Research Article
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. |
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