CN110428178B - ERP management system suitable for solid waste treatment industry - Google Patents
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Abstract
The invention discloses an ERP management system applicable to solid waste treatment industry, which comprises a data acquisition module, a data exchange module, a database, a data analysis module, a controller, a signal processing module, a data recording module, a registration interconnection module, a cargo volume analysis module and a personnel allocation module; the invention combines the mixing quantity condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, obtains the profit condition of each solid waste according to the formula analysis of correction and assignment so as to establish the later production and purchase plan, then respectively calls the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the profit condition according to various profit signals corresponding to the profit condition, and performs the data analysis together with the inventory condition of various reaction auxiliary agents to obtain the subsequent purchase condition of various reaction auxiliary agents so as to accurately provide a targeted purchase strategy and establish a dynamic coordination feedback mechanism for ordering by sale and storing fixed production.
Description
Technical Field
The invention relates to the technical field of ERP management systems, in particular to an ERP management system suitable for solid waste treatment industry.
Background
The solid waste treatment refers to an implementation process of converting solid waste into a substance suitable for transportation, storage, disposal or recycling by using a physical, chemical, biological, physical, chemical or biochemical method, and the final treatment target of the solid waste is harmlessness, reduction and recycling.
In the document with the publication number of CN109409704A, the task amount is formulated only according to the actual situation of the staff, and the task amount of each working day is tracked in real time to improve the working efficiency of the staff; the method is combined with the existing ERP management system applicable to the solid waste treatment industry, so that the mixing quantity condition of various reaction auxiliary agents and each solid waste is still difficult to be combined with the cost condition and the selling price condition, and after the formula analysis of correction and assignment, the to-be-treated condition and the pre-shipment condition of each solid waste associated with different profit conditions are fused with the inventory condition of various reaction auxiliary agents together for treatment, so that a targeted purchasing strategy is accurately provided, and a dynamic coordination feedback mechanism for selling orders and storing products is established; and moreover, the cargo quantity information and the order information of the warehouse are difficult to combine, and after being subjected to weighting analysis, the information is comprehensively processed with the working information of the staff, so that a reasonable personnel allocation scheme can be provided through the cargo condition and the working condition.
In order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to provide an ERP management system applicable to solid waste treatment industry, which combines the mixing amount condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, obtains the profit condition of each solid waste according to the formula analysis of correction and assignment so as to establish a later production and purchase plan, respectively calls the to-be-treated condition and the pre-shipment condition of each solid waste corresponding to the profit condition according to various profit signals corresponding to the profit condition, performs data analysis together with the inventory condition of various reaction auxiliary agents so as to obtain the subsequent purchase condition of various reaction auxiliary agents, accurately provides a targeted purchase strategy, and establishes a dynamic coordination feedback mechanism for ordering by sale and storing fixed production;
the invention firstly calibrates and weightedly analyzes the cargo quantity information and the order information together to obtain the cargo quantity flow coefficient of each warehouse, then comprehensively processes the cargo quantity flow coefficient and the work information of the staff, calibrates and assigns the work information to obtain the deployment fit coefficient between each warehouse and each staff, and further provides a reasonable staff deployment scheme according to the cargo condition and the work condition, thereby greatly improving the adaptability and rationality of staff deployment.
The technical problems to be solved by the invention are as follows:
(1) how to combine the mixing amount condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, and after the formula analysis of correction and assignment, the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions are fused with the inventory condition of various reaction auxiliary agents together for processing, so as to accurately provide a targeted purchasing strategy;
(2) how to combine the goods quantity information and the order information of the warehouse, and after the weight analysis, the combination is comprehensively processed with the working information of the staff, so as to provide a reasonable personnel allocation scheme according to the goods condition and the working condition.
The purpose of the invention can be realized by the following technical scheme:
an ERP management system applicable to solid waste treatment industry comprises a data acquisition module, a data exchange module, a database, a data analysis module, a controller, a signal processing module, a data recording module, a registration interconnection module, a cargo volume analysis module and a personnel allocation module;
the data acquisition module is used for acquiring mixed quantity data of various reaction auxiliaries added into each solid waste in real time and transmitting the mixed quantity data to the data exchange module, the various reaction auxiliaries comprise various biological auxiliaries, various physical auxiliaries, various chemical auxiliaries and the like, and each solid waste comprises steel solid waste, plastic solid waste, paper solid waste and the like;
the data exchange module calls cost data corresponding to various reaction aids and selling price data corresponding to each solid waste from the database according to the data, and transmits the cost data and the selling price data to the data analysis module together, and the cost data of various reaction aids and the selling price data of each solid waste in the database are pre-recorded;
the data analysis module carries out profit analysis operation on the mixed quantity data of various reaction aids added into each solid waste, the cost data corresponding to the various reaction aids and the selling price data corresponding to each solid waste together to obtain a high profit signal and a low profit signal in a first time period, and the high profit signal and the low profit signal are transmitted to the signal processing module together with the mixed quantity data of various reaction aids added into each solid waste in the first time period through the controller;
the signal processing module is used for respectively calling the data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to the data recording module from the data recording module according to the high-profit signal and the low-profit signal, the data recording module is used for recording the data of the amount to be processed and the pre-shipment amount of each solid waste and the stock data of various reaction assistants in real time, transmitting the stock data of various reaction assistants to the signal processing module, and performing signal analysis operation together according to the signal processing module to obtain the purchasing coefficient Fa of various reaction assistants in the second time period and transmitting the purchasing coefficient Fa to the registration interconnection module;
the registration interconnection module is used for orderly arranging the purchasing coefficients Fa of various reaction aids received in real time in a second time period according to a sequence relationship from large to small, generating a purchasing registration table according to the purchasing registration table and sending the purchasing registration table to the mobile phone of a manager, wherein the mobile phone of the manager is in wireless transmission connection with the registration interconnection module, namely, the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the management module are respectively taken according to various profit signals corresponding to the profit conditions, and the to-be-processed condition and the pre-shipment condition of each solid waste are subjected to data analysis together by combining the inventory conditions of various reaction aids to obtain the subsequent purchasing conditions of various reaction aids; further fusing the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions and the inventory condition of each reaction auxiliary agent together to accurately provide a targeted purchasing strategy and establish a dynamic coordination feedback mechanism for selling orders and storing production;
the data acquisition module is also used for acquiring the goods quantity information and the order information of the warehouse in real time and transmitting the goods quantity information and the order information to the goods quantity analysis module, the goods quantity information of the warehouse comprises warehouse-in quantity data and stock quantity data of the warehouse, and the order information of the warehouse is represented as shipment quantity data of the warehouse;
the cargo quantity analysis module carries out cargo quantity evaluation operation on the warehouse according to the cargo quantity analysis result so as to obtain the cargo quantity flow coefficient Li of each warehouse in the third time period, and the cargo quantity flow coefficient Li is transmitted to the personnel allocation module through the controller;
the staff allocation module is used for acquiring the working information of the staff in real time, the working information of the staff comprises the age data of the staff, the sex data of the staff and the distance data between the residence of the staff and the warehouse, and allocation analysis operation is carried out together with Li according to the working information so as to obtain allocation fitting coefficients Aij between each warehouse and each staff in a third time period and the allocation fitting coefficients Aij are transmitted to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse to generate a personnel allocation table and sends the personnel allocation table to the employee mobile phone, the employee mobile phone is in wireless transmission connection with the registration interconnection module, the cargo amount information and the order information of the warehouse are subjected to weighted analysis together, and the personnel allocation table and the work information of the employees are comprehensively processed according to the weight analysis, so that a reasonable personnel allocation scheme can be provided according to the cargo condition and the work condition.
Further, the specific steps of the profit analysis operation are as follows:
the method comprises the following steps: acquiring mixing amount data of various reaction aids added into each solid waste in a first time period, cost data corresponding to the various reaction aids and selling price data corresponding to each solid waste, and sequentially calibrating the data, wherein the first time period is expressed as one month;
step two: firstly, marking various reaction auxiliary agent adding ratios when each solid waste is processed as Qij, i is 1.. n, j is 1.. m, namely Q1j when i is 1 is expressed as various reaction auxiliary agent adding ratios when the first solid waste is processed, marking cost data corresponding to various reaction auxiliary agents as Wj, j is 1.. m, and finally marking selling price data corresponding to each solid waste as Ei, i is 1.. n, wherein Qij, Wj and Ei are in one-to-one correspondence;
step three: firstly, respectively assigning correction factors q, w and e to Qij, Wj and Ei, wherein q is greater than w and greater than e, and q + w + e is 2.1657, and then according to a formula
Obtaining the profit coefficient of each solid waste in the first time period, wherein sigma, rho, alpha and beta are profit factors, sigma is larger than rho and larger than beta, and alpha + beta + rho + sigma is 1.6985, finally Ri is compared with a preset value r, when Ri is larger than the preset value r, a high profit signal is generated by each solid waste corresponding to Ri, otherwise, a low profit signal is generated by each solid waste corresponding to Ri, namely, the mixing amount condition of each reaction auxiliary agent and each solid waste is combined with the cost condition and the selling price condition, and the profit condition of each solid waste is obtained according to corrected and assigned formula analysis so as to formulate the later production and purchase plan.
Further, the specific steps of the signal analysis operation are as follows:
the method comprises the following steps: acquiring data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to a high profit signal and a low profit signal in a second time period, data of the inventory amount of each reaction auxiliary in the second time period, and data of the mixed amount of each reaction auxiliary added into each solid waste in the first time period, sequentially calibrating the data, wherein the second time period is represented as one month after the first time period;
step two: firstly, designating inventory data of various reaction assistants as Ya, a is 1.. n, then designating to-be-processed data of each solid waste corresponding to a high profit signal as Ub, b is 1.. m, and designating addition ratios of various reaction assistants to each solid waste corresponding to a high profit signal as Pab, a is 1.. n, b is 1.. m, and Ya, Ub and Pab are all in one-to-one correspondence, i.e. when a is 1, P1b is expressed as the addition ratio of a first type of reaction assistant to each solid waste corresponding to a high profit signal, finally designating predetermined quantity data of each solid waste corresponding to a low profit signal as Sc, c is 1.. m, and adding various reaction assistants to each solid waste corresponding to a low profit signal as Dac, a is designated as a profit ratio, m, and Ya, Sc and Dac all correspond to one another, that is, when a is 1, D1c represents the addition ratio of the first reaction auxiliary agent to each solid waste corresponding to the low profit signal;
step three: according to the formula
Obtaining the purchasing coefficients of various reaction assistants in the second time period, wherein y, u and s are purchasing factors, y is less than u and less than s, and y + u + s is 1.8951, and when the same type of reaction assistant corresponds to
Is greater than
If so, the to-be-processed factor p is 1.6, the pre-shipment factor d is 0.4, otherwise, the to-be-processed factor p is 0.4, and the pre-shipment factor d is 1.6.
Further, the specific steps of the cargo quantity evaluation operation are as follows:
the method comprises the following steps: acquiring the goods quantity information and the order information of the warehouses in a third time period, marking the total warehousing quantity data of each warehouse as Gi, i is 1.. n, the total inventory quantity data of each warehouse is Hi, i is 1.. n, and the total shipment quantity data of each warehouse is Ki, i is 1.. n, wherein Gi, Hi and Ki are in one-to-one correspondence, and the third time period is expressed as one month time;
step two: and firstly, carrying out weight distribution according to the influence ratio of Gi, Hi and Ki on the flow of the goods quantity of each warehouse, sequentially distributing weighted values g, h and k, wherein h is smaller than k, and h + g + k is 1, and then obtaining the flow coefficient of the goods quantity of each warehouse in the third time period according to a formula Li (Gi) g + Ki k-Hi h, i (1).
Further, the specific steps of the allocation analysis operation are as follows:
the method comprises the following steps: acquiring the cargo flow coefficient Li of each warehouse in the third time period, and respectively giving the Li calibration values M1, M2 and M3 when the Li is larger than the maximum value of the preset range l, is positioned in the preset range l and is smaller than the minimum value of the preset range l, wherein M1, M2 and M3 are positive integers, and M1 is larger than M2 and is larger than M3;
step two: acquiring work information of the employees corresponding to the third time period, and respectively marking age data of each employee, gender data of each employee and distance data between each warehouse and each employee residence as Zj, Xj and Vij, wherein i is 1.. n, and j is 1.. m, namely when i is 1, V1j represents the distance data between the first warehouse and each employee residence, and Zj, Xj, Vij and Li are in one-to-one correspondence;
step three: firstly, respectively assigning a calibrated value N1, N2 and N3 to Zj when the Zj is larger than the maximum value of a preset range z, is positioned in the preset range z and is smaller than the minimum value of the preset range z, wherein N1, N2 and N3 are positive integers, N2 is larger than N3 and is larger than N1, then respectively assigning a calibrated value B1 and B2 to Xj when the Xj is male and female, wherein B1 and B2 are positive integers, and B1 is larger than B2, and finally respectively assigning calibrated values C1, C2 and C3 to Vij when the Vij is larger than the maximum value of the preset range v, is positioned in the preset range v and is smaller than the minimum value of the preset range v, C1, C2 and C3 are positive integers, and C3 is larger than C2 and is larger than C1;
step four: and (3) calculating a matching coefficient of each warehouse and each workshop in the third time period according to the formula of Aij ═ (Zj + Xj) × t + Vij × o + Li ×, i ═ 1.. n, j ═ 1.. m, wherein t, o and l are matching factors, t is less than l and t + o + l is 2.6874, namely when i is equal to 1, A1j is expressed as the matching coefficient of the first warehouse and each workshop in the third time period.
The invention has the beneficial effects that:
1. the data acquisition module of the invention transmits the mixed amount data of various reaction auxiliary agents added into each solid waste to the data exchange module, the data exchange module is used for calling cost data corresponding to various reaction auxiliary agents and selling price data corresponding to various solid wastes from the database, and carrying out profit analysis operation, namely, the high-profit signal and the low-profit signal are obtained through the data calibration and corrected formulaic analysis, and the mixed amount data of the solid waste and various reaction auxiliary agents added into each solid waste are transmitted to a signal processing module through a controller, namely, the mixing amount condition of various reaction auxiliary agents and each solid waste is combined with the cost condition and the selling price condition, according to the corrected and assigned formulaic analysis, the profit condition of each solid waste is obtained, so that a later-stage production and purchase plan is made;
the signal processing module respectively retrieves the data of the amount to be processed and the pre-shipment amount of each corresponding solid waste from the data recording module according to the high profit signal and the low profit signal, and carries out signal analysis operation together with the stock data of each reaction auxiliary transmitted in real time by the data recording module and the mixed amount data of each reaction auxiliary added into each solid waste, namely, the purchase coefficients of each reaction auxiliary are obtained by carrying out calibration and precision assignment on the data and the mixed amount data, and the purchase coefficients are transmitted to the registration interconnection module;
the registration interconnection module arranges the purchase coefficients of the various reaction assistants in order according to a sequential relationship from large to small, generates a purchase registration table according to the purchase coefficients and sends the purchase registration table to a mobile phone of a manager, namely, respectively calls the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the profit situation according to various profit signals corresponding to the profit situation, and performs data analysis together with the inventory condition of the various reaction assistants to obtain the subsequent purchase conditions of the various reaction assistants; then combining the mixing amount condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, and fusing the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions and the inventory condition of various reaction auxiliary agents after the formula analysis of correction and assignment so as to accurately provide a targeted purchasing strategy and establish a dynamic coordination feedback mechanism for selling orders and storing products;
2. the data acquisition module of the invention also transmits the goods quantity information and the order information of the warehouses to the goods quantity analysis module, and the goods quantity analysis module carries out goods quantity evaluation operation according to the goods quantity information, namely, the goods quantity evaluation module is calibrated and subjected to weighting analysis to obtain the goods quantity flow coefficient of each warehouse and transmits the goods quantity flow coefficient to the personnel allocation module through the controller, and the personnel allocation module carries out allocation analysis operation together with the work information of the staff, namely, the personnel allocation module is calibrated and subjected to weighting analysis to obtain the allocation fit coefficient between each warehouse and each staff and transmits the allocation fit coefficient to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse, generates a personnel allocation table and sends the personnel allocation table to the mobile phone of the employee, namely, the goods amount information and the order information of the warehouse are subjected to weighted analysis together, and are comprehensively processed with the work information of the employee according to the weight sequence, so that a reasonable personnel allocation scheme is provided according to the goods condition and the work condition.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
As shown in fig. 1, an ERP management system suitable for solid waste treatment industry includes a data acquisition module, a data exchange module, a database, a data analysis module, a controller, a signal processing module, a data recording module, a registration interconnection module, a cargo volume analysis module and a personnel allocation module;
the data acquisition module is used for acquiring the mixed quantity data of various reaction assistants added into each solid waste in real time and transmitting the mixed quantity data to the data exchange module, the various reaction assistants comprise various biological assistants, various physical assistants, various chemical assistants and the like, and each solid waste comprises steel solid waste, plastic solid waste, paper solid waste and the like;
the data exchange module calls cost data corresponding to various reaction aids and selling price data corresponding to each solid waste from the database according to the data, and transmits the cost data and the selling price data to the data analysis module together, and the cost data of various reaction aids and the selling price data of each solid waste in the database are pre-recorded;
the data analysis module carries out profit analysis operation on the mixing amount data of various reaction aids added into each solid waste, the cost data corresponding to the various reaction aids and the selling price data corresponding to each solid waste together to obtain a high profit signal and a low profit signal in a first time period, and the mixing amount data of various reaction aids added into each solid waste together with the high profit signal and the low profit signal in the first time period are transmitted to the signal processing module through the controller;
the signal processing module is used for respectively calling the data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to the signal processing module from the data recording module according to the high-profit signal and the low-profit signal, the data recording module is used for recording the data of the amount to be processed, the pre-shipment amount of each solid waste and the stock data of each reaction auxiliary in real time, transmitting the stock data of each reaction auxiliary to the signal processing module, and performing signal analysis operation together according to the signal processing module to obtain the purchasing coefficient Fa of each reaction auxiliary in the second time period and transmitting the purchasing coefficient Fa to the registration interconnection module;
the registration interconnection module is used for orderly arranging the purchase coefficients Fa of the various reaction aids received in real time in a second time period according to a sequence relationship from large to small, generating a purchase registration table according to the purchase coefficients Fa and sending the purchase registration table to the mobile phone of a manager, wherein the mobile phone of the manager is in wireless transmission connection with the registration interconnection module, namely, the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the to-be-processed condition and the pre-shipment condition of each solid waste are respectively taken according to various profit signals corresponding to the profit conditions, and the inventory conditions of the various reaction aids are combined to carry out data analysis together to obtain the subsequent purchase conditions of the various reaction aids; further fusing the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions and the inventory condition of each reaction auxiliary agent together to accurately provide a targeted purchasing strategy and establish a dynamic coordination feedback mechanism for selling orders and storing production;
the data acquisition module is also used for acquiring the goods quantity information and the order information of the warehouse in real time and transmitting the goods quantity information and the order information to the goods quantity analysis module, the goods quantity information of the warehouse comprises warehouse-in quantity data and stock quantity data of the warehouse, and the order information of the warehouse is represented as shipment quantity data of the warehouse;
the goods quantity analysis module carries out goods quantity evaluation operation on the goods quantity analysis module according to the data to obtain the goods quantity flow coefficient Li of each warehouse in the third time period, and the goods quantity flow coefficient Li is transmitted to the personnel allocation module through the controller;
the staff allocation module is used for acquiring the work information of the staff in real time, the work information of the staff comprises the age data of the staff, the sex data of the staff and the distance data between the residence of the staff and the warehouse, and allocation analysis operation is carried out together with Li according to the work information to obtain allocation fitting coefficients Aij between each warehouse and each staff in a third time period and the allocation fitting coefficients Aij are transmitted to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse to generate a personnel allocation table and sends the personnel allocation table to the employee mobile phone, and the employee mobile phone is in wireless transmission connection with the registration interconnection module, namely, the cargo amount information and the order information of the warehouse are subjected to weighted analysis together, and are comprehensively processed with the work information of the employee according to the weight, so that a reasonable personnel allocation scheme can be provided according to the cargo condition and the work condition;
and the specific steps of the profit analysis operation are as follows:
the method comprises the following steps: acquiring mixing amount data of various reaction aids added into each solid waste in a first time period, cost data corresponding to the various reaction aids and selling price data corresponding to each solid waste, and sequentially calibrating the data, wherein the first time period is expressed as one month;
step two: firstly, marking various reaction auxiliary agent adding ratios when each solid waste is processed as Qij, i is 1.. n, j is 1.. m, namely Q1j when i is 1 is expressed as various reaction auxiliary agent adding ratios when the first solid waste is processed, marking cost data corresponding to various reaction auxiliary agents as Wj, j is 1.. m, and finally marking selling price data corresponding to each solid waste as Ei, i is 1.. n, wherein Qij, Wj and Ei are in one-to-one correspondence;
step three: firstly, respectively assigning correction factors q, w and e to Qij, Wj and Ei, wherein q is greater than w and greater than e, and q + w + e is 2.1657, and then according to a formula
Obtaining the profit coefficient of each solid waste in the first time period, wherein sigma, rho, alpha and beta are profit factors, sigma is larger than rho and larger than beta, and alpha + beta + rho + sigma is 1.6985, finally Ri is compared with a preset value r, when Ri is larger than the preset value r, each solid waste corresponding to Ri generates a high profit signal, otherwise, each solid waste corresponding to Ri generates a low profit signal, namely, the mixing amount condition of various reaction aids and each solid waste is combined with the cost condition and the selling price condition, and the profit condition of each solid waste is obtained according to corrected and assigned formula analysis so as to formulate a later-period production and purchase plan;
and the specific steps of the signal analysis operation are as follows:
the method comprises the following steps: acquiring data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to a high profit signal and a low profit signal in a second time period, data of the inventory amount of each reaction auxiliary in the second time period, and data of the mixed amount of each reaction auxiliary added into each solid waste in the first time period, sequentially calibrating the data, wherein the second time period is represented as one month after the first time period;
step two: firstly, designating inventory data of various reaction assistants as Ya, a is 1.. n, then designating to-be-processed data of each solid waste corresponding to a high profit signal as Ub, b is 1.. m, and designating addition ratios of various reaction assistants to each solid waste corresponding to a high profit signal as Pab, a is 1.. n, b is 1.. m, and Ya, Ub and Pab are all in one-to-one correspondence, i.e. when a is 1, P1b is expressed as the addition ratio of a first type of reaction assistant to each solid waste corresponding to a high profit signal, finally designating predetermined quantity data of each solid waste corresponding to a low profit signal as Sc, c is 1.. m, and adding various reaction assistants to each solid waste corresponding to a low profit signal as Dac, a is designated as a profit ratio, m, and Ya, Sc and Dac all correspond to one another, that is, when a is 1, D1c represents the addition ratio of the first reaction auxiliary agent to each solid waste corresponding to the low profit signal;
step three: according to the formula
Obtaining the purchasing coefficients of various reaction assistants in the second time period, wherein y, u and s are purchasing factors, y is less than u and less than s, and y + u + s is 1.8951, and when the same type of reaction assistant corresponds to
Is greater than
If so, taking 1.6 as the to-be-processed factor p and 0.4 as the pre-shipment factor d, and otherwise, taking 0.4 as the to-be-processed factor p and 1.6 as the pre-shipment factor d;
and the specific steps of the cargo quantity evaluation operation are as follows:
the method comprises the following steps: acquiring the goods quantity information and the order information of the warehouses in a third time period, marking the total warehousing quantity data of each warehouse as Gi, i is 1.. n, the total inventory quantity data of each warehouse is Hi, i is 1.. n, and the total shipment quantity data of each warehouse is Ki, i is 1.. n, wherein Gi, Hi and Ki are in one-to-one correspondence, and the third time period is expressed as one month time;
step two: firstly, carrying out weight distribution according to the influence ratio of Gi, Hi and Ki on the flow of the goods quantity of each warehouse, sequentially distributing weighted values g, h and k, wherein h is smaller than k, and h + g + k is 1, and then obtaining the flow coefficient of the goods quantity of each warehouse in a third time period according to a formula Li (Gi) g + Ki k-Hi h, i (1.. n);
the specific steps of the preparation and analysis operation are as follows:
the method comprises the following steps: acquiring the cargo flow coefficient Li of each warehouse in the third time period, and respectively giving the Li calibration values M1, M2 and M3 when the Li is larger than the maximum value of the preset range l, is positioned in the preset range l and is smaller than the minimum value of the preset range l, wherein M1, M2 and M3 are positive integers, and M1 is larger than M2 and is larger than M3;
step two: acquiring work information of the employees corresponding to the third time period, and respectively marking age data of each employee, gender data of each employee and distance data between each warehouse and each employee residence as Zj, Xj and Vij, wherein i is 1.. n, and j is 1.. m, namely when i is 1, V1j represents the distance data between the first warehouse and each employee residence, and Zj, Xj, Vij and Li are in one-to-one correspondence;
step three: firstly, respectively assigning a calibrated value N1, N2 and N3 to Zj when the Zj is larger than the maximum value of a preset range z, is positioned in the preset range z and is smaller than the minimum value of the preset range z, wherein N1, N2 and N3 are positive integers, N2 is larger than N3 and is larger than N1, then respectively assigning a calibrated value B1 and B2 to Xj when the Xj is male and female, wherein B1 and B2 are positive integers, and B1 is larger than B2, and finally respectively assigning calibrated values C1, C2 and C3 to Vij when the Vij is larger than the maximum value of the preset range v, is positioned in the preset range v and is smaller than the minimum value of the preset range v, C1, C2 and C3 are positive integers, and C3 is larger than C2 and is larger than C1;
step four: and (3) calculating a matching coefficient of each warehouse and each workshop in the third time period according to the formula of Aij ═ (Zj + Xj) × t + Vij × o + Li ×, i ═ 1.. n, j ═ 1.. m, wherein t, o and l are matching factors, t is less than l and t + o + l is 2.6874, namely when i is equal to 1, A1j is expressed as the matching coefficient of the first warehouse and each workshop in the third time period.
A is suitable for the solid waste processing industry ERP management system, in the course of working, add various reaction auxiliary agents gathered in real time to the mixing amount data in each kind of solid waste to transmit to the data exchange module by the data acquisition module first, the data exchange module transfers the cost data corresponding to various reaction auxiliary agents from the database according to the above, and sell the price data corresponding to each kind of solid waste, and transmit to the data analysis module together, the data analysis module carries on the profit analysis operation to it;
the method comprises the steps of obtaining various reaction auxiliary agent adding ratios when each solid waste is treated according to mixed quantity data of various reaction auxiliary agents added into each solid waste, carrying out calibrated and corrected formulated analysis on the ratio, cost data corresponding to various reaction auxiliary agents and selling price data corresponding to each solid waste to obtain high-profit signals and low-profit signals, transmitting the high-profit signals and the low-profit signals to a signal processing module through a controller together with the mixed quantity data of various reaction auxiliary agents added into each solid waste, combining the mixed quantity condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, and carrying out corrected and assigned formulated analysis to obtain the profit condition of each solid waste so as to make later production and plan purchase;
the signal processing module is used for respectively calling the data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to the signal processing module from the data recording module according to the high-profit signal and the low-profit signal, and carrying out signal analysis operation on the data of the amount to be processed and the pre-shipment amount of each solid waste and the stock data of each reaction auxiliary transmitted by the data recording module in real time and the mixed amount data of each reaction auxiliary added into each solid waste;
the method comprises the steps of obtaining the adding ratio of various reaction assistants to each solid waste corresponding to a high profit signal and the adding ratio of various reaction assistants to each solid waste corresponding to a low profit signal according to the mixing amount data of various reaction assistants added to each solid waste, carrying out calibration and precision assignment data analysis on the adding ratio, the inventory data of various reaction assistants, the data of the amount to be processed of each solid waste corresponding to the high profit signal and the data of the pre-shipment amount of each solid waste corresponding to the low profit signal, obtaining the purchasing coefficients of various reaction assistants and transmitting the purchasing coefficients to a registration interconnection module;
the registration interconnection module arranges the purchase coefficients of the various reaction assistants in order according to a sequential relationship from large to small, generates a purchase registration table according to the purchase coefficients and sends the purchase registration table to a mobile phone of a manager, namely, respectively calls the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the profit situation according to various profit signals corresponding to the profit situation, and performs data analysis together with the inventory condition of the various reaction assistants to obtain the subsequent purchase conditions of the various reaction assistants; then combining the mixing amount condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, and fusing the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions and the inventory condition of various reaction auxiliary agents after the formula analysis of correction and assignment so as to accurately provide a targeted purchasing strategy and establish a dynamic coordination feedback mechanism for selling orders and storing products;
the data acquisition module also transmits the real-time acquired inventory information and order information of the warehouse to the inventory analysis module, the inventory information of the warehouse comprises warehouse entry data and inventory data, the order information of the warehouse is represented as delivery data of the warehouse, and the inventory analysis module carries out inventory evaluation operation on the warehouse according to the inventory data;
the total warehousing quantity data of all warehouses, the total inventory quantity data of all warehouses and the total shipment quantity data of all warehouses are calibrated and subjected to weighting analysis to obtain the cargo quantity flow coefficient of each warehouse, and the cargo quantity flow coefficient is transmitted to a personnel allocation module through a controller;
the staff allocation module allocates and analyzes the real-time collected work information of the staff and the cargo flow coefficient of each warehouse together, and the work information of the staff comprises age data of the staff, sex data of the staff and distance data between the residences of the staff and the warehouses;
the goods flow coefficient of each warehouse, the age data of each employee, the gender data of each employee and the distance data of each warehouse and each employee residence are calibrated, assigned and analyzed to obtain the allocation fitting coefficient of each warehouse and each employee, and the allocation fitting coefficient is transmitted to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse, generates a personnel allocation table and sends the personnel allocation table to the mobile phone of the employee, namely, the goods amount information and the order information of the warehouse are subjected to weighted analysis together, and are comprehensively processed with the work information of the employee according to the weight sequence, so that a reasonable personnel allocation scheme is provided according to the goods condition and the work condition.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (1)
1. An ERP management system applicable to solid waste treatment industry is characterized by comprising a data acquisition module, a data exchange module, a database, a data analysis module, a controller, a signal processing module, a data recording module, a registration interconnection module, a cargo volume analysis module and a personnel allocation module;
the data acquisition module is used for acquiring the mixed amount data of various reaction auxiliary agents added into each solid waste in real time and transmitting the mixed amount data to the data exchange module;
the data exchange module calls cost data corresponding to various reaction auxiliary agents and selling price data corresponding to various solid wastes from the database according to the cost data and the selling price data, and the cost data and the selling price data are transmitted to the data analysis module together;
the data analysis module carries out profit analysis operation on the mixing amount data of various reaction aids added into each solid waste, the cost data corresponding to the various reaction aids and the selling price data corresponding to each solid waste, which are received in real time, and the profit analysis operation comprises the following specific steps:
the method comprises the following steps: acquiring mixing amount data of various reaction aids added into each solid waste in a first time period, cost data corresponding to the various reaction aids and selling price data corresponding to each solid waste, and sequentially calibrating the data, wherein the first time period is expressed as one month;
step two: firstly, calibrating the adding ratio of various reaction aids in each solid waste treatment as Qij, i =1.. n, j =1.. m, then calibrating the cost data corresponding to the various reaction aids as Wj, j =1.. m, and finally calibrating the selling price data corresponding to each solid waste as Ei, i =1.. n;
step three: firstly, respectively assigning correction factors q, w and e to Qij, Wj and Ei, wherein q is greater than w and greater than e, and
then according to the formula
N, wherein σ, ρ, α and β are all profit factors, σ is greater than ρ is greater than α is greater than β and σ is greater than β
Finally, Ri is compared with a preset value r, when Ri is larger than the preset value r, each solid waste corresponding to Ri generates a high profit signal, otherwise, each solid waste corresponding to Ri generates a low profit signal;
obtaining a high profit signal and a low profit signal in a first time period, and transmitting the high profit signal and the low profit signal together with the mixed amount data of various reaction assistants added into each solid waste in the first time period to a signal processing module through a controller;
the signal processing module is used for respectively calling the data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to the data recording module from the data recording module according to the high-profit signal and the low-profit signal, the data recording module is used for recording the data of the amount to be processed, the pre-shipment amount of each solid waste and the stock data of various reaction assistants in real time, transmitting the stock data of various reaction assistants to the signal processing module, and performing signal analysis operation together according to the signal processing module, and the specific steps of the signal analysis operation are as follows:
the method comprises the following steps: acquiring data of the amount to be processed and the pre-shipment amount of each solid waste corresponding to a high profit signal and a low profit signal in a second time period, data of the inventory amount of each reaction auxiliary in the second time period, and data of the mixed amount of each reaction auxiliary added into each solid waste in the first time period, sequentially calibrating the data, wherein the second time period is represented as one month after the first time period;
step two: firstly, calibrating inventory data of various reaction assistants as Ya, a =1.. m, calibrating data of the amount to be processed of each solid waste corresponding to a high profit signal as Ub, b =1.. n, calibrating an adding ratio of various reaction assistants to each solid waste corresponding to a high profit signal as Pab, a =1.. m, b =1.. n, calibrating preset quantity data of each solid waste corresponding to a low profit signal as Sc, c =1.. n, and calibrating an adding ratio of various reaction assistants to each solid waste corresponding to a low profit signal as Dac, a =1.. m, c =1.. n;
step three: according to the formula
And a =1.. m, obtaining the purchasing coefficient of each type of reaction auxiliary agent in the second time period, wherein y, u and s are purchasing factors, and y is smaller than u and smaller than s
When the same class of reaction auxiliary agent corresponds to
Is greater than
If so, taking 1.6 as the to-be-processed factor p and 0.4 as the pre-shipment factor d, and otherwise, taking 0.4 as the to-be-processed factor p and 1.6 as the pre-shipment factor d;
obtaining the purchasing coefficients Fa of various reaction aids in the second time period, and transmitting the purchasing coefficients Fa to the registration interconnection module;
the registration interconnection module arranges the purchase coefficients Fa of the various reaction aids received in real time in a second time period in order according to the sequence relationship from large to small, and generates a purchase registration table according to the purchase coefficients Fa to send to the mobile phone of the manager;
the data acquisition module is also used for acquiring the goods quantity information and the order information of the warehouse in real time and transmitting the goods quantity information and the order information to the goods quantity analysis module, the goods quantity information of the warehouse comprises warehouse-in quantity data and stock quantity data of the warehouse, and the order information of the warehouse is represented as shipment quantity data of the warehouse;
the cargo quantity analysis module carries out cargo quantity evaluation operation according to the cargo quantity analysis module, and the specific steps of the cargo quantity evaluation operation are as follows:
the method comprises the following steps: acquiring the goods quantity information and the order information of the warehouses in a third time period, marking the total warehousing quantity data of each warehouse as Gi, i =1.. mu, the total inventory quantity data of each warehouse as Hi, i =1.. mu, and the total shipment quantity data of each warehouse as Ki, i =1.. mu, wherein the third time period is expressed as one month;
step two: firstly, weight distribution is carried out according to the influence ratio of Gi, Hi and Ki on the flow of the goods volume of each warehouse, and weight values g, h and k are distributed in sequence, wherein h is less than g and less than k and
then according to the formula
Mu, and i =1.. mu, calculating the flow coefficient of the cargo quantity of each warehouse in the third time period;
obtaining the flow coefficient Li of the goods volume of each warehouse in the third time period, and transmitting the flow coefficient Li to the personnel allocation module through the controller;
the staff allocation module is used for acquiring the work information of the staff in real time, the work information of the staff comprises the age data of the staff, the sex data of the staff and the distance data between the residence of the staff and the warehouse, and allocation analysis operation is carried out together with Li according to the work information, and the specific steps of the allocation analysis operation are as follows:
the method comprises the following steps: acquiring the cargo flow coefficient Li of each warehouse in the third time period, and respectively giving the Li calibration values M1, M2 and M3 when the Li is larger than the maximum value of the preset range lambda, is positioned in the preset range lambda and is smaller than the minimum value of the preset range lambda, wherein M1, M2 and M3 are positive integers, and M1 is larger than M2 and is larger than M3;
step two: acquiring work information of the staff corresponding to a third time period, and respectively marking the age data of each staff, the gender data of each staff and the distance data between each warehouse and each staff residence as Zj, Xj and Vij, wherein i =1.. mu, and j =1.. theta;
step three: firstly, respectively assigning a calibrated value N1, N2 and N3 to Zj when the Zj is larger than the maximum value of a preset range z, is positioned in the preset range z and is smaller than the minimum value of the preset range z, wherein N1, N2 and N3 are positive integers, N2 is larger than N3 and is larger than N1, then respectively assigning a calibrated value B1 and B2 to Xj when the Xj is male and female, wherein B1 and B2 are positive integers, and B1 is larger than B2, and finally respectively assigning calibrated values C1, C2 and C3 to Vij when the Vij is larger than the maximum value of the preset range v, is positioned in the preset range v and is smaller than the minimum value of the preset range v, C1, C2 and C3 are positive integers, and C3 is larger than C2 and is larger than C1;
step four: according to the formula
And i =1.. mu, j =1.. theta, and the adjustment between each warehouse and each employee in the third time period is obtainedMatching with a fit coefficient, wherein t, o and l are fit factors, and t is less than l and less than o
；
Obtaining a deployment fit coefficient Aij of each warehouse and each workshop in a third time period, and transmitting the deployment fit coefficient Aij to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse, generates a personnel allocation table and sends the personnel allocation table to the mobile phone of the employee;
the data acquisition module transmits the mixed quantity data of various reaction aids added into each solid waste to the data exchange module, the data exchange module is used for calling cost data corresponding to various reaction aids and selling price data corresponding to each solid waste from the database according to the cost data, and profit analysis operation is carried out together, namely, the data are subjected to data calibration and corrected formulated analysis to obtain a high profit signal and a low profit signal, and the high profit signal and the low profit signal are transmitted to the signal processing module together with the mixed quantity data of various reaction aids added into each solid waste through the controller, namely, the mixed quantity condition of various reaction aids and each solid waste is combined with the cost condition and the selling price condition, and the profit condition of each solid waste is obtained according to the corrected and assigned formulated analysis so as to make a later-stage production and purchase plan;
the signal processing module respectively retrieves the data of the amount to be processed and the pre-shipment amount of each corresponding solid waste from the data recording module according to the high profit signal and the low profit signal, and carries out signal analysis operation together with the stock data of each reaction auxiliary transmitted in real time by the data recording module and the mixed amount data of each reaction auxiliary added into each solid waste, namely, the purchase coefficients of each reaction auxiliary are obtained by carrying out calibration and precision assignment on the data and the mixed amount data, and the purchase coefficients are transmitted to the registration interconnection module;
the registration interconnection module arranges the purchase coefficients of the various reaction assistants in order according to a sequential relationship from large to small, generates a purchase registration table according to the purchase coefficients and sends the purchase registration table to a mobile phone of a manager, namely, respectively calls the to-be-processed condition and the pre-shipment condition of each solid waste corresponding to the profit situation according to various profit signals corresponding to the profit situation, and performs data analysis together with the inventory condition of the various reaction assistants to obtain the subsequent purchase conditions of the various reaction assistants; then combining the mixing amount condition of various reaction auxiliary agents and each solid waste with the cost condition and the selling price condition, and fusing the to-be-processed condition and the pre-shipment condition of each solid waste associated with different profit conditions and the inventory condition of various reaction auxiliary agents after the formula analysis of correction and assignment so as to accurately provide a targeted purchasing strategy and establish a dynamic coordination feedback mechanism for selling orders and storing products;
the data acquisition module also transmits the goods quantity information and the order information of the warehouses to the goods quantity analysis module, the goods quantity analysis module carries out goods quantity evaluation operation according to the goods quantity information and the order information, namely, the goods quantity evaluation operation is carried out on the goods quantity information and the order information through calibration and weight analysis to obtain the goods quantity flow coefficient of each warehouse, the goods quantity flow coefficient is transmitted to the personnel allocation module through the controller, the personnel allocation module carries out allocation analysis operation on the goods quantity flow coefficient and the work information of the staff together, namely, the allocation fit coefficient between each warehouse and each staff is obtained through calibration and value assignment analysis and is transmitted to the registration interconnection module;
the registration interconnection module arranges the allocation sequence of each employee according to the fit degree of the warehouse and each employee, combines the allocation sequence with the preset required personnel amount of the warehouse, generates a personnel allocation table and sends the personnel allocation table to the mobile phone of the employee, namely, the goods amount information and the order information of the warehouse are subjected to weighted analysis together, and are comprehensively processed with the work information of the employee according to the weight sequence, so that a reasonable personnel allocation scheme is provided according to the goods condition and the work condition.
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