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THE MOST SUITABLE MOBILE RFID READER SELECTION BY USING INTERVAL TYPE-2 FUZZY TOPSIS METHOD

Yıl 2018, Cilt: 36 Sayı: 3, 717 - 729, 01.09.2018

Öz

The novelties, innovations and ease of practical applications that the technology brings as it develops have become dispensable parts of our daily life. RFID technology, one of these novelties, forms the basis for new coding, storage and transmission systems; as well as helping businesses to solve the issues that they encounter in controlling data or the troubles faced due to lack of information. RFID applications in supply chain management insure several advantages; providing more accurate and faster communication, ensuring traceability on dealers networks and developing control mechanisms by ensuring real-time information transmission between logistics activities and supply chain management. RFID readers, one of the components of the RFID system, are the cores of RFID systems, and they all have unique and distinct properties that distinguish from each other. Prior to the creation of an RFID system, the selection of the suitable RFID readers that meet all the needs is the leading important issue.
In this study, the aim is to select the most suitable mobile RFID reader for a business that aims to organize warehouse transactions in supply chain management and reduce the errors in shipping operations. Since there are multiple criteria in selection of the RFID readers, the problem is considered as a multi-criteria decision making problem and the Interval Type-2 Fuzzy TOPSIS method, which uses type-2 fuzzy sets, is used for solution, as it is more effective in solving the uncertainties. After determining the effective criteria and alternatives in selection of mobile RFID reader, by adopting the steps of the method, "RFID Reader-2" which is superior to other alternatives in terms of "Memory", "Read Distance" and "Drop Spec.", has been chosen as the most suitable mobile RFID reader. Finally, the results that are obtained in the study are evaluated and suggestions for future studies are made.

Kaynakça

  • [1] Maraşlı, F. (2016). RFID tabanlı yeni bir yakıt tanıma sistemi tasarımı. Yüksek Lisans Tezi, Bitlis Eren Üniversitesi Fen Bilimleri Enstitüsü, Bitlis.
  • [2] Stockman, H. (1948). Communication by means of reflected power. Proceedings of the IRE, 36(10), 1196-1204.
  • [3] Kocamaz, A. F. (2008). Yatarak tedavi gören şizofreni hastalarının negatif belirtilerinin RFID teknolojilerle ölçülebilirliğinin denetlenmesi. Yüksek Lisans Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitüsü Bilgisayar Mühendisliği Ana Bilim Dalı, Edirne.
  • [4] Dilonardo, R. L. (2014). EAS source tagging 20-plus years of innovation. Loss Prevention Magazine.
  • [5] Bazaatı, S. (2012). İnşaat sektöründe radyo frekanslı tanımlama (RFID). Yüksek Lisans Tezi, Çukurova Üniversitesi Fen Bilimleri Enstitüsü İnşaat Mühendisliği Anabilim Dalı, , Adana.
  • [6] AIM Inc. http://rfid.mantis.com.tr/2008/05/rfid/. (Erişim Tarihi: 15.02.2018).
  • [7] Maraşlı, F., & Çıbuk, M. (2015). RFID teknolojisi ve kullanım alanları. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 4(2), 249-275.
  • [8] Boer Bilişim A.Ş. http://boer.com.tr/tr/cozum-155-0-havaalani-ve-hava-yollari.asp, (Erişim Tarihi: 24.03.2018)
  • [9] http://www.aybilbilisim.com.tr/asp/index.asp?frmkodu=urun.asp?bno=35!dil=, (Erişim Tarihi: 22.03.2018).
  • [10] Zhekun, L., Gadh, R., & Prabhu, B. S. (2004). Applications of RFID technology and smart parts in manufacturing. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 123-129, American Society of Mechanical Engineers.
  • [11] Akın, A. (2014). Türkiye’nin RFID merkezi, http://www.rfidturkey.com. (Erişim Tarihi: 20.03.2018).
  • [12] Bulut, K. (2008). Güvenli radyo frekansı ile doğrulama (radio frequency identification -RFID) sistemlerinin incelenmesi ve mikroişlemci üzerinde güvenli olacak şekilde gerçekleşmesi, Lisans Tezi, I.T.Ü Elektrik Elektronik Fakültesi, İstanbul.
  • [13] Brown, D. E. (2007). RFID implementation, McGraw-Hill, New York.
  • [14] Weis, S. A. (2003). Security and privacy in radio-frequency identification devices. Doctoral dissertation, Massachusetts Institute of Technology.
  • [15] Zhou, W. (2009). RFID and item-level information visibility. European Journal of Operational Research, 198(1), 252-258.
  • [16] Lin, L. C. (2009). An integrated framework for the development of radio frequency identification technology in the logistics and supply chain management. Computers & Industrial Engineering, 57(3), 832-842.
  • [17] Büyüközkan, G., Karabulut, Y., & Arsenyan, J. (2017). RFID service provider selection: An integrated fuzzy MCDM approach. Measurement, 112, 88-98.
  • [18] Owida, A. M., El-Kilany, K. S., & El-Sayed, A. E. (2010). Analytical hierarchy process for selection of RFID system: an application in retail supply chains. Flexible Automation and Intelligent Manufacturing, 496-503.
  • [19] Vanany, I. (2010). A multi-staged approach for RFID selection decision. Business Review,58(1), 119-132.
  • [20] Cebeci, U., & Kilinc, S. (2007). Selecting RFID systems for glass industry by using fuzzy AHP approach. In RFID Eurasia, 2007 1st Annual,1-4. IEEE.
  • [21] Aytaç Özmen G.,& Birgün S., (2011) Radyo frekansı ile tanımlama sistemi seçiminde analitik hiyerarşi prosesi uygulaması, Havacılık ve Uzay Teknolojileri Dergisi, 5(1), 81- 88.
  • [22] Hamurcu, M., & Eren, T. (2017). Selection of Monorail Technology by using multi criteria decision making. Sigma Journal of Engineering and Natural Sciences, 8(4), 303-314.
  • [23] Yildiz, A. (2016). Interval type 2-fuzzy TOPSIS and fuzzy TOPSIS method in supplier selection in garment industry/Metoda fuzzy TOPSIS Interval tip 2 si metoda fuzzy TOPSIS în selectarea furnizorului din industria de confectii. Industria Textila, 67(5), 322-332.
  • [24] Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, 199–249.
  • [25] Liang, Q., & Mendel, J. M. (2000). Interval type-2 fuzzy logic systems: theory and design. IEEE Transactions on Fuzzy systems, 8(5), 535-550.
  • [26] Mendel, J. M., John, R. I., & Liu, F. (2006). Interval type-2 fuzzy logic systems made simple. IEEE transactions on fuzzy systems, 14(6), 808-821.
  • [27] Wang, W., Liu, X., & Qin, Y. (2012). Multi-attribute group decision making models under interval type-2 fuzzy environment. Knowledge-Based Systems, 30, 121-128.
  • [28] Hu, J., Zhang, Y., Chen, X., & Liu, Y. (2013). Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowledge-Based Systems, 43, 21-29.
  • [29] Chen, S. M., & Lee, L. W. (2010). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with applications, 37(1), 824-833.
  • [30] Mendel, J. M. (2009). On answering the question “Where do I start in order to solve a new problem involving interval type-2 fuzzy sets?”. Information Sciences, 179(19), 3418-3431.
  • [31] Lee, L. W., & Chen, S. M. (2008, July). A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2 fuzzy sets. In Machine Learning and Cybernetics, 2008 International Conference on, 6, 3084-3089. IEEE.
Yıl 2018, Cilt: 36 Sayı: 3, 717 - 729, 01.09.2018

Öz

Kaynakça

  • [1] Maraşlı, F. (2016). RFID tabanlı yeni bir yakıt tanıma sistemi tasarımı. Yüksek Lisans Tezi, Bitlis Eren Üniversitesi Fen Bilimleri Enstitüsü, Bitlis.
  • [2] Stockman, H. (1948). Communication by means of reflected power. Proceedings of the IRE, 36(10), 1196-1204.
  • [3] Kocamaz, A. F. (2008). Yatarak tedavi gören şizofreni hastalarının negatif belirtilerinin RFID teknolojilerle ölçülebilirliğinin denetlenmesi. Yüksek Lisans Tezi, Trakya Üniversitesi, Fen Bilimleri Enstitüsü Bilgisayar Mühendisliği Ana Bilim Dalı, Edirne.
  • [4] Dilonardo, R. L. (2014). EAS source tagging 20-plus years of innovation. Loss Prevention Magazine.
  • [5] Bazaatı, S. (2012). İnşaat sektöründe radyo frekanslı tanımlama (RFID). Yüksek Lisans Tezi, Çukurova Üniversitesi Fen Bilimleri Enstitüsü İnşaat Mühendisliği Anabilim Dalı, , Adana.
  • [6] AIM Inc. http://rfid.mantis.com.tr/2008/05/rfid/. (Erişim Tarihi: 15.02.2018).
  • [7] Maraşlı, F., & Çıbuk, M. (2015). RFID teknolojisi ve kullanım alanları. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 4(2), 249-275.
  • [8] Boer Bilişim A.Ş. http://boer.com.tr/tr/cozum-155-0-havaalani-ve-hava-yollari.asp, (Erişim Tarihi: 24.03.2018)
  • [9] http://www.aybilbilisim.com.tr/asp/index.asp?frmkodu=urun.asp?bno=35!dil=, (Erişim Tarihi: 22.03.2018).
  • [10] Zhekun, L., Gadh, R., & Prabhu, B. S. (2004). Applications of RFID technology and smart parts in manufacturing. In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, 123-129, American Society of Mechanical Engineers.
  • [11] Akın, A. (2014). Türkiye’nin RFID merkezi, http://www.rfidturkey.com. (Erişim Tarihi: 20.03.2018).
  • [12] Bulut, K. (2008). Güvenli radyo frekansı ile doğrulama (radio frequency identification -RFID) sistemlerinin incelenmesi ve mikroişlemci üzerinde güvenli olacak şekilde gerçekleşmesi, Lisans Tezi, I.T.Ü Elektrik Elektronik Fakültesi, İstanbul.
  • [13] Brown, D. E. (2007). RFID implementation, McGraw-Hill, New York.
  • [14] Weis, S. A. (2003). Security and privacy in radio-frequency identification devices. Doctoral dissertation, Massachusetts Institute of Technology.
  • [15] Zhou, W. (2009). RFID and item-level information visibility. European Journal of Operational Research, 198(1), 252-258.
  • [16] Lin, L. C. (2009). An integrated framework for the development of radio frequency identification technology in the logistics and supply chain management. Computers & Industrial Engineering, 57(3), 832-842.
  • [17] Büyüközkan, G., Karabulut, Y., & Arsenyan, J. (2017). RFID service provider selection: An integrated fuzzy MCDM approach. Measurement, 112, 88-98.
  • [18] Owida, A. M., El-Kilany, K. S., & El-Sayed, A. E. (2010). Analytical hierarchy process for selection of RFID system: an application in retail supply chains. Flexible Automation and Intelligent Manufacturing, 496-503.
  • [19] Vanany, I. (2010). A multi-staged approach for RFID selection decision. Business Review,58(1), 119-132.
  • [20] Cebeci, U., & Kilinc, S. (2007). Selecting RFID systems for glass industry by using fuzzy AHP approach. In RFID Eurasia, 2007 1st Annual,1-4. IEEE.
  • [21] Aytaç Özmen G.,& Birgün S., (2011) Radyo frekansı ile tanımlama sistemi seçiminde analitik hiyerarşi prosesi uygulaması, Havacılık ve Uzay Teknolojileri Dergisi, 5(1), 81- 88.
  • [22] Hamurcu, M., & Eren, T. (2017). Selection of Monorail Technology by using multi criteria decision making. Sigma Journal of Engineering and Natural Sciences, 8(4), 303-314.
  • [23] Yildiz, A. (2016). Interval type 2-fuzzy TOPSIS and fuzzy TOPSIS method in supplier selection in garment industry/Metoda fuzzy TOPSIS Interval tip 2 si metoda fuzzy TOPSIS în selectarea furnizorului din industria de confectii. Industria Textila, 67(5), 322-332.
  • [24] Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Information Sciences, 8, 199–249.
  • [25] Liang, Q., & Mendel, J. M. (2000). Interval type-2 fuzzy logic systems: theory and design. IEEE Transactions on Fuzzy systems, 8(5), 535-550.
  • [26] Mendel, J. M., John, R. I., & Liu, F. (2006). Interval type-2 fuzzy logic systems made simple. IEEE transactions on fuzzy systems, 14(6), 808-821.
  • [27] Wang, W., Liu, X., & Qin, Y. (2012). Multi-attribute group decision making models under interval type-2 fuzzy environment. Knowledge-Based Systems, 30, 121-128.
  • [28] Hu, J., Zhang, Y., Chen, X., & Liu, Y. (2013). Multi-criteria decision making method based on possibility degree of interval type-2 fuzzy number. Knowledge-Based Systems, 43, 21-29.
  • [29] Chen, S. M., & Lee, L. W. (2010). Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets. Expert Systems with applications, 37(1), 824-833.
  • [30] Mendel, J. M. (2009). On answering the question “Where do I start in order to solve a new problem involving interval type-2 fuzzy sets?”. Information Sciences, 179(19), 3418-3431.
  • [31] Lee, L. W., & Chen, S. M. (2008, July). A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2 fuzzy sets. In Machine Learning and Cybernetics, 2008 International Conference on, 6, 3084-3089. IEEE.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik
Bölüm Research Articles
Yazarlar

Aytaç Yıldız Bu kişi benim 0000-0002-0729-633X

Fatih Karakoyun Bu kişi benim 0000-0002-7207-5322

İsmail Enes Parlak Bu kişi benim 0000-0002-0694-9220

Yayımlanma Tarihi 1 Eylül 2018
Gönderilme Tarihi 2 Nisan 2018
Yayımlandığı Sayı Yıl 2018 Cilt: 36 Sayı: 3

Kaynak Göster

Vancouver Yıldız A, Karakoyun F, Parlak İE. THE MOST SUITABLE MOBILE RFID READER SELECTION BY USING INTERVAL TYPE-2 FUZZY TOPSIS METHOD. SIGMA. 2018;36(3):717-29.

IMPORTANT NOTE: JOURNAL SUBMISSION LINK https://eds.yildiz.edu.tr/sigma/