|
| Authors | Demand | Information | Error | Delay | Unwilled | Willed | Methodology | Number of echelons | Demand structure | Replenishment policy | Forecasting technique | Error model | Delay model | Impact on Bullwhip effect | Impact on average inventory | Impact on inventory variability |
|
| Lu et al. [52] | x | | x | | x | | Analytical model and numerical analysis | 2 | AR (1) | Order-up-to | MMSE | iid | NA | NA | NA | ↑↓ |
| Kwak & Gavirneni [14] | X | | X | | X | | Analytical model and numerical analysis | 2 | iid | Order-up-to | NA | Percentage | NA | NA | Echelon 2: ↑ | NA |
| Hoberg and Thonemann [17] | X | | | X | X | | Control theory | 2 | iid | Order-up-to | Exponential smoothing | NA | Constant
(1–4 days) | ↑↓ | NA | NA |
| Peng et al. [26] | | X | | X | X | | System dynamics simulation | 2 | NA | Order-up-to | Exponential smoothing | NA | Stochastic (negative exponential function) | NA | Echelon 2: ↑ | NA |
| Hosoda and Disney [19] | X | | | X | X | | Analytical model and numerical analysis | 2 | AR (1) | Order-up-to | Conditional expectation (echelon 1):
(a) sub-optimum
(b) optimum | NA | Constant | (a) ↓
(b) ↑ | NA | (a) Echelon 1: ↑
(a) Echelon 2: ↓
(b) Echelon 1: ↑
(b) Echelon 2: ↑ |
| Hosoda and Disney [18] | X | | | X | X | | Analytical model and numerical analysis | 1 | AR (1) | Order-up-to | Conditional expectation | NA | Constant
(1 day) | NA | NA | Echelon 1: ↑ |
| Kim [35] | X | | | X | X | | Analytical model and numerical analysis | 2 | AR (1) | Order-up-to | NA | NA | Constant | NA | NA | Echelon 2: ↑ |
| Nachtmann et al. [36] | X | | X | | X | | Simulation model and statistical analysis | 1 | iid (gamma) | Order-up-to | Exponential smoothing (alpha = 0.1) | Percentage | NA | NA | Echelon 1: ↑ | NA |
| Munoz and Clements [37] | | X | | X | X | | Discrete event simulation | 4 | Triangular random distribution | NA | NA | NA | Constant
(1–4 weeks) | NA | NA | NA |
| Choi [38] | X | | X | | X | | Simulation model | 2 | iid | Order-up-to | NA | Additive | NA | NA | Echelon 2: ↑ | NA |
| Mishra et al. [13] | | X | X | | | X | Analytical model and numerical analysis | 2 | iid | NA | NA | NA | NA | NA | NA | NA |
| Paik and Bagchi [40] | | X | | X | X | | Simulation model and statistical analysis | 4 | Step | Order-up-to | NA | NA | Constant
(1–4 weeks) | ↑ | NA | NA |
| Kim [42] | X | | | X | X | | Analytical model | 2 | AR (1) | Order-up-to | NA | NA | Constant | NA | NA | Echelon 2: ↑ |
| Zhang [43] | X | | | X | X | | Analytical model | 1 | AR (1) | Order-up-to | MMSE | NA | Constant | ↓ | NA | NA |
| Angulo et al. [45] | X | | X | | X | | Discrete event simulation and statistical analysis | 4 | Poisson process:
(a) Stationary
(b) Nonstationary | Order-up-to | Moving average | Percentage | NA | NA | (b) Echelon 2: ↑ | NA |
| X | | | X | X | | NA | Constant
(2 days) | NA | (a) Echelon 1: ↑
(a) Echelon 2: ↑
(b) Echelon 1: ↑
(b) Echelon 2: ↓ | NA |
| Chen [48] | | X | | X | X | | Analytical model | N | iid | Order-up-to | NA | NA | Constant | NA | NA | NA |
|
