# Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment
## 5 Comparative Performance Analysis
\begin{table}
\begin{tabular}{l l} \hline \hline
**Distribution Model** & **Demand Sequence: (Di. Disaster Regions)** \\ \hline Static RID model with limited vehicles & 14, 2, 26, 16, 11, 4, 27, 28, 23, 5, 21, 12, 6, 1, 15, 3, 18, 17, 19, 29, 22, 25, 7,20, 10, 9,13, 8,24 \\ \hline Dynamic RID scheduling with static information & 27, 17, 11, 23, 9, 21, 16, 19, 12, 13, 18, 6, 4, 14, 26, 2, 1, 3, 25, 20, 7, 28, 10, 22, 8, 5, 15, 29, 24 \\ \hline Dynamic Scheduling with Fuzzy Distance & 29, 7, 25, 18, 6, 10, 23, 9, 15, 27, 5, 28, 4, 19, 22, 8, 17, 21, 1, 26, 13, 2, 14, 12, 16, 20, 3, 11, 24 \\ \hline Dynamic Scheduling with varying Priority & 13, 4, 24, 1, 7, 29, 26, 14, 10, 8, 2, 15, 28, 3, 18, 6, 5, 21, 25, 9, 16, 22, 19, 20, 27, 11, 17, 23, 12 \\ \hline \multirow{7}{*}{\
\begin{tabular}{} \end{tabular} } & Time Slot 0: & **27, 17, 11, 23, 9, 21, 16**, 19, 12, 13, 18, 6, 4, 14, 26, 2, 1, 3, 25, 20, 7, 28, 10, 22, 8, 5, 15, 29, 24 \\ \cline{2-2}  & Time Slot 1: & **24, 6, 12, 26, 15**, 14, 27, 3, 25, 9, 29, 16, 2, 21, 10, 11, 20, 23, 5, 1, 18, 7, 28, 17, 8, 22, 13, 19, 4** \\ \hline \multirow{7}{*}{
\begin{tabular}{} \end{tabular} } & Time Slot 2: & **9, 21, 17, 20, 3, 10, 22, 8, 18, 1, 2, 27, 23, 13, 5, 4, 28, 25, 29, 26, 24, 19, 15, 14, 11, 7, 12, 16, 6 \\ \cline{2-2}  & Time Slot 3: & **26, 8, 4, 2, 24, 20, 18, 27, 13, 17, 15, 28, 6, 25, 29, 19, 5, 21, 7, 9, 1, 11, 14, 22, 3, 12, 10, 16, 23** \\ \cline{2-2}  & Time Slot 4: & **3, 28, 23, 19, 7, 1, 11, 14, 20, 8, 5, 6, 9, 29, 2, 10, 12, 13, 18, 15, 17, 4, 22, 25, 24, 27, 16, 26, 21** \\ \hline \multirow{7}{*}{Best Plan Sequence} & **(Time Slot 0): 27, 17, 11, 23, 9, 21, 16, (Time Slot 1): 24, 6, 12, 26, 15, (Time Slot 2): 9, 21, 17, 20, 3, 10, 22, 8, 18, 1, (Time Slot 3): 26, 8, 4, 2, 24, 20, 18, 27, 13, 17, 15, 28, 6, 25, 29, (Time Slot 4): 3, 28, 23, 19, 7, 1, 11, 14, 20, 8, 5, 6, 9, 29, 2, 10, 12, 13, 18, 15, 17, 4, 22, 25, 24, 27, 16, 26, 21** \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Optimum distribution sequence of RID models. which makes the presented dynamic RID model as close to a disaster case of RID modelling as possible. This combined model uses fuzzified distance, multi-priorities and dynamic update with the sliding time window to generate a distribution sequence. The model starts with an optimised initial relief item distribution sequence. With updates in information, the initially planned sequence may not be the best distribution sequence in the next time slot. Therefore, the distribution sequence is re-optimised in each time slot dynamically with the updated information on disaster impact, road conditions and vehicle availability. The initial RID schedule is planned on the basis of stored information of the disaster regions in terms of population, road links and available resources. The major challenge of this model is the collection of updates in time as the information gathering after any disaster is challenging. However, it possesses the advantage that this model has the scope of any update in the next time slot during the re-optimisation of the RID schedules.