Supply chain performance measurement using SCOR model based on interval-valued fuzzy TOPSIS

Author(s):  
Hassan Mina ◽  
Arezoo Moharamkhani ◽  
Ali Bozorgi Amiri
2014 ◽  
Vol 21 (6) ◽  
pp. 944-963 ◽  
Author(s):  
Dhanya Jothimani ◽  
S.P. Sarmah

Purpose – The purpose of the paper is to explore the applicability of the Supply Chain Operations Reference (SCOR) model and to identify the key performance indicators (KPIs) for the service-oriented sector – namely a third-party logistics (3PL) service provider. Design/methodology/approach – The performance attributes of SCOR model (reliability, responsiveness, flexibility, cost measures and asset management efficiency) are used as the basis for defining the KPIs. A questionnaire was sent to relevant decision makers. Findings – This paper illustrates the use of the integrated approach of SCOR, fuzzy analytic hierarchy process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for measuring the supply chain performance (SCP) in the light of a real life case study company. Research limitations/implications – This method forms the basis for performance measurement using the SCOR model to evaluate strategy. In this work, the performance of the company has been compared with its own previous performance. The work can be extended to external benchmarking and also to other sectors. Practical implications – The paper attempts to overcome the conflict between the top-down strategy and bottom-up implementation process. The paper links the strategic objective with operations which would aid managers at different levels of an organization with decision making. The KPIs, when implemented in a business intelligence (BI) tool, would result in real time performance measurement. Originality/value – The paper focusses on 3PLs. It provides a base for measuring the SCP using SCOR model. The paper also identified KPIs for three domains of 3PL, namely freight forwarding, customs and warehousing.


2018 ◽  
Vol 7 (2) ◽  
pp. 119 ◽  
Author(s):  
David Try Liputra ◽  
Santoso Santoso ◽  
Nadya Ariella Susanto

<p><em>The rapid development of the industrial world has resulted in increasingly tight competition among companies. This condition shows the importance of improving performance, not only in a company but also other parties in the related supply chain, in order to compete with other companies or supply chains. The good performance of a supply chain will certainly increase the customers satisfaction. Therefore, performance measurement needs to be carried out so that a supply chain can find out how well it currently performing is and keep improving it. This study will discuss about the application of the supply chain operations reference (SCOR) model and the pairwise comparison method for the supply chain performance measurement of a product packaging company</em> </p><p><strong><em>Keywords: supply chain, performance measurement, SCOR, </em></strong><strong><em>pairwise comparison</em></strong></p><strong><em><br /></em></strong>


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjeev Yadav ◽  
Dixit Garg ◽  
Sunil Luthra

PurposePerformance measurement (PM) of any supply chain is prerequisite for improving its competitiveness and sustainability. This paper develops a framework for supply chain performance measurement (SCPM) for agriculture supply chain (ASC) based on internet of things (IoT). Moreover, this article explains the role of IoT in data collection and communication (SC visibility) based on the supply chain operation reference (SCOR) model.Design/methodology/approachThis research identifies various key performance indicators (KPIs) and also their role in SCPM for improving its sustainability by using SCOR. Further, Shannon entropy is utilized for weighing the basic processes of SCPM and by using weights, fuzzy TOPSIS is applied for ranking of identified KPIs at metrics level 2 (deeper level).Findings“Flexibility” and “Responsiveness” have been reported as two most important KPIs in IoT based SCPM framework for ASC towards achieving sustainability.Research limitations/implicationsIn this research, metrics are explained only at SCOR level 2. But, this research will guide the managers and practitioners of various organizations to set their benchmark for comparing their performance at different levels of business processes. Further, this paper has managerial implications to develop an effective system for PM of IoT based data-driven ASC.Originality/valueBy using IoT based data driven system, this article fills the gap between SCPM by measuring different SC strategies in their performance measurable form of reliable, responsive and asset management etc.


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