Improving inventory effectiveness in RFID-enabled global supply chain with Grey forecasting model

Time-Delayed Polynomial Grey System Model with the Fractional Order Accumulation

“…Step . Substitute the original sequence along with its series and the background values into (7) and compute the parameters 1 , 2 , 3 , 4 by solving the linear system in (7).…”

“…These models are often named as grey models. GM (1,1), that is, first-order Grey model with one variable, has been successfully applied in many disciplines [7][8][9][10][11][12][13]. However, the existing GM (1,1) model cannot be accurate prediction for many actual systems.…”

Interval Forecasting in Supply Chain with Small Sample

“…( )+⋅ ⋅ ⋅+ ( / ) ( )+ . Then the / (0 ≤ / ≤ 1) order inverse accumulated generating operator of the predicted value is the same as (5).…”

“…In certain cases, the number of available samples is so scarce that providing reliable estimates is a challenging problem [3]. In order to analyze and predict the small samples systems accurately, a large number of studies on supply chain forecasting using grey models and improved grey models have been reported [4][5][6][7]. The GM(1,1) (grey first-order differential equation model) forecasting model is formulated for solving limited time series data [8].…”

Designing of an intelligent self-adaptive model for supply chain ordering management system

“…Wang et al (2008) used agent based simulation to analyze the impact of radio frequency identification (RFID) technology on the improvement of an inventory system of LCD supply chain in Taiwan. Wang et al (2011) developed a multiagent model of supply chain to investigate (RFID) impact on inventory system based on total inventory cost, inventory turnover and the bullwhip effect.…”