A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity
Fruit maturity is an essential factor for fresh retailers to make economical distribution scheduling and scientific market strategies. In the context of farm-to-door mode, the fresh retailers could incorporate the postharvest maturity time, picking time and distribution time to deliver high-quality...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-09-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/10/9/1330 |
| _version_ | 1797554595331833856 |
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| author | Zhaotong Zhang Bei Bian Yiping Jiang |
| author_facet | Zhaotong Zhang Bei Bian Yiping Jiang |
| author_sort | Zhaotong Zhang |
| collection | DOAJ |
| description | Fruit maturity is an essential factor for fresh retailers to make economical distribution scheduling and scientific market strategies. In the context of farm-to-door mode, the fresh retailers could incorporate the postharvest maturity time, picking time and distribution time to deliver high-quality fruits to consumers. This study selects climacteric tomato fruits and formulates a postharvest maturity model by capturing the firmness and soluble solid content (SSC) data during maturing. A joint picking and distribution model is proposed to ensure tomatoes could arrive at consumers within expected maturity time windows. To improve the feasibility of proposed model, an improved genetic algorithm (IGA) is designed to obtain solutions. The results demonstrate that the joint model could optimize the distribution routing to improve consumer satisfaction and reduce the order fulfillment costs. The proposed method provides precise guidance for tomato online retailers by taking advantage of postharvest maturity data, which is conducive to sustainable development of fresh e-ecommerce. |
| first_indexed | 2024-03-10T16:34:19Z |
| format | Article |
| id | doaj.art-df92c35026a3461b9bd79d7d69457ddc |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-10T16:34:19Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-df92c35026a3461b9bd79d7d69457ddc2023-11-20T12:39:01ZengMDPI AGAgronomy2073-43952020-09-01109133010.3390/agronomy10091330A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest MaturityZhaotong Zhang0Bei Bian1Yiping Jiang2College of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaCollege of Engineering, Nanjing Agricultural University, Nanjing 210031, ChinaFruit maturity is an essential factor for fresh retailers to make economical distribution scheduling and scientific market strategies. In the context of farm-to-door mode, the fresh retailers could incorporate the postharvest maturity time, picking time and distribution time to deliver high-quality fruits to consumers. This study selects climacteric tomato fruits and formulates a postharvest maturity model by capturing the firmness and soluble solid content (SSC) data during maturing. A joint picking and distribution model is proposed to ensure tomatoes could arrive at consumers within expected maturity time windows. To improve the feasibility of proposed model, an improved genetic algorithm (IGA) is designed to obtain solutions. The results demonstrate that the joint model could optimize the distribution routing to improve consumer satisfaction and reduce the order fulfillment costs. The proposed method provides precise guidance for tomato online retailers by taking advantage of postharvest maturity data, which is conducive to sustainable development of fresh e-ecommerce.https://www.mdpi.com/2073-4395/10/9/1330postharvest maturity datadecision-makingtomato online retailingpickingdistribution |
| spellingShingle | Zhaotong Zhang Bei Bian Yiping Jiang A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity Agronomy postharvest maturity data decision-making tomato online retailing picking distribution |
| title | A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity |
| title_full | A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity |
| title_fullStr | A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity |
| title_full_unstemmed | A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity |
| title_short | A Joint Decision-Making Approach for Tomato Picking and Distribution Considering Postharvest Maturity |
| title_sort | joint decision making approach for tomato picking and distribution considering postharvest maturity |
| topic | postharvest maturity data decision-making tomato online retailing picking distribution |
| url | https://www.mdpi.com/2073-4395/10/9/1330 |
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