Table 3 The various forecasts for the capacity and production planning problem

From: A fuzzy mid-term capacity and production planning model for a manufacturing system with cloud-based capacity

t \( \tilde{d}(t) \) (pieces) \( W(t) \) (h) \( \tilde{y}(t) \) \( \tilde{v}(t) \)
1 (970, 994, 1030) 744 (71%, 75%, 77%) (73%, 75%, 82%)
2 (1380, 1499, 1635) 672 (71%, 76%, 78%) (76%, 80%, 86%)
3 (1175, 1266, 1362) 744 (72%, 77%, 79%) (83%, 85%, 90%)
4 (1656, 1729, 1818) 720 (72%, 78%, 81%) (83%, 90%, 92%)
5 (2016, 2117, 2247) 744 (73%, 78%, 82%) (82%, 90%, 98%)
6 (2350, 2498, 2650) 720 (74%, 79%, 82%) (89%, 90%, 91%)
7 (2182, 2313, 2452) 744 (75%, 79%, 83%) (90%, 90%, 92%)
8 (1767, 1825, 1900) 744 (75%, 79%, 83%) (87%, 90%, 93%)
9 (1697, 1755, 1837) 720 (76%, 80%, 82%) (84%, 90%, 91%)
10 (1457, 1527, 1627) 744 (77%, 80%, 86%) (83%, 90%, 95%)
11 (2366, 2495, 2678) 720 (78%, 80%, 86%) (87%, 90%, 96%)
12 (2085, 2192, 2343) 744 (79%, 81%, 86%) (88%, 90%, 96%)