dc.description.abstract | The project is to create a number of governance and hydrophilic environment construction projects for the development of hezixi River Basin. The project from hezixi old hotel bridge to Yuemei bridge, and the project of "improvement project of hezixi section 68 to section 72-2d dike", will be constructed from the old hotel bridge to the Aihe bridge as the new slope revetment on the right bank, with a construction length of about 1 km; In the future, a new embankment will be built on the right side of Ci′en bridge to Yuemei bridge. In addition to improving the protection safety of river embankment and protecting people′s property, it is expected to complete the construction of 3397 meters long embankment and 888 meters long water defense road from Yuemei bridge to Laodian Hotel bridge.
At the present stage, most of the traditional scheduling of machines and tools on the construction site is still carried out by the person in charge of the site (boss, full-time engineer, site director, etc.), which is not only without scientific basis, but also time-consuming and laborious; And often due to their own lack of experience and the influence of other factors and have a wrong judgment, resulting in unnecessary construction cost waste. In order to improve the situation, enhance the construction efficiency and reduce the construction cost, this paper takes the CCP - micro grouting water stop pile construction equipment deployment as an example to discuss and prove that the optimal program operation mode planning method of mathematical integer is used, and lingo 17.0 program operation software is used as a tool to change the set constraint mode into a software executable program, The interface function is used to import or export the data from excel 2017. In the case of practical rationality and practicability, it can solve the problem quickly and effectively, and compared with the cost of dispatching by using the rule of manual experience in the past, the result can confirm that the cost calculated by optimization is the lowest, and the construction efficiency is improved. It can decisively deploy and use the existing machines and human resources, avoid the waste of time and cost, and effectively improve the decision-makers′ judgment basis for the on-site deployment of construction machines and tools, so as to increase the strong competitiveness of the sustainable operation of construction enterprises. Therefore, this study is applicable to the deployment of similar construction machinery in all construction projects. | en_US |