Selection of RFID solution provider: A fuzzy multi-criteria decision model with Monte Carlo simulation

– The purpose of this paper is to provide a comprehensive framework to help managers of a business enterprise effectively evaluate candidate RFID solution providers and then select the most suitable one., – The selection of an RFID solution provider is modeled as a new hybrid fuzzy multi‐criteria decision making problem. The proposed decision model is based on integration of Monte Carlo simulation with fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. In addition, an illustrative case is used to exemplify the proposed approach., – A quantitative methodology based on a structured framework, for the selection of the most appropriate RFID solution provider., – This research study is a very useful source of information for managers of a business enterprise in making decisions about evaluation and selection of RFID solution providers or RFID system integrators., – This study addresses the evaluation and selection of RFID solution providers for the managers of a business enterprise and proposes a new hybrid decision‐making methodology for the problem.

[1]  A. Marasco Third-party logistics: A literature review , 2008 .

[2]  Reza Zanjirani Farahani,et al.  Fuzzy AHP to determine the relative weights of evaluation criteria and Fuzzy TOPSIS to rank the alternatives , 2010, Appl. Soft Comput..

[3]  Chen-Tung Chen,et al.  Extensions of the TOPSIS for group decision-making under fuzzy environment , 2000, Fuzzy Sets Syst..

[4]  Manish Bhuptani,et al.  RFID Field Guide: Deploying Radio Frequency Identification Systems , 2005 .

[5]  Rebecca Angeles,et al.  Rfid Technologies: Supply-Chain Applications and Implementation Issues , 2004, Inf. Syst. Manag..

[6]  S. H. Choi,et al.  Implementation issues in RFID-based anti-counterfeiting systems , 2011, Comput. Ind..

[7]  Kazim Sari,et al.  Inventory inaccuracy and performance of collaborative supply chain practices , 2008, Ind. Manag. Data Syst..

[8]  W. Pedrycz,et al.  A fuzzy extension of Saaty's priority theory , 1983 .

[9]  Mark Beauchamp Don't rule out the bar code , 2008 .

[10]  Gento Mogi,et al.  The competitiveness of Korea as a developer of hydrogen energy technology: The AHP approach , 2008 .

[11]  Ufuk Cebeci,et al.  Fuzzy AHP-based decision support system for selecting ERP systems in textile industry by using balanced scorecard , 2009, Expert Syst. Appl..

[12]  Kazim Sari,et al.  Exploring the impacts of radio frequency identification (RFID) technology on supply chain performance , 2010, Eur. J. Oper. Res..

[13]  Karen Ka-Leung Moon,et al.  RFID systems implementation: a comprehensive framework and a case study , 2010 .

[14]  Tien-Chin Wang,et al.  Application of TOPSIS in evaluating initial training aircraft under a fuzzy environment , 2007, Expert Syst. Appl..

[15]  M. Bohanec,et al.  The Analytic Hierarchy Process , 2004 .

[16]  Chen-Fu Chien,et al.  An AHP-based approach to ERP system selection , 2005 .

[17]  S. Chanas The use of parametric programming in fuzzy linear programming , 1983 .

[18]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[19]  Judith Myerson RFID in the Supply Chain: A Guide to Selection and Implementation , 2006 .

[20]  Po-Hsun Cheng,et al.  Applying Fuzzy TOPSIS Approach for Evaluating RFID System Suppliers in Healthcare Industry , 2009 .

[21]  Elgar Fleisch,et al.  Inventory Inaccuracy and Supply Chain Performance: A Simulation Study of a Retail Supply Chain , 2005 .

[22]  L. McCathie,et al.  Barriers to RFID Adoption in the Supply Chain , 2007, 2007 1st Annual RFID Eurasia.

[23]  Ceyda Güngör Şen,et al.  An integrated decision support system dealing with qualitative and quantitative objectives for enterprise software selection , 2009, Expert Syst. Appl..

[24]  Monideepa Tarafdar,et al.  Classification of RFID adoption: An expected benefits approach , 2009, Inf. Manag..

[25]  Mao-Jiun J. Wang,et al.  Personnel selection using fuzzy MCDM algorithm , 1994 .

[26]  P. Leung,et al.  Evaluating fisheries management options in Hawaii using analytic hierarchy process (AHP) 1 Senior au , 1998 .

[27]  S. Kilinc,et al.  Selecting RFID Systems for Glass Industry by Using Fuzzy AHP Approach , 2007, 2007 1st Annual RFID Eurasia.

[28]  Alp Ustundag,et al.  The impacts of Radio Frequency Identification (RFID) technology on supply chain costs , 2009 .

[29]  Gülçin Büyüközkan,et al.  Selection of the strategic alliance partner in logistics value chain , 2008 .