CN115809790A - Intelligent supply chain terminal system management method - Google Patents
Intelligent supply chain terminal system management method Download PDFInfo
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Abstract
The invention discloses a management method of an intelligent supply chain terminal system, which relates to the technical field of supply chain management and comprises the following steps: collecting allocation records of various storage materials in a management platform to perform DR evaluation of allocation heat; a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; after receiving the material allocation application, the management platform analyzes the content of the material allocation application and performs priority value analysis on the received material allocation application to generate a processing priority list of the material allocation application; the management platform sequentially processes the material allocation applications according to the sequence positions of the material allocation applications in the processing priority table; the effective allocation of collective materials is realized; after the warehousing field personnel process the material allocation application, counting the residual inventory of the corresponding warehousing materials and updating on the management platform; the management platform is used for evaluating the allocation coefficient of the storage materials and judging whether to regulate and control the storage of the storage materials; improve the material allocation efficiency.
Description
Technical Field
The invention relates to the technical field of supply chain management, in particular to a management method of an intelligent supply chain tip system.
Background
The material is used as a core resource and is important for enterprise development. The intelligent supply chain is the specific practice and application of the ubiquitous power internet of things in the field of materials; the intelligent supply chain is based on three intelligent service chains of intelligent purchasing, digital logistics and panoramic quality control, and improves the professional operation capacity of materials; the high-quality service is better provided for customers by taking the efficient cooperation of the inside and the outside as the support; by taking intelligent operation as a core, the data mining and value creation capability of the whole process of a supply chain is improved, and information service is better provided for companies and society.
At present, the material management mode is more traditional, the self management of staff is mainly relied on, the quantity bottom limit of materials cannot be judged in time, the checking of the materials is difficult, and the phenomenon of losing the materials happens occasionally; meanwhile, the storage management has many manual operation links and high labor cost; the storage data visualization degree is low, and the shipping management resource collaborative service effect is poor; product tracing efficiency and accuracy are insufficient, responsibility definition difficulty is high, and management response efficiency is low; collective materials cannot be effectively allocated, the stock cannot be reasonably controlled, and planned regulation and control on the stock of the materials are lacked; based on the above disadvantages, the present invention provides a management method for intelligent supply chain end system.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides an intelligent supply chain end system management method.
To achieve the above object, an embodiment according to a first aspect of the present invention provides an intelligent supply chain tip system management method, including the following steps:
the method comprises the following steps: collecting allocation records of various warehouse materials in a management platform, and evaluating allocation heat DR of the warehouse materials according to the allocation records; the transfer record comprises transfer time, transfer quantity and initiator;
step two: a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; after receiving the material allocation application, the management platform analyzes the material allocation application content and performs position preference value Ds analysis on the received material allocation application to generate a processing priority list of the material allocation application;
step three: the management platform sequentially processes the material allocation applications according to the sequence positions of the material allocation applications in the processing priority table; after the warehousing field personnel process the material allocation application, counting the residual inventory of the corresponding warehousing materials and updating on a management platform;
step four: and the management platform is used for carrying out DP evaluation on the allocation coefficient of the storage materials and judging whether to regulate and control the storage of the storage materials.
Further, the specific evaluation steps of the allocation heat degree DR are as follows:
counting the transfer frequency of the storage materials as a transfer frequency L1 in a preset time period aiming at a certain storage material, and accumulating the transfer number of the storage materials to obtain a total transfer amount LZ1;
intercepting a time period between adjacent transfer moments of the storage materials as a transfer buffer time period; counting the transfer frequency of other warehouse materials in each transfer buffering time period as a transfer buffering frequency Tm to obtain a transfer buffering frequency information group;
carrying out relevant processing on the dialing buffer frequency information group to obtain a characteristic value PZ; calculating the transfer heat degree DR of the warehouse material by using a formula DR = (L1 × b1+ LZ1 × b 2)/(PZ × b 3), wherein b1, b2 and b3 are coefficient factors.
Further, the dialing buffer frequency information group is subjected to correlation processing to obtain a characteristic value PZ, which specifically comprises the following steps: calculating to obtain the standard deviation mu of the transfer buffer frequency information group according to a standard deviation calculation formula;
if mu is less than or equal to a preset standard deviation threshold value, calculating a characteristic value PZ of the transfer buffer frequency information group according to a characteristic value calculation formula; the eigenvalue calculation formula is:
wherein Tn represents the last call buffer frequency; if mu is larger than a preset standard deviation threshold value, solving the mode of the transfer buffer frequency information group in a mode of mode rule; and carrying out difference calculation on the mode of the transfer buffer frequency information group and Tn to obtain a characteristic value PZ.
Further, the mode rule is: taking any element in the transfer buffer frequency information group as a center, counting the number of elements with the difference value within a preset value and marking as the coincidence number of the corresponding element; and taking the element with the most coincident number as the mode of the information group of the frequency of the call buffer.
Further, the specific analysis process of the position merit Ds is as follows:
acquiring an initiator of the material allocation application, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting a corresponding preset value for each company position, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as Y1;
marking the transfer waiting time of the material transfer application as DT; marking the allocation quantity of the corresponding storage materials as Lt, and acquiring the allocation heat DR of the corresponding storage materials; calculating to obtain a position optimal value Ds of the material allocation application by using a formula Ds = f × DR × (Y1 × g1+ DT × g2+ Lt × g 3), wherein g1, g2 and g3 are preset coefficient factors, and f is a preset compensation coefficient; and (4) arranging the material allocation applications in a descending order according to the value Ds of the priority value to generate a processing priority list of the material allocation applications.
Further, the specific evaluation process of the blending coefficient DP is as follows:
acquiring the residual stock of the corresponding storage materials and marking the residual stock as Cs; acquiring the allocation heat degree DR corresponding to the storage materials; calculating to obtain a blending coefficient DP of the storage materials by using DP = gammah (Cs multiplied by b 4)/(DR multiplied by g 4), wherein b4 and g4 are preset coefficient factors, and gamma is a preset equilibrium coefficient;
comparing the blending coefficient DP with a preset blending threshold value; the preset blending threshold comprises F1 and F2; f1 and F2 are preset values, and F1 is less than F2;
if the DP is larger than or equal to F2, the storage material corresponding to the DP is excessively accumulated, and at the moment, the management platform executes a priority marketing measure on the storage material; if the DP is more than or equal to F1 and less than F2, the corresponding storage material is normally allocated, and the storage of the storage material is not required to be regulated and controlled; if DP < F1, it is not enough to indicate the corresponding storage supplies stock, at this moment, the management platform carries out stock supplementary measures to the storage supplies.
Further, the method further comprises: and arranging an RFID detection door, wherein the RFID detection door is used for automatically detecting information codes of warehousing and ex-warehouse goods and materials, uploading the information codes to a management platform for comparison, and feeding back a comparison result.
Further, when the information code of the goods to be delivered is identified to be inconsistent with the goods to be delivered, the alarm lamp is enabled to give an alarm through the management platform.
Further, the method further comprises: a video monitoring module is arranged in the whole warehouse and is used for automatically monitoring the actions of personnel in the warehouse so as to realize traceability of the operation process;
wherein, video monitoring is divided into two blocks: monitoring the whole area of the warehouse by a camera of the 360-degree ball machine;
a special camera is added to the key cargo space; the system is used for identifying the actions of personnel and a forklift, judging whether abnormal conditions exist or not after work order information is analyzed and compared through action tracks, and giving an alarm for abnormal scenes.
Compared with the prior art, the invention has the beneficial effects that:
1. firstly, collecting allocation records of various storage materials in a management platform, and evaluating allocation heat of the storage materials according to the allocation records; a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; after receiving the material allocation application, the management platform analyzes the content of the material allocation application and performs priority value analysis on the received material allocation application to generate a processing priority list of the material allocation application; the management platform sequentially processes the material allocation application according to the sequence position of the material allocation application in the processing priority list; the effective allocation of the collective materials is realized;
2. in the invention, after the storage site personnel process the material allocation application, the residual inventory of the corresponding storage materials is checked and updated on the management platform; the management platform is used for carrying out allocation coefficient evaluation on the storage materials and judging whether to regulate and control the storage of the storage materials; comparing the blending coefficient DP with a preset blending threshold value; if the DP is larger than or equal to F2, the storage material corresponding to the DP is excessively accumulated, and at the moment, the management platform executes a priority marketing measure on the storage material; if DP is less than F1, it indicates that the corresponding storage material is in short stock, and at this time, the management platform performs stock supplement measures on the storage material, so as to improve the material allocation efficiency;
3. the RFID detection door is used for automatically detecting information codes of materials entering and leaving the warehouse, uploading the information codes to a management platform for comparison, feeding back a comparison result and guiding the accuracy of operation; the video monitoring module is used for automatically monitoring the actions of personnel in the warehouse, keeping the safety of the assets in the warehouse and realizing the traceability of the operation process; the invention aims at various storage materials, takes the information code as the unique identifier, and utilizes the terminal system to carry out closed-loop management on the storage materials, thereby realizing the visual, controllable and manageable full life cycle management process of the storage materials.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic block diagram of a method for intelligent supply chain tip system management according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for managing an intelligent supply chain end system includes the following steps:
the method comprises the following steps: collecting allocation records of various storage materials in the management platform, wherein the allocation records comprise allocation time, allocation quantity and an initiator; evaluating the allocation heat of the storage materials according to the allocation records; the specific evaluation steps are as follows:
counting the transfer frequency of the storage materials as a transfer frequency L1 in a preset time period aiming at a certain storage material, and accumulating the transfer number of the storage materials to obtain a transfer total LZ1; wherein, the dialing frequency L1 corresponds to the dialing total LZ1 one by one;
intercepting a time period between adjacent transfer moments of the stored materials as a transfer buffering time period, and marking the transfer times of other stored materials in each transfer buffering time period as transfer buffering frequency Tm to obtain a transfer buffering frequency information group;
carrying out relevant processing on the dialing buffer frequency information group to obtain a characteristic value PZ; the method specifically comprises the following steps:
calculating to obtain a standard deviation mu of the transfer buffer frequency information group according to a standard deviation calculation formula, and if the mu is less than or equal to a preset standard deviation threshold value, calculating a characteristic value PZ of the transfer buffer frequency information group according to a characteristic value calculation formula; the eigenvalue calculation formula is:
wherein Tn represents the last call buffer frequency;
if mu is larger than a preset standard deviation threshold value, solving the mode of the transfer buffer frequency information group in a mode of mode rule; the mode rule is as follows: taking any element in the transfer buffer frequency information group as a center, counting the number of elements with the difference value within a preset value and marking as the coincidence number of the corresponding element; taking the element with the most coincident numbers as the mode of the information group of the transfer buffer frequency;
calculating the difference between the mode of the transfer buffer frequency information group and Tn to obtain a characteristic value PZ;
calculating the transfer heat degree DR of the storage materials by using a formula DR = (L1 × b1+ LZ1 × b 2)/(PZ × b 3), wherein b1, b2 and b3 are coefficient factors;
step two: a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; the material allocation application comprises material types and material quantity;
step three: after receiving the material allocation application, the management platform analyzes the content of the material allocation application and performs priority value analysis on the received material allocation application to generate a processing priority list of the material allocation application; the specific analysis process is as follows:
acquiring an initiator of the material allocation application, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting a corresponding preset value for each company position, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as Y1;
calculating the time difference between the uploading time of the material allocation application and the current time of the system to obtain the allocation waiting time DT; acquiring the material types and the material quantity in the material allocation application;
marking the allocation quantity of the corresponding storage materials as Lt, and acquiring the allocation heat DR of the corresponding storage materials; calculating to obtain a position optimal value Ds of the material allocation application by using a formula Ds = f × DR × (Y1 × g1+ DT × g2+ Lt × g 3), wherein g1, g2 and g3 are preset coefficient factors, and f is a preset compensation coefficient;
arranging the material allocation applications in a descending order according to the value Ds of the position optimum value to generate a processing priority table of the material allocation applications; the management platform sequentially processes the material allocation applications according to the sequence positions of the material allocation applications in the processing priority table; after the warehousing field personnel process the material allocation application, counting the residual inventory of the corresponding warehousing materials and updating on the management platform;
step four: the management platform is used for evaluating the allocation coefficient of the storage materials and judging whether to regulate and control the storage of the storage materials; the specific evaluation process is as follows:
acquiring the residual stock of the corresponding storage materials and marking the residual stock as Cs; acquiring the allocation heat degree DR corresponding to the storage materials; calculating a blending coefficient DP of the storage materials by using DP = gammah (Cs multiplied by b 4)/(DR multiplied by g 4), wherein b4 and g4 are preset coefficient factors, and gamma is a preset equilibrium coefficient;
comparing the blending coefficient DP with a preset blending threshold value; the preset blending threshold comprises F1 and F2; f1 and F2 are preset values, and F1 is less than F2;
if the DP is more than or equal to F2, the corresponding storage materials are excessively accumulated, and at the moment, the management platform executes a priority marketing measure on the storage materials so as to avoid the accumulation of the storage materials and improve the material allocation efficiency;
if the DP is less than or equal to F1 and less than F2, the corresponding storage material is normally allocated, and the storage of the storage material is not required to be regulated and controlled;
if DP is less than F1, it indicates that the corresponding storage material is in short stock, and at this time, the management platform performs stock supplement measures on the storage material, so as to improve the material allocation efficiency;
in this embodiment, the method further includes: setting an RFID detection door, wherein the RFID detection door is used for automatically detecting information codes of warehousing and ex-warehouse goods and materials, uploading the information codes to a management platform for comparison, feeding back a comparison result and guiding the precision of operation; aiming at various storage materials, the information code is used as a unique identifier, a closed-loop management is carried out on the storage materials by using a terminal system, and a visual, controllable and manageable full life cycle management process of the storage materials is realized;
when the information code of the goods and materials to be delivered is identified to be inconsistent with the goods to be delivered, the alarm lamp is enabled to give an alarm through the management platform, so that the condition that the goods to be delivered are wrong can be effectively avoided;
in this embodiment, the method further includes: a video monitoring module is arranged in the whole warehouse and is used for automatically monitoring the actions of personnel in the warehouse, so that the safety of the goods in the warehouse is kept and the traceability of the operation process is realized;
wherein, video monitoring is divided into two blocks: monitoring the whole area of the warehouse by a camera of the 360-degree ball machine;
a special camera is added to the key cargo space and used for identifying the actions of personnel and a forklift, judging whether abnormal conditions exist or not after work order information is analyzed and compared through action tracks, and giving an alarm for abnormal scenes.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
during working, firstly collecting allocation records of various storage materials in a management platform, and evaluating allocation heat of the storage materials according to the allocation records; a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; after receiving the material allocation application, the management platform analyzes the content of the material allocation application and performs priority value analysis on the received material allocation application to generate a processing priority list of the material allocation application; the management platform sequentially processes the material allocation applications according to the sequence positions of the material allocation applications in the processing priority table; the effective allocation of collective materials is realized;
after the warehousing field personnel process the material allocation application, counting the residual inventory of the corresponding warehousing materials and updating on the management platform; the management platform is used for carrying out allocation coefficient evaluation on the storage materials and judging whether to regulate and control the storage of the storage materials; comparing the blending coefficient DP with a preset blending threshold value; if the DP is larger than or equal to F2, the storage material corresponding to the DP is excessively accumulated, and at the moment, the management platform executes a priority marketing measure on the storage material; if DP is less than F1, it indicates that the corresponding storage material is in short stock, and at this time, the management platform performs stock supplement measures on the storage material, so as to improve the material allocation efficiency;
the method further comprises the following steps: setting an RFID detection door, wherein the RFID detection door is used for automatically detecting information codes of warehousing and ex-warehouse goods and materials, uploading the information codes to a management platform for comparison, feeding back a comparison result and guiding the precision of operation; a video monitoring module is arranged in the whole warehouse and is used for automatically monitoring the actions of personnel in the warehouse, so that the safety of the goods in the warehouse is kept and the traceability of the operation process is realized; the invention aims at various storage materials, takes the information code as the unique identifier, and utilizes the terminal system to carry out closed-loop management on the storage materials, thereby realizing the visual, controllable and manageable full life cycle management process of the storage materials.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (9)
1. An intelligent supply chain tip system management method is characterized by comprising the following steps:
the method comprises the following steps: collecting allocation records of various warehouse materials in a management platform, and evaluating allocation heat DR of the warehouse materials according to the allocation records; the transfer record comprises transfer time, transfer quantity and initiator;
step two: a user edits and uploads a material allocation application to a management platform through a mobile phone terminal; after receiving the material allocation application, the management platform analyzes the material allocation application content and performs position preference value Ds analysis on the received material allocation application to generate a processing priority list of the material allocation application;
step three: the management platform sequentially processes the material allocation applications according to the sequence positions of the material allocation applications in the processing priority table; after the warehousing field personnel process the material allocation application, counting the residual inventory of the corresponding warehousing materials and updating on a management platform;
step four: and the management platform is used for carrying out DP (distribution coefficient) evaluation on the storage materials and judging whether to regulate and control the storage of the storage materials.
2. The method as claimed in claim 1, wherein the specific evaluation step of the hot-degree DR is:
counting the transfer frequency of the storage materials as a transfer frequency L1 in a preset time period aiming at a certain storage material, and accumulating the transfer number of the storage materials to obtain a transfer total LZ1;
intercepting a time period between adjacent transfer moments of the storage materials as a transfer buffer time period; counting the allocation frequency of other storage materials in each allocation buffer time period as allocation buffer frequency Tm to obtain an allocation buffer frequency information group; carrying out relevant processing on the dialing buffer frequency information group to obtain a characteristic value PZ;
calculating the transfer heat degree DR of the warehouse material by using a formula DR = (L1 × b1+ LZ1 × b 2)/(PZ × b 3), wherein b1, b2 and b3 are coefficient factors.
3. The intelligent supply chain tip system management method as claimed in claim 2, wherein the correlation processing is performed on the group of the dialing buffer frequency information to obtain the characteristic value PZ, specifically:
calculating a standard deviation mu of the transfer buffer frequency information group according to a standard deviation calculation formula, and if the mu is less than or equal to a preset standard deviation threshold value, calculating a characteristic value PZ of the transfer buffer frequency information group according to a characteristic value calculation formula; the eigenvalue calculation formula is:
wherein Tn represents the last dispatch buffer frequency;
if mu is larger than a preset standard deviation threshold value, solving the mode of the transfer buffer frequency information group in a mode of mode rule; and carrying out difference calculation on the mode of the transfer buffer frequency information group and Tn to obtain a characteristic value PZ.
4. The method as claimed in claim 3, wherein the mode rule is: taking any element in the transfer buffer frequency information group as a center, counting the number of elements with the difference value within a preset value and marking as the coincidence number of the corresponding element; and taking the element with the most coincident number as the mode of the information group of the frequency of the call buffer.
5. The intelligent supply chain tip system management method according to claim 2, wherein the specific analysis process of the position merit Ds is as follows:
acquiring an initiator of the material allocation application, and comparing the initiator with personal information stored in a database to acquire identity information of the initiator; acquiring corresponding company positions in the identity information;
setting a corresponding preset value for each company position, matching the company position of the sponsor with all the company positions to obtain the corresponding preset value, and marking the preset value as Y1;
marking the transfer waiting time of the material transfer application as DT; marking the allocation quantity of the corresponding storage materials as Lt, and acquiring the allocation heat DR of the corresponding storage materials; calculating to obtain a superior value Ds of the material allocation application by using a formula Ds = f × DR × (Y1 × g1+ DT × g2+ Lt × g 3), wherein g1, g2 and g3 are preset coefficient factors, and f is a preset compensation coefficient; and (4) arranging the material allocation applications in a descending order according to the value Ds of the priority value to generate a processing priority list of the material allocation applications.
6. The method according to claim 2, wherein the specific evaluation process of the blending factor DP comprises:
acquiring the residual stock of the corresponding storage materials and marking the residual stock as Cs; acquiring the allocation heat degree DR corresponding to the storage materials; calculating to obtain a blending coefficient DP of the storage materials by using DP = gammar (Cs × b 4)/(DR × g 4), wherein b4 and g4 are preset coefficient factors, and gamma is a preset equilibrium coefficient;
comparing the blending coefficient DP with a preset blending threshold value; the preset blending threshold comprises F1 and F2; f1 and F2 are preset values, and F1 is less than F2;
if the DP is larger than or equal to F2, the storage material corresponding to the DP is excessively accumulated, and at the moment, the management platform executes a priority marketing measure on the storage material; if the DP is more than or equal to F1 and less than F2, the corresponding storage material is normally allocated, and the storage of the storage material is not required to be regulated and controlled; if DP < F1, it is not enough to indicate the corresponding storage supplies stock, at this moment, the management platform carries out stock supplementary measures to the storage supplies.
7. The method of claim 1, further comprising: and arranging an RFID detection door, wherein the RFID detection door is used for automatically detecting information codes of warehousing and ex-warehouse goods and materials, uploading the information codes to a management platform for comparison, and feeding back a comparison result.
8. The method as claimed in claim 7, wherein the alarm lamp is triggered to give an alarm by the management platform when the information code of the goods to be delivered is identified to be inconsistent with the goods to be delivered.
9. The method of claim 1, further comprising: a video monitoring module is arranged in the whole warehouse and is used for automatically monitoring the actions of personnel in the warehouse so as to realize traceability of the operation process;
wherein, video monitoring is divided into two blocks: monitoring the whole area of the warehouse by a camera of the 360-degree ball machine;
a special camera is added to the key cargo space; the system is used for identifying the actions of personnel and a forklift, judging whether abnormal conditions exist or not after work order information is analyzed and compared through action tracks, and giving an alarm for abnormal scenes.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116167697A (en) * | 2023-04-23 | 2023-05-26 | 长沙智医云科技有限公司 | Inventory data management system for medical consumables |
| CN117541161A (en) * | 2023-10-30 | 2024-02-09 | 国网冀北电力有限公司物资分公司 | Electric power material management platform and method |
| CN117541161B (en) * | 2023-10-30 | 2024-05-31 | 国网冀北电力有限公司物资分公司 | Electric power material management platform and method |
-
2022
- 2022-12-20 CN CN202211642865.9A patent/CN115809790A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116167697A (en) * | 2023-04-23 | 2023-05-26 | 长沙智医云科技有限公司 | Inventory data management system for medical consumables |
| CN116167697B (en) * | 2023-04-23 | 2023-07-04 | 长沙智医云科技有限公司 | Inventory data management system for medical consumables |
| CN117541161A (en) * | 2023-10-30 | 2024-02-09 | 国网冀北电力有限公司物资分公司 | Electric power material management platform and method |
| CN117541161B (en) * | 2023-10-30 | 2024-05-31 | 国网冀北电力有限公司物资分公司 | Electric power material management platform and method |
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