2 results
Search Results
Now showing 1 - 2 of 2
Article Citation - WoS: 22Citation - Scopus: 30Selecting the Best Warehouse Data Collecting System by Using Ahp and Fahp Methods(Univ Osijek, Tech Fac, 2014) Erkan, Turan Erman; Can, Gulin Feryal; Industrial EngineeringRecently companies have begun to use their storage effectively to attain leadership in the market environment, utilizing Barcode and RFID (Radio Frequency Identification) systems for warehouse management. In this study AHP (Analytic Hierarchy Process) and FAHP (Fuzzy Analytic Hierarchy Process) are used to choose between Barcode and RFID systems for the company warehouse data collection system. This decision is affected by four criteria which are: cost, functionality, sustainability and performance. The barcode system was preferred by 68 % and RFID was preferred by 32 % according to AHP. For FAHP, barcode system was preferred by 72 % and RFID was preferred by 28 %. Consequently AHP values are consistent with FAHP values. Finally barcode system is selected for the company's warehouse data collection system and FAHP is found to be relatively more sufficient in terms of description of this decision-making process because of its fuzziness and vagueness compared to AHP method.Article Citation - WoS: 10Citation - Scopus: 15An Rfid Based Indoor Tracking Method for Navigating Visually Impaired People(Tubitak Scientific & Technological Research Council Turkey, 2010) Oktem, Rusen; Aydin, ElifThis paper tackles the RFID based tracking problem in an obscured indoor environment. The proposed solution is an integral part of a navigation aid for guiding visually impaired people in a store. It uses RF signal strengths and is based on the Bayes Decision Theory. An observation vector is formed by received radio signal strength indication values, transmitted from three transmitters at distinct frequencies in the UHF band. The indoor area is divided into square grids, where each grid is considered as a class. The problem of tracking is expressed as classifying the observed radio signal strengths to the most likely class. A classification rule is formulated by incorporating a priori assumptions appropriate for the studied model. The proposed approach is tested in a laboratory environment. The results prove that the proposed approach is promising in tracking especially when the tracked person is guided by a system.
