Abstract
For wheat harvesting considering fragmental farmlands, traditional wheat harvest scheduling based on large-scale arable lands is unfavorable in China. Combine-harvesters, owned by agricultural machinery cooperatives, need new harvesting models for fragmental farmlands. This paper provided an operational model to determine the optimal combine-harvesters’ scheduling for fragmental farmlands. The objective function is to minimize the wheat harvesting period. The minimal difference of harvesting time among combine-harvesters is considered as constraint. A hybrid tabu search approach is proposed to identify the optimal schedule that achieves the objectives of minimizing the harvesting period and minimizing the differences of harvesting time among combine-harvesters. Real data are collected from Huaguang village, Tangji town, Huaiyuan district, Anhui province, China, which is a typical grain producing region. The model results indicate that the wheat harvesting period can be reduced by approximately 10% and that the efficiency and fairness among different harvester owners can be improved if the model and algorithm proposed in this paper are applied.
| Original language | English |
|---|---|
| Pages (from-to) | 226-234 |
| Number of pages | 9 |
| Journal | Computers and Electronics in Agriculture |
| Volume | 145 |
| Early online date | 5 Feb 2018 |
| DOIs | |
| Publication status | Published - Feb 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 Elsevier B.V.
Funding
This research was supported in part by NSFC (National Natural Science Foundation of China) program under Grant 71301077 .
Keywords
- Fragmental farmland
- Harvest schedule
- Harvesting period
- Hybrid algorithm
- Production scheduling