In this paper, the optimal assembly sequence is considered as precedence graph which reduces the complexity of the problem, and an exact algorithm named task-oriented enumeration is proposed to solve the single-model stochastic assembly line balancing problems of type-1. The results show the proposed algorithm can solve the single-model stochastic assembly line balancing problems of type-1.
The differences in constraints between an automotive painting workshop and a final assembly workshop can lead to production scheduling disruptions, and using the Painted Body Store (PBS) in automotive manufacturing can optimize production scheduling to meet the production requirements of the final assembly workshop. This is achieved by establishing a multi-objective mixed-integer optimization scheduling model for PBS and solving the model using a state transition algorithm based on the greedy strategy; finally, a comparison was made with the classical genetic algorithm. The results show that the optimal objective function is achieved when the body sequence movement iterations for data sets N and R are 34 and 54, respectively. At this point, the highest objective function scores are 23.46 and 49.79, and vehicles entering the PBS scheduling system from the painting-to-assembly line require 31 and 38 sequence adjustments, respectively. Compared with the classical genetic algorithm, the simulation results show that the state transition algorithm based on the greedy strategy is significantly better; it can also perform well in discrete sequence movement operations, demonstrating strong global search capabilities and fast convergence. It provides a new approach for optimizing vehicle scheduling in the automotive painting-to-assembly line.
Oily wastewater from oil field by microwave induced and catalytic demulsification was studied in this paper. The advantages and prospects of the microwave technology was analyzed. Microwave treatment of oilfield wastewater has advantages such as equipment occupies a small space, easy to operate, portable, easy to transport, easy to installation and commissioning, short reaction time, high efficiency, discharge water which has good quality, temperature and other factors do not affect the treatment oilfield wastewater effect and so on. Microwave also has a bactericidal effect which was applicable to treat oilfield wastewater in both South and North of China. When the processing time is 2.5 min at temperature 57°C, microwave demulsification has the best effect. Based on the research of microwave demulsifucation mechanism, a conclusion is reached that microwave heating effect and microwave catalytic eddect play a leading role on the demulsification.
According to the method of signed graph modeling, the paper ascertains parameters of equipment supporting system supported by space information, draws the signed graph of equipment supporting supported by space information, and establishes the system model of equipment supporting supported by space information. The paper defines several conceptions which reflect space information system’s influences on equipment supporting efficiency, uses MATLAB software to making a simulation on numerical value, and gets the extent of space information system’s influences on equipment supporting efficiency, which provide the theory guide and reference for equipment supporting in information warfare.
Scientific maintenance tasks scheduling can improve maintenance effectiveness greatly. Aiming for the shortage of the research on the equipment maintenance tasks scheduling optimization (EMTSO) problem, this paper proposes a new method based on GA. The detail is as follows: Make the optimization model of the EMTSO problem by analyzing the characteristics of maintenance tasks scheduling systemically. Aiming for the NP hard characteristic of the problem, design the genetic algorithm to solve it. Finally, use the instance to validate the method. The result reflects that the method proposed by this paper can solve the equipment maintenance tasks scheduling optimization problem, and it has good applicable value in the military domain.
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