Use of IVFNs and MULTIMOORA method for supply chain performance measurement, benchmarking and decision-making: an empirical study

2014 ◽  
Vol 7 (2) ◽  
pp. 237 ◽  
Author(s):  
Anoop Kumar Sahu ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Author(s):  
Christian Pretorius ◽  
George A. Ruthven ◽  
Konrad Von Leipzig

The management of a supply chain is both an offensive and defensive weapon that organisations can use to increase their competitive edge and capture a larger share of the market. In management science and supply chain management, multi-criteria decision making techniques have been used to solve a range of real-world problems. The problem is that many, if not most, companies in South Africa either do not have the required skills to use these decision-making techniques to improve or re-configure their supply chain, or they do not have a complete data set with which to model it effectively. In order to manage supply chains effectively, organisations at the very least need feedback on the performance of their entire supply chain. In this article, generic supply chain performance measures were used and a theoretical or empirical model was developed for the performance measurement of a national egg producer’s supply chain. It focused on a managerial program for the identification and management of their supply chain with recommendations for applying a measurement model. The overall performance of the supply chain as well as the five different performance attributes was presented to management in a dashboard format. This article could be used as a basis for future studies of supply chain performance measurement and the model could be used as a foundation for developing an improved version, not only for the egg industry, but for other industries as well. 


2014 ◽  
Vol 17 (4) ◽  
pp. 69-82
Author(s):  
Thanh Van Vo ◽  
Trung Quoc Pham

The paper provides an application which is a combination between decision making technique and fuzzy logic to build a supply chain performance measurement system in textile industry in Ho Chi Minh City. The methodology is a combination of theoretical analysis, Delphi quantitative method and Combined Fuzzy Multiple Attribute Evaluation (CFMAE) method. First of all, based on theories on textile supply chain, we developed a hierarchical system for performance measurement. After three Delphi rounds to seek opinions of experts on the system, the CFMAE which consists of two phases (fuzzy integral and fuzzy analysis hierarchy process – FAHP) was conducted to build a supply chain performance measurement system in textile industry with general attributes. The study has constructed a supply chain performance measurement system in textile industry in Ho Chi Minh City with suitable attributes. The weight of attributes is determined as a general viewpoint of the industry of the importance of the attributes to the supply chain performance. In terms of practicality, this paper provides an approach in the performance measurement for the textile supply chain that serves as a framework for a centralized and effective improvement. The scientific meaning of this paper is the application of the fuzzy logic in economics and management to eliminate the subjectivity in the decision making process.


2021 ◽  
Vol 15 (1) ◽  
pp. 12-29
Author(s):  
Rio Benedicto Bire

This paper aims to test the applicability of a SCOR-based DEA benchmarking approach for SMEs in Indonesia, due to the increasing call for suitable supply chain performance measurement in the context of SMEs. An input-oriented DEA assuming both CRS and VRS was employed by deriving a set of metrics from the SCOR attributes. A sample of 16 SME convenience stores was selected for the illustration. Results show that the SCOR-based DEA provided a simple groundwork for supporting SME managerial decision making in terms of administering concise feedbacks and identifying directions to venture on. Moreover, analysis results alluded to a distinct, more comprehensive assessment of performances as opposed to that of traditional measurements that is prominent among SMEs. The distinct, comprehensive insights from the analysis may engage SMEs into taking up the more innovative performance measurement approach. Moreover, better awareness of supply chain metrics is foreseen. The SCOR-based DEA provided a unique approach to meet the conformance of Indonesian SMEs in regard to supply chain performance measurement.    


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