Factors Affecting the Punctuality of Logistics Services Using Binary Logistic Regression
نویسندگان
چکیده
The Indian logistics industry is in a period of rapid development. purpose this study to analyze the factors affecting punctuality trucks for distribution services India based on data analysis. comes from 6880 pieces VTS platform. A binary regression model was established analysis, and tested ensure statistical significance. Binary logistic used examine truck types, geographic locations, commodity order suppliers significant differences between on-time late. concluded that shorter distance, signing perfect contract, selection specific type vehicle, better development level easier be time. This provides suggestions improving management strategies, which can as reference companies.
منابع مشابه
The Logic and Logistics of Logistic Regression
Although logistic regression models are widely used in multivariable analyses with dichotomous outcomes, many of their features, which can be very helpful tools in better understanding the data, are often underutilized. In addition to the widely used and reported odds ratios and p-values, PROC LOGISTIC generates a plethora of statistics from which one can gain further insight, make stronger ana...
متن کاملApplication of Logistic Regression in Determining Factors Affecting Hypertension: Findings of the Tabari Cohort Study
Background and purpose: Hypertension is a global problem due to its consequences. Recognizing warning signs and taking necessary measures are effective in preventing the disease and its complications. We used the logistic regression model to determine the factors affecting blood pressure based on the results of the Tabari Cohort Study. Materials and methods: This cross-sectional descriptive-a...
متن کاملSome Issues in Using PROC LOGISTIC for Binary Logistic Regression
1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...
متن کاملPrediction of Antibiotics Residues in Raw Milk by Using Binary Logistic Regression Model
medical compounds, especially antibiotics, in which remains in milk and dairy products on the one hand causes health problems such as allergic reactions and Development of bacterial resistance to antibiotics are a serious threat to the health of consumers , and on the other hand, industrial troubles such as failure to produce fermented products can cause the milk back to the rancher. The purpos...
متن کاملExploring the factors affecting motorway accident severity in England using the generalised ordered logistic regression model.
PROBLEM The severity of motorway accidents that occurred on the hard shoulder (HS) is higher than for the main carriageway (MC). This paper compares and contrasts the most important factors affecting the severity of HS and MC accidents on motorways in England. METHOD Using police reported accident data, the accidents that occurred on motorways in England are grouped into two categories (i.e.,...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BCP business & management
سال: 2022
ISSN: ['2692-6156']
DOI: https://doi.org/10.54691/bcpbm.v34i.3085