Failure Modes and Effects Analysis (FMEA) Method Based on Data Envelopment Analysis (DEA) Approach for the Efficiency Measurment of Radio Frequency Identification (RFID)

There are many papers which emphasize on the benefits of radio frequency identification (RFID) technology implementation in the management and the production. This technology is used in many fields such as inventory, logistics, return management, order picking in a warehouse, assembly and testing and health care Etc. The existing literature examined the efficiency of RFID based on one of the following factors: accuracy, reliability, service enhancement, cost, time, work efficiency, flexibility, interactivity, risk management, emergency, privacy, energy and big Data. In this research, we will shed the light on the failure modes of this technology by using FMEA Approach, then we will measure the efficiency of solving each of these failures according to their severity, occurrence, detection, cost and time; using data envelopment analysis (DEA). DEA is a non-parametric method that evaluates the efficiency of the collection of decision making units (DMUs) when all of them consume and produce the same inputs and outputs respectively. A DMU can be efficient when it is able to produce more outputs by consuming fewer inputs. This economical point of view transforms the issue into a linear programming problem. Based on DEA concept, each failure mode of the RFID technology will be considered as a DMU, and the above mentioned criteria as inputs/outputs. Then the efficiency of these DMUs will be evaluated by DEA models.