| Amifostine is the first broad-spectrum cytoprotective agent that is widely recognized in the world. It can effectively protect normal tissues rather than tumor cells from damage caused by radiotherapy and chemotherapy, and its currently clinical use is increasingly widespread. However, at the present stage, the automation level of most Amifostine production technology in China is still relatively laggard. In order to meet the rapid production requirements, take both the cost and production efficiency into account, and protect the environment at the same time, it is very important to simulate the entire Amifostine production process using the computer and optimize the production process based on the actual situation, which is of practical and theoretical significance to guide the actual production process.Experimental study shows that Amifostine production process meets the characteristics of batch chemical processes. In this paper, Aspen Batch Plus is adopted as the tool software to establish reasonable simulation model of batch chemical processes, with the main process parameters obtained from some plants based on its actual situation of Amifostine production process. In order to verify the correctness of the model, the simulation results ofes the production process based on the established model is compared with the actual production data, and the error is only2.01%, which indicates that the computed results of the model are consistent with the actual production data from plants, and proves that the simulation model is reasonable and reliable and it can be used to design and optimize the production process.Amifostine production process accords with the characteristic of the batch chemical proc esses. The production scheduling problem in batch chemical processes is a very important par t of the production arrangements.The production scheduling solution will be optimized designed through using the established model, in which the time limited level will be researched, and the production time schedule can be set up, and then simulate gradually to develop the production time schedule again, which can be used to improve equipment utilization and production efficiency.For Amifostine production process, the final products are raw medicine and Lyophilized preparation. Through analyzing the simulation, we can find that the time limited level of Amifostine production process appears in the process of vacuum freeze drying. In this paper, the cycle time limit is effectively reduced by adding the parallel devices. In addition, the idle time of the non-bottleneck process is also cut down by using the intermediate storage technology for raw medicine. In this paper, the two final products’production processes are optimized respectively, and the analysis results show that all of these five optimized processes can decrease the average production time and improve the effective utilization rate of equipment for each batch feeding. But there are still weaknesses for each method, so it should be chosen accordingly based on the total amount of final product and the batches of scheduled production. In the end of this paper, an optimized model for the production scheduling problem which accords with the characteristic of batch chemical processes is designed and used to optimize the production scheduling timetable of Amifostine production process. The result shows that using this optimized production scheduling timetable to perform production scheduling for the production processes whose final products are APIs can cut down the duration of production by64.7%; at the same time, improve the time utilization rate of each process by about71.9%,66.8%,61.6%, and69.7%respectively compared to that before optimization. Whereas for the production process whose final product is lyophilized preparation, it can cut down the duration of Amifostine production by62.6%; at the same time, improve the time utilization rate of each process by80.3%,74..6%,68.7%,78.7%and67.3%respectively compared to that before optimization. |
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