Two-Stage Robust Optimization Model for Fresh Cold Chain considering Carbon Emissions and Uncertainty

Table 6

Detailed explanation of data processing steps.

Step	Specific description
Step 1	Original data collection: with the help of big data service platform, mining the sample set of demand through text;
Step 2	Data cleaning: eliminate incomplete data; set filtering range to eliminate data group with abnormal value;
Step 3	Data processing: fitting regression analysis of sample set data;
Step 4	Demand estimation: with the help of the parameter index of the sample data set, the overall demand parameters are estimated;
Step 5	Input the initial value, input the constraint variables, and set the parameters to obey the probability distribution;
Step 6	Input parameter variable constraints, storage capacity constraints and time window constraints, etc.;
Step 7	The solution environment is set and solved by the solver |Gurobi;
Step 8	If step 2 is satisfied, terminate; if not, reexecute step 1;
Step 9	If the model converges or iterates to a certain number of times, the optimal solution is output.