CN114331043A - Dynamic planning and allocating system and method for centralized medicine storage platform - Google Patents
Dynamic planning and allocating system and method for centralized medicine storage platform Download PDFInfo
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Abstract
The invention provides a dynamic planning and allocating system and a dynamic planning and allocating method for a centralized medicine storage platform, which comprise the following steps: the dynamic planning and allocating system comprises: a sales prediction module comprising: the first prediction unit is used for acquiring a historical medicine purchase order in a first time period according to a preset sampling period and predicting the sales volume of each medicine in unit time; the second prediction unit predicts at least one selling quantity combination in a second time period in the future according to the sales volume of the unit time, wherein the selling quantity combination comprises suppliers corresponding to the medicines and the medicine supply quantity of the suppliers in the second time period; and the dynamic allocation module is connected with the sales volume prediction module and used for receiving the current medicine purchase orders submitted by downstream users and dynamically allocating each medicine in the current medicine purchase orders according to the sales volume combination. The beneficial effects are that reduce the storage cost of medicine and improve profit value.
Description
Technical Field
The invention relates to the technical field of medicine allocation, in particular to a dynamic planning and allocation system and a dynamic planning and allocation method of a centralized medicine storage platform.
Background
The drug supply chain is a network chain structure from a supply source to a demand source, a consumer generates real-time orders in a retail store, each real-time order is sent to an on-line distribution platform, the on-line distribution platform calls various drugs pre-stored in the storage center according to the real-time orders, and various drugs of a plurality of wholesale enterprises are stored in the storage center.
At present, in the process of allocating medicines, an on-line distribution platform allocates medicines with low supply price preferentially according to the supply price and the retail price of the medicines, and due to the limited storage capacity of a warehouse, the medicines stored for more than 30 days generate high storage cost; and the storage cost is simply considered, the medicines with long storage time are allocated in priority, and the corresponding income value is lost due to higher goods supply price of the medicines which are arranged to be discharged. How to find a balance between the profit value and the warehousing cost of the medicine so that the online distribution platform can maximize the profit value has become an urgent problem to be solved in the medicine supply chain today.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a dynamic planning and allocating system of a centralized medicine storage platform, which is used for dynamically allocating medicines to the current medicine purchase orders of at least one downstream user, and comprises:
a sales prediction module comprising:
the system comprises a first prediction unit, a second prediction unit and a third prediction unit, wherein the first prediction unit is used for acquiring historical medicine purchase orders of a first time period according to a preset sampling period and predicting a unit time sales volume of each medicine contained in each historical medicine purchase order according to each historical medicine purchase order;
the second prediction unit is connected with the first prediction unit and used for predicting at least one selling quantity combination of a second time period in the future according to the sales volume of the unit time, and the selling quantity combination comprises suppliers corresponding to the medicines and medicine supply quantities of the suppliers in the second time period;
and the dynamic allocation module is connected with the sales prediction module and is used for receiving the current medicine purchase order submitted by the downstream user and dynamically allocating each medicine in the current medicine purchase order according to the selling quantity combination.
Preferably, the first prediction unit includes:
the pre-acquisition subunit is used for acquiring the historical medicine purchase order of the first time period according to the sampling period;
the statistics subunit is connected with the pre-acquisition subunit and is used for counting the historical sales volume of each medicine in all the historical medicine purchase orders aiming at each medicine;
and the analysis subunit is connected with the statistics subunit and is used for respectively calculating the sales volume of each medicine in unit time according to the historical sales volume of each medicine and the first time period and outputting the sales volume as the sales volume in unit time.
Preferably, the second prediction unit includes:
a combination subunit, configured to, for each type of medicine, exhaust the supply quantity of the medicine of each supplier in the second time period according to the sales quantity per unit time and the inventory quantity of each supplier to obtain all sales quantity combinations;
the calculating subunit is connected with the combination subunit and is used for calculating a total profit value corresponding to each selling quantity combination according to a storage cost and a selling profit of each medicine contained in the selling quantity combination aiming at each selling quantity combination;
and the screening subunit is connected with the calculating subunit and used for analyzing and obtaining a maximum total benefit value according to all the total benefit values and outputting the selling quantity combination corresponding to the maximum total benefit value.
Preferably, in the calculating subunit, the calculation formula of the total benefit value is as follows:
wherein the content of the first and second substances,
wherein, for each of said drugs, MjThe value of the profit of the selling quantity combination on the j day is represented by H, and the total value of the profit of the selling quantity combination is represented by H;
Qifor the retail price, P, corresponding to said supplier iiA supply price corresponding to the supplier i, CijThe number of supplies of said drug on day j for said supplier i, Fij(ii) said warehousing cost for said drug at day j;
Sifor the inventory quantity of the supplier i, R is a scale factor, TiIs the time of inventory of the drug.
Preferably, the dynamic deployment module includes:
the acquisition unit is used for receiving the current medicine purchase order submitted by the downstream user;
and the analysis unit is connected with the acquisition unit and used for respectively matching each medicine contained in the current medicine purchase order to obtain the corresponding selling quantity combination and dynamically allocating the medicines supplied by each supplier in the selling quantity combination according to the matching result and the current medicine purchase order.
Preferably, the second time period includes at least one time node, the selling quantity combination includes one time node and the medicine supply quantity of each supplier at each time node, and the analyzing unit includes:
the matching subunit is used for obtaining the corresponding selling quantity combination according to the matching of each medicine in the current medicine purchase order;
the ordering subunit is connected with the matching subunit, and orders the suppliers in the selling quantity combinations according to the sequence of the time nodes for each selling quantity combination to obtain a supplier sequence;
and the preparing subunit is connected with the sequencing subunit and is used for preparing the medicines supplied by the prior suppliers according to the sequence of the supplier sequence aiming at each medicine.
Preferably, a dynamic planning and allocating method of a centralized drug storage platform is applied to any one of the dynamic planning and allocating systems, and the dynamic planning and allocating method includes:
step S1, acquiring historical drug purchase orders in a first time period according to a preset sampling period, and predicting a unit time sales amount of each drug included in each historical drug purchase order according to each historical drug purchase order;
step S2, obtaining at least one selling quantity combination of a second time period in the future according to the sales amount per unit time, wherein the selling quantity combination comprises suppliers corresponding to the medicines and medicine supply quantities of the suppliers in the second time period;
step S3, receiving the current drug purchase order submitted by the downstream user, and dynamically allocating each drug in the current drug purchase order according to the sales volume combination.
Preferably, the step S1 includes:
step S11, acquiring the historical medicine purchase order of the first time period according to the sampling period;
step S12, for each medicine, counting the historical sales volume of each medicine in all the historical medicine purchase orders;
and step S13, calculating the sales volume of each medicine in a unit time according to the historical sales volume of each medicine and the first time period, and outputting the sales volume as the sales volume in the unit time.
Preferably, the step S2 includes:
step S21, for each of the medicines, exhausting the supply quantities of the medicines of each of the suppliers in the second time period according to the sales quantity per unit time and the inventory quantity of each of the suppliers to obtain all the combinations of the sales quantities;
step S22, for each selling quantity combination, calculating a total benefit value corresponding to each selling quantity combination according to a warehousing cost and a selling profit of each medicine contained in the selling quantity combination;
and step S23, analyzing to obtain a maximum total benefit value according to all the total benefit values, and outputting the selling quantity combination corresponding to the maximum total benefit value.
Preferably, the step S3 includes:
step S31, receiving the current drug purchase order submitted by the downstream user;
step S32, obtaining the corresponding selling quantity combination according to the matching of each kind of the medicines included in the current medicine purchase order, and dynamically allocating the medicines supplied by each supplier in the selling quantity combination according to the matching result and the current medicine purchase order.
The technical scheme has the following advantages or beneficial effects:
(1) the sales volume of each medicine in the second time period is obtained by adopting an exhaustion method, the total benefit value of each sales volume combination is counted and compared with each other to obtain the sales volume combination with the maximum total benefit value, the medicine supply volume corresponding to each supplier of each medicine is arranged according to the sales volume combination with the maximum benefit value to be allocated, and the effects of reducing the storage cost and improving the profit value are achieved.
(2) When the dynamic allocation is carried out aiming at the current medicine purchase order, the supplier sequence corresponding to the selling quantity combination of each kind of medicine is used for allocating the medicine supplied by the prior supplier in the supplier sequence so as to meet the delivery requirement of the current day, reduce the storage cost of the medicine and improve the circulation efficiency of each medicine.
Drawings
FIG. 1 is a schematic control diagram of a dynamic programming deployment system according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart of a dynamic programming deployment method according to a preferred embodiment of the present invention;
FIG. 3 is a flowchart illustrating step 1 in accordance with a preferred embodiment of the present invention;
FIG. 4 is a flowchart illustrating step 2 in accordance with a preferred embodiment of the present invention;
FIG. 5 is a flowchart illustrating step 3 in accordance with a preferred embodiment of the present invention.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In a preferred embodiment of the present invention, based on the above problems in the prior art, there is provided a dynamic planning and allocating system of a centralized storage platform for medicines, as shown in fig. 1, for dynamically allocating medicines to current medicine purchase orders of at least one downstream user, the dynamic planning and allocating system including:
the sales prediction module 1, the sales prediction module 1 comprising:
the first prediction unit 11 is configured to obtain historical drug purchase orders in a first time period according to a preset sampling period, and predict a unit time sales amount of each drug included in each historical drug purchase order according to each historical drug purchase order;
the second prediction unit 12 is connected with the first prediction unit 11 and used for predicting at least one selling quantity combination in a second time period in the future according to the sales volume in unit time, wherein the selling quantity combination comprises suppliers corresponding to the medicines and the medicine supply quantity of the suppliers in the second time period;
and the dynamic allocation module 2 is connected with the sales prediction module 1 and is used for receiving the current medicine purchase orders submitted by downstream users and dynamically allocating each medicine in the current medicine purchase orders according to the sales number combination.
Specifically, in this embodiment, the sales per unit time of each drug is predicted before dynamic dispensing. And on the basis of the sales volume per unit time, obtaining a selling quantity combination corresponding to each medicine through prediction, obtaining a current medicine purchase order of a downstream user, regarding each medicine in the current medicine purchase order, taking the predicted selling quantity combination as a basis for dynamic allocation, and sending the medicine supplied by a supplier in the selling quantity combination to the downstream user.
In a preferred embodiment of the present invention, the first prediction unit 11 comprises:
the pre-acquisition subunit 111 is configured to acquire a historical medicine purchase order in a first time period according to a sampling period;
the statistics subunit 112 is connected to the pre-acquisition subunit 111, and is configured to, for each drug, perform statistics on historical sales of each drug in all historical drug purchase orders;
and the analysis subunit 113 is connected with the statistics subunit 112, and is used for calculating the sales volume of each medicine in one unit time according to the historical sales volume of each medicine and the first time period, and outputting the sales volume as the sales volume in the unit time.
Specifically, in this embodiment, for each medicine, the predicted daily sales volume of the medicine in the second time period, that is, the sales volume per unit time:
firstly, collecting all historical medicine purchase orders in a first time period;
then, counting the supply quantity of each medicine in all historical medicine purchase orders;
and finally, calculating the daily sales of each medicine in the first time period according to the first time period and the supply quantity for each medicine, and outputting the daily sales as the sales per unit time.
In a preferred embodiment of the present invention, the second prediction unit 12 comprises:
a combination subunit 121, configured to, for each medicine, exhaust the supply quantity of the medicines of each supplier in the second time period according to the sales quantity per unit time and the inventory quantity of each supplier to obtain all sales quantity combinations;
a calculating subunit 122, connected to the combining subunit 121, configured to calculate, for each of the selling quantity combinations, a total benefit value corresponding to each of the selling quantity combinations according to a storage cost and a selling profit of each of the medicines included in the selling quantity combination;
and the screening subunit 123, connected to the calculating subunit 122, is configured to obtain a maximum total benefit value according to all the total benefit value analyses, and output a selling quantity combination corresponding to the maximum total benefit value.
Specifically, in this embodiment, for each medicine, the supply quantities of the medicines of the suppliers in the second time period are exhausted, and at least one selling quantity combination is obtained.
In another embodiment, the second time period is set to five days, and the combination of offered quantities includes the number of suppliers supplying the drugs and the daily drug supply quantities for each supplier from the first day to the fifth day.
The warehousing cost of the medicines is related to the warehousing time of the medicines, the selling profit of the medicines is related to the cost price and the retail price of the medicines, and in each selling quantity combination with the same supplier, if the same supplier performs allocation at different time nodes in the second time period, the corresponding total benefit values are different.
Aiming at the medicines with various selling quantity combinations, the selling quantity combinations with the maximum total benefit value are obtained by screening according to the total benefit values of the selling quantity combinations so as to obtain the maximum benefit.
In the preferred embodiment of the present invention, the calculation formula of the total profit value in the calculation subunit 122 is as follows:
wherein the content of the first and second substances,
wherein, for each of said drugs, MjThe value of the profit of the selling quantity combination on the j day is represented by H, and the total value of the profit of the selling quantity combination is represented by H;
Qifor the retail price, P, corresponding to said supplier iiA supply price corresponding to the supplier i, CijThe number of supplies of said drug on day j for said supplier i, Fij(ii) said warehousing cost for said drug at day j;
Sifor the inventory quantity of the supplier i, R is a scale factor, TiIs the time of inventory of the drug.
Specifically, in this embodiment, the proportionality coefficient is the ratio of the daily warehousing cost of the drug to the supply price after the inventory time of the drug is greater than 30 days.
When the storage time of the medicines is not more than 30 days, the storage cost is regarded as 0;
when the storage time of the medicine is more than 30 days, the storage cost is
The method screens each selling quantity combination by evaluating the storage cost and the selling profit of the medicine to dynamically allocate the medicine supplied by each supplier, reduces the storage cost of the medicine and enables an online distribution platform to obtain maximized benefits.
In a preferred embodiment of the present invention, the dynamic allocation module 2 includes:
the acquisition unit 21 is used for receiving a current medicine purchase order submitted by a downstream user;
and the analysis unit 22 is connected to the acquisition unit 21, and is configured to respectively match each of the medicines included in the current medicine purchase order to obtain a corresponding selling quantity combination, and dynamically allocate the medicines supplied by each supplier in the selling quantity combination according to the matching result and the current medicine purchase order.
Specifically, in the present embodiment, when the number of medicines included in each current medicine purchase order is larger than the predicted sales amount per unit time of the medicines, the medicine supplied by the supplier having the lowest supply price is directly called and shipment is scheduled.
In a preferred embodiment of the present invention, the second time period includes at least one time node, the selling amount combination includes a time node and the amount of the drug supplied by each supplier at each time node, and the analyzing unit 22 includes:
the matching subunit 221, configured to obtain a corresponding selling quantity combination according to matching of each medicine in the current medicine purchase order;
the ordering subunit 222 is connected with the matching subunit 221, and orders suppliers in the selling quantity combinations according to the sequence of the time nodes for each selling quantity combination to obtain a supplier sequence;
the preparing subunit 223 is connected to the ordering subunit 222, and prepares, for each medicine, the medicines supplied by the previous suppliers according to the order of the supplier sequence.
Specifically, in the embodiment, during dynamic allocation, the medicines supplied by the prior suppliers are allocated and arranged according to the sequence of the supplier sequence, so that the circulation period of each medicine is shortened, the benefit balance between the selling profit and the storage cost is balanced, and the effect of improving the economic benefit is further achieved.
In a preferred embodiment of the present invention, a dynamic planning and deploying method is applied to the dynamic planning and deploying system described above, and as shown in fig. 2, the dynamic planning and deploying method includes:
step S1, acquiring historical medicine purchase orders of a first time period according to a preset sampling period, and predicting the sales volume of each medicine in each historical medicine purchase order in unit time according to each historical medicine purchase order;
step S2, at least one selling quantity combination of a second time period in the future is obtained according to the sales amount of the unit time, and the selling quantity combination comprises suppliers corresponding to the medicines and the medicine supply quantity of the suppliers in the second time period;
and step S3, receiving the current drug purchase order submitted by the downstream user, and dynamically allocating each drug in the current drug purchase order according to the selling quantity combination.
In a preferred embodiment of the present invention, as shown in fig. 3, step S1 includes:
step S11, acquiring a historical medicine purchase order of a first time period according to a sampling period;
step S12, for each medicine, counting the historical sales volume of each medicine in all historical medicine purchase orders;
in step S13, the sales of each medicine per unit time is calculated from the historical sales of each medicine and the first time period and output as the sales per unit time.
In a preferred embodiment of the present invention, as shown in fig. 4, step S2 includes:
step S21, exhausting the supply quantity of the medicines of each supplier in the second time period according to the sales quantity in unit time and the inventory quantity of each supplier to obtain all sales quantity combinations for each medicine;
step S22, calculating a total benefit value corresponding to each selling quantity combination according to a storage cost and a selling profit of each medicine contained in each selling quantity combination aiming at each selling quantity combination;
and step S23, analyzing to obtain a maximum total benefit value according to all the total benefit values, and outputting a selling quantity combination corresponding to the maximum total benefit value.
In a preferred embodiment of the present invention, as shown in fig. 5, step S3 includes:
step S31, receiving a current drug purchase order submitted by a downstream user;
step S32, matching each of the drugs contained in the current drug purchase order to obtain a corresponding selling quantity combination, and dynamically allocating the drugs supplied by each supplier in the selling quantity combination according to the matching result and the current drug purchase order.
Specifically, in this embodiment, the selling quantity combinations of the medicines supplied by the suppliers of each kind of medicine are listed in an exhaustive manner, and the total benefit value of all the selling quantity combinations is screened, so as to obtain the selling quantity combination with the maximum total benefit value, thereby improving the reliability of dynamic allocation.
In conclusion, the medicines with long storage time are preferentially arranged to be delivered out of the warehouse, so that the effects of reducing the storage cost and improving the circulation efficiency of the medicines are achieved. The method comprises the steps of firstly predicting according to historical medicine purchase orders to obtain sales volume in unit time, then counting and comparing the total benefit values corresponding to various sales volume combinations, outputting the sales volume combination with the maximum total benefit value as shipment arrangement, and playing a role in reducing storage cost and improving profit value.
In addition, when the online distribution platform dynamically allocates the current drug purchase order, the corresponding supplier sequence is combined by the selling quantity of each drug, and the prior drugs supplied by the suppliers are allocated in the supplier sequence, so that the shipment requirement on the day is met, the storage cost of the drugs is reduced, and the circulation efficiency of each drug is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. A dynamic programming allocation system of a centralized drug storage platform, for dynamically allocating drugs to current drug purchase orders of at least one downstream user, the dynamic programming allocation system comprising:
a sales prediction module comprising:
the system comprises a first prediction unit, a second prediction unit and a third prediction unit, wherein the first prediction unit is used for acquiring historical medicine purchase orders of a first time period according to a preset sampling period and predicting a unit time sales volume of each medicine contained in each historical medicine purchase order according to each historical medicine purchase order;
the second prediction unit is connected with the first prediction unit and used for predicting at least one selling quantity combination of a second time period in the future according to the sales volume of the unit time, and the selling quantity combination comprises suppliers corresponding to the medicines and medicine supply quantities of the suppliers in the second time period;
and the dynamic allocation module is connected with the sales prediction module and is used for receiving the current medicine purchase order submitted by the downstream user and dynamically allocating each medicine in the current medicine purchase order according to the selling quantity combination.
2. The dynamic planning deployment system of claim 1 wherein the first prediction unit comprises:
the pre-acquisition subunit is used for acquiring the historical medicine purchase order of the first time period according to the sampling period;
the statistics subunit is connected with the pre-acquisition subunit and is used for counting the historical sales volume of each medicine in all the historical medicine purchase orders aiming at each medicine;
and the analysis subunit is connected with the statistics subunit and is used for respectively calculating the sales volume of each medicine in unit time according to the historical sales volume of each medicine and the first time period and outputting the sales volume as the sales volume in unit time.
3. The dynamic planning deployment system of claim 1 wherein the second prediction unit comprises:
a combination subunit, configured to, for each type of medicine, exhaust the supply quantity of the medicine of each supplier in the second time period according to the sales quantity per unit time and the inventory quantity of each supplier to obtain all sales quantity combinations;
the calculating subunit is connected with the combination subunit and is used for calculating a total profit value corresponding to each selling quantity combination according to a storage cost and a selling profit of each medicine contained in the selling quantity combination aiming at each selling quantity combination;
and the screening subunit is connected with the calculating subunit and used for analyzing and obtaining a maximum total benefit value according to all the total benefit values and outputting the selling quantity combination corresponding to the maximum total benefit value.
4. The dynamic planning deployment system of claim 3 wherein the total profit value is calculated in the computing subunit as follows:
wherein the content of the first and second substances,
wherein, for each of said drugs, MjThe value of the profit of the selling quantity combination on the j day is represented by H, and the total value of the profit of the selling quantity combination is represented by H;
Qifor the retail price, P, corresponding to said supplier iiA supply price corresponding to the supplier i, CijThe number of supplies of said drug on day j for said supplier i, Fij(ii) said warehousing cost for said drug at day j;
Sifor the inventory quantity of the supplier i, R is a scale factor, TiIs the time of inventory of the drug.
5. The dynamic planning deployment system of claim 1 wherein the dynamic deployment module comprises:
the acquisition unit is used for receiving the current medicine purchase order submitted by the downstream user;
and the analysis unit is connected with the acquisition unit and used for respectively matching each medicine contained in the current medicine purchase order to obtain the corresponding selling quantity combination and dynamically allocating the medicines supplied by each supplier in the selling quantity combination according to the matching result and the current medicine purchase order.
6. The dynamic programming allocation system of claim 5, wherein said second time period includes at least one time node, said sales volume combination includes one said time node and said drug supply volume of each said supplier at each said time node, and said analysis unit comprises:
the matching subunit is used for obtaining the corresponding selling quantity combination according to the matching of each medicine in the current medicine purchase order;
the ordering subunit is connected with the matching subunit, and orders the suppliers in the selling quantity combinations according to the sequence of the time nodes for each selling quantity combination to obtain a supplier sequence;
and the preparing subunit is connected with the sequencing subunit and is used for preparing the medicines supplied by the prior suppliers according to the sequence of the supplier sequence aiming at each medicine.
7. A dynamic planning and allocating method for a centralized drug storage platform, which is applied to the dynamic planning and allocating system of any one of claims 1 to 6, the dynamic planning and allocating method comprising:
step S1, acquiring historical drug purchase orders in a first time period according to a preset sampling period, and predicting a unit time sales amount of each drug included in each historical drug purchase order according to each historical drug purchase order;
step S2, obtaining at least one selling quantity combination of a second time period in the future according to the sales amount per unit time, wherein the selling quantity combination comprises suppliers corresponding to the medicines and medicine supply quantities of the suppliers in the second time period;
step S3, receiving the current drug purchase order submitted by the downstream user, and dynamically allocating each drug in the current drug purchase order according to the sales volume combination.
8. The dynamic planning deployment method of claim 7, wherein the step S1 includes:
step S11, acquiring the historical medicine purchase order of the first time period according to the sampling period;
step S12, for each medicine, counting the historical sales volume of each medicine in all the historical medicine purchase orders;
and step S13, calculating the sales volume of each medicine in a unit time according to the historical sales volume of each medicine and the first time period, and outputting the sales volume as the sales volume in the unit time.
9. The dynamic planning deployment method of claim 7, wherein the step S2 includes:
step S21, for each of the medicines, exhausting the supply quantities of the medicines of each of the suppliers in the second time period according to the sales quantity per unit time and the inventory quantity of each of the suppliers to obtain all the combinations of the sales quantities;
step S22, for each selling quantity combination, calculating a total benefit value corresponding to each selling quantity combination according to a warehousing cost and a selling profit of each medicine contained in the selling quantity combination;
and step S23, analyzing to obtain a maximum total benefit value according to all the total benefit values, and outputting the selling quantity combination corresponding to the maximum total benefit value.
10. The dynamic planning deployment method of claim 7, wherein the step S3 includes:
step S31, receiving the current drug purchase order submitted by the downstream user;
step S32, obtaining the corresponding selling quantity combination according to the matching of each kind of the medicines included in the current medicine purchase order, and dynamically allocating the medicines supplied by each supplier in the selling quantity combination according to the matching result and the current medicine purchase order.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115829287A (en) * | 2022-12-16 | 2023-03-21 | 广州飞狮数字科技有限公司 | Goods distribution method and device |
| CN117153324A (en) * | 2023-10-24 | 2023-12-01 | 德格县藏医院(藏医药研究所) | Medicine preparation control method, device, equipment and storage medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115829287A (en) * | 2022-12-16 | 2023-03-21 | 广州飞狮数字科技有限公司 | Goods distribution method and device |
| CN115829287B (en) * | 2022-12-16 | 2023-09-01 | 广州飞狮数字科技有限公司 | Goods distribution method and device |
| CN117153324A (en) * | 2023-10-24 | 2023-12-01 | 德格县藏医院(藏医药研究所) | Medicine preparation control method, device, equipment and storage medium |
| CN117153324B (en) * | 2023-10-24 | 2024-02-06 | 德格县藏医院(藏医药研究所) | Medicine preparation control method, device, equipment and storage medium |
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