Research Article | OPEN ACCESS
Presenting a Framework for Ranking Identification System in the Chain Store: Real Case Study of the Iran SHAHRVAND Department Store
1H.R. Azizi, 2N. Pilevari, 1S.A.Tabatabaei and 1M.H.Taherian Mobarakeh
1Department of Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2Department of Industrial Management, Shahr-e-rey Branch, Islamic Azad University, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology 2014 6:1167-1171
Received: March 07, 2013 | Accepted: June 18, 2013 | Published: February 15, 2014
Abstract
The purpose of this research is to specify and rank the appropriate automatic identifying goods system for a real case of a department store (Shahrvand department store). The ideas of the experts about the most appropriate identifying goods system in the department store are evaluated and collected by the brainstorming method, the three types of identification system which are specified by the brainstorming method are: RFID (Radio Frequency IDentification), Barcode and OCR (Optical Character Recognition). In order to ranking the achieved automatic identification systems and helping the management of the department store for decision making, the promethee (Preference Ranking Organization Method for Enrichment Evaluations) method is selected which has the most conformity with this research between the all MCDM (Multi Criteria Decision Making) method. Therefore, by consideration of two approaches: “efficiency of identification systems†and “convenience of customer purchase†eight criteria are extracted for ranking the identification system. Finally, the RFID system is preferred to other automatic identifying good systems by the used method in the research.
Keywords:
Barcode, Identification system, Optical Character Recognition (OCR), promethee, Radio Frequency IDentification (RFID), shahrvand department store,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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