The tire production includes rubber mixing, semi-finished production, cutting, forming, and vulcanization. Various semi-finished products are assembled into the tire embryo at the tire building stage. The tire building is the key process in the tire production, which connects the semi-finished production and the vulcanization production. The optimal scheduling of tire building has important significance to increase production efficiency and balance equipment utilization. Nowadays, tire enterprises have developed rapidly. Some research has been made on the research into the tire production scheduling. Literatures [1-2] study the problem which is to find a feasible assignment of tires to molds and molds to heaters to achieve a maximum total priority at Bridgestone/Firestone Off-The-Road. The core algorithm is a column generation procedure to produce a production schedule for one work shift. Literature [3] presents a flexible manufacturing system which combines various departments based on production management system. Literature [4] discusses on how to satisfy the demand of delivery with the smallest cost by using mathematical model building method, and makes detailed and deep analysis on how to arrange the production scheme with the smallest consumption of time. The Literature points out that transforming the problem of obtaining the smallest cost in tire production into the smallest consumption of production time and thus make rational arrangement of production scheme can make the tire production expenditure be the smallest and achieve the goal of reducing production cost. Literature [5] presents a structure of the distributed scheduling system in the hybrid production process of rubber type. The Client/Server model is introduced to implement this structure. Literature [6] describes the hardware structure, software design and communication system architecture of real-time data monitoring system, and proposes the solution. Literature [7] emphatically introduces the design, structure and functions of MES, the flow of the software and the structure of the database for tire building and vulcanization processes, especially the application in practice. The system increased tire production and decreased time out of step effectively, vertically coordinates Abstract: There are more product specifications, great production and much equipment over the whole process of tire building. The actual complex scheduling problem of tire building is described in detail. To solve the complex multi-objective, large-scale production scheduling problem of tire building, a heuristic algorithm is proposed from the experience of the experts. The algorithm was tested by online data. Results show that the heuristic algorithm can quickly workout the optimal production scheduling of tire building, reduce the production cost, and improve productivity. The algorithm will lay the firm groundwork for application to production process in the future.

Without the estimation of the intermediate parameters, the direct position determination (DPD) method can achieve higher localization accuracy than conventional two-step methods. However, multipath environments are still a key problem, and complex high-dimensional matrix operations are required in most DPD methods. In this paper, a time-difference-of-arrival-based (TDOA-based) DPD method is proposed based on the subspace orthogonality in the cross-spectra between the different sensors. Firstly, the cross-spectrum between the segmented received signal and reference signal is calculated and eigenvalue decomposition is performed to obtain the subspaces. Then, the cost functions are constructed by using the orthogonality of subspace. Finally, the location of the radiation source is obtained by searching the superposition of these cost functions in the target area. Compared with other DPD methods, our proposed DPD method leads to better localization accuracy with less complexity. The superiority of this method is verified by both simulated and real measured data when compared to other TDOA and DPD algorithms.

No abstract

Traditional two-step passive localization methods need to extract the parameters like the direction of arrival (DOA), time of arrival (TOA), and time difference of arrival (TDOA) from the original data to determine the source position, which causes the poor positioning accuracy due to error accumulation. In this paper, a direct position determination (DPD) method is proposed to improve the positioning accuracy and robustness, which is based on a correlation algorithm. Firstly, the cost function directly related to the location of the source can be established by synthesizing the data received by multiantenna in the frequency domain. Then, the position of the source is estimated by the correlation DPD method to search the monitoring area. Compared to the improved TDOA algorithm and Least Squares DPD algorithm, the proposed method shows better localization accuracy of different SNRs. Finally, based on real measured data, it can be seen that the results of the proposed algorithm are better than the improved TDOA algorithm.