Table 5 Coefficient estimates of...

Table 5

Coefficient estimates of features in the 20 logistic regression models

	Accuracy level	5% models				10% models				30% models				50% models				100% models
	Horizon (weeks)	2	4	8	12	2	4	8	12	2	4	8	12	2	4	8	12	2	4	8	12
	N total	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129
	N accurate	132,757	111,935	82,064	88,401	146,301	125,218	89,630	100,236	178,907	163,730	123,152	136,917	197,312	188,859	162,780	167,681	205,121	201,348	189,049	187,665
Features	Intercept	−0.91*	1.01*	1.11*	−0.44*	−1.61*	0.63*	1.08*	−0.54*	−2.64*	−0.77*	0.40*	−1.09*	−4.52*	−2.50*	−1.12*	−2.11*	−6.49*	−4.27*	−3.27*	−3.76*
	Car Model A	−0.03	−0.06*	−0.10*	−0.06*	−0.03	−0.07*	−0.11*	−0.06*	−0.03	−0.08*	−0.11*	−0.05*	−0.09*	−0.12*	−0.12*	−0.02	−0.17*	−0.18*	−0.20*	−0.09*
	Car Model B	−0.17*	−0.10*	−0.11*	−0.07*	−0.17*	−0.07*	−0.10*	−0.06*	−0.07*	−0.03	−0.07*	−0.05*	−0.06	−0.04	−0.09*	−0.10*	−0.03	−0.03	−0.06	−0.06
	Car Model C	0.00	0.03	0.01	0.02	0.02	0.07*	0.03	0.04*	0.09*	0.14*	0.09*	0.08*	0.16*	0.20*	0.12*	0.08*	0.17*	0.21*	0.20*	0.12*
	Car Model D	−0.08*	0.00	−0.06*	0.09	−0.14*	−0.03	−0.08*	0.08*	−0.15*	−0.04*	−0.09*	0.08*	−0.03	0.03	−0.02	0.13*	0.16*	0.18*	0.11*	0.16*
	Car Model E	0.12*	0.04*	0.02	0.04*	0.13*	0.02	0.01	0.03*	0.19*	−0.04*	−0.05*	0.00	0.24*	−0.13*	−0.09*	−0.09*	0.20*	−0.11*	−0.03	−0.13*
	Car Model F	−0.08*	0.02	0.05*	0.12*	−0.06*	0.04	0.04	0.14*	0.05*	0.15*	0.08*	0.17*	0.06*	0.15*	0.03	0.13*	0.11*	0.20*	0.00	0.14*
	Forecasted volume	0.21*	0.07*	0.06	−0.11*	0.07*	−0.05*	−0.02	−0.12*	−0.28*	−0.38*	−0.23*	−0.52*	−0.14*	−0.21*	0.05	−0.17*	−0.13*	−0.29*	0.25*	0.12*
	Order life cycle	0.27*	0.16*	−0.14*	−0.50*	0.22*	0.15*	−0.05*	−0.41*	0.23*	0.11*	0.06*	−0.32*	0.13*	−0.11*	−0.10*	−0.38*	−0.04	−0.30*	−0.35*	−0.47*
	Take rate	−0.20*	−0.11*	−0.06*	−0.14*	−0.19*	−0.11*	−0.05*	−0.14*	−0.07*	−0.02*	−0.01	−0.05*	−0.19*	−0.13*	−0.28*	−0.22*	−0.25*	−0.18*	−0.51*	−0.45*
	Unit load	−0.41*	−0.32*	−0.41*	−0.32*	−0.21*	−0.15*	−0.30*	−0.17*	0.20*	0.25*	0.02*	0.19*	0.45*	0.48*	0.27*	0.34*	0.67*	0.70*	0.54*	0.56*
	Production deviation	0.28*	0.22*	0.05*	0.09*	0.29*	0.21*	0.05*	0.10*	0.21*	0.18*	0.04*	0.08*	0.12*	0.13*	0.00	0.04*	0.08*	0.08*	−0.04*	0.04
	Pick-up frequency	0.14*	0.14*	0.25*	0.13*	0.13*	0.13*	0.27*	0.12*	0.15*	0.13*	0.28*	0.15*	0.12*	0.09*	0.23*	0.16*	0.12*	0.10*	0.22*	0.13*
	Transport lead time	0.09*	0.06*	−0.01	0.08*	0.07*	0.04*	−0.04*	0.09*	0.09*	0.06*	−0.09*	0.07*	0.10*	0.07*	0.03*	0.07*	0.11*	0.08*	0.09*	0.06*

	Accuracy level	5% models				10% models				30% models				50% models				100% models
	Horizon (weeks)	2	4	8	12	2	4	8	12	2	4	8	12	2	4	8	12	2	4	8	12
	N total	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129	211,092	212,087	204,116	201,129
	N accurate	132,757	111,935	82,064	88,401	146,301	125,218	89,630	100,236	178,907	163,730	123,152	136,917	197,312	188,859	162,780	167,681	205,121	201,348	189,049	187,665
Features	Intercept	−0.91*	1.01*	1.11*	−0.44*	−1.61*	0.63*	1.08*	−0.54*	−2.64*	−0.77*	0.40*	−1.09*	−4.52*	−2.50*	−1.12*	−2.11*	−6.49*	−4.27*	−3.27*	−3.76*
	Car Model A	−0.03	−0.06*	−0.10*	−0.06*	−0.03	−0.07*	−0.11*	−0.06*	−0.03	−0.08*	−0.11*	−0.05*	−0.09*	−0.12*	−0.12*	−0.02	−0.17*	−0.18*	−0.20*	−0.09*
	Car Model B	−0.17*	−0.10*	−0.11*	−0.07*	−0.17*	−0.07*	−0.10*	−0.06*	−0.07*	−0.03	−0.07*	−0.05*	−0.06	−0.04	−0.09*	−0.10*	−0.03	−0.03	−0.06	−0.06
	Car Model C	0.00	0.03	0.01	0.02	0.02	0.07*	0.03	0.04*	0.09*	0.14*	0.09*	0.08*	0.16*	0.20*	0.12*	0.08*	0.17*	0.21*	0.20*	0.12*
	Car Model D	−0.08*	0.00	−0.06*	0.09	−0.14*	−0.03	−0.08*	0.08*	−0.15*	−0.04*	−0.09*	0.08*	−0.03	0.03	−0.02	0.13*	0.16*	0.18*	0.11*	0.16*
	Car Model E	0.12*	0.04*	0.02	0.04*	0.13*	0.02	0.01	0.03*	0.19*	−0.04*	−0.05*	0.00	0.24*	−0.13*	−0.09*	−0.09*	0.20*	−0.11*	−0.03	−0.13*
	Car Model F	−0.08*	0.02	0.05*	0.12*	−0.06*	0.04	0.04	0.14*	0.05*	0.15*	0.08*	0.17*	0.06*	0.15*	0.03	0.13*	0.11*	0.20*	0.00	0.14*
	Forecasted volume	0.21*	0.07*	0.06	−0.11*	0.07*	−0.05*	−0.02	−0.12*	−0.28*	−0.38*	−0.23*	−0.52*	−0.14*	−0.21*	0.05	−0.17*	−0.13*	−0.29*	0.25*	0.12*
	Order life cycle	0.27*	0.16*	−0.14*	−0.50*	0.22*	0.15*	−0.05*	−0.41*	0.23*	0.11*	0.06*	−0.32*	0.13*	−0.11*	−0.10*	−0.38*	−0.04	−0.30*	−0.35*	−0.47*
	Take rate	−0.20*	−0.11*	−0.06*	−0.14*	−0.19*	−0.11*	−0.05*	−0.14*	−0.07*	−0.02*	−0.01	−0.05*	−0.19*	−0.13*	−0.28*	−0.22*	−0.25*	−0.18*	−0.51*	−0.45*
	Unit load	−0.41*	−0.32*	−0.41*	−0.32*	−0.21*	−0.15*	−0.30*	−0.17*	0.20*	0.25*	0.02*	0.19*	0.45*	0.48*	0.27*	0.34*	0.67*	0.70*	0.54*	0.56*
	Production deviation	0.28*	0.22*	0.05*	0.09*	0.29*	0.21*	0.05*	0.10*	0.21*	0.18*	0.04*	0.08*	0.12*	0.13*	0.00	0.04*	0.08*	0.08*	−0.04*	0.04
	Pick-up frequency	0.14*	0.14*	0.25*	0.13*	0.13*	0.13*	0.27*	0.12*	0.15*	0.13*	0.28*	0.15*	0.12*	0.09*	0.23*	0.16*	0.12*	0.10*	0.22*	0.13*
	Transport lead time	0.09*	0.06*	−0.01	0.08*	0.07*	0.04*	−0.04*	0.09*	0.09*	0.06*	−0.09*	0.07*	0.10*	0.07*	0.03*	0.07*	0.11*	0.08*	0.09*	0.06*

Note(s): Mean coefficient estimates in the 2, 4, 8 and 12 weeks regression models, *Indicates significant (p < 0.05) features in the respective model, (–) indicates a negative effect on inaccuracy

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