A New Manufacturing Service Selection and Composition Method Using Improved Flower Pollination Algorithm

Table 1

The partial candidate manufacturing services and corresponding attribute values.

Subtask	Candidate manufacturing service	Cost	Time	Reliability	Availability	Carbon emission
Subtask1	MSS11	33.00	2.99	0.99	0.48	3.57
	MSS12	7.75	6.19	0.64	0.42	2.86
	MSS13	32.51	9.39	0.70	0.95	1.54
Subtask2	MSS21	29.04	4.18	0.60	0.64	0.87
	MSS22	3.79	7.38	0.65	0.57	3.69
	MSS23	28.54	0.58	0.70	0.51	1.48
Subtask3	MSS31	0.32	2.17	0.96	0.86	4.35
	MSS32	25.08	5.37	0.61	0.79	2.37
	MSS33	49.83	8.56	0.66	0.73	0.65
Subtask4	MSS41	21.61	0.15	0.92	0.48	2.95
	MSS42	46.36	3.35	0.97	0.42	0.29
	MSS43	21.11	6.55	0.62	0.95	4.45
Subtask5	MSS51	42.89	8.14	0.88	0.70	3.67
	MSS52	17.65	1.34	0.93	0.64	1.28
	MSS53	42.40	4.54	0.98	0.57	2.36
Subtask6	MSS61	39.43	2.93	0.79	0.99	4.32
	MSS62	38.93	9.33	0.89	0.86	0.57
	MSS63	13.68	2.53	0.94	0.79	3.75