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Identifying the Critical Factors of Sustainable Manufacturing Using the Fuzzy DEMATEL Method

Luwei Jiang
Luwei Jiang
, 
Tenghao Zhang
Tenghao Zhang
 und 
Yanfei Feng
Yanfei Feng
   | 05. Nov. 2020
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Online veröffentlicht: 05. Nov. 2020
Seitenbereich: 391 - 404
Eingereicht: 28. Mai 2020
Akzeptiert: 14. Aug. 2020
DOI: https://doi.org/10.2478/amns.2020.2.00045
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© 2020 Luwei Jiang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Fig. 1

Factors of manufacturing niche
Factors of manufacturing niche

Fig. 2

Steps of fuzzy DEMATEL
Steps of fuzzy DEMATEL

Fig. 3

Cause-effect group diagram.
Cause-effect group diagram.

Indicators of manufacturing niche.

FactorsIndicators
Economic factor (A1)Total asset contribution rateN1
Industrial value-added growth rateN2
Profit margin on outputN3
Profit margin on salesN4
Profit margin on cost and expenseN5
Fixed assets investment novelty coefficientN6
Technical factor (A2)R&D investment intensityN7
R&D personnel investment intensityN8
The number of invention patents per capitaN9
The input-output ratio of new productsN10
The proportion of technology market turnoverN11
Policy factor (A3)Government R&D expenditure ratioN12
The number of government innovation policiesN13
The rate of introduction of scientific and technological talentsN14
Ecological factor (A4)Energy consumption per unit output valueN15
Completion rate of industrial pollution controlN16
Air quality ratioN17

The total relation matrix T

FactorsA1A2A3A4
N1N2N3N4N5N6N7N8N9N10N11N12N13N14N15N16N17
A1N10.3100.3300.3370.3190.3250.2600.3150.2980.3010.3290.3070.2720.2510.2720.3010.2700.242
N20.3690.3790.3920.3720.3790.3010.3690.3490.3530.3850.3590.3200.2940.3180.3520.3170.285
N30.3720.3870.3870.3750.3810.3030.3700.3500.3540.3890.3620.3190.2950.3180.3540.3190.285
N40.3200.3330.3410.3160.3290.2610.3180.3010.3050.3330.3100.2740.2540.2730.3030.2730.245
N50.3310.3470.3540.3350.3350.2720.3310.3130.3170.3460.3220.2850.2640.2830.3170.2850.254
N60.3370.3520.3580.3400.3480.2710.3370.3190.3210.3530.3270.2900.2670.2870.3210.2900.258
A2N70.4350.4550.4610.4370.4460.3540.4270.4130.4170.4550.4250.3760.3460.3740.4130.3740.334
N80.4370.4590.4640.4400.4500.3570.4400.4080.4210.4590.4280.3790.3490.3770.4170.3770.337
N90.4210.4420.4460.4240.4330.3440.4240.4030.3980.4430.4130.3660.3380.3640.4020.3630.324
N100.4160.4360.4420.4200.4280.3410.4170.3950.3990.4280.4070.3600.3330.3590.3970.3570.319
N110.4160.4360.4430.4210.4280.3410.4180.3960.4010.4360.4000.3620.3340.3600.3970.3580.320
A3N120.4400.4590.4660.4420.4520.3600.4420.4190.4240.4610.4300.3750.3530.3810.4200.3790.340
N130.4230.4420.4490.4270.4350.3470.4260.4040.4080.4430.4150.3710.3340.3690.4050.3660.328
N140.4130.4330.4370.4140.4230.3360.4130.3940.3980.4320.4040.3590.3320.3500.3940.3560.318
A4N150.3650.3810.3860.3680.3750.2970.3630.3440.3460.3790.3530.3140.2900.3130.3420.3180.286
N160.3310.3470.3520.3350.3420.2710.3320.3140.3180.3470.3230.2880.2660.2870.3220.2830.263
N170.2670.2810.2850.2710.2770.2200.2690.2550.2570.2810.2610.2340.2160.2330.2610.2380.206

The centrality of factors and cause-effect group.

DR(R+D)(R−D)
A1N15.0406.40311.443−1.363
N25.8906.70012.591−0.810
N35.9196.80012.718−0.881
N45.0906.45511.545−1.365
N55.2896.58711.876−1.298
N65.3785.23410.6120.143
A2N76.9446.41113.3560.533
N86.9996.07513.0740.923
N96.7486.13912.8860.609
N106.6566.69713.354−0.041
N116.6666.24612.9110.420
A3N127.0425.54412.5861.499
N136.7925.11811.9101.675
N146.6085.51812.1261.090
A4N155.8236.12011.943−0.297
N165.3235.52410.846−0.201
N174.3124.9469.257−0.634

The Fuzzy Linguistic Scale.

Linguistic ternsInfluence scoreTriangular fuzzy numbers(TFN)
No influence0(0,0.1,0.3)
Low influence1(0.1,0.3,0.5)
Medium influence2(0.3,0.5,0.7)
Strong influence3(0.5,0.7,0.9)
Very strong influence4(0.7,0.9,1)
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