Sentence examples for logistics variables from inspiring English sources

However, note that in our study we take a logistics approach since we deal with logistics variables (e.g., nodes, flows) and activities (e.g., procurement, production, distribution).

This research sheds light on the extent of the changes in greenhouse gas (GHG) emissions of the distribution network that result from modifications in the logistics variables.

We also compared sociodemographic variables, the history of current admissions, and survey completion logistics variables based on the time of the response to the mailing.

In the univariate analysis, we studied the relationships among the selected sociodemographic variables, the history of current and previous admissions, and survey completion logistics variables with the six dimensions of the questionnaire.

On the other hand, various sources merely provide us with a number of quantitative forecasts on logistics and transportation variables.

While purely quantitative forecasts of logistics parameters and variables are easily available from a variety of sources, we found that studies using qualitative and strategic approaches in the building of future scenarios are mostly developed for sectors other than logistics and transportation (e.g., manufacturing).

While purely quantitative forecasts of logistics parameters and variables are easily available from a variety of sources, we found that studies using qualitative and strategic approaches building future scenarios are mostly developed for sectors other than logistics and transportation (e.g., manufacturing) [41].

To control the effect of confounding variables, stepwise logistics regression was done.

The RCTs including adult patients have been smaller, with only 17too 100 patients, aiming to test the feasibility of study logistics, or with surrogate variables as study endpoints [ 8- 18] 18].

*p < 0.05; **p < 0.01; ***p < 0.001; ORU: univariate odds ratio obtained using logistic regression; ORm: odds ratio obtained from stepwise multivariate logistics regression analysis using univariately significant variables as candidate variables; NS: not statistically significant in multivariate analysis.

*p < 0.05; **p < 0.01; ***p < 0.001; ORU: univariate odds ratio obtained from logistic regression models; ORm: odds ratios obtained from stepwise multivariate logistics regression analysis, using univariately significant variables as candidate variables; NS: not statistically significant in multivariate analysis.