The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control
Abstract
:1. Introduction
2. Model Formulation for Green Supply Chain with Perishable Food
2.1. Food Quality Deterioration Model
2.2. Demand Model
2.3. Coefficient of Performance for Refrigeration
2.4. Model for Perishable Food Supply Chain
3. Optimal Solution and Search Algorithm
Algorithm 1. Solution Methodology for Perishable Food Supply Chain |
Step 1: Input values of all parameters. Set the refrigerating temperature T = 243 and the optimal solution π* = p* = T* = 0. Step 2: Calculate the value of p through Equation (19). Take the values of p and T into π. If π > π*, set π* = π, p* = p, T* = T. Step 3: Let T = T + 1, if T ≤ 293, return to step 2; otherwise, the optimal solution π*, p* and T* are found. |
4. Numerical Experiments
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Parameter | Value | Parameter | Value |
---|---|---|---|
a | 60 | q0 | 1 |
h | 0.001 | t0 | 10 |
c | 4 | t1 | 240 |
C0 | 8 | Eh | 0.001 |
As | 50 | Es | 0.3 |
Ce | 1.5 | Ac | 15 |
Ec | 700 |
m | b | p | T | π |
---|---|---|---|---|
0.22 | 4 | 12.308 | 242 | 10,224.99 |
4.5 | 11.389 | 244 | 5835.08 | |
5 | 10.613 | 247 | 2826.70 | |
0.23 | 4 | 12.305 | 244 | 10,320.08 |
4.5 | 11.388 | 245 | 5915.70 | |
5 | 10.620 | 248 | 2890.38 | |
0.24 | 4 | 12.302 | 244 | 10,408.25 |
4.5 | 11.387 | 246 | 5990.68 | |
5 | 10.625 | 248 | 2950.23 |
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Yang, S.; Xiao, Y.; Zheng, Y.; Liu, Y. The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control. Sustainability 2017, 9, 1511. https://doi.org/10.3390/su9091511
Yang S, Xiao Y, Zheng Y, Liu Y. The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control. Sustainability. 2017; 9(9):1511. https://doi.org/10.3390/su9091511
Chicago/Turabian StyleYang, Shuai, Yujie Xiao, Yan Zheng, and Yan Liu. 2017. "The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control" Sustainability 9, no. 9: 1511. https://doi.org/10.3390/su9091511