A Novel Output Prediction Method in Production Management Based on Parameter Evaluation Using DHNN

Table 1

Basic datum which affects output prediction in an aviation manufacturing enterprise.

Season	Total number of equipment	Number of running equipment	Number of added equipment	Labor hours last season	Rejection rate	Average number of parts process	Output last season	Output this season
1996	704	587	236	200.68	0.69	5.07	27	33
1997	790	634	253	246.87	0.63	5.44	33	36
1998	880	707	352	289.22	0.59	5.77	36	43
1999	1030	858	344	329.33	0.56	6.04	43	50
2000	1201	942	482	370.29	0.56	6.48	50	58
2001	1329	959	536	394.42	0.6	6.79	58	62
2002	1510	1000	501	436.39	0.6	7.38	62	67
2003	1624	1057	522	468.77	0.54	7.3	67	70
2004	1703	1086	427	525.35	0.51	7.44	70	73
2005	1813	1125	343	558.68	0.48	7.7	73	77
2006	1841	1165	379	550.63	0.44	7.91	77	78
2007	1884	1234	445	602.78	0.46	8.23	78	86
2008	2319	1841	521	642.24	0.42	8.61	86	101
2009	2893	2601	590	652.68	0.42	8.87	101	119
2010	3288	2754	659	845.5	0.45	8.86	119	135
2011	3935	3174	973	1001.07	0.42	8.49	135	150
2012	4104	3697	1173	1099.57	0.43	8.6	150	160