CN117495062A - ERP management system and method - Google Patents

ERP management system and method Download PDF

Info

Publication number
CN117495062A
CN117495062A CN202410003778.1A CN202410003778A CN117495062A CN 117495062 A CN117495062 A CN 117495062A CN 202410003778 A CN202410003778 A CN 202410003778A CN 117495062 A CN117495062 A CN 117495062A
Authority
CN
China
Prior art keywords
profit
product
time interval
expected
order
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
CN202410003778.1A
Other languages
Chinese (zh)
Other versions
CN117495062B (en
Inventor
石林岩
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.)
Shandong Yuepeng Intelligent Technology Co ltd
Original Assignee
Shandong Yuepeng Intelligent Technology 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 Shandong Yuepeng Intelligent Technology Co ltd filed Critical Shandong Yuepeng Intelligent Technology Co ltd
Priority to CN202410003778.1A priority Critical patent/CN117495062B/en
Publication of CN117495062A publication Critical patent/CN117495062A/en
Application granted granted Critical
Publication of CN117495062B publication Critical patent/CN117495062B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311—Scheduling, planning or task assignment for a person or group
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Development Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Data Mining & Analysis (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The utility model provides an erp management system and method, belong to the technical field of enterprise management software, a problem that there is deployment resource waste in being used for solving the related art in the erp management system, in this system and method, data acquisition module one-to-one corresponds the product line setting, but profit calculation module's quantity is less than product line quantity, adopt calculation control module control profit calculation module and data acquisition module's linking, so can practice thrift the deployment resource of the erp management system, be favorable to the lightweight of the erp management system, can ensure the timely monitoring calculation of every product line expected profit value again.

Description

ERP management system and method
Technical Field
The present disclosure relates to the field of enterprise management software, and in particular, to an erp management system and method.
Background
An erp management system is one of the commonly used enterprise management software. The erp management system can provide decision operation means for an enterprise decision-making layer and staff based on information technology and a systematic management thought.
In a specific working process of the erp management system, each product line of an enterprise can carry out production planning of corresponding products according to order quantity, and profit value of each product line is calculated in real time. The erp system typically calculates the profit value for each product line on a regular basis and prompts the enterprise decision-making layer to periodically look at the profit value for each product line in order to make relevant decisions for the product line.
In general, the order quantity collection, the production planning and the profit value calculation of each product line of the erp management system are independent, which occupies the deployment resources of the erp management system, and if the number of the product lines of the enterprise is large, a great deal of waste of the deployment resources of the erp management system is caused.
Disclosure of Invention
The application provides an erp management system and method, which can save deployment resources of the erp management system.
In a first aspect, the present application provides an erp management system. The system comprises a data acquisition module, a profit calculation module and a calculation control module;
the data acquisition module is arranged in one-to-one correspondence with the product line and is used for acquiring a set profit value of a product of the corresponding product line, the product quantity of an order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
the profit calculation modules are multiple, the number of the profit calculation modules is smaller than that of the data acquisition modules, and the profit calculation modules are used for being linked to the data acquisition modules so as to calculate expected profit values of the product line according to the established profit values of the corresponding product line of the linked data acquisition modules, the product quantity of an order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
the calculation control module is used for controlling the linking of the profit calculation module and the data acquisition module according to the expected profit value of the product line.
Through adopting above-mentioned technical scheme, data acquisition module one-to-one corresponds the product line setting, but the quantity of profit calculation module is less than product line quantity, adopts calculation control module control profit calculation module and data acquisition module's link, so can practice thrift the deployment resource of erp management system, be favorable to the lightweight of erp management system, can ensure the timely monitoring calculation of every product line expected profit value again.
Further, the profit calculation module is further configured to calculate the expected profit valueThe calculation method comprises the following steps:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,in order to be a stock quantity of the product,for the intended throughput of the product,for the pre-acquired risk factor(s),。
further, the data acquisition module is further configured to: acquiring a history order record of a corresponding product line product, wherein the history order record comprises the product quantity of a history order and the signing time of the history order;
the number of risk levels is calculated and,wherein F is the number of risk stages,product quantity for the pre-acquired expected order;
substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient;
the method for calculating the expected order product quantity comprises the following steps:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders;
the method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,for the predicted time of issuance for the ith intent order, T is the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
further, the computing control module is further configured to:
when a profit calculation module is linked to a data acquisition module and the calculation of expected profit values of the product lines is completed, acquiring a specified number of historical expected profit values of the product lines corresponding to the data acquisition module before the moment;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
calculating profit change speed according to the profit change value;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
calculating an expected time interval;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be equal to the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
and controlling the linking of the profit calculation module and the data acquisition module according to the linking time interval, and controlling the idle profit calculation module to link with the data acquisition module after the linking time interval at the moment.
Further, the computing control module is further configured to:
when calculating profit change speed, judging whether profit value change amounts are all greater than 0 or not greater than 0, if soIf otherwise->；
Calculating the desired time interval includes；
Where v is the profit change rate,for the desired profit value at that moment,for the first of a specified number of historic expected profit valuesOne of the two-dimensional space is provided with a plurality of channels,for the duration between this time and the time of occurrence of the history of the first one of the specified number of historic expected profit values,at the time of the preset speed, the speed is set to be the preset speed,for a profit margin amount greater than 0,a quantity of profit margin variation of not more than 0; g is the desired time interval for which,andthe upper limit and the lower limit of the profit level interval where the expected profit value at the moment is located are respectively defined.
In a second aspect, the present application provides an erp management method. The method is applied to an erp management system, and the erp management system comprises a data acquisition module, a profit calculation module and a calculation control module; the method comprises the following steps:
the method comprises the steps of collecting a set profit value of a product of each product line, the quantity of the product to be delivered, the inventory of the product and the planned production quantity of the product by utilizing a data collecting module arranged in a one-to-one correspondence to the product lines;
calculating an expected profit value of the product line using a plurality of profit calculation modules, the number of profit calculation modules being less than the number of data collection modules, the profit calculation modules being configured to link to the data collection modules to calculate the expected profit value of the product line based on the established profit value of the linked data collection modules for the product line, the quantity of the product to be delivered, the inventory quantity of the product, and the planned production quantity of the product;
and controlling the linkage of the calculation module and the data acquisition module according to the expected profit value of the product line by using the calculation control module.
Further, the calculation method of the expected profit value comprises the following steps:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,in order to be a stock quantity of the product,for the intended throughput of the product,for the pre-acquired risk factor(s),。
further, the method further comprises: acquiring a historical order record of a corresponding product line product by utilizing a data acquisition module, wherein the historical order record comprises the product quantity of a historical order and the signing time of the historical order;
calculating the risk coefficient according to the historical order record of the product line corresponding to the linked data acquisition module by utilizing a profit calculation module;
the number of risk levels is calculated and,wherein F is the number of risk stages,product quantity for the pre-acquired expected order;
substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient;
the method for calculating the expected order product quantity comprises the following steps:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders;
the method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,for the predicted time of issuance for the ith intent order, T is the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
further, the method further comprises:
when a profit calculation module is linked to a data acquisition module and the calculation of expected profit values of the product lines is completed, acquiring a specified number of historical expected profit values of the product lines corresponding to the data acquisition module before the moment;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
calculating profit change speed according to the profit change value;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
calculating an expected time interval;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be equal to the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
and controlling the linking of the profit calculation module and the data acquisition module according to the linking time interval, and controlling the idle profit calculation module to link with the data acquisition module after the linking time interval at the moment.
Further, in the method:
when calculating profit change speed, judging whether profit value change amounts are all greater than 0 or not greater than 0, if soIf otherwise->；
Calculating the desired time interval includes；
Where v is the profit change rate,for the desired profit value at that moment,for a first one of a specified number of historic expected profit values,for the duration between this time and the time of occurrence of the history of the first one of the specified number of historic expected profit values,at the time of the preset speed, the speed is set to be the preset speed,for a profit margin amount greater than 0,a quantity of profit margin variation of not more than 0; g is the desired time interval for which,andthe upper limit and the lower limit of the profit level interval where the expected profit value at the moment is located are respectively defined.
In summary, the present application at least comprises the following beneficial effects:
the system and the method for managing the erp can reduce the deployment of a profit calculation module, reasonably control the linking time of the profit calculation module and a data acquisition module through a calculation control module and ensure the effective monitoring of expected profit values.
It should be understood that the description in this summary is not intended to limit key or critical features of embodiments of the present application, nor is it intended to be used to limit the scope of the present application. Other features of the present application will become apparent from the description that follows.
Drawings
The above and other features, advantages and aspects of embodiments of the present application will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, wherein like or similar reference numerals denote like or similar elements, in which:
fig. 1 shows a block diagram of an erp management system in an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
The application provides an erp management system and method, which can save deployment resources of the erp management system and ensure effective monitoring of profit values of each product line.
In a first aspect, the present application provides an erp management system.
Fig. 1 shows a block diagram of an erp management system in an embodiment of the present application.
Referring to fig. 1, the system includes a data acquisition module 110, a profit calculation module 120, and a calculation control module 130.
Wherein the data collection module 110 is configured to correspond to the product line one by one, and is configured to collect a set profit value of a product corresponding to the product line, a product amount of an order to be delivered, a stock amount of the product, and a planned production amount of the product; the profit calculation module 120 has a plurality, the number of the profit calculation modules 120 is smaller than the number of the data collection modules 110, the profit calculation module 120 is used for linking to the data collection modules 110 to calculate the expected profit value of the product line according to the established profit value of the corresponding product line of the linked data collection modules 110, the product quantity of the order to be delivered, the inventory quantity of the product and the planned production quantity of the product; the calculation control module 130 is used to control the linking of the profit calculation module 120 with the data acquisition module 110 according to the desired profit value of the product line. The calculation control module 130 has one.
Let n product lines of the enterprise have n >10, the number of data acquisition modules 110 is n, the number of profit calculation modules 120 has m, m < n, in general, m is between 0.2n and 0.8n, and the setting of m relates to the minimum link time interval between the profit calculation modules 120 and the data acquisition modules 110, which can be set according to specific monitoring requirements, in this embodiment, m=0.5n.
In the profit calculation module 120, the expected profit value is calculated in the following way:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,in order to be a stock quantity of the product,for the intended throughput of the product,for the pre-acquired risk factor(s),。
the expected profit value is used to calculate the profit that the product line is expected to be able to generate. The predetermined profit value refers to the total amount of profit for an order that has been delivered, which profit has occurred and can be considered fixed. The order to be delivered is signed, and the related profit can be obtained after the delivery is completed. Both the established profit and the profit of the order to be delivered can be considered as established profits, but the product is still in advance production, the sum of the product inventory and the product scheduling throughput must be greater than the product quantity to be delivered, the sum of the product inventory and the product scheduling throughput minus the product quantity of the order to be delivered is the advance throughput, and the profit of the advance throughput is a split risk, so that the split profit needs to be multiplied by a risk factor.
In the above, the planned production amount of the product is determined by the enterprise, and may be a fixed amount, or may be appropriately controlled within a range according to the production capacity, and may be a pre-obtained value.
How to reasonably determine the risk factors is described below.
In the embodiment of the application, the risk coefficient is calculated based on a historical order record of the product line. Specifically, the data collection module 110 is further configured to obtain a history order record of the corresponding product line product, where the history order record includes a product amount of the history order and a time of signing the history order.
The profit calculation module 120 is further configured to calculate the risk factor according to the historical order record of the product line corresponding to the linked data acquisition module 110.
In one example, a specific method of calculating the risk series is:wherein F is the number of risk stages,product quantity for the pre-acquired expected order; substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient.
The coefficient level comparison table is constructed based on enterprise experience data, and comprises a plurality of level ranges, wherein all the level ranges form all possible complete sets of risk levels, namely the risk levels fall in a certain level range. And setting a risk coefficient corresponding to each series range, so that the risk series can be substituted into the coefficient series comparison table to obtain a determined risk coefficient. The higher the risk level, the greater the corresponding risk coefficient and the less the corresponding actual risk may be.
In the above example, the method for calculating the product quantity of the pre-acquired expected order includes:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders.
The method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,for the predicted time of issuance for the ith intent order, T is the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
in this example, the time-affecting factor may be controlled between 0.1-0.9 to reasonably calculate the product volume of the intended order.
By combining the above, reasonable calculation of the risk coefficient can be realized.
How the calculation control module 130 implements the link control of the calculation module and the data acquisition module 110, for example, is described below.
When a profit computation module 120 is linked to a data collection module 110 and completes computation of the desired profit value for a product line, the computation control module 130 determines the time at which the product line needs to compute the desired profit value next time based on the expected profit value computed this time and the previously computed historical expected profit value for the product line.
Specifically, when a profit calculation module 120 is linked to a data collection module 110 and completes calculation of expected profit values for a product line, a specified number of historical expected profit values for the product line corresponding to the data collection module 110 before that time are obtained;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
judging whether the profit value variation amounts are all larger than 0 or not larger than 0, and calculating profit variation speed according to the profit value variation amount; if yesIf otherwise->Wherein v is profit change speed, < + >>For the desired profit value at that moment, +.>For specifying the first one of a number of historic expected profit values>For the duration between this moment and the moment of occurrence of the history of the first one of the specified number of historic expected profit values,/for>For a preset speed->Quantity of profit change greater than 0, < >>A quantity of profit margin variation of not more than 0;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
the desired time interval is calculated and,wherein G is a desired time interval, & lt/EN>Andthe upper limit and the lower limit of the profit level section where the expected profit value at the moment is located are respectively;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
the linking of the profit computation module 120 with the data collection module 110 is controlled according to the linking time interval, and after the linking time interval at that time, the idle profit computation module 120 is controlled to link with the data collection module 110.
In summary, the number of profit calculation modules 120 to be deployed in the erp management system can be reduced, and the calculation control module 130 is adopted to reasonably control the time for calculating the expected profit value of the product line by the profit calculation modules 120, so that the weight reduction of the erp management system is ensured, and the effective monitoring of the expected profit value of the product line is ensured.
In a second aspect, the present application provides an erp management method. The method is applied to an erp management system, wherein the erp management system comprises a data acquisition module 110, a profit calculation module 120 and a calculation control module 130; the method comprises the following steps:
the data acquisition module 110 arranged in a one-to-one correspondence with the product lines is used for acquiring a set profit value of the product of each product line, the product quantity of the order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
calculating a desired profit value for the product line using a plurality of profit calculation modules 120, the number of profit calculation modules 120 being less than the number of data collection modules 110, the profit calculation modules 120 being configured to link to the data collection modules 110 to calculate the desired profit value for the product line based on the established profit value for the product line for which the linked data collection modules 110 correspond, the quantity of product to be delivered, the inventory quantity of product, and the planned production quantity of product;
the link of the calculation module to the data acquisition module 110 is controlled by the calculation control module 130 according to the desired profit value of the product line.
Further, the calculation method of the expected profit value comprises the following steps:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,inventory for productsThe amount of the product is calculated,for the intended throughput of the product,for the pre-acquired risk factor(s),。
further, the method further comprises: acquiring a historical order record of the corresponding product line product by utilizing the data acquisition module 110, wherein the historical order record comprises the product quantity of the historical order and the signing time of the historical order;
calculating the risk coefficient according to the historical order record of the corresponding product line of the linked data acquisition module 110 by utilizing the profit calculation module 120;
the number of risk levels is calculated and,wherein F is the number of risk stages,product quantity for the pre-acquired expected order;
substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient;
the method for calculating the expected order product quantity comprises the following steps:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders;
the method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,for the predicted time of issuance for the ith intent order, T is the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
further, the method further comprises:
when a profit calculation module 120 is linked to a data collection module 110 and completes calculation of expected profit values for product lines, a specified number of historical expected profit values for the product lines corresponding to the data collection module 110 before the moment are obtained;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
judging whether the profit value variation amounts are all larger than 0 or not larger than 0, and calculating profit variation speed according to the profit value variation amount; if yesIf otherwise->Wherein v is profit change speed, < + >>For the desired profit value at that moment,/>for specifying the first one of a number of historic expected profit values>For the duration between this moment and the moment of occurrence of the history of the first one of the specified number of historic expected profit values,/for>For a preset speed->Quantity of profit change greater than 0, < >>A quantity of profit margin variation of not more than 0;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
the desired time interval is calculated and,wherein G is a desired time interval, & lt/EN>Andthe upper limit and the lower limit of the profit level section where the expected profit value at the moment is located are respectively;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
the linking of the profit computation module 120 with the data collection module 110 is controlled according to the linking time interval, and after the linking time interval at that time, the idle profit computation module 120 is controlled to link with the data collection module 110.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the described order of action, as some steps may be performed in other order or simultaneously according to the embodiments of the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described method steps may refer to corresponding procedures in the foregoing system embodiments, and are not described herein again.
In summary, the present application at least comprises the following beneficial effects:
an erp management system and method are provided, which can reduce the deployment of the profit computation module 120, and reasonably control the linking time of the profit computation module 120 and the data acquisition module 110 through the computation control module 130, thereby guaranteeing the effective monitoring of the expected profit value.
The foregoing description is only of the preferred embodiments of the present application and is presented as a description of the principles of the technology being utilized. It will be appreciated by persons skilled in the art that the scope of the disclosure referred to in this application is not limited to the specific combinations of features described above, but it is intended to cover other embodiments in which any combination of features described above or equivalents thereof is possible without departing from the spirit of the disclosure. Such as the above-described features and technical features having similar functions (but not limited to) disclosed in the present application are replaced with each other.

Claims (10)

1. An erp management system is characterized by comprising a data acquisition module (110), a profit calculation module (120) and a calculation control module (130);
the data acquisition module (110) is arranged in one-to-one correspondence with the product line and is used for acquiring a set profit value of a corresponding product line product, the product quantity of an order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
the profit calculation modules (120) are multiple, the number of the profit calculation modules (120) is smaller than the number of the data acquisition modules (110), the profit calculation modules (120) are used for being linked to the data acquisition modules (110) so as to calculate expected profit values of the product lines according to the established profit values of the corresponding product lines of the linked data acquisition modules (110), the product quantity of the order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
the calculation control module (130) is used for controlling the linking of the profit calculation module (120) and the data acquisition module (110) according to the expected profit value of the product line.
2. The system of claim 1, wherein the profit calculation module (120) is further configured to calculate the expected profit value by a method comprising:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,in order to be a stock quantity of the product,for the intended throughput of the product,for the pre-acquired risk factor(s),。
3. the system of claim 2, wherein the data acquisition module (110) is further configured to: acquiring a history order record of a corresponding product line product, wherein the history order record comprises the product quantity of a history order and the signing time of the history order;
the profit calculation module (120) is further configured to: calculating the risk coefficient according to the historical order record of the corresponding product line of the linked data acquisition module (110);
the number of risk levels is calculated and,wherein F is the number of risk stages,product quantity for the pre-acquired expected order;
substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient;
the method for calculating the expected order product quantity comprises the following steps:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders;
the method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,for the predicted time of issuance for the ith intent order, T is the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
4. a system according to claim 3, wherein the calculation control module (130) is further configured to:
when a profit calculation module (120) is linked to a data collection module (110) and the calculation of expected profit values of product lines is completed, a specified number of historical expected profit values of the corresponding product lines of the data collection module (110) before the moment is obtained;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
calculating profit change speed according to the profit change value;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
calculating an expected time interval;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be equal to the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
the linking of the profit computation module (120) to the data collection module (110) is controlled according to the linking time interval, and after the linking time interval at that moment, the idle profit computation module (120) is controlled to link to the data collection module (110).
5. The system of claim 4, wherein the computing control module (130) is further configured to:
when calculating profit change speed, judging whether profit value change amounts are all greater than 0 or not greater than 0, if soIf otherwise->；
Calculating the desired time interval includes；
Where v is the profit change rate,for the desired profit value at that moment,for a first one of a specified number of historic expected profit values,for the duration between this time and the time of occurrence of the history of the first one of the specified number of historic expected profit values,at the time of the preset speed, the speed is set to be the preset speed,for a profit margin amount greater than 0,a quantity of profit margin variation of not more than 0; g is the desired time interval for which,andthe upper limit and the lower limit of the profit level interval where the expected profit value at the moment is located are respectively defined.
6. An erp management method is characterized by being applied to an erp management system, wherein the erp management system comprises a data acquisition module (110), a profit calculation module (120) and a calculation control module (130); the method comprises the following steps:
a data acquisition module (110) arranged in a one-to-one correspondence with the product lines is used for acquiring a set profit value of the product of each product line, the product quantity of an order to be delivered, the inventory quantity of the product and the planned production quantity of the product;
calculating a desired profit value for the product line using a plurality of profit calculation modules (120), the number of profit calculation modules (120) being smaller than the number of data collection modules (110), the profit calculation modules (120) being configured to link to the data collection modules (110) to calculate the desired profit value for the product line based on the linked data collection modules (110) corresponding to the established profit value for the product line, the quantity of product to be delivered, the inventory quantity of the product, and the planned production quantity of the product;
the link of the calculation module to the data acquisition module (110) is controlled by the calculation control module (130) in accordance with the desired profit value of the product line.
7. The method of claim 6, wherein the method of calculating the expected profit value comprises:wherein E is a desired profit value,for a given profit value to be achieved,for the amount of product to be delivered to the order,is the profit per unit of the product,in order to be a stock quantity of the product,for the intended throughput of the product,for the pre-acquired risk factor(s),。
8. the method of claim 7, wherein the method further comprises: acquiring a historical order record of a corresponding product line product by utilizing a data acquisition module (110), wherein the historical order record comprises the product quantity of a historical order and the signing time of the historical order;
calculating the risk coefficient according to the historical order record of the corresponding product line of the linked data acquisition module (110) by utilizing a profit calculation module (120);
the number of risk levels is calculated and,wherein F is the number of risk stages,product quantity for the pre-acquired expected order;
substituting the risk series into a pre-acquired coefficient series comparison table to obtain the risk coefficient;
the method for calculating the expected order product quantity comprises the following steps:in the method, in the process of the invention,for the pre-fetched product volume of the intended order,for the product quantity of the ith intent order,for the intent rate of the ith intent order,the time influence coefficient of the ith intention order is given, and n is the number of the intention orders;
the method for calculating the time influence coefficient comprises the following steps:in the method, in the process of the invention,is the firsti predicted endorsement times for the intended orders, T being the current time,in order to set the time interval to be a predetermined time interval,for the reference time to be used,。
9. the method of claim 8, wherein the method further comprises:
when a profit calculation module (120) is linked to a data collection module (110) and the calculation of expected profit values of product lines is completed, a specified number of historical expected profit values of the corresponding product lines of the data collection module (110) before the moment is obtained;
the appointed number of historical expected profit values and the expected profit values at the moment are ordered from first to last according to time, and the appointed number of profit value variation is obtained according to the calculation mode that the previous value is subtracted from the next value in every two adjacent values;
calculating profit change speed according to the profit change value;
determining a profit level interval in which a desired profit value at the moment is located based on pre-constructed profit level data, the profit level data including a plurality of profit level intervals, each profit level interval including an interval lower limit and an interval upper limit;
calculating an expected time interval;
judging whether the expected time interval is in a time threshold range or not, wherein the time threshold range comprises a lower time interval limit and an upper time interval limit, if the expected time interval is in the time threshold range, enabling the link time interval to be equal to the expected time interval, if the expected time interval is smaller than the lower time interval limit, enabling the link time interval to be the lower time interval limit, and if the expected time interval is larger than the upper time interval limit, enabling the link time interval to be the upper time interval limit;
the linking of the profit computation module (120) to the data collection module (110) is controlled according to the linking time interval, and after the linking time interval at that moment, the idle profit computation module (120) is controlled to link to the data collection module (110).
10. The method according to claim 9, wherein in the method:
when calculating profit change speed, judging whether profit value change amounts are all greater than 0 or not greater than 0, if soIf otherwise->；
Calculating the desired time interval includes；
Where v is the profit change rate,for the desired profit value at that moment,for a first one of a specified number of historic expected profit values,for the duration between this time and the time of occurrence of the history of the first one of the specified number of historic expected profit values,at the time of the preset speed, the speed is set to be the preset speed,for a profit margin amount greater than 0,a quantity of profit margin variation of not more than 0; g is the desired time interval for which,andthe upper limit and the lower limit of the profit level interval where the expected profit value at the moment is located are respectively defined.
CN202410003778.1A 2024-01-03 2024-01-03 ERP management system and method Active CN117495062B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202410003778.1A CN117495062B (en) 2024-01-03 2024-01-03 ERP management system and method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202410003778.1A CN117495062B (en) 2024-01-03 2024-01-03 ERP management system and method

Publications (2)

Publication Number Publication Date
CN117495062A true CN117495062A (en) 2024-02-02
CN117495062B CN117495062B (en) 2024-03-29

Family

ID=89674723

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202410003778.1A Active CN117495062B (en) 2024-01-03 2024-01-03 ERP management system and method

Country Status (1)

Country Link
CN (1) CN117495062B (en)

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020165761A1 (en) * 2001-03-29 2002-11-07 Fujitsu Limited Daily delivered articles order optimization support system, method, and storage medium therefor
US20030126005A1 (en) * 2002-01-02 2003-07-03 Yi-Ming Liao Method of claiming obsolescence
KR20130134589A (en) * 2012-05-31 2013-12-10 현대중공업 주식회사 Method and system for constructing a material information in the ship
CN107038607A (en) * 2017-04-18 2017-08-11 北京思特奇信息技术股份有限公司 A kind of pricing method and system
CN108960696A (en) * 2017-05-23 2018-12-07 镇江杜微人才咨询有限公司 A kind of integrated approach of enterprise information management data
CN111242482A (en) * 2020-01-14 2020-06-05 杭州利鹏科技有限公司 ERP system capable of realizing intelligent production scheduling
KR20210049318A (en) * 2019-10-25 2021-05-06 주식회사 한시스템 Implemention method and system for an electroniccommerce through an enterprise resource planning orgroupware
CA3143827A1 (en) * 2020-12-28 2022-06-28 10353744 Canada Ltd. Fund data processing method, apparatus, computer device and storage medium
CN114792244A (en) * 2021-12-10 2022-07-26 杭州喵智科技有限公司 B-end intelligent pricing and pricing effect evaluation method and integrated system
CN115330468A (en) * 2022-10-13 2022-11-11 深圳美云集网络科技有限责任公司 Data processing method and related device
CN115526686A (en) * 2022-09-28 2022-12-27 深圳美云集网络科技有限责任公司 E-commerce ERP system with profit trial calculation function and computer equipment
CN115660295A (en) * 2022-12-27 2023-01-31 普德施(北京)科技有限公司 Supply chain management method and system for product full life cycle
CN116645033A (en) * 2023-06-02 2023-08-25 泉州市耀华信息技术有限公司 ERP inventory optimization analysis method and system based on big data
CN116883052A (en) * 2023-07-17 2023-10-13 河南全福网络科技有限公司 Sales management control system based on artificial intelligence

Patent Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020165761A1 (en) * 2001-03-29 2002-11-07 Fujitsu Limited Daily delivered articles order optimization support system, method, and storage medium therefor
US20030126005A1 (en) * 2002-01-02 2003-07-03 Yi-Ming Liao Method of claiming obsolescence
KR20130134589A (en) * 2012-05-31 2013-12-10 현대중공업 주식회사 Method and system for constructing a material information in the ship
CN107038607A (en) * 2017-04-18 2017-08-11 北京思特奇信息技术股份有限公司 A kind of pricing method and system
CN108960696A (en) * 2017-05-23 2018-12-07 镇江杜微人才咨询有限公司 A kind of integrated approach of enterprise information management data
KR20210049318A (en) * 2019-10-25 2021-05-06 주식회사 한시스템 Implemention method and system for an electroniccommerce through an enterprise resource planning orgroupware
CN111242482A (en) * 2020-01-14 2020-06-05 杭州利鹏科技有限公司 ERP system capable of realizing intelligent production scheduling
CA3143827A1 (en) * 2020-12-28 2022-06-28 10353744 Canada Ltd. Fund data processing method, apparatus, computer device and storage medium
CN114792244A (en) * 2021-12-10 2022-07-26 杭州喵智科技有限公司 B-end intelligent pricing and pricing effect evaluation method and integrated system
CN115526686A (en) * 2022-09-28 2022-12-27 深圳美云集网络科技有限责任公司 E-commerce ERP system with profit trial calculation function and computer equipment
CN115330468A (en) * 2022-10-13 2022-11-11 深圳美云集网络科技有限责任公司 Data processing method and related device
CN115660295A (en) * 2022-12-27 2023-01-31 普德施(北京)科技有限公司 Supply chain management method and system for product full life cycle
CN116645033A (en) * 2023-06-02 2023-08-25 泉州市耀华信息技术有限公司 ERP inventory optimization analysis method and system based on big data
CN116883052A (en) * 2023-07-17 2023-10-13 河南全福网络科技有限公司 Sales management control system based on artificial intelligence

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
MEIRYANI等: ""The Effect of Implementation of Enterprise Resource Planning System on Labor Productivity and Net Profit Margin"", 《ICEEG ’21》, 30 April 2021 (2021-04-30), pages 66 - 72 *
张晋莉: ""ERP系统中不稳定需求库存模型的研究"", 《南昌工程学院学报》, vol. 32, no. 04, 31 August 2013 (2013-08-31), pages 9 - 14 *
李晓琳 等: ""简析航天制造企业ERP系统应用与前景"", 《中国管理信息化》, vol. 22, no. 12, 15 June 2019 (2019-06-15), pages 68 - 69 *
李涛: ""基于ERP 系统的 内部经济责任审计体系的构建"", 《中国农业会计》, 31 December 2023 (2023-12-31), pages 67 - 70 *

Also Published As

Publication number Publication date
CN117495062B (en) 2024-03-29

Similar Documents

Publication Publication Date Title
Rommelfanger Fuzzy linear programming and applications
Yamin et al. Security-constrained optimal generation scheduling for GENCOs
CN113177761B (en) E-commerce storage intelligent scheduling early warning system considering timeliness
US20210073695A1 (en) Production scheduling system and method
CN107831685B (en) Group robot control method and system
Vandaele et al. Load-based POLCA: an integrated material control system for multiproduct, multimachine job shops
Cevikcan et al. A team-oriented design methodology for mixed model assembly systems
CN108197849A (en) A kind of intelligent worksheet processing system and worksheet processing method based on automation
CN111723334B (en) Power generation plan correction decision method and system based on safety distance sensitivity
CN108428114A (en) Information processing method and device, storage medium, the electronic device of project
Dieu et al. Improved merit order and augmented Lagrange Hopfield network for short term hydrothermal scheduling
CN104123587A (en) Method for steel production contract plan and multi-level inventory matching optimization under MTO-MTS management mode
CN116502830A (en) Scheduling plan generation method, scheduling plan generation system and scheduling plan generation product
KR20240025574A (en) System and method for managing bid based on intelligent demand response
CN117495062B (en) ERP management system and method
CN112784439A (en) Energy internet planning method and device based on discretization model
KR102233546B1 (en) Energy-saving production scheduling operation method and system for continuous batch lot-based heat treatment processes
Phruksaphanrat Preemptive possibilistic linear programming: Application to aggregate production planning
JP6917288B2 (en) Maintenance plan generation system
Nakase et al. A management design approach to a simple flexible assembly system
Johnson et al. Predictive efficiency analysis: a study of US hospitals
CN109213816A (en) A method of early warning analysis is carried out based on the electric network data obtained in real time
CN118428909B (en) Intelligent management system for text travel construction based on big data
JP4544844B2 (en) Production planning system
CN118134223B (en) Product scheduling method, electronic equipment and storage medium

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