| dc.description.abstract | In current, the size, type and nature for the agriculture in Taiwan have become more and more complicated and specialized. However, traditional agriculture cultivation method and management have been unable to cope with such changes in modern agriculture. Therefore, new construction equipment and methods have gradually replaced old ones. In addition, to efficiently address the complicated management issues derived from the agriculture development, a proper mathematical model needs to be constructed based on the scientific and logistic point of view. Through this model, the managers in the field of agriculture can efficiently allocate the sources, such as manpower, farm implements, materials and funds, to do their best. That is, they can employ a minimum of resources to yield the maximum benefit. In the past, agriculture vehicle dispatching and personnel harvesting scheduling are made mainly based on the personal experience which neglects the systematic and scientific considerations. This makes the formulated results both inefficient and ineffective. In other words, the period of output of agriculture can not be clearly recognized and the extra costs incurred from production of agriculture will be increased. In general, fruit harvest works have the characteristic of unique and repeatability. There are no literatures regarding the agriculture vehicle and personnel scheduling model in the past.
Therefore, in this study, we utilize the linear-integer formulation technique to develop an optimal model, subject to the fruit demand for various agricultures, the efficiency and cost of construction for combining agriculture vehicle and personnel as well as the duration of construction. The objective of the model is to minimize the cost for assigning agriculture vehicle and personnel to satisfy the demand for transportation of agricultural products. We use mathematics programming solver software LINGO to write the computer program and to solve the model. The test results indicate that the model can help the managers in the field of agriculture efficiently and effectively formulate the agriculture vehicle dispatching and personnel harvesting scheduling problem. | en_US |