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CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
Citation:
Shu Li-xin, Chen Sheng-xin, Li Jie-wei, Sun Qing-wen. Inventory control strategy of combat reserve of medical supplies based on optimized EOQ model[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(3): 187-190,219. doi: 10.3969/j.issn.1006-0111.2013.03.007
Inventory control strategy of combat reserve of medical supplies based on optimized EOQ model
Second Military Medical University, shanghai 200433, China
Received Date: 2013-04-02
Rev Recd Date:
2013-05-02
Abstract
Objective To set up optimized EOQ models for inventory control of combat reserve of medical supplies. Methods Based on the analysis of combat reserve of medical supplies production data and demand probability distribution, classic EOQ model was optimized through adding the constraints and adjust assumptions. Matlab software was used to obtain optimal solution; Monte Carlo simulation was used to insensitivity analysis. Results Three optimize EOQ models were built and the optimal solution for inventory control strategy were concluded through empirical research, which showed tha warehouse management level and production capacity for mobilization were the important factor to affect the inventory control decisions. Conclusion The reserve model constructed in this study could meet the basic needs of inventory control of combat reserve of medical supplies.
Mohtadi H, Murshid A. A Global chronology of incidents of chemical, biological, radioactive and nuclear attacks:1950-2005[EB/OL]. http://www.ncfpd.umn.edu/Ncfpd/assets/File/pdf/GlobalChron.pdf.[2006-07-07],[2011-01-10].
Abstract: Objective To set up optimized EOQ models for inventory control of combat reserve of medical supplies. Methods Based on the analysis of combat reserve of medical supplies production data and demand probability distribution, classic EOQ model was optimized through adding the constraints and adjust assumptions. Matlab software was used to obtain optimal solution; Monte Carlo simulation was used to insensitivity analysis. Results Three optimize EOQ models were built and the optimal solution for inventory control strategy were concluded through empirical research, which showed tha warehouse management level and production capacity for mobilization were the important factor to affect the inventory control decisions. Conclusion The reserve model constructed in this study could meet the basic needs of inventory control of combat reserve of medical supplies.
CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
Citation:
Shu Li-xin, Chen Sheng-xin, Li Jie-wei, Sun Qing-wen. Inventory control strategy of combat reserve of medical supplies based on optimized EOQ model[J]. Journal of Pharmaceutical Practice and Service, 2013, 31(3): 187-190,219. doi: 10.3969/j.issn.1006-0111.2013.03.007
Mohtadi H, Murshid A. A Global chronology of incidents of chemical, biological, radioactive and nuclear attacks:1950-2005[EB/OL]. http://www.ncfpd.umn.edu/Ncfpd/assets/File/pdf/GlobalChron.pdf.[2006-07-07],[2011-01-10].
CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
CHEN Jintao, QIAO Ziying, MA Minghua, ZHANG Ruoxi, WANG Zhenwei, NIAN Hua. Study on the potential mechanism of JQQSG for the treatment of CAP based on network pharmacology and molecular docking technology[J]. Journal of Pharmaceutical Practice and Service, 2024, 42(11): 471-478. doi: 10.12206/j.issn.2097-2024.202312014
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