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With increasingly globalized trade, efficiently, safely, and low-carbon distributing products is a critical challenge in the perishable supply chain network design(PSCND). A mixed-integer linear programming(MILP) model was developed considering perishability uncertainty, limited capacity of facility location, flow allocation and transport mood, aiming to minimize cost, carbon emissions and transportation time, as a case study, optimizing fresh-cut flower processing and pre-cooling centers in Kunming, Yunnan Province, China. The Weibull function was introduced to model the loss of perishable products during transportation. Given the intricate nature of the problem, a hybrid algorithm that integrated the minimum element method with the genetic algorithm was devised. The applicability and validity of our proposed model and algorithm was substantiated through rigorous numerical analysis. It draws out the impact of perishability on establishing processing and pre-cooling centers and modes of transport. Enterprises should decide on the mode of transport and adjust the number and capacity of processing and pre-cooling centers according to the perishability of products.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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