CN108766543A - One kind is based on medical supplies automatic replenishing algorithm and realization on supply platform chain - Google Patents
One kind is based on medical supplies automatic replenishing algorithm and realization on supply platform chain Download PDFInfo
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
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- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
- G06Q10/0875—Itemisation or classification of parts, supplies or services, e.g. bill of materials
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Abstract
The invention discloses one kind based on medical supplies automatic replenishing algorithm and realization on supply platform chain, and the supply platform chain includes：Safety inventory, calculating demand, generation scheme and output are calculated as a result, the present invention is based on medical supplies automatic replenishing algorithms on supply platform chain and realization to have the characteristics that avoid error, avoids supply of material shortage, saving resource.
Description
Technical field
It is specially a kind of based on medical supplies automatic replenishing on supply platform chain the present invention relates to technical field of medical instrument
Algorithm and realization.
Background technology
Since Harris in 1915 proposes famous economic purchasing quantity (EOQ) formula of inventory problem, operational research research
Person and stock control worker propose and solve diversified inventory problem in succession, are just formed and are planned strategies for the 1950s
The important branch learned, i.e. storage opinion (also known as inventory theory).Storage theory all establishes row through studying for a long period of time, in many fields
Effective mathematical model, solve numerous problems in the fields such as buying, storage, storage and transportation, sale.The author is medical in participation Wuhu
During the establishment of consumptive material information of supply chain platform, the model and algorithm medical supplies (abbreviation consumptive material) at home of storage theory are found
Rarely has utilization in the field of circulation.But existing computational methods cannot meet the needs, and exists calculate error when in use, to
Lead to shortage of supplying, for this purpose, present invention combination medical supplies information of supply chain platform construction and hospital's dosage feature and
Management objectives attempt to establish medical supplies information of supply chain platform and go to the hospital the model and algorithm of consumptive material automatic replenishing, are hospital
Primary Study is unfolded in the realization and application of the intelligent automatic model algorithm that replenishes of consumptive material.
Invention content
Present invention solves the technical problem that being to overcome the calculating of the prior art there are error, easily leading to supply of material shortage, wave
It provides a kind of based on medical supplies automatic replenishing algorithm and realization on supply platform chain the defects of taking resource.It is described to be based on supply
Medical supplies automatic replenishing algorithm and realization have the characteristics that avoid error, avoid supply of material shortage, save resource on platform chain.
To achieve the above object, the present invention provides the following technical solutions：One kind based on supply platform chain on medical supplies from
Dynamic replenish algorithm and realization, the supply platform chain include：Calculate safety inventory：By autoregression model and exponential model mixing
At model calculate, formula ssi(u, v)=afssi(u-1,v)+βfssi(u,v-1)+ei(u,v)；
Wherein, ssi(u,v)：Safety inventory；fssi(u,v-1)：Practical safety inventory；ei(u,v)：For this period consumptive material i
Safety inventory error correction values；β：For a cycle to the weight of this cycle influences, it is 1/2 to be worth on consumptive material；i：Consumptive material；u：It indicates
For the year；u-1：Indicate last year； v：Indicate this order cycle time；v-1：Indicate an order cycle time；
Calculate demand：Within the order cycle time, consumptive material demand is a determining quantity, write as one it is independent
Computing module is used in combination variable to preserve its value, obtains formula MSi(u, v)=pti×avei(u,v-1)+ssi(u,v)；
Wherein, MSi(u,v)：Demand；pti：Order cycle time；avei(u,v)：I-th kind of consumptive material of hospital predicts average daily dosage,
ssi(u,v)：Safety inventory；
Generation scheme：
Wherein, t：Time in advance number of days；m：Medicinal material type number；
Export result：Export result of calculation.
Preferably, the described algorithm the time in advance that each supplier provides by sorting from small to large, to determine time in advance T's
Value sequence, after determining the time in advance of consumptive material, determines the consumptive material inventory of time in advance, the demand of consumptive material ordering period and in advance
The demand of phase, the two is added to obtain highest inventory, then subtracts current inventory with highest inventory, obtains ordering amount, uses quicksort
Algorithm the consumptive material price that each supplier provides by sorting from small to large, preferentially order goods by the consumptive material low to medicine valence, from low to high, by
A addition finds out consumptive material buying cost and consumptive material keeping cost under conditions of meeting hospital consumable demand, and the two is added, obtains
Go out the inventory cost that time in advance is T, its inventory cost finally is found out to each time in advance T, and in these inventory cost sequences
In be minimized, determine the minimum inventories cost of consumptive material i.
Preferably, in the formula for calculating safety inventory, a:It is made of 3 factors, hospital size spreading rate hr, hospital
The natural growth rate of population pr of location and rate cr, a=(1+hr) × (1+pr) × (1+cr)/2 of urbanization；ei(u,
V) calculation formula isWherein W is sampling range；
fssiThe calculation formula of (u, v-1) isWherein, si(u,
V) it is that i-th kind of consumptive material actual standard of hospital is poor, ziFor i-th kind of consumptive material safety coefficient, ptiFor the order cycle time of i-th kind of consumptive material,
stiFor the time in advance number of days of i-th kind of consumptive material.
Compared with prior art, the beneficial effects of the invention are as follows：The consumptive material price that this method provides each supplier by from
Small to sort to big, the consumptive material low to medicine valence is preferentially ordered goods, from low to high, is added one by one, in the condition for meeting hospital consumable demand
Under, consumptive material buying cost and consumptive material keeping cost are found out, to ensure the minimum inventories cost of consumptive material, and then avoids certain money
Source wastes, at the same this method the time in advance that each supplier provides by sorting from small to large, to determine the value sequence of time in advance,
After the time in advance for determining consumptive material again, the consumptive material inventory of time in advance is determined, and then avoid error, avoid supply of material shortage.
Description of the drawings
Fig. 1 is supply chain platform structure block diagram of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution：One kind is based on medical supplies automatic replenishing on supply platform chain
Algorithm and realization, it is characterised in that：The supply platform chain includes：Calculate safety inventory：By autoregression model and exponential model
The model mixed calculates, formula ssi(u, v)=afssi(u-1,v)+βfssi(u,v-1)+ei(u,v)；
Wherein, ssi(u,v)：Safety inventory；fssi(u,v-1)：Practical safety inventory；ei(u,v)：For this period consumptive material i
Safety inventory error correction values；β：For a cycle to the weight of this cycle influences, it is 1/2 to be worth on consumptive material；i：Consumptive material；u：It indicates
For the year；u-1：Indicate last year； v：Indicate this order cycle time；v-1：Indicate an order cycle time；a:It is made of, cures 3 factors
Rate cr, a=(1+hr) × (1+ of institute scale enlargement rate hr, the natural growth rate of population pr of hospital location and urbanization
pr)×(1+cr)/2；eiThe calculation formula of (u, v) isWherein W is to take
Sample range；
fssiThe calculation formula of (u, v-1) isWherein, si(u,v)
Poor, the z for i-th kind of consumptive material actual standard of hospitaliFor i-th kind of consumptive material safety coefficient, ptiFor the order cycle time of i-th kind of consumptive material, sti
For the time in advance number of days of i-th kind of consumptive material
Calculate demand：Within the order cycle time, consumptive material demand is a determining quantity, write as one it is independent
Computing module is used in combination variable to preserve its value, obtains formula MSi(u, v)=pti×avei(u,v-1)+ssi(u,v)；
Wherein, MSi(u,v)：Demand；pti：Order cycle time；avei(u,v)：I-th kind of consumptive material of hospital predicts average daily dosage,
ssi(u,v)：Safety inventory；
Generation scheme：
Wherein, t：Time in advance number of days；m：Medicinal material type number；The time in advance that the described algorithm provides each supplier by from
It is small after determining the time in advance of consumptive material, to determine the consumptive material inventory of time in advance to big sequence to determine the value sequence of time in advance T,
The demand of consumptive material ordering period and the demand of time in advance, the two is added to obtain highest inventory, then is subtracted currently with highest inventory
Inventory obtains ordering amount, with quick sorting algorithm the consumptive material price that each supplier provides by sorting from small to large, it is low to medicine valence
Consumptive material preferentially order goods, from low to high, be added one by one, under conditions of meeting hospital consumable demand, find out consumptive material buying cost
Cost is taken care of with consumptive material, the two is added, and is shown that time in advance is the inventory cost of T, is finally found out its inventory to each time in advance T
Cost, and be minimized in these inventory cost sequences, determine the minimum inventories cost of consumptive material i；
Export result：Export result of calculation.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (3)
1. one kind is based on medical supplies automatic replenishing algorithm and realization on supply platform chain, it is characterised in that：The supply chain is flat
Platform includes：Calculate safety inventory：The model mixed by autoregression model and exponential model calculates, and formula is
ssi(u, v)=afssi(u-1,v)+βfssi(u,v-1)+ei(u,v)；
Wherein, ssi(u,v)：Safety inventory；fssi(u,v-1)：Practical safety inventory；ei(u,v)：For the peace of this period consumptive material i
Full inventory's error correction values；β：For a cycle to the weight of this cycle influences, it is 1/2 to be worth on consumptive material；i：Consumptive material；u：Expression is worked as
Year；u-1：Indicate last year；v：Indicate this order cycle time；v-1：Indicate an order cycle time；
Calculate demand：Within the order cycle time, consumptive material demand is a determining quantity, is write as an independent calculating
Module is used in combination variable to preserve its value, obtains formula MSi(u, v)=pti×avei(u,v-1)+ssi(u,v)；
Wherein, MSi(u,v)：Demand；pti：Order cycle time；avei(u,v)：I-th kind of consumptive material of hospital predicts average daily dosage, ssi
(u,v)：Safety inventory；
Generation scheme：
Wherein, t：Time in advance number of days；m：Medicinal material type number；
Export result：Export result of calculation.
2. it is according to claim 1 a kind of based on medical supplies automatic replenishing algorithm and realization on supply platform chain, it is special
Sign is：For the described algorithm the time in advance that each supplier provides by sorting from small to large, the value to determine time in advance T is suitable
Sequence determines the consumptive material inventory of time in advance after determining the time in advance of consumptive material, the demand of consumptive material ordering period and the need of time in advance
The amount of asking, the two is added to obtain highest inventory, then subtracts current inventory with highest inventory, obtains ordering amount, with quick sorting algorithm handle
The consumptive material price that each supplier provides by sorting from small to large, preferentially order goods by the consumptive material low to medicine valence, from low to high, adds one by one
Enter, under conditions of meeting hospital consumable demand, finds out consumptive material buying cost and consumptive material keeping cost, the two is added, obtains and carry
Early period is the inventory cost of T, finally finds out its inventory cost to each time in advance T, and taken in these inventory cost sequences
Minimum value determines the minimum inventories cost of consumptive material i.
3. it is according to claim 1 a kind of based on medical supplies automatic replenishing algorithm and realization on supply platform chain, it is special
Sign is：In the formula for calculating safety inventory, a:It is made of 3 factors, hospital size spreading rate hr, hospital location
Natural growth rate of population pr and urbanization rate cr, a=(1+hr) × (1+pr) × (1+cr)/2；eiThe calculating of (u, v)
Formula isWherein W is sampling range；fssiThe calculating of (u, v-1) is public
Formula isWherein, si(u, v) is i-th kind of consumptive material actual standard of hospital
Difference, ziFor i-th kind of consumptive material safety coefficient, ptiFor the order cycle time of i-th kind of consumptive material, stiFor the time in advance number of days of i-th kind of consumptive material.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111430020A (en) * | 2020-04-19 | 2020-07-17 | 蓓安科仪（北京）技术有限公司 | High-value medical consumable management method based on artificial intelligence |
| CN111915260A (en) * | 2020-08-10 | 2020-11-10 | 辉岭加拿大有限公司 | Automatic hospital (laboratory) supply chain management system |
| CN113823395A (en) * | 2021-11-25 | 2021-12-21 | 天津医药集团众健康达医疗器械有限公司 | Medical consumable stock method, system, terminal equipment and storage medium |
| CN113935672A (en) * | 2020-07-13 | 2022-01-14 | 上海顺如丰来技术有限公司 | Automatic replenishment method and device, computer equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103544668A (en) * | 2013-10-17 | 2014-01-29 | 中国人民解放军第二军医大学 | Medical consumables monitoring system |
| CN106407692A (en) * | 2016-09-28 | 2017-02-15 | 合肥工业大学 | Method for determining actual purchase quantity and optimum storage amount of medical consumable based on big data |
| CN106419322A (en) * | 2016-10-27 | 2017-02-22 | 太仓市同维电子有限公司 | Manufacturing method of plug-in assembly line spare part and consumable shelf and convenient spare part and consumable inventory management method |
| CN107491637A (en) * | 2017-07-28 | 2017-12-19 | 北京诺浦科技发展有限公司 | Medical precious consumable delivery management method based on RFID and cloud computing |
-
2018
- 2018-05-29 CN CN201810531262.9A patent/CN108766543A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103544668A (en) * | 2013-10-17 | 2014-01-29 | 中国人民解放军第二军医大学 | Medical consumables monitoring system |
| CN106407692A (en) * | 2016-09-28 | 2017-02-15 | 合肥工业大学 | Method for determining actual purchase quantity and optimum storage amount of medical consumable based on big data |
| CN106419322A (en) * | 2016-10-27 | 2017-02-22 | 太仓市同维电子有限公司 | Manufacturing method of plug-in assembly line spare part and consumable shelf and convenient spare part and consumable inventory management method |
| CN107491637A (en) * | 2017-07-28 | 2017-12-19 | 北京诺浦科技发展有限公司 | Medical precious consumable delivery management method based on RFID and cloud computing |
Non-Patent Citations (1)
| Title |
|---|
| 盛禧: "基于供应链平台上医院医用耗材自动补货算法研究" * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111430020A (en) * | 2020-04-19 | 2020-07-17 | 蓓安科仪（北京）技术有限公司 | High-value medical consumable management method based on artificial intelligence |
| CN113935672A (en) * | 2020-07-13 | 2022-01-14 | 上海顺如丰来技术有限公司 | Automatic replenishment method and device, computer equipment and storage medium |
| CN111915260A (en) * | 2020-08-10 | 2020-11-10 | 辉岭加拿大有限公司 | Automatic hospital (laboratory) supply chain management system |
| CN111915260B (en) * | 2020-08-10 | 2023-05-26 | 辉岭加拿大有限公司 | Automatic change hospital (laboratory) supply chain management system |
| CN113823395A (en) * | 2021-11-25 | 2021-12-21 | 天津医药集团众健康达医疗器械有限公司 | Medical consumable stock method, system, terminal equipment and storage medium |
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Application publication date: 20181106 |