Exploring the impact of RFID on supply chain dynamics
WSC '04 Proceedings of the 36th conference on Winter simulation
Fuzzy inference to risk assessment on nuclear engineering systems
Applied Soft Computing
A fuzzy model for competency-based employee evaluation and selection
Computers and Industrial Engineering
Application of a hybrid intelligent decision support model in logistics outsourcing
Computers and Operations Research
A fuzzy system for helping medical diagnosis of malformations of cortical development
Journal of Biomedical Informatics
Rule-based Mamdani-type fuzzy modeling of skin permeability
Applied Soft Computing
A new approach for evaluating agility in supply chains using Fuzzy Association Rules Mining
Engineering Applications of Artificial Intelligence
Logical second order models: Achieving synergy between computer power and human reason
Information Sciences: an International Journal
Review: Hybrid expert systems: A survey of current approaches and applications
Expert Systems with Applications: An International Journal
A SCADA oriented middleware for RFID technology
Expert Systems with Applications: An International Journal
Supply chain management with lean production and RFID application: A case study
Expert Systems with Applications: An International Journal
Hi-index | 12.06 |
Radio frequency identification (RFID) technology introduces the opportunity for increased visibility by facilitating easy tracking and identifying of goods, assets and even living things. The number of RFID applications and users in various fields are growing. However, high investment cost and inadequate technical capability still remain as challenges for RFID system implementations. That being the case, fair evaluation of savings associated with increasing performance and investment costs has a great role in the success of RFID projects. In this study, a systematic framework for the economic analysis for RFID investment is proposed. In this method, the elements of cost and benefits are determined in order to measure the value of an RFID investment. The expected increase of customer order is determined in terms of delivery accuracy and delivery time via a fuzzy rule-based system. The Monte-Carlo simulation method is used to determine the expected net present value (NPV) of RFID investment. A case study is constructed on the basis of expert conception to illustrate the proposed method.