Table 3 Data Extraction for Further Analysis and Calculations.
From: Uncovering the Influence of Operational Factors on Manufacturing Efficiency with Real Time Data
date | shift_in_minutes (Min) | Planned_downtime_tea_lunch_dinner (Min) | num_rollers | num_good_rollers | num_rollers_waste | ideal_cycle_time (Min) | Customer_demand |
|---|---|---|---|---|---|---|---|
16-Aug-23 | 59.833333 | 15 | 5 | 5 | 0 | 24 | 10 |
21-Aug-23 | 242.26667 | 60 | 3 | 3 | 0 | 24 | 8 |
22-Aug-23 | 406.53333 | 120 | 8 | 8 | 0 | 24 | 13 |
25-Aug-23 | 688.61667 | 120 | 13 | 13 | 0 | 24 | 18 |
26-Aug-23 | 418.23333 | 120 | 12 | 11 | 1 | 24 | 17 |
27-Aug-23 | 853.5 | 120 | 26 | 26 | 0 | 24 | 31 |
28-Aug-23 | 691.01667 | 120 | 9 | 9 | 0 | 24 | 14 |
5-Sep-23 | 135.16667 | 15 | 5 | 1 | 4 | 24 | 10 |
13-Sep-23 | 12.166667 | 15 | 2 | 2 | 0 | 24 | 7 |
15-Sep-23 | 358.98333 | 60 | 8 | 8 | 0 | 24 | 13 |
16-Sep-23 | 621.61667 | 120 | 35 | 35 | 0 | 24 | 40 |
17-Sep-23 | 449.95 | 120 | 37 | 36 | 1 | 24 | 42 |
18-Sep-23 | 705.95 | 120 | 43 | 41 | 2 | 24 | 48 |
20-Sep-23 | 787.96667 | 120 | 34 | 33 | 1 | 24 | 39 |
22-Sep-23 | 919.3 | 120 | 33 | 32 | 1 | 24 | 38 |
23-Sep-23 | 561.58333 | 120 | 12 | 12 | 0 | 24 | 17 |
27-Sep-23 | 544.46667 | 120 | 22 | 20 | 2 | 24 | 27 |
28-Sep-23 | 247.08333 | 60 | 7 | 7 | 0 | 24 | 12 |
29-Sep-23 | 227.86667 | 60 | 6 | 5 | 1 | 24 | 11 |
30-Sep-23 | 185.06667 | 60 | 4 | 4 | 0 | 24 | 9 |
