CN114881619A - Multi-department purchase plan data through cooperation method and device and readable storage medium - Google Patents
Multi-department purchase plan data through cooperation method and device and readable storage medium Download PDFInfo
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Abstract
The invention discloses a multi-department purchase plan data through cooperation method, a device and a readable storage medium.A purchase cooperation terminal obtains a plurality of purchase plan information, and adds a service label corresponding to a service terminal to each purchase information; generating a purchasing data tree diagram according to the relationship between the types of purchasing equipment and the specifications of the purchasing equipment of all the purchasing plan information in the sorting set; the method comprises the steps that a purchasing cooperative terminal obtains cooperative equipment data sent by all service terminals in a preset time period, and cooperative equipment information is electric equipment which can be cooperatively distributed to other service terminals by the service terminals; generating distribution data of the collaborative equipment information based on the purchase data tree diagram to obtain a collaborative data tree diagram corresponding to the purchase data tree diagram; and displaying the collaborative data tree graph, and if receiving the confirmation information, performing equipment purchase and equipment collaborative processing based on the collaborative data tree graph. The invention can reduce the purchasing cost and improve the purchasing efficiency.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a multi-department purchase plan data through cooperation method, a multi-department purchase plan data through cooperation device and a readable storage medium.
Background
With the investment of a large-scale national power grid in recent years, material management is taken as an important link of material resource intensive management, and the task is huge in the process of improving the material resource intensive management work. The material plan management is used as a leading head and a key of material management, and is a means for knowing material demands and resources, keeping material quantity, quality and variety specification balance, reasonably arranging the material use direction and effectively utilizing the material resources.
In the material planning management of the power enterprise, material purchasing planning is an important link, and in the prior art, a plurality of departments often send purchasing planning demands to a general purchasing department respectively, for example, the purchasing planning demands are sent to the general purchasing department in a form of a table through a mailbox for purchasing.
However, in the purchasing method in the prior art, data communication coordination cannot be performed among a plurality of departments, and when some of the departments have purchasing equipment required by other departments, coordination cannot be performed among the departments, so that redundant equipment is purchased, the purchasing cost is increased, and meanwhile, when the equipment of the plurality of departments is purchased respectively, the purchasing efficiency is low.
Disclosure of Invention
The invention overcomes the defects of the prior art, provides a multi-department purchase plan data through cooperation method, a device and a readable storage medium, and can reduce the purchase cost and improve the purchase efficiency.
In order to solve the technical problems, the technical scheme of the invention is as follows:
the embodiment of the invention provides a multi-department purchasing plan data through cooperation method, which comprises the following steps:
s1, the purchasing cooperation terminal counts the purchasing plan data sent by a plurality of service terminals in a preset time period, the purchasing plan data comprises at least one purchasing plan information, and the purchasing plan information comprises the type of purchasing equipment, the specification of the purchasing equipment and the purchasing quantity;
s2, the purchasing coordination terminal decomposes the purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adds a service label corresponding to the service terminal to each purchasing plan information;
s3, sorting all the purchasing plan information for many times according to the purchasing equipment type, the purchasing equipment specification and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment type and the purchasing equipment specification of all the purchasing plan information in the sorting set;
s4, the purchase cooperative terminal acquires cooperative device data sent by all the service terminals in a preset time period, wherein the cooperative device data comprises at least one piece of cooperative device information, and the cooperative device information is electric power equipment which can be cooperatively distributed to other service terminals by the service terminals;
s5, generating distribution data of the cooperative equipment information based on the purchase data tree diagram to obtain a cooperative data tree diagram corresponding to the purchase data tree diagram;
and S6, displaying the collaborative data tree, and if receiving the confirmation information, performing equipment purchase and equipment collaborative processing based on the collaborative data tree.
The embodiment of the invention provides a multi-department purchase plan data through cooperation device, which comprises:
the system comprises a statistic module, a data processing module and a data processing module, wherein the statistic module is used for enabling a purchasing cooperation terminal to count purchasing plan data sent by a plurality of service terminals within a preset time period, the purchasing plan data comprises at least one purchasing plan message, and the purchasing plan message comprises a purchasing device type, a purchasing device specification and a purchasing quantity;
the decomposition module is used for enabling the purchasing cooperative terminal to decompose purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adding a service label corresponding to the service terminal to each purchasing information;
the sorting module is used for sorting all the purchasing plan information for multiple times according to the purchasing equipment types, the purchasing equipment specifications and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment types and the purchasing equipment specifications of all the purchasing plan information in the sorting set;
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for enabling a purchasing cooperative terminal to obtain cooperative equipment data sent by all service terminals within a preset time period, the cooperative equipment data comprises at least one piece of cooperative equipment information, and the cooperative equipment information is electric equipment which can be cooperatively distributed to other service terminals by the service terminals;
the generation module is used for generating distribution data of the collaborative equipment information based on the purchase data tree diagram to obtain a collaborative data tree diagram corresponding to the purchase data tree diagram;
and the display module is used for displaying the collaborative data tree map, and if the confirmation information is received, equipment purchasing and equipment collaborative processing are carried out on the basis of the collaborative data tree map.
An embodiment of the present invention provides a readable storage medium, in which a computer program is stored, and the computer program is used for implementing any one of the above methods when being executed by a processor.
The invention has the beneficial effects that:
(1) the purchasing plan data of all departments are summarized, then all purchasing plan information is sorted for many times by utilizing the types of purchasing equipment, the specifications of the purchasing equipment and the purchasing quantity to obtain a corresponding sorting set, and a purchasing data tree diagram is formed, namely the purchasing data tree diagram in the scheme can summarize the purchasing data of all departments, and the summarized information is clearly displayed after being classified and sorted, so that the equipment types, the equipment models and the equipment quantity corresponding to each purchasing data can be clearly known, and due to the sorting processing in the scheme, the purchasing requirement corresponding to the leftmost node in the purchasing data tree diagram is the largest; in addition, the scheme can also clearly see purchasing department information corresponding to the purchasing information on the purchasing data tree diagram; in addition, the collaborative data of each department are used for processing the purchasing data tree graph to obtain the collaborative data tree graph, grandchild nodes without purchasing equipment, grandchild nodes with redundant equipment, grandchild nodes with equipment to be purchased, grandchild nodes with equipment lack quantity and the like can be clearly displayed in the collaborative data tree graph, and allocation of purchasing equipment among multiple departments and display of required quantity can be achieved. According to the scheme, the purchasing data among multiple departments are communicated, the coordination of equipment is carried out among the multiple departments, meanwhile, the data needing to be purchased are collected in a statistics mode through the cooperation data tree diagram, the unified purchasing is carried out, compared with the table collection in the prior art, the purchasing efficiency is improved to a large extent, meanwhile, redundant purchasing cannot be caused, and the purchasing cost is reduced;
(2) when the purchasing data dendrogram and the collaborative data dendrogram are generated, classification and sorting are carried out, so that the demand corresponding to the leftmost node in the dendrogram is the largest, relative sub-demand coefficients and relative total demand coefficients are calculated in a subsequent combination sequence, after the relative total demand coefficients are obtained, the relative total demand coefficients are sorted in a descending order to obtain a demand sorting result, which shows that the demand arranged at the forefront is the largest, the scheme selects a front preset quantity as recommended pre-storage data, then a basic standby proportion in the recommended pre-storage data is increased by a preset value to increase, the purchasing quantity of purchasing equipment with larger demand is increased, and the subsequent purchasing times are reduced;
(3) the basic standby proportion is set to increase the calculated number of the devices, and the main reason is that if the devices in a project are damaged due to problems such as installation, a plurality of devices are lacked, so that the project progress is delayed.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
FIG. 1 is a schematic diagram of a procurement system terminal and a business terminal embodying the invention;
FIG. 2 is a schematic diagram of a child node and a grandchild node according to the present invention;
fig. 3 is a schematic structural diagram of a multi-department procurement plan data cut-through coordination device provided by the invention.
Detailed Description
In order that the present invention may be more readily and clearly understood, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.
The invention provides a multi-department purchasing plan data through cooperation method, which comprises the following steps of S1-S6:
and S1, the purchasing cooperation terminal counts the purchasing plan data sent by a plurality of service terminals in a preset time period, the purchasing plan data comprises at least one purchasing plan message, and the purchasing plan message comprises the type of purchasing equipment, the specification of purchasing equipment and the purchasing quantity.
Referring to fig. 1, the service terminal may be configured for different purchasing departments, for example, there are 3 purchasing departments A, B, C, then there may be 3 corresponding service terminals, and the purchasing cooperation terminal may be a terminal or a server of the purchasing general department, which performs data interaction with the service terminal.
In the procurement planning data in the scheme, at least one piece of procurement planning information is provided, and the procurement planning information is, for example, the type of procurement equipment (for example, a transformer) to be procured, the specification of the procurement equipment (for example, the model-1 of the transformer, the model-2 of the transformer, and the like), and the procurement quantity (for example, 100 transformers to be procured).
The preset time period is, for example, one month, and the procurement planning data of the present scenario is procurement data within one month.
And S2, the purchasing coordination terminal decomposes the purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adds a service label corresponding to the service terminal to each purchasing plan information.
The purchasing cooperation terminal in the scheme can decompose the purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and simultaneously adds a service label corresponding to the service terminal to each purchasing plan information.
The service tag may be a department tag, that is, department information corresponding to the purchasing plan information, and may be displayed in a subsequent tree diagram.
And S3, sorting all the purchasing plan information for many times according to the purchasing equipment types, the purchasing equipment specifications and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment types and the purchasing equipment specifications of all the purchasing plan information in the sorting set.
Firstly, the scheme uses the types of the purchasing devices, the specifications of the purchasing devices and the purchasing quantity to sort all the purchasing plan information for many times to obtain a corresponding sorting set, and then uses the relationship between the types of the purchasing devices and the specifications of the purchasing devices of all the purchasing plan information in the sorting set to generate a purchasing data tree diagram.
It can be understood that the purchasing data tree diagram of the scheme can clearly show the information of the types of the purchasing devices, the specifications of the purchasing devices, the purchasing quantity and the like.
In some embodiments, S3 (the step of sorting all the procurement planning information multiple times according to the procurement equipment types, procurement equipment specifications, and procurement quantities to obtain a corresponding sorted set, and generating a procurement data tree diagram according to the relationships between the procurement equipment types and the procurement equipment specifications of all the procurement planning information in the sorted set) includes S31-S33:
and S31, classifying and sorting all the purchasing plan information once according to the purchasing equipment types and the purchasing quantity to obtain a primary sorting set, and dividing the purchasing plan information with the same purchasing equipment types into a primary sorting subset.
Step S31 is to sort and classify all the procurement plan information for the first time in this scenario to obtain a sorted set, and then process the sorted set again to obtain a sorted subset. It will be appreciated that there may be multiple subsets of the primary sort set in the present scheme.
In some embodiments, step S31 (the step of sorting all the procurement planning information into a sorted set according to the procurement equipment category and the procurement quantity, and dividing the procurement planning information with the same procurement equipment category into a sorted subset) includes S311-S313:
s311, counting all the purchasing plan information to obtain an initial set, establishing a plurality of sub-segments in the initial set according to all the purchasing equipment types, and classifying the purchasing plan information with the same purchasing equipment type into the same sub-segments.
It will be appreciated that the initial set of solutions includes all of the procurement planning information (including, for example, all of the procurement planning information of procurement department A, B, C).
First, the present solution establishes a plurality of sub-segments in the initial set according to the types of procured equipment, for example, the total number of procured equipment is 2, one is a transformer, one is a voltage sensor, and then the corresponding sub-segments may be 2 (for example, sub-segment 1 and sub-segment 2), and then classifies the procurement plan information corresponding to the transformer into sub-segment 1, and classifies the procurement plan information of the voltage sensor into sub-segment 2.
In step S311, the procurement planning information in the initial set is once classified and divided according to the device type.
S312, counting the sum of the first purchasing quantity of all the purchasing plan information in each sub-set segment to obtain the corresponding type quantity, and sorting the sub-set segments in the initial set in a descending order according to the type quantity relation to obtain a primary sorting set.
Illustratively, the procurement number of transformers is 100, then the number of types of sub-segments 1 is 100, the procurement number of voltage sensors is 50, then the number of types of sub-segments 2 is 50. Then, sorting the subsections in the initial set in a descending order according to the relation of the number of the types to obtain a primary sorting set, such as { subsections 1, subsections 2 }.
It can be understood that the higher the first in a sorted set, the larger the purchase amount and the larger the demand amount.
S313, dividing all the procurement plan information corresponding to each subset segment into a primary sorting subset.
Illustratively, the once-ordered subsets may be the corresponding { subset segment 1} and { subset segment 2 }.
S32, selecting a primary sorting subset with a plurality of specifications of the purchasing equipment, performing secondary sorting and sorting on the primary sorting subset based on the specifications of the purchasing equipment and the purchasing quantity to obtain a secondary sorting subset, and dividing the purchasing plan information with the same specifications of the purchasing equipment in the secondary sorting subset into secondary sorting grandchild subsets.
It is understood that step S31 is the primary sorted subset sorted according to the device type, step S32 is the secondary sorted subset obtained by performing secondary sorting on the primary sorted subset according to the specification of the procured device and the procurement quantity, and the procurement plan information with the same specification of the procured device in the secondary sorted subset is divided into the secondary sorted grandchild subset.
It can also be understood that the purchasing plan information in the secondary sorting grandchild set is the same in specifications of the purchasing device, not only the type of the purchasing device is the same.
In some embodiments, S32 (selecting a first ranked subset having a plurality of procurement device specifications, performing a second sort ranking on the first ranked subset based on the procurement device specifications and the quantity of procurements to obtain a second ranked subset, and dividing procurement planning information having the same procurement device specifications in the second ranked subset into second ranked grandchild subsets) includes S321-S325:
s321, acquiring specifications of purchasing devices of all purchasing plan information in each primary sorting subset, if the specifications of the purchasing devices are 1, establishing a grandchild set section identical to the primary sorting subset, and taking the type number of the primary sorting subset as the specification number of the corresponding grandchild set section.
Illustratively, for a transformer, if the transformer has 3 device specifications, transformer-1, transformer-2, and transformer-3, respectively, then there are 3 corresponding { subset segment 1} procured device specifications; as another example, for a voltage sensor, if the voltage sensor has 1 device specification, respectively voltage sensor-1, then there are 2 corresponding { subsegment 2} procured device specifications.
In the present solution, if the specification of the purchasing device is 1, and at this time, the purchasing device does not need to be divided again according to the specification of the purchasing device, a grandchild segment (for example, { grandchild segment 2} identical to { child segment 2 }) identical to the first-order sorted subset may be directly established, and the number of types of the first-order sorted subset may be used as the number of specifications of the corresponding grandchild segment, for example, the number of specifications of the voltage sensors in { grandchild segment 2} is 50.
And S322, if the number of the purchased equipment specifications is multiple, determining the specification number of each purchased equipment specification.
For the transformer, if the transformer has 3 device specifications, namely transformer-1, transformer-2 and transformer-3, the corresponding { subsection 1} procurement device specifications are 3, and at this time, the number of specifications is 3.
S323, a plurality of grandchild set segments are established in the subset segments according to the specification quantity, and the purchasing plan information with the same purchasing equipment specification is classified into the same grandchild set segments.
Illustratively, there may be 3 grandchild set segments in the present solution, which are grandchild set segment 1, grandchild set segment 2, and grandchild set segment 3, and then the purchasing plan information with the same purchasing device specification is categorized into the same grandchild set segment, forming { grandchild set segment 1}, { grandchild set segment 2}, and { grandchild set segment 3 }.
And S324, counting the sum of the second purchasing quantities of all the purchasing plan information in each grandchild set segment to obtain corresponding specification quantities, and performing descending sorting on the grandchild set segments of the subset segments according to the specification quantity relation to obtain a secondary sorting set.
For example, if there are 30 transformers-1, 50 transformers-2, and 20 transformers-3, and the numbers of the specifications of { grandchild set section 1}, { grandchild set section 2}, and { grandchild set section 3} are 30, 50, and 20, respectively, the secondary ordered sets after descending order are { grandchild set section 2}, { grandchild set section 1}, and { grandchild set section 3 }.
And S325, dividing all the purchasing plan information corresponding to each grandchild set segment into secondary sorting grandchild sets.
According to the scheme, all purchasing plan information corresponding to each grandchild set segment is divided into secondary sorting grandchild sets, so that all purchasing plan information is classified.
And S33, generating a purchasing data tree diagram according to the purchasing plan information in the secondary sorting grandchild subset and the primary sorting subset.
According to the scheme, the purchasing data tree diagram is generated by utilizing the purchasing plan information in the secondary sorting grandchild set and the primary sorting subset.
In some embodiments, S33 (the generating a procurement data tree from the procurement planning information in the secondary sorted grandchild subset, the primary sorted subset) includes:
and establishing a root node corresponding to the primary sorting set. Referring to fig. 2, it is understood that the root node is the first node in the tree.
And establishing child nodes corresponding to all the primary sorting subsets, connecting the child nodes with the root node, and supplementing the child nodes according to the type and the type quantity of the purchasing equipment corresponding to each primary sorting subset to obtain corresponding child node information. For example, in the present scheme, the first-order subsets are { subset segment 1} and { subset segment 2}, then 2 corresponding child nodes may be set, and then the type and the number of the types of the purchased devices corresponding to each first-order subset are supplemented to the child nodes to obtain corresponding child node information, that is, the type and the number of the types of the purchased devices can be seen in the dendrogram.
And establishing grandchild nodes corresponding to all secondary sorting grandchild subsets, connecting the grandchild nodes with corresponding child nodes, and supplementing the grandchild nodes according to the specification and the specification quantity of the purchasing equipment corresponding to each secondary sorting subset to obtain corresponding grandchild node information. For example, if the secondary ordered grandchild set is { grandchild set 2}, { grandchild set 1}, and { grandchild set 3}, there are 3 grandchild nodes (grandchild nodes 1, 2, 3) below the corresponding child node (child node 1), and the procurement data tree corresponding to the primary ordered set is generated based on the connection relationship among the root node, the child nodes, and the grandchild nodes.
It can be understood that the purchase data tree diagram in the scheme can summarize the purchase data of all departments, and meanwhile, the summarized information is clearly displayed after being classified and sorted, so that the corresponding equipment type, equipment model and equipment quantity in each purchase data can be clearly known, and due to the sorting processing in the scheme, the purchase demand corresponding to the leftmost node in the purchase data tree diagram is the largest, and in addition, the purchase department information corresponding to the purchase information can be clearly seen on the purchase data tree diagram.
And S4, the purchase cooperative terminal acquires cooperative device data sent by all the service terminals in a preset time period, wherein the cooperative device data comprises at least one piece of cooperative device information, and the cooperative device information is electric power equipment which can be cooperatively distributed to other service terminals by the service terminals.
The cooperative device data may be power device data that each business department may cooperatively allocate to other departments, for example, 50 remaining transformers are in the warehouse of the purchasing department a, which may be allocated to 50 transformers in other departments, and 30 voltage sensors may be allocated to other departments by the purchasing department B.
And S5, generating distribution data of the cooperative equipment information based on the purchase data tree diagram to obtain a cooperative data tree diagram corresponding to the purchase data tree diagram.
After the purchase data tree is obtained in step S3, the solution processes the purchase data tree in combination with the collaborative device data in step S4 to obtain a corresponding collaborative data tree.
In some embodiments, step S5 (the generating of the distribution data for the collaborative device information based on the procurement data tree resulting in a collaborative data tree corresponding to the procurement data tree) includes S51-S55:
and S51, extracting the cooperative device type, the cooperative device specification and the cooperative quantity of each piece of cooperative device information, and extracting all pieces of cooperative device information corresponding to the purchased device type and the purchased device specification of the grandchild node to obtain corresponding distribution data.
Illustratively, the cooperative device information is that the purchasing department a can allocate 50 transformers to other departments, including 30 transformers-1 and 20 transformers-2, and then the corresponding allocation data includes 1 type of cooperative device, 2 types of cooperative device specifications, and 30 and 20 cooperative quantities, respectively.
And S52, sequentially determining the coordination number of each piece of coordination equipment information in the distribution data and the specification number of the corresponding grandchild node.
It can be understood that the collaboration number is a number that can be allocated by other departments, and the specification number of the grandchild node is the number required by the corresponding grandchild node.
And S53, if the collaboration number is larger than or equal to the specification number of the corresponding grandchild node, adding a first mark to the grandchild node, obtaining the excess number of the equipment according to the difference value of the collaboration number and the specification number, and adding the excess number of the equipment to the corresponding grandchild node.
It can be understood that, if the collaboration number is greater than or equal to the specification number of the corresponding grandchild node, it indicates that the number that can be collaborated is greater than the required number, and at this time, a first flag is added to the grandchild node, which indicates that the purchasing device corresponding to the grandchild node does not need to be purchased again.
In addition, according to the scheme, the difference value between the coordination number (for example, 30) and the specification number (for example, 10) is obtained to obtain the device excess number (for example, 20), and the device excess number is added to the corresponding grandchild node, which indicates that not only the corresponding grandchild node but also the redundant devices are available, and at this time, the device excess number is also added to the corresponding grandchild node for updating and showing.
And S54, if the collaboration number is smaller than the specification number of the corresponding grandchild node, adding a second mark to the grandchild node, obtaining the device missing number according to the difference value of the specification number and the collaboration number, and adding the device missing number to the corresponding grandchild node.
It can be understood that, if the collaboration number is smaller than the specification number of the corresponding grandchild node, it indicates that the number that can be collaborated is smaller than the required number, and at this time, a second mark is added to the grandchild node, which indicates that the purchasing device corresponding to the grandchild node needs to purchase some more.
In addition, according to the scheme, the device shortage number (for example, 10) is obtained according to the difference value between the specification number (for example, 40) and the collaboration number (for example, 30), and the device shortage number is added to the corresponding grandchild node.
And S55, taking the procurement data tree graph formed by the grandchild nodes added with the first mark, the excess quantity of the equipment, the second mark and the shortage quantity of the equipment as the collaborative data tree graph fusing the distribution data.
And S6, displaying the collaborative data tree, and if receiving the confirmation information, performing equipment purchase and equipment collaborative processing based on the collaborative data tree.
It can be understood that the cooperative data tree diagram in the scheme can clearly show the grandchild nodes without purchasing equipment, the grandchild nodes of redundant equipment, the grandchild nodes requiring purchasing equipment, the grandchild nodes lacking the quantity of equipment and the like, so that allocation of purchasing equipment among multiple departments and display of required quantity can be realized, purchasing efficiency is improved, redundant purchasing cannot be caused, and purchasing cost is reduced.
In some embodiments, step S6 (the displaying the collaboration data tree, and if confirmation information is received, performing device procurement and device collaboration processing based on the collaboration data tree) includes S61-S63:
and S61, if the confirmation information is received, counting the specification quantity of all unmarked grandchild nodes to obtain first purchase information, and counting the shortage quantity of all second marked grandchild nodes to obtain second purchase information.
And S62, purchasing the power equipment based on the first purchasing information and the second purchasing information.
It can be understood that, if confirmation information of the administrator is received, the first procurement information is obtained by counting the specification number of all the unmarked grandchild nodes, and the second procurement information is obtained by counting the device missing number of all the second marked grandchild nodes. And then, uniformly purchasing the corresponding first purchasing information and second purchasing information.
It can be understood that this scheme combines the purchase data of a plurality of departments together to combine in coordination data dendrogram to make statistics of and summarize the data that need purchase, carry out unified purchase, summarize for the form among the prior art, great degree has promoted purchasing efficiency, can not lead to unnecessary purchase simultaneously, has reduced purchasing cost.
In some embodiments, step S62 (the performing of the procurement process of the electrical device based on the first procurement information and the second procurement information) includes S621-S623:
s621, a preset basic standby proportion is obtained, calculation is carried out according to the specification quantity and the basic standby proportion of each unmarked grandchild node, a first standby quantity of the corresponding grandchild node is obtained, and a final first actual purchase quantity is obtained according to the specification quantity and the first standby quantity.
It should be noted that the basic standby proportion set by the scheme is to increase the calculated number of devices, and the main reason is to consider that if a device in a project is damaged due to problems such as installation, several devices are lacked, so that the project schedule is delayed, and therefore, the basic standby proportion is set by the scheme to adjust the number of devices to be purchased.
In some embodiments, the first actual purchase amount is calculated by the following formula,
wherein the content of the first and second substances,
is as follows
The first actual purchase quantity of the device at the grandchild node,
the proportion of the basic materials to be used is,
is unlabeled to
Specification number of the grandchild nodes;
for example, if the specification number is 100, the base spare ratio is 0.2, and the corresponding first spare number is 20, the obtained first actual purchase number is 120, and then 120 direct purchases are made at the time of actual purchase, so that it can be ensured that the project schedule is not delayed.
And S622, obtaining a first adjustment coefficient according to the proportion of the coordination number corresponding to the grandchild node to the specification number, and reducing and adjusting the basic standby proportion according to the first adjustment coefficient.
It can be understood that, according to the scheme, a first adjustment coefficient is further obtained to perform reduction processing on the basic spare ratio, where the larger the ratio of the coordination number corresponding to the grandchild node to the specification number is, the larger the surplus of the purchasing equipment corresponding to the grandchild node is, the more purchasing is indicated, the more basic spare ratio is indicated, and reduction adjustment needs to be performed.
And S623, calculating according to the reduced and adjusted basic standby proportion and the shortage number to obtain a second standby number of the corresponding grandchild node, and obtaining a final second actual purchasing number according to the shortage number and the second standby number.
The second actual purchase quantity is calculated by the following formula,
wherein the content of the first and second substances,
is as follows
A second actual number of purchases of devices at the grandchild node,
is as follows
The number of collaborations of the grandchild nodes,
in order to scale the weights, the weights are adjusted,
is as follows
The number of specifications of the grandchild node,
is as follows
The missing number of grandchild nodes.
In the above-mentioned formula,
representing the first adjustment factor, it is understood that the larger the first adjustment factor, the larger the magnitude of the adjustment required,
representing the amplitude to be adjusted, and finally calculating
Second actual purchase quantity of devices at grandchild node
。
According to the scheme, the basic standby proportion can be adjusted by combining the conditions in the actual application process through the steps, the actual purchasing quantity is further controlled, and the purchasing cost is reduced.
And S63, updating the cooperative device data according to the cooperative quantity and the redundant quantity of the devices corresponding to the grandchild node, so that the corresponding cooperative device information in the cooperative device data is correspondingly modified.
It can be understood that, the present solution also performs an update process on the collaborative device data to prevent the reference quantity from being incorrect in the subsequent calculation. For example, if there are 50 transformers-1, 30 transformers-1 are cooperatively eliminated, and there are 20 transformers-1 left, the 20 transformers-1 are updated as the number capable of being coordinated.
On the basis of the above embodiment, the method further comprises steps A1-A4:
and A1, counting the collaborative data dendrograms at all historical moments and at all current moments, and acquiring the total number of grandchild nodes in each collaborative data dendrogram, and the sequence of grandchild nodes in the corresponding dendrogram of each purchased device type and purchased device specification.
It can be understood that, in the present solution, the collaborative data dendrograms at all the historical times and the current time are counted, that is, a plurality of collaborative data dendrograms are obtained through counting, and then the multidimensional information in the collaborative data dendrogram, that is, the total number of grandchild nodes, the category of each purchasing device, and the order of grandchild nodes in the corresponding dendrogram of the specification of each purchasing device are obtained.
And A2, obtaining the relative child demand coefficient of the corresponding grandchild node according to the category of each purchasing device, the sequence of the grandchild nodes of the specifications of the purchasing device, the total number of the grandchild nodes and a preset constant value.
And A3, counting the corresponding relative total demand coefficient of each purchased equipment type and purchased equipment specification in all the collaborative data dendrograms.
The relative sub-demand coefficient is calculated by the following formula, and then the corresponding relative total demand coefficient of each purchased equipment type and purchased equipment specification in all the collaborative data dendrograms is counted.
It can be understood that the larger the relative sub-demand coefficient and the relative total demand coefficient is, the more frequently purchased, and the smaller the relative sub-demand coefficient is, the less frequently purchased.
Wherein, the relative total demand coefficient of the equipment of each purchase equipment type and purchase equipment specification in all the collaborative data dendrograms is counted, which comprises:
the relative sub-demand coefficient and the relative total demand coefficient are calculated by the following formulas,
wherein the content of the first and second substances,
is as follows
In a collaborative data tree
Relative sub-demand coefficients of equipment of the type of the equipment to be purchased and the specification of the equipment to be purchased,
in order to be a predetermined constant value,
is as follows
In a collaborative data tree
The sequence of purchasing equipment types and equipment specifications,
is as follows
The total number of grandchild nodes of the personal collaboration data tree,
is as follows
The variety of purchased equipment,The relative overall demand factor for equipment to procure equipment specifications,
is as follows
In a collaborative data tree
Relative sub-demand coefficients of equipment of the type of the equipment to be purchased and the specification of the equipment to be purchased,
is an upper limit value for the number of collaborative data dendrograms.
It can be understood that, in the above embodiment of the present solution, the nodes are sorted in order, the more front the node is, the more the number is needed, which indicates that the requirement is greater, and in the above formula, the more front the node is, the corresponding node is
The smaller, the corresponding
The smaller the relative sub-demand coefficient
The larger the final relative total demand factor
The larger.
And A4, sorting the relative total demand coefficients in a descending order to obtain a demand sorting result, selecting the types of the purchased equipment and the equipment with the specifications of the purchased equipment with the preset number in the front of the demand sorting result, and generating recommended pre-inventory data. And adding preset values to the basic standby proportion corresponding to the equipment of the types and specifications of the purchased equipment.
According to the scheme, after the relative total demand coefficients are obtained, the relative total demand coefficients are sorted in a descending order to obtain a demand sorting result, the demand quantity arranged at the forefront is the largest, and the front preset quantity (for example, 3) is selected as the recommended pre-storage data. And then increasing the basic standby proportion in the recommended pre-storage data by a preset value to increase, increasing the purchase quantity of purchasing equipment with larger demand quantity, and reducing subsequent purchase times.
Referring to fig. 3, which is a schematic structural diagram of a multi-department procurement plan data cut-through coordination apparatus provided in an embodiment of the present invention, the multi-department procurement plan data cut-through coordination apparatus includes:
the system comprises a statistic module, a data processing module and a data processing module, wherein the statistic module is used for enabling a purchasing cooperation terminal to count purchasing plan data sent by a plurality of service terminals within a preset time period, the purchasing plan data comprises at least one purchasing plan message, and the purchasing plan message comprises a purchasing device type, a purchasing device specification and a purchasing quantity;
the decomposition module is used for enabling the purchasing cooperative terminal to decompose purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adding a service label corresponding to the service terminal to each purchasing information;
the sorting module is used for sorting all the purchasing plan information for multiple times according to the purchasing equipment types, the purchasing equipment specifications and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment types and the purchasing equipment specifications of all the purchasing plan information in the sorting set;
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for enabling a purchasing cooperative terminal to obtain cooperative equipment data sent by all service terminals within a preset time period, the cooperative equipment data comprises at least one piece of cooperative equipment information, and the cooperative equipment information is electric equipment which can be cooperatively distributed to other service terminals by the service terminals;
the generation module is used for generating distribution data of the collaborative equipment information based on the purchase data tree diagram to obtain a collaborative data tree diagram corresponding to the purchase data tree diagram;
and the display module is used for displaying the collaborative data tree map, and if the confirmation information is received, equipment purchasing and equipment collaborative processing are carried out on the basis of the collaborative data tree map.
The apparatus in the embodiment shown in fig. 3 can be correspondingly used to perform the steps in the above method embodiments, and the implementation principle and technical effect are similar, which are not described herein again.
The present invention also provides a readable storage medium, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the methods provided by the various embodiments described above.
The readable storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a readable storage medium is coupled to the processor such that the processor can read information from, and write information to, the readable storage medium. Of course, the readable storage medium may also be an integral part of the processor. The processor and the readable storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the readable storage medium may also reside as discrete components in a communication device. The readable storage medium may be a read-only memory (ROM), a random-access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
The present invention also provides a program product comprising execution instructions stored in a readable storage medium. The at least one processor of the device may read the execution instructions from the readable storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In addition to the above embodiments, the present invention may have other embodiments; all technical solutions formed by adopting equivalent substitutions or equivalent transformations fall within the protection scope of the claims of the present invention.
Claims (13)
1. The multi-department purchasing plan data through cooperation method is characterized by comprising the following steps:
s1, the purchasing cooperation terminal counts the purchasing plan data sent by a plurality of service terminals in a preset time period, the purchasing plan data comprises at least one purchasing plan information, and the purchasing plan information comprises the type of purchasing equipment, the specification of purchasing equipment and the purchasing quantity;
s2, the purchasing coordination terminal decomposes the purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adds a service label corresponding to the service terminal to each purchasing plan information;
s3, sorting all the purchasing plan information for many times according to the purchasing equipment type, the purchasing equipment specification and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment type and the purchasing equipment specification of all the purchasing plan information in the sorting set;
s4, the purchase cooperative terminal acquires cooperative device data sent by all the service terminals in a preset time period, wherein the cooperative device data comprises at least one piece of cooperative device information, and the cooperative device information is electric power equipment which can be cooperatively distributed to other service terminals by the service terminals;
s5, generating distribution data of the cooperative equipment information based on the purchase data tree diagram to obtain a cooperative data tree diagram corresponding to the purchase data tree diagram;
and S6, displaying the collaborative data tree, and if receiving the confirmation information, performing equipment purchase and equipment collaborative processing based on the collaborative data tree.
2. The multi-department procurement planning data-through collaboration method of claim 1,
the S3 includes:
classifying and sorting all the purchasing plan information once according to the types and the purchasing quantity of the purchasing equipment to obtain a primary sorting set, and dividing the purchasing plan information with the same types of the purchasing equipment into a primary sorting subset;
selecting a primary sorting subset with a plurality of specifications of purchasing equipment, performing secondary sorting and sorting on the primary sorting subset based on the specifications of the purchasing equipment and the purchasing quantity to obtain a secondary sorting subset, and dividing purchasing plan information with the same specifications of the purchasing equipment in the secondary sorting subset into secondary sorting grandchild subsets;
and generating a purchasing data tree diagram according to the purchasing plan information in the secondary sorting grandchild set and the primary sorting subset.
3. The multi-department procurement planning data-through collaboration method of claim 2,
the classifying and sorting all the purchasing plan information according to the types of the purchasing devices and the purchasing quantity to obtain a sorting set, and dividing the purchasing plan information with the same types of the purchasing devices into a sorting subset, comprising:
counting all the purchasing plan information to obtain an initial set, establishing a plurality of sub-segments in the initial set according to all the purchasing equipment types, and classifying the purchasing plan information with the same purchasing equipment type into the same sub-segments;
counting the sum of the first purchasing quantity of all the purchasing plan information in each sub-set segment to obtain corresponding type quantity, and performing descending sorting on the sub-set segments in the initial set according to the type quantity relation to obtain a primary sorting set;
and dividing all the purchasing plan information corresponding to each subset segment into a primary sorting subset.
4. The multi-department procurement plan data penetration collaboration method according to claim 3,
selecting a primary sorting subset with a plurality of specifications of purchasing equipment, performing secondary sorting and sorting on the primary sorting subset based on the specifications of the purchasing equipment and the purchasing quantity to obtain a secondary sorting subset, and dividing purchasing plan information with the same specifications of the purchasing equipment in the secondary sorting subset into secondary sorting grandchild subsets, wherein the method comprises the following steps:
acquiring specifications of purchasing devices of all purchasing plan information in each primary sorting subset, if the specifications of the purchasing devices are 1, establishing a grandchild section identical to the primary sorting subset, and taking the type number of the primary sorting subset as the specification number of a corresponding grandchild section;
if the number of the specifications of the purchasing equipment is multiple, determining the specification number of each specification of the purchasing equipment;
establishing a plurality of grandchild set segments in the subset segments according to the specification quantity, and classifying the purchasing plan information with the same purchasing equipment specification into the same grandchild set segments;
counting the sum of the second purchasing quantities of all the purchasing plan information in each grandchild set segment to obtain a corresponding specification quantity, and sorting the grandchild set segments of the subset segments in a descending order according to the relation of the specification quantities to obtain a secondary sorting set;
and dividing all the purchasing plan information corresponding to each grandchild set segment into secondary sequencing grandchild sets.
5. The multi-department procurement planning data-through collaboration method of claim 4,
the S5 includes:
establishing a root node corresponding to the primary sorting set;
establishing child nodes corresponding to all the primary sorting subsets, connecting the child nodes with a root node, and supplementing the child nodes according to the type and the type quantity of the purchasing equipment corresponding to each primary sorting subset to obtain corresponding child node information;
establishing grandchild nodes corresponding to all secondary sorting grandchild subsets, connecting the grandchild nodes with corresponding child nodes, and supplementing the grandchild nodes according to specifications and specification quantity of purchasing equipment corresponding to each secondary sorting subset to obtain corresponding grandchild node information;
and generating a purchasing data tree diagram corresponding to the primary sorting set based on the connection relation among the root node, the child nodes and the grandchild nodes.
6. The multi-department procurement planning data-through collaboration method of claim 5,
the generating of the distribution data of the collaborative equipment information based on the purchase data tree diagram to obtain the collaborative data tree diagram corresponding to the purchase data tree diagram includes:
extracting the cooperative device type, the cooperative device specification and the cooperative quantity of each piece of cooperative device information, and extracting all pieces of cooperative device information corresponding to the purchase device type and the purchase device specification of the grandchild node to obtain corresponding distribution data;
sequentially determining the collaboration quantity of each piece of collaboration equipment information in the distribution data and the specification quantity of corresponding grandchild nodes;
if the collaboration number is larger than or equal to the specification number of the corresponding grandchild node, adding a first mark to the grandchild node, obtaining the surplus number of the equipment according to the difference value of the collaboration number and the specification number, and adding the surplus number of the equipment to the corresponding grandchild node;
if the cooperative number is smaller than the specification number of the corresponding grandchild node, adding a second mark to the grandchild node, obtaining the equipment shortage number according to the difference value of the specification number and the cooperative number, and adding the equipment shortage number to the corresponding grandchild node;
and taking the purchasing data tree diagram formed by the grandchild nodes added with the first mark, the surplus amount of the equipment, the second mark and the shortage amount of the equipment as the collaborative data tree diagram for fusing and distributing data.
7. The multi-department procurement planning data-through collaboration method of claim 6,
the S6 includes:
if the confirmation information is received, counting the specification quantity of all unmarked grandchild nodes to obtain first purchase information, and counting the equipment shortage quantity of all second marked grandchild nodes to obtain second purchase information;
purchasing processing of the power equipment is carried out based on the first purchasing information and the second purchasing information;
and updating the cooperative device data according to the cooperative quantity and the redundant quantity of the devices corresponding to the grandchild node, so that the corresponding cooperative device information in the cooperative device data is correspondingly modified.
8. The multi-department procurement planning data-through collaboration method of claim 7,
the purchasing processing of the power equipment based on the first purchasing information and the second purchasing information includes:
acquiring a preset basic standby proportion, calculating according to the specification quantity and the basic standby proportion of each unmarked grandchild node to obtain a first standby quantity of the corresponding grandchild node, and acquiring a final first actual purchase quantity according to the specification quantity and the first standby quantity;
obtaining a first adjustment coefficient according to the proportion of the cooperative number corresponding to the grandchild node to the specification number, and reducing and adjusting the basic standby proportion according to the first adjustment coefficient;
and calculating according to the reduced and adjusted basic standby proportion and the shortage number to obtain a second standby number of the corresponding grandchild node, and obtaining a final second actual purchasing number according to the shortage number and the second standby number.
9. The multi-department procurement planning data-through collaboration method of claim 8,
the first actual purchase amount is calculated by the following formula,
wherein the content of the first and second substances,
is as follows
The first actual purchase quantity of the device at the grandchild node,
the proportion of the basic materials to be used is,
is unlabeled to
Specification number of the grandchild nodes;
the second actual purchase quantity is calculated by the following formula,
wherein the content of the first and second substances,
is as follows
A second actual number of purchases of devices at the grandchild node,
is as follows
The number of collaborations of the grandchild nodes,
in order to scale the weights, the weights are adjusted,
is as follows
The number of specifications for the grandchild node,
is as follows
The missing number of grandchild nodes.
10. The multi-department procurement plan data cut-through collaboration method of claim 6, characterized by further comprising:
counting the collaborative data dendrograms at all historical moments and at all current moments, and acquiring the total number of grandchild nodes in each collaborative data dendrogram, and the sequence of grandchild nodes in the corresponding dendrogram of each purchased equipment type and purchased equipment specification;
obtaining relative child demand coefficients of corresponding grandchild nodes according to the type of each purchasing device, the sequence of grandchild nodes of the specifications of the purchasing device, the total number of the grandchild nodes and a preset constant value;
counting the corresponding total relative demand coefficients of each purchased equipment type and purchased equipment specification in all the collaborative data dendrograms;
sorting the relative total demand coefficients in a descending order to obtain a demand sorting result, selecting the types of the purchasing equipment and the equipment with the specifications of the purchasing equipment in a preset number at the front part of the demand sorting result, and generating recommendation pre-inventory data;
and adding preset values to the basic standby proportion corresponding to the equipment of the types and specifications of the purchased equipment.
11. The multi-department procurement planning data-through collaboration method of claim 10,
the relative total demand coefficient of the equipment of each purchase equipment type and purchase equipment specification in all the collaborative data dendrograms is counted, and the method comprises the following steps:
the relative sub-demand coefficient and the relative total demand coefficient are calculated by the following formulas,
wherein the content of the first and second substances,
is as follows
In a collaborative data tree
Relative sub-demand coefficients of equipment of the type of the equipment to be purchased and the specification of the equipment to be purchased,
in order to be a predetermined constant value,
is as follows
In a collaborative data tree
The sequence of purchasing equipment types and equipment specifications,
is as follows
The total number of grandchild nodes of the personal collaboration data tree,
is as follows
Relative total demand coefficient of equipment of each purchased equipment type and purchased equipment specification,
is as follows
In a collaborative data tree
Relative sub-demand coefficients of equipment of the type of the equipment to be purchased and the specification of the equipment to be purchased,
is an upper limit value for the number of collaborative data dendrograms.
12. The multi-department purchase plan data link-up cooperative device is characterized by comprising:
the system comprises a statistic module, a data processing module and a data processing module, wherein the statistic module is used for enabling a purchasing cooperation terminal to count purchasing plan data sent by a plurality of service terminals within a preset time period, the purchasing plan data comprises at least one purchasing plan message, and the purchasing plan message comprises a purchasing device type, a purchasing device specification and a purchasing quantity;
the decomposition module is used for enabling the purchasing cooperative terminal to decompose purchasing plan data sent by each service terminal to obtain a plurality of purchasing plan information, and adding a service label corresponding to the service terminal to each purchasing information;
the sorting module is used for sorting all the purchasing plan information for multiple times according to the purchasing equipment types, the purchasing equipment specifications and the purchasing quantity to obtain a corresponding sorting set, and generating a purchasing data tree diagram according to the relationship between the purchasing equipment types and the purchasing equipment specifications of all the purchasing plan information in the sorting set;
the system comprises a sending module, a receiving module and a sending module, wherein the sending module is used for enabling a purchasing cooperative terminal to obtain cooperative equipment data sent by all service terminals within a preset time period, the cooperative equipment data comprises at least one piece of cooperative equipment information, and the cooperative equipment information is electric equipment which can be cooperatively distributed to other service terminals by the service terminals;
the generation module is used for generating distribution data of the collaborative equipment information based on the purchase data tree diagram to obtain a collaborative data tree diagram corresponding to the purchase data tree diagram;
and the display module is used for displaying the collaborative data tree map, and if the confirmation information is received, equipment purchasing and equipment collaborative processing are carried out on the basis of the collaborative data tree map.
13. Readable storage medium, characterized in that a computer program is stored in the readable storage medium, which computer program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 11.
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