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Timestamp_hr
int64
0
5k
Node_Tier
stringclasses
1 value
Current_Inventory_Pallets
int64
0
18.4k
Inbound_Transit_Pallets
int64
0
600
Lead_Time_hrs
float64
1
120
Stochastic_Demand
int64
8
149
Holding_Cost_USD
float64
0
46.1k
Stockout_Penalty_USD
int64
0
149k
Episode_ID
int64
1
9
0
Tier_3
145
0
22.5
105
362.5
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1
1
Tier_3
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28.9
88
142.5
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3
Tier_3
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Tier_3
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5
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110,000
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6
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7
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8
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9
Tier_3
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0
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10
Tier_3
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20.5
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11
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128,000
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12
Tier_3
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19.2
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103,000
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13
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0
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81,000
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14
Tier_3
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0
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135,000
1
15
Tier_3
0
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18.7
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0
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16
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0
24.1
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0
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17
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0
0
21
125
0
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18
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18
23.3
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19
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20
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22
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16
19.5
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23
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1
24
Tier_3
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0
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79,000
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25
Tier_3
239
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597.5
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2
26
Tier_3
224
0
25.1
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560
0
2
27
Tier_3
205
0
20.5
19
512.5
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2
28
Tier_3
192
0
26.8
13
480
0
2
29
Tier_3
176
0
19.9
16
440
0
2
30
Tier_3
158
0
24.5
18
395
0
2
31
Tier_3
146
0
22.1
12
365
0
2
32
Tier_3
131
0
25.9
15
327.5
0
2
33
Tier_3
114
0
21.3
17
285
0
2
34
Tier_3
100
0
23
14
250
0
2
35
Tier_3
87
0
20.8
13
217.5
0
2
36
Tier_3
71
0
27.5
16
177.5
0
2
37
Tier_3
53
0
22.9
18
132.5
0
2
38
Tier_3
38
0
24.1
15
95
0
2
39
Tier_3
21
0
19.5
17
52.5
0
2
40
Tier_3
9
0
25.2
12
22.5
0
2
41
Tier_3
0
0
21.7
14
0
5,000
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42
Tier_3
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0
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43
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0
14
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16
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44
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0
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45
Tier_3
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0
22.5
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0
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46
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0
0
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17
0
17,000
2
47
Tier_3
0
11
18.7
14
0
3,000
2
48
Tier_3
0
0
23.3
11
0
11,000
2
49
Tier_3
1
17
25
16
2.5
0
2
50
Tier_3
0
0
25.1
14
0
13,000
2
51
Tier_3
0
18
23.8
18
0
0
2
52
Tier_3
0
0
24.5
15
0
15,000
2
53
Tier_3
9
20
26
11
22.5
0
2
54
Tier_3
18
25
22.9
16
45
0
2
55
Tier_3
14
15
24.1
19
35
0
2
56
Tier_3
15
14
25.5
13
37.5
0
2
57
Tier_3
17
19
23.2
17
42.5
0
2
58
Tier_3
18
16
24.8
15
45
0
2
59
Tier_3
20
16
25.9
14
50
0
2
60
Tier_3
13
11
23.5
18
32.5
0
2
61
Tier_3
1
0
24.3
12
2.5
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2
62
Tier_3
0
18
26.1
19
0
0
2
63
Tier_3
16
31
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40
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Tier_3
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25
13
45
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2
65
Tier_3
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37.5
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Tier_3
34
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Tier_3
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25.3
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Tier_3
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24
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69
Tier_3
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70
Tier_3
1
19
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2.5
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2
71
Tier_3
22
34
25.2
13
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2
72
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24.7
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17.5
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73
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23.9
12
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74
Tier_3
0
17
26.3
17
0
0
2
75
Tier_3
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25.1
16
585
0
3
76
Tier_3
222
0
22.9
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555
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3
77
Tier_3
207
0
23.5
15
517.5
0
3
78
Tier_3
190
0
24.8
17
475
0
3
79
Tier_3
177
0
21.3
13
442.5
0
3
80
Tier_3
163
0
23.1
14
407.5
0
3
81
Tier_3
152
0
25.5
11
380
0
3
82
Tier_3
134
0
22.1
18
335
0
3
83
Tier_3
119
0
23.9
15
297.5
0
3
84
Tier_3
100
0
21
19
250
0
3
85
Tier_3
90
0
24.2
10
225
0
3
86
Tier_3
74
0
23.3
16
185
0
3
87
Tier_3
61
0
25
13
152.5
0
3
88
Tier_3
47
0
22.5
14
117.5
0
3
89
Tier_3
32
0
23.7
15
80
0
3
90
Tier_3
20
0
21.9
12
50
0
3
91
Tier_3
3
0
24.5
17
7.5
0
3
92
Tier_3
0
0
23
18
0
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3
93
Tier_3
0
0
22.8
11
0
11,000
3
94
Tier_3
0
0
24.1
14
0
14,000
3
95
Tier_3
0
0
21.5
19
0
19,000
3
96
Tier_3
0
0
23.8
13
0
13,000
3
97
Tier_3
0
0
25.2
16
0
16,000
3
98
Tier_3
0
0
22.3
15
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3
99
Tier_3
1
18
24.7
17
2.5
0
3
End of preview. Expand in Data Studio

Defense Logistics Simulation Suite (5,000-Hour Sample)

Mission-critical supply chain telemetry engineered for zero-drift mathematical precision and high-stakes stochastic chaos.

Overview

This is a high-fidelity synthetic dataset representing a Tier-3 End Unit (Forward Operating Base) operating under continuous stress and operational surges. It is designed to bridge the gap between "clean" academic datasets and the messy reality of edge-node logistics.

This 5,000-hour sample is a subset of the AI Mind Teams 50,000-Hour Premium Suite, engineered to stress-test Reinforcement Learning (RL) agents and forecasting models.

Key Features

  • 0.0 Mathematical Drift: Verified flow conservation physics: $I_t = \max(0, I_{t-1} + R_t - D_t)$.
  • Route Severance Physics: Dynamic lead-time spikes (24h to 150h+).
  • Stochastic Demand: Poisson-distributed consumption with periodic operational surges.
  • Transit Pipeline Queue: Real-time tracking of orders in the "void."

Data Dictionary

Column Name Description
Current_Inventory_Pallets Net physical inventory at the start of the hour.
Inbound_Transit_Pallets Pipeline Arrival: Total supply physically arriving this hour.
Lead_Time_hrs Current expected transit time for newly placed orders.
Stochastic_Demand End-user consumption for the hour.
Holding_Cost_USD $2.50 per pallet per hour.
Stockout_Penalty_USD $1,000.00 per pallet shortfall.

Licensing & Commercial Use

This 5,000-hour sample is provided under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) license. It is intended for academic research and non-commercial exploration.


Upgrade to the Full Suite (Commercial Ready)

For commercial research, interactive RL training, and full-scale benchmarking, the AI Mind Teams Enterprise Suite includes:

  • 50,000-Hour Full Dataset (No Sampling Noise).
  • Interactive Farama Gymnasium Environment (Plug-and-play RL training).
  • Pre-tuned PPO & (s, S) Baseline Scripts.
  • Full Commercial Usage License.

Get the Professional/Enterprise Suite on Gumroad


Contact: aimindteams@gmail.com

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