泗洪县车门乡稻麦秸秆收储设施选址

科学的选址可有效节约物流成本,提高收储点的秸秆收储量,增加收储设施的利用效率,促进秸秆设施的可持续利用。该文基于GIS的物流网络设施选址方法,通过秸秆资源调查获得泗洪县车门乡的秸秆资源量及其分布情况,调查其农田道路情况,得出车门乡5个秸秆收储设施点的收储量和分布位置,并通过试验和调查获得秸秆运输车辆类型、油耗成本,分析出各收储设施点运输成本,其中,陈楼点稻麦收储总量5 728 t,总运输成本71 685元;大刘点4 703 t,66 707元;车门点4 328 t,65 264元;岗朱点2 076 t,22 642元;团结点2 590 t,27 594元,总收储量约占全乡秸秆产量的70%。该文为未来该乡完成秸秆物流网络规划提供参考性意见,也为其他地区收储站设施选址提供一个较为完整和可操作性的方法和理论依据。

Crop straw collecting and storage facility location for Chemen township of Sihong county

Abstract: The facility location for straw collecting and storage station is an important part of resource planning. An scientific collecting and storage station location can effectively save the logistics costs, improve the collecting and storage amount of straw, increase the utilization efficiency and promote the sustainable use of straw facilities. In this paper, we used GIS network analysis method torealize the location of Sihong County Chemen Township and then we analyzed storage and transportation cost, and provided the reference for the straw logistics network planning and a complete and operable method for other facility location selection. To achieve the target, firstly we obtained the amounts and the distribution of the township straw resources by survey. Secondly, we investigated the township road conditions and confirmed the straw transportation vehicle type, fuel costs. Thirdly, we modeled the straw logistics network. Based on the optimization method of GIS, the spatial optimization of the target area was carried out under the target space layout and road condition. It did not violate the NIMBY rule premise. By setting total transportation cost to minimum, optimal facility size, and minimum facility numbers, and by optimizing the space analysis, we obtained candidate points and then analyze them in combination with other related factors. As such he artificial decision to develop the final position of the collecting and storage facilities can be reached. The selection of the candidate facilities was based on the combination of uniform setting and manual setting. We chose three different density of grid points (20 × 20 194 points, 24 × 24 288 points, 30 × 30 444 points) as the candidate facilities, minimum facility points were analyzed by three grid points within a radius of 5 km. In order to make full use of the site, and minimize the cost of investment, straw storage facilities should be set to five, and the location was uniform distribution with the most concentrated in the main road intersection, three located in the north river, two located in the south river. These five facilities points were named as Chenlou, Daliu, Chemen, Gangzhu, and Tuanjie. The average transport distance was 2.34 km from facilities to farmlands. All paths of a total distance was 8346.8 km, and total transportation amount and cost were 46987 km?t and RMB 253730 yuan, respectively. The total distance and transport volume were both increased without considering NIMBY ruler. Most of the straw farmlands were in the green area with 3 km distance to storage center. Above the facility location arithmetic was based on crop plots area weighted and application of farmland area as a location index can avoid the uncertainty of the actual crop type. This not only took into account various crop types, but also avoided complexity of the crop type and the different of actual yields. Finally, due to resource constraints and difficult to investigate, this paper also had some limitations and shortcomings. The different types of roads would affect transportation costs, road type was not included in the operation process of facility location, which on the accuracy of the location and the cost of computing may have a certain impact. Actual facility location problem was affected by many factors, which not only needed to consider transportation cost and NIMBY rules; government planning, political, environmental and other factors should also be considered.