Data Envelopment Analysis for Branch Evaluation: A Case Study in an Underwear Company in Turkey

Berna Alkan*, Süleyman Berkem Bosnalı, Rana Ezgi Köse, Ferhan Çebi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Data envelopment analysis is a method that enables performance evaluation and comparison in institutions, organizations and companies operating in both the service and production sectors. Thanks to this method, besides measuring and comparing the activities of different units, it is possible to find ways to make inefficient units efficient. The ability to use multiple inputs and outputs is one of the biggest advantages of this method. Within the scope of this study, a performance evaluation was made in order for the underwear company, which reached 62 stores in 5 years, to realize its mission and vision. The stores of the company in 3 different regions were evaluated on the basis of 3 inputs and 3 outputs. Afterwards, an efficiency calculation and comparison was made on a regional basis. In this way, the differences between the regions and the aspects that are open to development were also revealed. At the end of the method, evaluations were made on the basis of stores and regions, and the necessary conditions for inefficient units to be efficient were examined.

Original languageEnglish
Title of host publicationTowards Industry 5.0 - Selected Papers from ISPR 2022
EditorsNuman M. Durakbasa, M. Güneş Gençyılmaz
PublisherSpringer Science and Business Media Deutschland GmbH
Pages366-377
Number of pages12
ISBN (Print)9783031244568
DOIs
Publication statusPublished - 2023
Event22nd International Symposium for Production Research, ISPR 2022 - Antalya, Turkey
Duration: 6 Oct 20228 Oct 2022

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

Conference22nd International Symposium for Production Research, ISPR 2022
Country/TerritoryTurkey
CityAntalya
Period6/10/228/10/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Benchmarking
  • DEA
  • Data envelopment analysis
  • Performance evaluation

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