supply Chain Management

Abbreviations

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Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Fatma Lehyani

Dr. Fatma Lehyani is a PhD in Industrial Engineering from Grenoble Alpes University, France and in Management Sciences from Sfax University, Tunisia in 2019. She is actually a Contract Professor at the Higher Institute of Industrial Management of Sfax and member of OLID laboratory, University of Sfax, Tunisia. Her research activities deals with supply chain management, total quality management, and knowledge management.

Alaeddine Zouari

Dr. Alaeddine Zouari obtained his PhD in Industrial Engineering in 2007 from National Polytechnic Institute in Grenoble, France. He is an Assistant Professor at Higher Institute of Industrial Management of Sfax and member of OLID laboratory, University of Sfax, Tunisia. He is also responsible of the master Innovation and Technology Management. His research activities deal with product design, supply chain management, waste management, and life-cycle sustainability assessment.

Ahmed Ghorbel

Dr. Ahmed Ghorbelobtained his PhD in Management (Statistical Modelling in finance and insurance) from Higher Institute of Management of Tunis 2010. His research activities deal with studying contagion effect and financial crises, simulation in finance, hedging strategy, financial risk management, Statistical Quality control, experimental design and supply chain risk management. He is actually an Associate Professor at the Faculty of Economics and Management of Sfax, Tunisia and member and researcher at the CODECI Laboratory.

Michel Tollenaere

Pr. Michel Tollenaere is a Professor at Grenoble Institute of Technology. He got his PhD degree in mechanical CAD in 1991. His research interests are in digital engineering and PLM systems. He has been the advisor for more than 20 PhD studies and has published more than 40 journal referenced papers. He is presently the director of the Pole S-mart Grenoble Alpes, a resource center for digital engineering and physical prototyping.