Using Fuzzy DEA Method to Evaluate the Application of E-Business Benefits in Logistics Network

Electronic business is one of the major implications of ICT revolution that has experienced high growth over the past decade. With the expansion of e-commerce, the speed and quality of customer service has also increased which forced companies to control quality components more and ensure the accura...

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Bibliographic Details
Main Authors: Amir Amini, Alireza Alinezhad
Format: Article
Language:fas
Published: Sharif University of Technology (Sharif Policy Research Institute) 2019-03-01
Series:سیاست نامه علم و فناوری
Subjects:
Online Access:http://stpl.ristip.sharif.ir/article_21448_2dbbd2538dbf718959d615299b510852.pdf
Description
Summary:Electronic business is one of the major implications of ICT revolution that has experienced high growth over the past decade. With the expansion of e-commerce, the speed and quality of customer service has also increased which forced companies to control quality components more and ensure the accuracy and timeliness of delivery of goods to meet the growing needs of customers and ultimately their satisfaction. The use of electronic business in business activities requires attention to a series of exogenous and exogenous factors affecting it. Therefore, in order to develop an effective and targeted evaluation system, an assessment of performance of logistics network in the electronic business is required. Data Envelopment Analysis is one of the powerful management techniques that provide managers with tools that can benchmark their company's performance compared with other competitors and decide for future prospects based on its results. In this study, using fuzzy DEA a new method for evaluating the logistics network collaboration in an e-business will be presented. After introducing two optimistic and pessimistic models both of them are solved. Finally, the application of the model is shown with numerical example and the sensitivity analysis of the input and output parameters is also performed.
ISSN:2476-7220
2717-1973