Optimization of Cold Chain Path of Cooling Storage Multi - Temperature Fresh Produce under the Uncertain Demand and Time Window
- 10.2991/icmess-18.2018.311How to use a DOI?
- Uncertainty of demand and time window; Cooling storage multi-temperature allocation; Penalty cost of time window; Fresh agricultural produce
In view of issues about the demand of various types of fresh agricultural products, the uncertainty of distribution time window and the difference of temperature layer in the existing cooling storage multi-temperature distribution process, cold chain path optimization model of multi - temperature fresh agricultural products with the demand and delivery time window of various kinds of fresh agricultural products subject to the known distribution is established. In the cold chain distribution, various costs incurred in the distribution are fully considered according to the characteristics of the cold chain, including transportation costs, carbon tax costs, incubator costs and time window penalty costs. Finally, a calculating example is used to verify the validity of the model. The results show that this model has good flexibility and applicability in the research of outlet demand and uncertainty of time window. Therefore, this model is worthy of promotion and reference.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kang Chen PY - 2018/06 DA - 2018/06 TI - Optimization of Cold Chain Path of Cooling Storage Multi - Temperature Fresh Produce under the Uncertain Demand and Time Window BT - Proceedings of the 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018) PB - Atlantis Press SP - 1412 EP - 1416 SN - 2352-5398 UR - https://doi.org/10.2991/icmess-18.2018.311 DO - 10.2991/icmess-18.2018.311 ID - Chen2018/06 ER -