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Abstract.

The cross-district transfer operation service of agricultural machinery in China is widespread. Harvest services in the main wheat production areas (14 counties) were studied on the basis of ensuring timely harvest, a mixed integer linear programming model was constructed. Taking the transport cost of agricultural machinery cooperatives minimization as the objective function, the decision variables such as the optimal allocation of agricultural machinery quantity and the optimal transfer route were studied to finish harvesting in limited time window. The cross-district operation scheduling of agricultural machinery (CDOSAM) model were solved by considering two scenarios of closed path and open path. The results showed that there are both three harvester groups in the closed and the open cross-district operation. The loading rate is 92.2% ~ 98.4% and 93.1% ~ 97.4% for the two scenarios, respectively. In the closed path, there exists a difference in working status among groups. Groups 1and 2 experienced almost twice transport distance and cost of group 3. Group 3 has the largest harvesting area and the lowest transport cost because it is assigned to work near the depot. In the open scenario, lower transport distance and cost are achieved due to no return distance, and all harvesters have run to the boundary of the operating regions at the end of the specified time window. This paper provides a general framework for cross-district operation service of agricultural machinery. Given the diversity of cross-district operations, uncertainties of working conditions need to be taken into account in the future.