CN109636202B - Calculation method and device for per-person efficiency parameter and storage medium - Google Patents

Calculation method and device for per-person efficiency parameter and storage medium Download PDF

Info

Publication number
CN109636202B
CN109636202B CN201811540572.3A CN201811540572A CN109636202B CN 109636202 B CN109636202 B CN 109636202B CN 201811540572 A CN201811540572 A CN 201811540572A CN 109636202 B CN109636202 B CN 109636202B
Authority
CN
China
Prior art keywords
building
delivery
per
server
project
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201811540572.3A
Other languages
Chinese (zh)
Other versions
CN109636202A (en
Inventor
刘万祈
柳海梅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wanyi Technology Co Ltd
Original Assignee
Wanyi Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wanyi Technology Co Ltd filed Critical Wanyi Technology Co Ltd
Priority to CN201811540572.3A priority Critical patent/CN109636202B/en
Publication of CN109636202A publication Critical patent/CN109636202A/en
Application granted granted Critical
Publication of CN109636202B publication Critical patent/CN109636202B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/103—Workflow collaboration or project management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction

Landscapes

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

Abstract

The invention discloses a calculation method of per-capita efficiency parameters, which comprises the following steps: acquiring each building of which the scheduled delivery time point is in a preset time period in a house project; acquiring the scheduled delivery amount and the delivery remaining time of each building; and acquiring the number of personnel corresponding to the property project, and calculating the per-capita efficiency parameter corresponding to the property project according to the number of personnel, the planned delivery amount of each building and the delivery remaining time. The invention also discloses a computing device and a storage medium for the per-capita efficacy parameter. According to the invention, the per-person efficiency parameter is obtained by calculation according to the planned delivery amount and the delivery remaining time, so that the per-person efficiency parameter in the real estate project construction cycle can be obtained.

Description

Calculation method and device for per-person efficiency parameter and storage medium
Technical Field
The invention relates to the field of project management, in particular to a method and a device for calculating a per-capita performance parameter and a storage medium.
Background
In project management, the per-capita performance parameter of the staff is an important reference index for evaluating the project operation efficiency, and has an important reference value for adjusting project staff and resources. Currently, the per-person performance parameter of a project is generally calculated by dividing the delivery amount completed by the total number of people in the project.
However, the construction period of the real estate project is generally long, and the delivery amount is not completed within the construction period, so the average performance parameter of the real estate project within the construction period cannot be obtained by using the current calculation method of the average performance parameter of the people.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a method, a device and a storage medium for calculating an average performance parameter, and aims to solve the problem that the average performance parameter in a real estate project construction period cannot be obtained by using the conventional method for calculating the average performance parameter.
In order to achieve the above object, the present invention provides a method for calculating an average human performance parameter, which comprises the following steps:
acquiring each building of which the scheduled delivery time point is in a preset time period in a house project;
acquiring the scheduled delivery amount and the delivery remaining time of each building;
and acquiring the number of personnel corresponding to the property project, and calculating the per-capita efficiency parameter corresponding to the property project according to the number of personnel, the planned delivery amount of each building and the delivery remaining time.
Preferably, the step of obtaining the number of people corresponding to the property project, and calculating the per-person performance parameter corresponding to the property project according to the number of people, the scheduled delivery amount of each building, and the delivery remaining time includes:
acquiring the number of personnel corresponding to the real estate project;
taking the scheduled delivery amount of each building as a weighted value, and carrying out weighted average calculation on the delivery remaining time of each building to obtain average time;
and obtaining the per-capita efficiency parameter corresponding to the real estate project according to the average duration and the number of the personnel.
Preferably, the step of acquiring each building of the property project whose scheduled delivery time point is within a preset time period includes:
acquiring a scheduled delivery time point in a delivery union associated with the building;
when the building is not associated with a delivery combination, acquiring a start-up time point and a standard construction period of the building, and calculating the scheduled delivery time point according to the start-up time point and the standard construction period;
and acquiring the buildings of which the scheduled delivery time points are in a preset time period.
Preferably, the step of acquiring the scheduled delivery amount and the delivery remaining time length of each building comprises:
acquiring the building area of each building, and taking the building area as the planned delivery volume of each building;
and calculating the remaining delivery time length of each building according to the scheduled delivery time point and the current time point of each building.
Preferably, after the step of obtaining the number of people corresponding to the property item and calculating the per-person performance parameter corresponding to the property item according to the number of people, the scheduled delivery amount of each building and the delivery remaining time, the method further includes:
when the per-person efficacy parameter is smaller than or equal to a preset threshold value, acquiring manager information corresponding to the property project;
and sending reminding information to a terminal corresponding to the administrator information.
Preferably, after the step of obtaining the number of people corresponding to the property item and calculating the per-person performance parameter corresponding to the property item according to the number of people, the scheduled delivery amount of each building and the delivery remaining time, the method further includes:
and storing the per-capita efficacy parameters in association with the real estate project.
Preferably, the calculation method of the per-person efficacy parameter further includes:
when the current time point reaches a preset time point, acquiring the latest per-capita efficacy parameter of the property project and manager information corresponding to the property project;
and sending the latest per-person efficiency parameter to a terminal corresponding to the administrator information.
In addition, to achieve the above object, the present invention provides a calculation apparatus for an average human performance parameter, including: the system comprises a memory, a processor and a calculation program of the per-person performance parameter, wherein the calculation program of the per-person performance parameter is stored on the memory and can run on the processor, and when the calculation program of the per-person performance parameter is executed by the processor, the steps of the calculation method of the per-person performance parameter are realized.
In addition, to achieve the above object, the present invention further provides a storage medium, wherein the storage medium stores a calculation program of the per-person performance parameter, and the calculation program of the per-person performance parameter is executed by a processor to implement the steps of the calculation method of the per-person performance parameter as described in any one of the above.
According to the calculation method, the calculation device and the storage medium of the per-person efficiency parameter provided by the embodiment of the invention, the server acquires each building of which the scheduled delivery time point is in the preset time period in the house property project, then acquires the scheduled delivery amount and the delivery remaining time of each building, further acquires the number of personnel corresponding to the house property project, and calculates the per-person efficiency parameter corresponding to the house property project according to the number of the personnel, the scheduled delivery amount of each building and the delivery remaining time. The per-person performance parameter is calculated according to the planned delivery amount and the delivery remaining time, so that the per-person performance parameter in the real estate project construction period can be obtained.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for calculating per-person performance parameters according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a method for calculating per-person performance parameters according to the present invention;
fig. 4 is a flowchart illustrating a third embodiment of a method for calculating per-person performance parameters according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows:
acquiring each building of which the scheduled delivery time point is in a preset time period in a house project;
acquiring the scheduled delivery amount and the delivery remaining time of each building;
and acquiring the number of personnel corresponding to the property project, and calculating the per-capita efficiency parameter corresponding to the property project according to the number of personnel, the planned delivery amount of each building and the delivery remaining time.
In the prior art, the average performance parameter in the real estate project construction period cannot be obtained by using the current average performance parameter calculation method.
The invention provides a solution, which enables the per-capita performance parameter to be calculated according to the planned delivery amount and the delivery remaining time, thereby being capable of obtaining the per-capita performance parameter in the real estate project construction period.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include an operating system, a network communication module, a user interface module, and a calculation program of the per-person performance parameter.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; the processor 1001 may be configured to call the computation program of the per-person performance parameter stored in the memory 1005, and perform the following operations:
acquiring each building of which the scheduled delivery time point is in a preset time period in a house project;
acquiring the scheduled delivery amount and the delivery remaining time of each building;
and acquiring the number of personnel corresponding to the property project, and calculating the per-capita efficiency parameter corresponding to the property project according to the number of personnel, the planned delivery amount of each building and the delivery remaining time.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
acquiring the number of personnel corresponding to the real estate project;
taking the scheduled delivery amount of each building as a weighted value, and carrying out weighted average calculation on the delivery remaining time of each building to obtain average time;
and obtaining the per-capita efficiency parameter corresponding to the real estate project according to the average duration and the number of the personnel.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
acquiring a scheduled delivery time point in a delivery union associated with the building;
when the building is not associated with a delivery combination, acquiring a start-up time point and a standard construction period of the building, and calculating the scheduled delivery time point according to the start-up time point and the standard construction period;
and acquiring the buildings of which the scheduled delivery time points are in a preset time period.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
acquiring the building area of each building, and taking the building area as the planned delivery volume of each building;
and calculating the remaining delivery time length of each building according to the scheduled delivery time point and the current time point of each building.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
when the per-person efficacy parameter is smaller than or equal to a preset threshold value, acquiring manager information corresponding to the property project;
and sending reminding information to a terminal corresponding to the administrator information.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
and storing the per-capita efficacy parameters in association with the real estate project.
Further, the processor 1001 may call the calculation program of the per-person performance parameter stored in the memory 1005, and further perform the following operations:
when the current time point reaches a preset time point, acquiring the latest per-capita efficacy parameter of the property project and manager information corresponding to the property project;
and sending the latest per-person efficiency parameter to a terminal corresponding to the administrator information.
According to the scheme, the server acquires each building with the scheduled delivery time point in the house project in the preset time period, then acquires the scheduled delivery amount and the delivery remaining time of each building, further acquires the number of personnel corresponding to the house project, and calculates the per-person efficiency parameter corresponding to the house project according to the number of personnel, the scheduled delivery amount of each building and the delivery remaining time. The per-person performance parameter is calculated according to the planned delivery amount and the delivery remaining time, so that the per-person performance parameter in the real estate project construction period can be obtained.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of a calculation method of per-capita performance parameters according to the present invention, where the calculation method of per-capita performance parameters includes:
step S10, acquiring each building of which the scheduled delivery time point is in a preset time period in the house project;
the method for calculating the per-person performance parameters is mainly used for the field of project management, and particularly used for calculating the per-person performance parameters in real estate project management. The terminal related to the calculation method of the per-person efficacy parameter provided by the invention comprises but is not limited to a mobile phone, a tablet computer, a computer and the like, and related application systems are pre-loaded on the terminal and comprise but not limited to an APP (application program) or a webpage system and the like.
In real estate construction, a real estate project is generally divided into a plurality of stages for construction, each stage comprises a plurality of buildings, and due to the requirement of construction planning, the delivery time points of the buildings are different. In this embodiment, when data (e.g., a scheduled delivery time point of a building) in a property project is updated, or when a request for checking per-person performance parameters sent by a terminal is received, or when a current time point reaches a preset time point, a server acquires a scheduled delivery time point of each building included in the property project, and further acquires each building whose scheduled delivery time point is within a preset time period; it is to be understood that the preset time period may be set according to actual situations, and is not particularly limited again, for example, the preset time period may be set to 1 month and 1 day of the current year to 12 months and 31 days of the next year at the current time point.
Step S20, obtaining the scheduled delivery amount and the remaining delivery duration of each building;
and the server further acquires the scheduled delivery amount and the delivery remaining time of each building after acquiring each building of which the scheduled delivery time point is within the preset time period. The planned delivery amount of each building can be measured in various forms, for example, the number of rooms of each building can be used as the planned delivery amount, and preferably, the building area of each building is used as the planned delivery amount, that is, the server acquires the building area of each building and uses the building area as the planned delivery amount of each building. And calculating the remaining delivery time length of each building according to the scheduled delivery time point and the current time point of each building, wherein the remaining delivery time length of each building is specifically equal to the scheduled delivery time point minus the current time point of each building.
And step S30, acquiring the number of personnel corresponding to the property project, and calculating the per-capita efficacy parameter corresponding to the property project according to the number of personnel, the scheduled delivery amount of each building and the delivery remaining time.
After the planned delivery amount and the delivery remaining time from the server to each building, the server further obtains the number of staff corresponding to the property project, and then calculates the per-capita performance parameter corresponding to the property project according to the number of staff, the planned delivery amount and the delivery remaining time of each building.
Further, after the server calculates the per-capita efficiency parameter corresponding to the property project, when the per-capita efficiency parameter is smaller than or equal to a preset threshold value, the server acquires manager information corresponding to the property project and sends reminding information to a terminal corresponding to the manager information to remind the manager that the current per-capita efficiency parameter of the property project is low, so that the manager can adjust the personnel, resources and the like of the property project in time.
Further, after the server calculates and obtains the per-capita efficiency parameter corresponding to the property project, the per-capita efficiency parameter and the property project can be stored in a correlated mode so that a user can check historical per-capita efficiency parameters at any time; preferably, the server simultaneously stores the time points for calculating the per-person efficiency parameters, so that when the user views the historical per-person efficiency parameters, the time points of the historical per-person efficiency parameters can be obtained.
Further, a push time point (preset time point) of the per-capita performance parameter may be preset in the server, and when the current time point reaches the preset time point, the server obtains the latest per-capita performance parameter of the property project (i.e., the per-capita performance parameter closest to the current time point in the stored historical per-capita performance parameters) and the manager information corresponding to the property project, and sends the latest per-capita performance parameter to the terminal corresponding to the manager information. Preferably, the server may further calculate the per-capita performance parameter at the current time point when the current time point reaches the preset time point, and send the calculated per-capita performance parameter to the terminal corresponding to the administrator information, so that the pushed per-capita performance parameter may reflect the current per-capita performance.
According to the technical scheme provided by the embodiment, the server acquires each building of which the scheduled delivery time point is in the preset time period in the house property project, then acquires the scheduled delivery amount and the delivery remaining time of each building, further acquires the number of personnel corresponding to the house property project, and calculates the per-capita performance parameter corresponding to the house property project according to the number of personnel, the scheduled delivery amount and the delivery remaining time of each building. The per-person performance parameter is calculated according to the planned delivery amount and the delivery remaining time, so that the per-person performance parameter in the real estate project construction period can be obtained.
Further, referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the method for calculating the per-person performance parameter according to the present invention, wherein based on the first embodiment, the step S30 of refining includes:
step S31, acquiring the number of personnel corresponding to the property project;
step S32, taking the planned delivery volume of each building as a weighted value, and carrying out weighted average calculation on the delivery remaining duration of each building to obtain average duration;
and step S33, obtaining per-capita efficiency parameters corresponding to the real estate project according to the average duration and the number of the personnel.
The method comprises the steps that a server obtains each building of a planned delivery time point of a house property project within a preset time period, obtains a planned delivery amount and a delivery remaining time of each building, further obtains the number of staff corresponding to the house property project, firstly uses the planned delivery amount of each building as a weight value, carries out weighted average calculation on the delivery remaining time of each building to obtain an average time, then obtains a per-capita efficiency parameter corresponding to the house property project according to the average time and the number of staff, and specifically obtains the per-capita efficiency parameter corresponding to the house property projectAnd dividing the average duration by the number of the personnel to obtain the per-capita performance parameter of the project. That is, the server may calculate the per-person performance parameter of the property project according to the following formula:
Figure BDA0001906388090000081
wherein, lambda represents the per-capita efficiency parameter of the real estate project, i represents the building contained in the real estate project, AiIndicating the delivery amount of the building, BiRepresents the remaining delivery time of each building, K represents the number of persons corresponding to the house property item, A represents the total delivery amount of each building, namely
Figure BDA0001906388090000082
According to the technical scheme provided by the embodiment, the server acquires each building of the scheduled delivery time point of the house property item within the preset time period, acquires the scheduled delivery amount and the delivery remaining time of each building, further acquires the number of staff corresponding to the house property item, takes the scheduled delivery amount of each building as a weighted value, performs weighted average calculation on the delivery remaining time of each building to obtain average time, and then acquires the per-capita performance parameter corresponding to the house property item according to the average time and the number of staff. Therefore, the calculated per capita efficiency parameter is more suitable for the evaluation requirement of the real estate project.
Further, referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of the method for calculating the per-person performance parameter of the present invention, and based on the first or second embodiment, the step S10 of refining includes:
step S11, obtaining a scheduled delivery time point in a delivery union associated with the building;
step S12, when the building is not associated with a delivery combination, acquiring the operating time point and the standard construction period of the building, and calculating the scheduled delivery time point according to the operating time point and the standard construction period;
and step S13, acquiring the buildings of which the scheduled delivery time points are in the preset time period.
In reality, a certain time is required for selling the buildings constructed in the house property project, so that the situation that the delivery contract is associated after the buildings constructed in the house property project are operated, but the buildings constructed by the operation already reflect the workload of project personnel, and the buildings constructed by the operation but not associated with the delivery contract need to be considered when calculating the per-capita efficiency parameter. Therefore, in the present embodiment, when the building has signed a delivery contract, the scheduled delivery time point of the building is obtained by the scheduled delivery time point in the delivery contract, and when the building has not signed a delivery contract, the scheduled delivery time point of the building is calculated by the operating time point of the building and the standard construction period.
Specifically, when a building signs a delivery contract in a house property project, relevant personnel of the house property project can enter delivery contract information through a background and store the delivery contract information in association with the building, wherein the delivery contract information comprises a signed scheduled delivery time point. When calculation of the per-person performance parameter of the property project is required, the server acquires a delivery contract associated with the building in the property project, and then further acquires a scheduled delivery time point in the delivery contract. When the buildings are not associated with the delivery contract, the server acquires the work starting time point and the standard construction period of the buildings, and calculates the scheduled delivery time point according to the work starting time point and the standard construction period, specifically, the scheduled delivery time point of the buildings of the non-associated delivery contract is equal to the time point obtained by adding the work starting time point of the buildings and the standard construction period duration.
After the server acquires the scheduled delivery time point of each building, further acquiring each building of which the scheduled delivery time point is in a preset time period; then calculating to obtain the remaining delivery time length of each building according to the scheduled delivery time point and the current time point of each building, specifically, the remaining delivery time length of each building is equal to the time difference obtained by subtracting the current time point from the scheduled delivery time point of each building, and the building area of each building is obtained as the scheduled delivery amount; then, the number of staff corresponding to the property project is further acquired, the per-capita performance parameter corresponding to the property project is calculated according to the number of staff, the scheduled delivery volume of each building and the delivery remaining time, specifically, the scheduled delivery volume of each building is used as a weighted value, the delivery remaining time of each building is weighted and averaged to obtain an average time, then the per-capita performance parameter corresponding to the property project is obtained according to the average time and the number of staff, and specifically, the average time is divided by the number of staff to obtain the per-capita performance parameter of the project.
For example, when the preset time period is from 1 month and 1 day of the current time point to 31 months and 12 days of the next year, the server may calculate the per-capita performance parameter of the property project according to the following formula:
Figure BDA0001906388090000101
wherein, lambda represents the per-capita efficiency parameter of the real estate project, and K represents the number of staff corresponding to the real estate project; i represents a building whose delivery time point is at the scheduled delivery of the current year (i.e., the delivery contract has been made), aiRepresents the delivery amount (the determined delivery amount in the current year) of building i, xiRepresents the remaining delivery time of building i (the determined remaining delivery time of the delivery in the current year), and a represents the determined delivery amount in the current year, wherein
Figure BDA0001906388090000102
j represents a predetermined delivery building whose delivery time point is the next year, biRepresents the delivery amount (the determined next year delivery amount) of building j, yjRepresents the remaining delivery time of building j (the remaining delivery time of the determined next year delivery), and b represents the determined next year delivery amount, wherein
Figure BDA0001906388090000103
k represents a building whose delivery time point is not determined (i.e., a delivery contract is made), ckRepresents the delivery amount (undetermined delivery amount) z of building kkRepresents the remaining delivery time length (undetermined remaining delivery time length) of building k, and c represents an undetermined delivery amount, where
Figure BDA0001906388090000104
According to the technical scheme provided by the embodiment, a server acquires a scheduled delivery time point in a delivery combination associated with the buildings, acquires a work starting time point and a standard construction period of the buildings when the buildings are not associated with the delivery combination, calculates the scheduled delivery time point according to the work starting time point and the standard construction period, then acquires each building of which the scheduled delivery time point is in a preset time period, acquires a scheduled delivery amount and a delivery remaining time of each building and the number of staff for a house product project, and calculates a per-person performance parameter corresponding to the house product project according to the number of the staff, the scheduled delivery amount and the delivery remaining time of each building; because the buildings which are already in operation but are not associated with the delivery contract are also brought into the calculation range when the per-capita efficiency parameter is calculated, the per-capita efficiency parameter obtained by calculation is more in line with the actual situation.
In addition, to achieve the above object, an embodiment of the present invention further provides a computing apparatus for human-average performance parameters, wherein the computing apparatus for human-average performance parameters includes: the computing method of the per-person performance parameter includes a memory, a processor, and a computing program of the per-person performance parameter stored in the memory and executable on the processor, and when executed by the processor, the computing method of the per-person performance parameter according to any of the above embodiments is implemented.
In addition, to achieve the above object, an embodiment of the present invention further provides a storage medium, where a calculation program of the per-person performance parameter is stored on the storage medium, and when the calculation program of the per-person performance parameter is executed by a processor, the steps of the calculation method of the per-person performance parameter according to any one of the above embodiments are implemented.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (7)

1. The server-based processing method for the per-person performance parameters is characterized by comprising the following steps of:
the server acquires all buildings of which the scheduled delivery time points are in the preset time period in the house project;
the server acquires the scheduled delivery amount and the delivery remaining time of each building;
the server acquires the number of staff corresponding to the property project, and calculates the per-capita efficacy parameter corresponding to the property project according to the number of staff, the planned delivery amount of each building, the delivery remaining time and a preset formula;
when the per-person efficacy parameter is smaller than or equal to a preset threshold value, the server acquires manager information corresponding to the property project;
the server sends reminding information to a terminal corresponding to the administrator information;
the server associates and stores the per-capita efficiency parameter, the time point for calculating the per-capita efficiency parameter and the property project;
the method comprises the following steps that the server obtains the number of staff corresponding to the property project, and the step of calculating the per-capita efficiency parameter corresponding to the property project according to the number of staff, the planned delivery amount of each building, the delivery remaining time and a preset formula comprises the following steps:
the server acquires the number of the personnel corresponding to the property project;
the server takes the scheduled delivery amount of each building as a weighted value, and carries out weighted average calculation on the delivery remaining time of each building to obtain average time;
the server obtains per-person efficiency parameters corresponding to the real estate project according to the average duration and the number of the personnel;
wherein the preset formula is as follows:
Figure FDA0002950010000000011
lambda represents the per-capita efficiency parameter of the real estate project, and K represents the number of staff corresponding to the real estate project; i represents a building with a scheduled delivery at the same time point of delivery, aiRepresents the delivery amount, x, of building iiRepresenting the remaining delivery time of building i, and a representing the determined delivery amount of the current year; j represents a predetermined delivery building whose delivery time point is the next year, biRepresents the delivery amount of building j, yjRepresenting the remaining delivery time of building j, and b representing the determined next-year delivery amount; k represents a building whose delivery time point is undetermined, ckRepresents the delivery amount of building k, zkRepresenting buildings kA delivery remaining time period, c represents an undetermined delivery amount,
Figure FDA0002950010000000012
2. the server-based human performance parameter processing method according to claim 1, wherein the step of the server acquiring each building of the property project with the scheduled delivery time point in the preset time period comprises:
the server acquires a scheduled delivery time point in a delivery union associated with the building;
the server acquires the operating time point and the standard construction period of the building when the building is not associated with delivery combination, and calculates the scheduled delivery time point according to the operating time point and the standard construction period;
and the server acquires the buildings of which the scheduled delivery time points are in the preset time period.
3. The server-based human-average performance parameter processing method according to claim 1, wherein the step of the server obtaining the scheduled delivery amount and the delivery remaining time length of each building comprises:
the server acquires the building area of each building, and takes the building area as the planned delivery volume of each building;
and the server calculates the remaining delivery time length of each building according to the scheduled delivery time point and the current time point of each building.
4. The server-based per-person performance parameter processing method according to any one of claims 1-3, wherein after the step of calculating the per-person performance parameter corresponding to the property project according to the number of people corresponding to the property project, the scheduled delivery amount of each building, the remaining delivery time and a preset formula, the server further comprises:
and the server stores the per-person efficiency parameters and the real estate project in a correlation mode.
5. The method as claimed in claim 4, wherein the method further comprises:
when the current time point reaches a preset time point, the server acquires the latest per-capita efficiency parameter of the property project and manager information corresponding to the property project;
and the server sends the latest per-person efficiency parameter to a terminal corresponding to the administrator information.
6. An apparatus for calculating an average human performance parameter, the apparatus comprising: memory, processor and a program for computing a human-average performance parameter stored on the memory and executable on the processor, the program for computing a human-average performance parameter when executed by the processor implementing the steps of the method for processing a human-average performance parameter based on a server according to any one of claims 1 to 5.
7. A storage medium, wherein the storage medium stores thereon a calculation program of per-person performance parameter, and the calculation program of per-person performance parameter is executed by a processor to implement the steps of the server-based per-person performance parameter processing method according to any one of claims 1 to 5.
CN201811540572.3A 2018-12-14 2018-12-14 Calculation method and device for per-person efficiency parameter and storage medium Active CN109636202B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811540572.3A CN109636202B (en) 2018-12-14 2018-12-14 Calculation method and device for per-person efficiency parameter and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811540572.3A CN109636202B (en) 2018-12-14 2018-12-14 Calculation method and device for per-person efficiency parameter and storage medium

Publications (2)

Publication Number Publication Date
CN109636202A CN109636202A (en) 2019-04-16
CN109636202B true CN109636202B (en) 2021-05-18

Family

ID=66074535

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811540572.3A Active CN109636202B (en) 2018-12-14 2018-12-14 Calculation method and device for per-person efficiency parameter and storage medium

Country Status (1)

Country Link
CN (1) CN109636202B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104504615A (en) * 2014-12-17 2015-04-08 广东电网有限责任公司佛山供电局 Data processing method and system for monitoring electric power operation cost
CN106096905A (en) * 2016-05-31 2016-11-09 北京诚公通信工程监理股份有限公司 A kind of project management method and system
CN107679820A (en) * 2017-08-30 2018-02-09 深圳市易联智道科技有限公司 Construction Schedule management method
CN108171442A (en) * 2018-01-18 2018-06-15 深圳市伟博思技术有限公司 A kind of Intelligent Dynamic project management method and relevant device

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104504615A (en) * 2014-12-17 2015-04-08 广东电网有限责任公司佛山供电局 Data processing method and system for monitoring electric power operation cost
CN106096905A (en) * 2016-05-31 2016-11-09 北京诚公通信工程监理股份有限公司 A kind of project management method and system
CN107679820A (en) * 2017-08-30 2018-02-09 深圳市易联智道科技有限公司 Construction Schedule management method
CN108171442A (en) * 2018-01-18 2018-06-15 深圳市伟博思技术有限公司 A kind of Intelligent Dynamic project management method and relevant device

Also Published As

Publication number Publication date
CN109636202A (en) 2019-04-16

Similar Documents

Publication Publication Date Title
US10474957B2 (en) Method and apparatus for forecasting characteristic information change
US8260321B1 (en) Systems and methods for event attendance notification
CN109657899B (en) Item processing method, device, equipment and readable storage medium
CN110490651B (en) Information pushing method, device, equipment and computer readable storage medium
US20170024706A1 (en) Specifically programmed computer-implemented engine systems for real-time on-demand discovery of available time slots across programmed schedule objects and methods of use thereof
CN105468161A (en) Instruction execution method and device
CN111582771A (en) Risk assessment method, device, equipment and computer readable storage medium
CN114564294A (en) Intelligent service arranging method and device, computer equipment and storage medium
CN112052975A (en) Bank outlet personnel scheduling method and device
US10423930B2 (en) Schedule management system, non-transitory computer readable medium, and schedule management method
CN111311312A (en) Advertisement effect evaluation method, display terminal and computer-readable storage medium
CN106156123B (en) Active value calculation method and device
CN112489236B (en) Attendance data processing method and device, server and storage medium
CN110766470A (en) Method, device, equipment and storage medium for setting advertisement account delivery data
JP2015167279A (en) Required staff number calculation device, required staff number calculation method, and program
CN109636202B (en) Calculation method and device for per-person efficiency parameter and storage medium
CN113077139A (en) Process configuration method, device, equipment and computer readable storage medium
CN112860662A (en) Data blood relationship establishing method and device, computer equipment and storage medium
CN110598131B (en) Method and device for determining user resident area, storage medium and electronic equipment
CN112396314A (en) Task allocation method and device, electronic equipment and storage medium
CN110347973B (en) Method and device for generating information
CN113935069B (en) Data verification method, device and equipment based on block chain and storage medium
CN106611100B (en) User behavior analysis method and device
CN113988779A (en) Attendance checking method and device for outworkers, storage medium and computer equipment
CN110674366B (en) OGNL expression language-based data distribution method, electronic device and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant