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 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 by the used method in the research.
Highlights
In recent years Automatic Identification procedures (Auto-ID) have become very popular in many service industries, purchasing and distribution logistics, manufacturing companies and material flow systems
The omnipresent barcode labels that triggered a revolution in identification systems some considerable time ago are being found to be inadequate in an increasing number of cases (Finkenzeller, 2002).There are variety of systems for automatic identifying goods, which are included in the following systems: Barcode, Biometric, Optical Character Recognition (OCR), Radio Frequency IDentification (RFID), Smart cards, the following section gives a brief overview of different automatic ID systems (Fig. 1)
According to the circumstances of this problem and the simultaneous use of the qualitative and quantitative criteria in this study, the algorithm of promethee II is preferred to other ranking model
Summary
In recent years Automatic Identification procedures (Auto-ID) have become very popular in many service industries, purchasing and distribution logistics, manufacturing companies and material flow systems. In the step the useful and operative identification systems for using in the Department store should be collected and ranked, for this purpose the idea of the experts are collected and edited by the Brains Storming method. As it is the case in classic group-based brainstorming techniques (Osborn, 1957), each single idea or solution a person generates to a specific problem situation stimulates new ideas or solutions in others (Fink et al, 2010). The aim of this study is presenting a Framework for Ranking Identification System in department stores (Shahrv and). After determining the weights of the criteria by collecting the ideas of the experts in the framework of a questionnaire, the alternatives are ranked by software (DECISIONLAB)
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