CN111415040A - Method and device for calculating suggested purchase amount based on PET purchase model - Google Patents

Method and device for calculating suggested purchase amount based on PET purchase model Download PDF

Info

Publication number
CN111415040A
CN111415040A CN202010200207.9A CN202010200207A CN111415040A CN 111415040 A CN111415040 A CN 111415040A CN 202010200207 A CN202010200207 A CN 202010200207A CN 111415040 A CN111415040 A CN 111415040A
Authority
CN
China
Prior art keywords
pet
factory
demand
bottle blank
calculating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010200207.9A
Other languages
Chinese (zh)
Other versions
CN111415040B (en
Inventor
刘玲
邓刘蒙子
欧锐坚
梁华锋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Resources Cestbon Beverage China Co Ltd
Original Assignee
China Resources Cestbon Beverage China Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Resources Cestbon Beverage China Co Ltd filed Critical China Resources Cestbon Beverage China Co Ltd
Priority to CN202010200207.9A priority Critical patent/CN111415040B/en
Publication of CN111415040A publication Critical patent/CN111415040A/en
Application granted granted Critical
Publication of CN111415040B publication Critical patent/CN111415040B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Manufacturing & Machinery (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application relates to a method, a device, computer equipment and a storage medium for calculating suggested purchase quantity based on a PET purchasing model, wherein the method comprises the following steps: calculating to obtain the bottle blank raw material demand according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material; calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameters; the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season; and calculating the available days of the excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory to obtain the available days of the excess materials of the factory, and judging whether the factory is short of the materials or not according to the calculation result. The method and the device can calculate and calculate the recommended purchasing amount according to the model algorithm of real-time inventory, operation data and related floating indexes, and improve the purchasing decision efficiency.

Description

Method and device for calculating suggested purchase amount based on PET purchase model
Technical Field
The invention relates to the technical field of computer application, in particular to a method and a device for calculating suggested purchase quantity based on a PET purchase model, computer equipment and a storage medium.
Background
At present, with the development of computer technology, the application field of computer technology is more and more extensive. One of the most important application scenarios is that a computer can operate according to a program and automatically process mass data at a high speed to realize unified management of mass data.
However, the existing PET material management only has a repeat function in an ERP system, no contract, no stock and no real-time stock, and an accurate data cannot be obtained every time the real-time stock is known. The materials are distributed in a plurality of OEM factories in different states, continuous data tracking is lacked, and potential hazards exist in asset safety; lack of timely data to support purchasing decision, lack of systematic management under the present situation, and need to invest in large communication cost and time; reasonable purchasing data cannot be calculated according to real-time capacity and real-time inventory of a factory. Therefore, a purchasing method that collects real-time data in time and calculates according to the real-time data is needed.
Disclosure of Invention
In view of the above, it is necessary to provide a PET purchasing model-based suggested purchasing quantity calculating method, apparatus, computer device and storage medium, which can calculate the suggested purchasing quantity according to a model algorithm of real-time inventory, operation data and related floating indexes.
A suggested purchase amount calculation method based on a PET procurement model, the method comprising:
acquiring the occupation material of the bottle blank end inventory, the monthly/ten-day production plan data and the occupation material of the bottle blank safety inventory;
calculating according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material to obtain the bottle blank raw material demand;
acquiring total raw material account surface settlement data, PET material safety stock demand and adjusting parameters;
calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameters; wherein the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season;
acquiring the balance of the PET account of a factory and the daily capacity of a corresponding filling factory to be converted into the consumption of the PET;
and calculating to obtain the available days of the excess materials of the factory according to the PET account balance of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory, and judging whether the factory is short of the materials or not according to the calculation result.
In one embodiment, the step of calculating the required amount of the bottle embryo raw material according to the bottle embryo end-term inventory occupancy, the monthly/ten-day production plan data and the bottle embryo safety inventory occupancy comprises:
bottle blank raw material demand, namely bottle blank end stock occupation material-month/ten-day production plan data-bottle blank safety stock occupation material;
if the calculated required quantity of the bottle blank raw materials is negative, the bottle blank raw materials are in short supply, and positive numbers are in abundant supply.
In one embodiment, the step of calculating a suggested repeat demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjustment parameter includes:
the recommended batch demand is × regulating parameters (total raw material account settlement-bottle blank raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
if the calculated recommended batch repeat demand is negative, the material shortage is represented, and the positive number is abundant.
In one embodiment, the step of calculating the number of available days of the plant residue according to the plant PET account balance and the corresponding daily capacity of the filling plant, which is converted into PET consumption, comprises the following steps:
the available days of the excess materials in the factory are the balance of the PET account in the factory/the daily capacity of the corresponding filling factory is converted into the consumption of the PET;
and if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch reply demand according to the measuring and calculating model.
A suggested purchase amount calculation apparatus based on a PET procurement model, the apparatus comprising:
the first acquisition module is used for acquiring the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material;
the first calculation module is used for calculating the bottle blank raw material demand according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material;
the second acquisition module is used for acquiring total raw material account settlement data, PET material safety stock demand and adjusting parameters;
the second calculation module is used for calculating a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameter; wherein the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season;
the third acquisition module is used for acquiring the PET account balance of a factory and the daily capacity of a corresponding filling factory to be converted into the consumption of PET;
and the third calculation module is used for calculating the number of available days of excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to daily capacity of the filling factory to obtain the number of available days of the excess materials of the factory and judging whether the factory is short of the materials or not according to the calculation result.
In one embodiment, the first calculation module is specifically configured to:
bottle blank raw material demand, namely bottle blank end stock occupation material-month/ten-day production plan data-bottle blank safety stock occupation material;
if the calculated required quantity of the bottle blank raw materials is negative, the bottle blank raw materials are in short supply, and positive numbers are in abundant supply.
In one embodiment, the second calculation module is specifically configured to:
the recommended batch demand is × regulating parameters (total raw material account settlement-bottle blank raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
if the calculated recommended batch repeat demand is negative, the material shortage is represented, and the positive number is abundant.
In one embodiment, the third computing module is specifically configured to:
the available days of the excess materials in the factory are the balance of the PET account in the factory/the daily capacity of the corresponding filling factory is converted into the consumption of the PET;
and if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch reply demand according to the measuring and calculating model.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of any of the above methods when executing the computer program.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of any of the methods described above.
According to the proposed purchase amount calculation method, the proposed purchase amount calculation device, the computer equipment and the storage medium based on the PET purchase model, the bottle blank raw material demand can be calculated according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material; calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameters; the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season; and calculating the available days of the excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory to obtain the available days of the excess materials of the factory, and judging whether the factory is short of the materials or not according to the calculation result. The method and the device can calculate and calculate the recommended purchasing amount according to the model algorithm of real-time inventory, operation data and related floating indexes, and improve the purchasing decision efficiency. In addition, the national data are uniform in time point, the data model is provided for measuring, calculating and suggesting the purchase quantity, and powerful system support is provided for PET purchase decision making.
Drawings
FIG. 1 is a schematic flow chart diagram illustrating a proposed purchase amount calculation method based on a PET procurement model in one embodiment;
FIG. 2 is a schematic flow chart illustrating a proposed purchase amount calculation method based on the PET procurement model in another embodiment;
FIG. 3 is a flowchart illustrating a proposed purchase amount calculation method based on a PET procurement model according to still another embodiment;
FIG. 4 is a flow chart illustrating a proposed purchase amount calculation method based on the PET procurement model in yet another embodiment;
FIG. 5 is a block diagram showing a proposed purchase amount calculating apparatus based on the PET purchase model according to an embodiment;
FIG. 6 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, there is provided a suggested purchase amount calculation method based on PET procurement model, the method including:
102, acquiring the occupation material of the bottle blank end inventory, monthly/ten-day production plan data and the occupation material of the bottle blank safety inventory;
104, calculating according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material to obtain the bottle blank raw material demand;
106, acquiring total raw material account settlement data, PET material safety stock demand and adjusting parameters;
108, calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameter; the adjusting parameters are used for weighting the calculation results according to the high-demand season or the off-season;
step 110, acquiring the balance of the PET account of a factory and the daily capacity of a corresponding filling factory to be converted into the consumption of the PET;
and 112, calculating to obtain the number of available days of the excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory, and judging whether the factory is short of the materials or not according to the calculation result.
The embodiment provides a proposed purchase amount calculation method based on a PET purchasing model, which can be applied to a computer, and the efficiency of purchasing decision can be effectively improved through the powerful calculation function of the computer, and the specific calculation process is as follows:
bottle embryo demand [ [ bottle embryo end stock account for material (ton) ] -month/ten-day production plan (ton) ] -bottle embryo safety stock account for material (ton) ]. Wherein, the bottle blank demand is negative number representing shortage of material, and positive number representing abundance.
The recommended repeat demand is negative for stock shortage and positive for stock abundance × adjustment parameter for percentage enlargement or reduction in the calculated results, e.g., 120% for the peak season month and 80% for the off season month.
The available days of the residual materials in the factory are equal to the financial balance of the PET account in the factory/the daily output energy of the corresponding filling factory is equal to the consumption of the PET. And if the value of the available days of the excess materials of the factory is less than or equal to 10, indicating that the factory is short of materials, and calculating the batch and return demand according to the measuring and calculating model.
In this embodiment, the required amount of the bottle blank raw material can be calculated according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material; calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameters; the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season; and calculating the available days of the excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory to obtain the available days of the excess materials of the factory, and judging whether the factory is short of the materials or not according to the calculation result. The proposal realizes that the proposed purchasing amount can be calculated according to the model algorithm of real-time inventory, operation data and relevant floating indexes, and improves the efficiency of purchasing decision. In addition, the national data are uniform in time point, the data model is provided for measuring, calculating and suggesting the purchase quantity, and powerful system support is provided for PET purchase decision making.
In one embodiment, as shown in fig. 2, a proposed purchase amount calculation method based on PET purchasing model is provided, in which the step of calculating the required amount of bottle embryo raw material according to the bottle embryo end inventory occupancy, month/ten day production planning data and bottle embryo safety inventory occupancy comprises:
step 202, the bottle blank raw material demand is bottle blank end stock accounting-month/ten-day production plan data-bottle blank safety stock accounting;
and step 204, if the calculated demand quantity of the bottle blank raw materials is a negative number, the bottle blank raw materials are in shortage, and a positive number represents the bottle blank raw materials are in abundance.
In one embodiment, as shown in fig. 3, a proposed purchase amount calculation method based on PET purchasing model is provided, in which the step of calculating a proposed repeat demand amount according to the total raw material account settlement data, the bottle blank raw material demand amount, the PET material safety stock demand amount and the adjustment parameter includes:
step 302, suggesting × regulating parameters of batch demand (total raw material account settlement-bottle embryo raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
and step 304, if the calculated recommended repeat request quantity is a negative number, the material shortage is represented, and a positive number represents the abundance.
In the present embodiment, the above calculation process is exemplified.
The production plan of various bottle blank specifications of Guangzhou letter union (injection plant) in July is as follows:
Figure BDA0002419097040000061
june production plan (ton): 108+182.4+280.8+302.4 ═ 873.6
The Guangzhou letter union (embryo injection plant) has the following requirements for safety stock of various bottle embryo specifications:
Figure BDA0002419097040000071
bottle embryo safety stock accounts for material (ton): 1526 +380+780+216 ═ 105 ═ 380
Given the Guangzhou Federation PET stock safety requirement (ton): 500
The current stock of various bottle blank specifications of Guangzhou letter union (embryo injection plant) is as follows:
Figure BDA0002419097040000072
end stock of bottle embryo accounts for material (ton): 4.5+15.2+7.8+10.8 ═ 38.3
If the Guangzhou letter Union Total raw materials (PET) account is 1000
The bottle blank demand (bottle blank end stock account material (ton) -month/ten-day production plan (ton) -bottle blank safety stock account material (ton) (-38.3-873.6-1526) -2361.3 negative number represents material shortage, and positive number represents abundance.
In busy seasons, the recommended batch demand (total raw material (PET) account stock-bottle preform raw material demand) -PET stock safety demand) × parameter (1000- | 2361.3| -500) × 120% — 1033.56 negative number represents shortage, and positive number represents abundance.
In slack seasons, the recommended batch demand (total raw material (PET) account stock-bottle blank raw material demand) -PET material safety stock demand) × parameter (1000- | 2361.3| -500) × 80% — 689.04 negative number represents material shortage, and positive number represents abundance.
In one embodiment, as shown in fig. 4, a proposed purchase amount calculation method based on PET purchasing model is provided, in which the step of calculating the number of days available for the plant remainder according to the plant PET account balance and the corresponding daily capacity of the filling plant, which is equivalent to the PET consumption amount, comprises:
step 402, converting the available days of the factory excess materials into the factory PET account balance/the daily output energy of the corresponding filling factory into the consumption of PET;
and step 404, if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch and return demand according to the measuring and calculating model.
In the present embodiment, the above calculation process is exemplified.
The filling daily output of various bottle blank specifications of Guangzhou letter union (filling plant) in July is as follows:
Figure BDA0002419097040000081
the available days of the residual materials in the factory are equal to the financial account balance of PET in the factory/the daily capacity of the corresponding filling factory is equal to 1000/(4.5+5.7+15.6+86.4) equal to 8.9. If the value of the number of available days of the excess materials is less than or equal to 10, indicating that the factory is short of materials, and calculating the batch and repeat demand according to the measuring and calculating model.
In the embodiment, the suggested purchasing amount is measured and calculated according to the model algorithm of the real-time inventory, the operation data and the related floating indexes, and the purchasing decision efficiency is improved. The national data are unified, the time points are uniform, the data model is provided for measuring, calculating and suggesting the purchase quantity, and powerful system support is provided for PET purchase decision making.
It should be understood that although the various steps in the flow charts of fig. 1-4 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-4 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 5, there is provided a suggested purchase amount calculation apparatus 500 based on PET procurement model, the apparatus including:
a first obtaining module 501, configured to obtain a bottle blank end stock occupation material, monthly/ten-day production plan data, and a bottle blank safety stock occupation material;
a first calculating module 502, configured to calculate a bottle blank raw material demand according to the bottle blank end stock occupation material, the monthly/ten-day production plan data, and the bottle blank safety stock occupation material;
a second obtaining module 503, configured to obtain total raw material account settlement data, a PET material safety stock demand, and an adjustment parameter;
a second calculating module 504, configured to calculate a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand, and the adjustment parameter; wherein the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season;
a third obtaining module 505, configured to obtain PET account balance of a factory and PET consumption corresponding to daily capacity of a filling plant;
and a third calculating module 506, configured to calculate, according to the factory PET account balance and the PET consumption amount reduced by the daily output energy of the corresponding filling plant, the number of days available for the factory excess material, and determine whether the factory is in short supply according to the calculation result.
In one embodiment, the first calculation module 502 is specifically configured to:
bottle blank raw material demand, namely bottle blank end stock occupation material-month/ten-day production plan data-bottle blank safety stock occupation material;
if the calculated required quantity of the bottle blank raw materials is negative, the bottle blank raw materials are in short supply, and positive numbers are in abundant supply.
In one embodiment, the second calculation module 504 is specifically configured to:
the recommended batch demand is × regulating parameters (total raw material account settlement-bottle blank raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
if the calculated recommended batch repeat demand is negative, the material shortage is represented, and the positive number is abundant.
In one embodiment, the third calculation module 506 is specifically configured to:
the available days of the excess materials in the factory are the balance of the PET account in the factory/the daily capacity of the corresponding filling factory is converted into the consumption of the PET;
and if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch reply demand according to the measuring and calculating model.
The specific definition of the proposed purchase amount calculation device based on the PET purchase model can be referred to the above definition of the proposed purchase amount calculation method based on the PET purchase model, and is not described herein again.
In one embodiment, a computer device is provided, the internal structure of which may be as shown in FIG. 6. The computer apparatus includes a processor, a memory, and a network interface connected by a device bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The nonvolatile storage medium stores an operating device, a computer program, and a database. The internal memory provides an environment for the operation device in the nonvolatile storage medium and the execution of the computer program. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a proposed purchase amount calculation method based on a PET procurement model.
Those skilled in the art will appreciate that the architecture shown in fig. 6 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method embodiments when executing the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the above respective method embodiments.
It will be understood by those of ordinary skill in the art that all or a portion of the processes of the methods of the embodiments described above may be implemented by a computer program that may be stored on a non-volatile computer-readable storage medium, which when executed, may include the processes of the embodiments of the methods described above, wherein any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A proposed purchase amount calculation method based on a PET procurement model, characterized by comprising:
acquiring the occupation material of the bottle blank end inventory, the monthly/ten-day production plan data and the occupation material of the bottle blank safety inventory;
calculating according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material to obtain the bottle blank raw material demand;
acquiring total raw material account surface settlement data, PET material safety stock demand and adjusting parameters;
calculating to obtain a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameters; wherein the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season;
acquiring the balance of the PET account of a factory and the daily capacity of a corresponding filling factory to be converted into the consumption of the PET;
and calculating to obtain the available days of the excess materials of the factory according to the PET account balance of the factory and the consumption of the PET corresponding to the daily capacity of the filling factory, and judging whether the factory is short of the materials or not according to the calculation result.
2. The method of claim 1, wherein the step of calculating the required amount of bottle preform material according to the bottle preform end-of-term inventory occupancy, monthly/ten-day production planning data and bottle preform safety inventory occupancy comprises:
bottle blank raw material demand, namely bottle blank end stock occupation material-month/ten-day production plan data-bottle blank safety stock occupation material;
if the calculated required quantity of the bottle blank raw materials is negative, the bottle blank raw materials are in short supply, and positive numbers are in abundant supply.
3. The method of claim 2, wherein the step of calculating the proposed repeat request according to the total raw material account data, the bottle blank raw material demand, the PET material safety stock demand and the adjustment parameters comprises:
the recommended batch demand is × regulating parameters (total raw material account settlement-bottle blank raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
if the calculated recommended batch repeat demand is negative, the material shortage is represented, and the positive number is abundant.
4. The method for calculating the proposed purchase amount based on the PET purchasing model as claimed in claim 3, wherein the step of calculating the number of days available for the factory residue according to the factory PET account balance and the corresponding daily capacity reduced PET consumption of the filling factory comprises:
the available days of the excess materials in the factory are the balance of the PET account in the factory/the daily capacity of the corresponding filling factory is converted into the consumption of the PET;
and if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch reply demand according to the measuring and calculating model.
5. A suggested purchase amount calculation apparatus based on a PET procurement model, characterized by comprising:
the first acquisition module is used for acquiring the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material;
the first calculation module is used for calculating the bottle blank raw material demand according to the bottle blank end stock occupation material, the monthly/ten-day production plan data and the bottle blank safety stock occupation material;
the second acquisition module is used for acquiring total raw material account settlement data, PET material safety stock demand and adjusting parameters;
the second calculation module is used for calculating a suggested batch demand according to the total raw material account settlement data, the bottle blank raw material demand, the PET material safety stock demand and the adjusting parameter; wherein the adjusting parameters are used for weighting the calculation results according to the high-season or the off-season;
the third acquisition module is used for acquiring the PET account balance of a factory and the daily capacity of a corresponding filling factory to be converted into the consumption of PET;
and the third calculation module is used for calculating the number of available days of excess materials of the factory according to the account balance of the PET of the factory and the consumption of the PET corresponding to daily capacity of the filling factory to obtain the number of available days of the excess materials of the factory and judging whether the factory is short of the materials or not according to the calculation result.
6. The PET procurement model-based proposed purchase amount calculation apparatus of claim 5, characterized in that the first calculation module is specifically configured to:
bottle blank raw material demand, namely bottle blank end stock occupation material-month/ten-day production plan data-bottle blank safety stock occupation material;
if the calculated required quantity of the bottle blank raw materials is negative, the bottle blank raw materials are in short supply, and positive numbers are in abundant supply.
7. The PET procurement model-based proposed purchase amount calculation apparatus of claim 6, characterized by, the second calculation module is specifically configured to:
the recommended batch demand is × regulating parameters (total raw material account settlement-bottle blank raw material demand) -PET material safety stock demand), wherein the regulating parameter of the peak season month is more than 1, and the regulating parameter of the off season month is less than 1;
if the calculated recommended batch repeat demand is negative, the material shortage is represented, and the positive number is abundant.
8. The PET procurement model-based proposed purchase amount calculation apparatus of claim 7 characterized by, the third calculation module is specifically configured to:
the available days of the excess materials in the factory are the balance of the PET account in the factory/the daily capacity of the corresponding filling factory is converted into the consumption of the PET;
and if the calculated value of the available days of the excess materials of the factory is less than or equal to 10, judging that the shortage of the materials of the factory needs to calculate the recommended batch reply demand according to the measuring and calculating model.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 4 are implemented when the computer program is executed by the processor.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 4.
CN202010200207.9A 2020-03-20 2020-03-20 Method and device for calculating suggested purchase amount based on PET purchase model Active CN111415040B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010200207.9A CN111415040B (en) 2020-03-20 2020-03-20 Method and device for calculating suggested purchase amount based on PET purchase model

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010200207.9A CN111415040B (en) 2020-03-20 2020-03-20 Method and device for calculating suggested purchase amount based on PET purchase model

Publications (2)

Publication Number Publication Date
CN111415040A true CN111415040A (en) 2020-07-14
CN111415040B CN111415040B (en) 2023-04-18

Family

ID=71491335

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010200207.9A Active CN111415040B (en) 2020-03-20 2020-03-20 Method and device for calculating suggested purchase amount based on PET purchase model

Country Status (1)

Country Link
CN (1) CN111415040B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112734082A (en) * 2020-12-17 2021-04-30 北京中智软创信息技术有限公司 Inventory prediction method

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040098321A1 (en) * 2002-11-15 2004-05-20 Liu Zhexiong Integrated inventory management system and method
CN101276439A (en) * 2007-03-30 2008-10-01 上海宝信软件股份有限公司 Bulk material resource centralized overall planning balance optimizing emulation method and system
JP2018083379A (en) * 2016-11-25 2018-05-31 ファナック株式会社 Injection Molding Management System
CN109740793A (en) * 2018-11-29 2019-05-10 杭州览众数据科技有限公司 A kind of inventory optimization method based on the distribution of probability demand
CN110458347A (en) * 2019-07-30 2019-11-15 深圳市天维思信息技术有限公司 Fast food product replenishing method, terminal and computer readable storage medium

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040098321A1 (en) * 2002-11-15 2004-05-20 Liu Zhexiong Integrated inventory management system and method
CN101276439A (en) * 2007-03-30 2008-10-01 上海宝信软件股份有限公司 Bulk material resource centralized overall planning balance optimizing emulation method and system
JP2018083379A (en) * 2016-11-25 2018-05-31 ファナック株式会社 Injection Molding Management System
CN109740793A (en) * 2018-11-29 2019-05-10 杭州览众数据科技有限公司 A kind of inventory optimization method based on the distribution of probability demand
CN110458347A (en) * 2019-07-30 2019-11-15 深圳市天维思信息技术有限公司 Fast food product replenishing method, terminal and computer readable storage medium

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112734082A (en) * 2020-12-17 2021-04-30 北京中智软创信息技术有限公司 Inventory prediction method

Also Published As

Publication number Publication date
CN111415040B (en) 2023-04-18

Similar Documents

Publication Publication Date Title
Feng et al. Solution sensitivity-based scenario reduction for stochastic unit commitment
Pritchard et al. A single-settlement, energy-only electric power market for unpredictable and intermittent participants
JP5248372B2 (en) Power generation plan creation method, device, program, and storage device
CN112101637B (en) Dynamic charging optimization method based on time-of-use electricity price and energy consumption control and application thereof
Hajibandeh et al. Prioritizing the effectiveness of a comprehensive set of demand response programs on wind power integration
CN115936260B (en) Virtual power plant user energy storage scheduling method and device, electronic equipment and storage medium
CN112132309B (en) Electricity purchasing optimization method and system for electricity selling company under renewable energy power generation quota system
WO2012101656A2 (en) A system and method for electricity price forecasting
CN115600793A (en) Cooperative control method and system for source network load and storage integrated park
CN113610296B (en) Method for predicting peak value of electrical load in region and method for planning investment of power grid
CN111415040A (en) Method and device for calculating suggested purchase amount based on PET purchase model
CN117829881A (en) Charging and discharging and electricity changing optimization method of electricity changing station, storage medium and terminal equipment
CN113869556A (en) Power consumption prediction method, device and equipment
CN107025610B (en) Data center cost optimization method
CN110968947A (en) Virtual power plant scheduling method, device and system
CN114498702B (en) Micro-grid energy management method and system based on energy router
Hobbs et al. Using probabilistic solar power forecasts to inform flexible ramp product procurement for the California ISO
CN112633771B (en) Power resource numerical value calculation method, device, computer equipment and storage medium
CN112330017A (en) Power load prediction method, power load prediction device, electronic device, and storage medium
CN113570164A (en) Method and storage medium for predicting demand response potential of industrial user
CN112966854A (en) User side energy storage device configuration method and device, computer equipment and storage medium
CN112734277A (en) Multi-level modeling method for demand side response resources with information physical fusion
CN114649820B (en) Multi-link capacity allocation method and system for wind-solar energy storage station
US20240097444A1 (en) Hybrid system and method for distributed virtual power plants integrated intelligent net zero
Van Horn The comparative economic assessment of the impacts of energy storage and demand response resource participation in the day-ahead electricity markets

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CB03 Change of inventor or designer information
CB03 Change of inventor or designer information

Inventor after: Liu Ling

Inventor after: Deng Liumengzi

Inventor after: Ou Ruijun

Inventor after: Liang Huafeng

Inventor before: Liu Ling

Inventor before: Deng Liumengzi

Inventor before: Ou Ruijian

Inventor before: Liang Huafeng