CN112257981A - Intelligent automatic scheduling method and system - Google Patents
Intelligent automatic scheduling method and system Download PDFInfo
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- CN112257981A CN112257981A CN202011006943.7A CN202011006943A CN112257981A CN 112257981 A CN112257981 A CN 112257981A CN 202011006943 A CN202011006943 A CN 202011006943A CN 112257981 A CN112257981 A CN 112257981A
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000012545 processing Methods 0.000 claims description 5
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 238000010276 construction Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06316—Sequencing of tasks or work
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- 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
Abstract
The invention discloses an intelligent automatic scheduling method, which comprises the steps of obtaining data to be scheduled; counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled; counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled; taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled; determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the duration of the personnel to be scheduled so as to automatically schedule the data to be scheduled; and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
Description
Technical Field
The invention relates to the technical field of intelligence, in particular to an intelligent automatic scheduling method.
Background
In recent years, in the research and development and application processes of personnel shift scheduling information systems, various information subsystems mostly adopt a distributed construction scheme, are independent from each other, cannot realize integration, integration and sharing of informatization, and are lack of collision and linkage application of data information. Therefore, an intelligent dynamic personnel scheduling information management and control system needs to be built, a dynamic personnel scheduling management mechanism, a flat command scheduling mechanism and an integrated public informatization resource are built by taking visual management and control scheduling construction as a target, and dynamic monitoring on personnel scheduling resources is realized. Therefore, how to carry out intelligent dynamic automatic scheduling on the existing personnel scheduling management becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
In order to solve the technical problems in the background technology, the invention provides an intelligent automatic scheduling method and system.
The invention provides an intelligent automatic scheduling method, which comprises the following steps:
acquiring data to be scheduled;
counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled;
counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled;
determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the duration of the personnel to be scheduled so as to automatically schedule the data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
Optionally, the counting is right in the process of automatically scheduling the staff to be scheduled, the number of times of scheduling of the staff to be scheduled includes:
loading the scheduled times of the personnel to be scheduled;
and selecting two appearance frequencies with the minimum values from the appearance frequencies of the personnel to be scheduled to carry out the weighting of the number of times of the scheduled work, obtaining the weighted appearance frequencies, and sequencing the appearance frequencies of the personnel to be scheduled again.
Optionally, in the occurrence frequencies of the staff to be scheduled, selecting two occurrence frequencies with the minimum values to perform weighting on the number of times of being scheduled, obtaining the weighted occurrence frequencies, and reordering the occurrence frequencies of the staff to be scheduled, where the method includes:
determining identification information of the staff to be scheduled, wherein the type of the identification information is a number;
loading the set first identification information and second identification information;
selecting the occurrence frequency of two minimum second identification information values from the occurrence frequencies of the personnel to be scheduled to perform weighting of first identification information of scheduled times to obtain the weighted occurrence frequency;
the first identification information represents the number of times of shift scheduling, and the second identification information represents the occurrence frequency.
Optionally, in the occurrence frequencies of the staff to be scheduled, selecting two occurrence frequencies with the minimum values to perform weighting on the number of times of being scheduled, obtaining the weighted occurrence frequencies, and reordering the occurrence frequencies of the staff to be scheduled, where the method includes:
and recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
An intelligent automatic shift scheduling system, comprising:
the first acquisition module is used for acquiring data to be scheduled;
the first statistical module is used for counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled;
the second statistical module is used for counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
the first processing module is used for taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled;
the first determining module is used for determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the time length of the personnel to be scheduled so as to automatically schedule the data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
Optionally, the second statistical module includes:
the first loading submodule is used for loading the scheduled times of the personnel to be scheduled;
and the first statistic submodule is used for selecting the occurrence frequency with the minimum two values from the occurrence frequencies of the staff to be scheduled to be weighted by the number of times of scheduling, obtaining the weighted occurrence frequency and reordering the occurrence frequencies of the staff to be scheduled again.
Optionally, the first statistical submodule includes:
the first determining unit is used for determining the identification information of the staff to be scheduled, and the type of the identification information is a number;
the first loading unit is used for loading the set first identification information and the second identification information;
and the first merging unit is used for selecting the occurrence frequency with the minimum two pieces of second identification information from the occurrence frequencies of the personnel to be scheduled to perform weighted first identification information of the scheduled times to obtain the weighted occurrence frequency.
Optionally, the second statistical module includes:
and the first recording unit is used for recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
The intelligent automatic scheduling method provided by the application acquires data to be scheduled; counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled; counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled; taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled; determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the duration of the personnel to be scheduled so as to automatically schedule the data to be scheduled; and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel. In the application, the number of times of scheduling of the staff to be scheduled is used as the duration of the staff to be scheduled, so that data superposition is facilitated; and in the process of automatically scheduling the personnel to be scheduled, the generation of continuous scheduling of the same scheduling personnel is forbidden, so that the scheduling property is conveniently and uniformly processed, and the intelligent automatic processing of the scheduling is favorably realized. The application provides an automatic scheduling system of intelligence has also solved corresponding technical problem.
Drawings
Fig. 1 is a flow chart of an intelligent automatic shift scheduling method according to the present invention.
Detailed Description
As shown in fig. 1, fig. 1 is a schematic structural diagram of an intelligent automatic shift scheduling method according to the present invention.
Referring to fig. 1, the intelligent automatic shift scheduling method provided by the invention comprises the following steps:
acquiring data to be scheduled;
counting the occurrence frequency of the personnel to be scheduled and the personnel to be scheduled in the data to be scheduled;
counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled;
determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the time length of the personnel to be scheduled so as to automatically schedule the data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
Optionally, in the process of automatically scheduling the to-be-scheduled staff, the number of times of scheduling the to-be-scheduled staff is counted, and the counting method includes:
loading the scheduled times of the personnel to be scheduled;
and selecting two occurrence frequencies with the minimum values from the occurrence frequencies of the staff to be scheduled to carry out weighting on the number of times of being scheduled to obtain the weighted occurrence frequencies, and sequencing the occurrence frequencies of the staff to be scheduled again.
Optionally, in the occurrence frequencies of the staff to be scheduled, two occurrence frequencies with the minimum values are selected for weighting the number of times of being scheduled, so as to obtain the weighted occurrence frequencies, and the occurrence frequencies of the staff to be scheduled are sorted again, including:
determining identification information of a person to be scheduled, wherein the type of the identification information is a number;
loading the set first identification information and second identification information;
selecting the occurrence frequency of two minimum second identification information values from the occurrence frequencies of the staff to be scheduled to perform weighting of the first identification information of the scheduled times to obtain the weighted occurrence frequency;
the first identification information represents the number of times of shift scheduling, and the second identification information represents the occurrence frequency.
Optionally, in the occurrence frequencies of the staff to be scheduled, two occurrence frequencies with the minimum values are selected for weighting the number of times of being scheduled, so as to obtain the weighted occurrence frequencies, and the occurrence frequencies of the staff to be scheduled are sorted again, including:
and recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
An intelligent automatic shift scheduling system, comprising:
the first acquisition module is used for acquiring data to be scheduled;
the first statistical module is used for counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled;
the second statistical module is used for counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
the first processing module is used for taking the number of times of scheduling of the personnel to be scheduled as the duration of the personnel to be scheduled;
the system comprises a first determining module, a second determining module and a scheduling module, wherein the first determining module is used for determining the automatic scheduling value of a person to be scheduled based on the occurrence frequency of the person to be scheduled and the time length of the person to be scheduled so as to perform automatic scheduling on data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
Optionally, the second statistical module includes:
the first loading submodule is used for loading the scheduled times of the personnel to be scheduled;
and the first statistical submodule is used for selecting two occurrence frequencies with the minimum values from the occurrence frequencies of the staff to be scheduled to carry out the weighting of the number of times of the staff to be scheduled, obtaining the weighted occurrence frequencies and sequencing the occurrence frequencies of the staff to be scheduled again.
Optionally, the first statistical submodule includes:
the system comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for determining identification information of a person to be scheduled, and the type of the identification information is a number;
the first loading unit is used for loading the set first identification information and the second identification information;
and the first merging unit is used for selecting the occurrence frequency with the minimum two second identification information from the occurrence frequencies of the staff to be scheduled to carry out the weighting of the first identification information with the scheduled times to obtain the weighted occurrence frequency.
Optionally, the second statistical module includes:
and the first recording unit is used for recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
In the embodiment, the intelligent automatic scheduling method obtains data to be scheduled; counting the occurrence frequency of the personnel to be scheduled and the personnel to be scheduled in the data to be scheduled; counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled; taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled; determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the time length of the personnel to be scheduled so as to automatically schedule the data to be scheduled; and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel. In the application, the number of times of scheduling of the personnel to be scheduled is used as the duration of the personnel to be scheduled, so that data superposition is facilitated; and in the process of automatically scheduling the to-be-scheduled workers, the same scheduling workers are forbidden to be generated for continuous scheduling, so that the scheduling properties are conveniently processed in a unified manner, and the intelligent automatic processing of the scheduling is favorably realized. The beneficial effects of the intelligent automatic scheduling system provided by the embodiment are similar, and are not repeated here.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. An intelligent automatic scheduling method is characterized by comprising the following steps:
acquiring data to be scheduled;
counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled;
counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled;
determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the duration of the personnel to be scheduled so as to automatically schedule the data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
2. The method of claim 1, wherein the counting the number of times the person to be scheduled is scheduled in the automatic scheduling process of the person to be scheduled comprises:
loading the scheduled times of the personnel to be scheduled;
and selecting two appearance frequencies with the minimum values from the appearance frequencies of the personnel to be scheduled to carry out the weighting of the number of times of the scheduled work, obtaining the weighted appearance frequencies, and sequencing the appearance frequencies of the personnel to be scheduled again.
3. The method according to claim 2, wherein the selecting two occurrence frequencies with the minimum values from the occurrence frequencies of the staff to be scheduled to weight the number of times of the staff to be scheduled to obtain the weighted occurrence frequencies, and reordering the occurrence frequencies of the staff to be scheduled, comprises:
determining identification information of the staff to be scheduled, wherein the type of the identification information is a number;
loading the set first identification information and second identification information;
selecting the occurrence frequency of two minimum second identification information values from the occurrence frequencies of the personnel to be scheduled to perform weighting of first identification information of scheduled times to obtain the weighted occurrence frequency;
the first identification information represents the number of times of shift scheduling, and the second identification information represents the occurrence frequency.
4. The method according to claim 3, wherein the selecting two occurrence frequencies with the minimum values from the occurrence frequencies of the staff to be scheduled to weight the number of times of the staff to be scheduled to obtain the weighted occurrence frequencies, and reordering the occurrence frequencies of the staff to be scheduled again comprises:
and recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
5. An intelligent automatic shift scheduling system, comprising:
the first acquisition module is used for acquiring data to be scheduled;
the first statistical module is used for counting the staff to be scheduled and the occurrence frequency of the staff to be scheduled in the data to be scheduled;
the second statistical module is used for counting the number of times of scheduling of the personnel to be scheduled in the process of automatically scheduling the personnel to be scheduled;
the first processing module is used for taking the number of times of scheduling of the staff to be scheduled as the duration of the staff to be scheduled;
the first determining module is used for determining an automatic scheduling value of the personnel to be scheduled based on the occurrence frequency of the personnel to be scheduled and the time length of the personnel to be scheduled so as to automatically schedule the data to be scheduled;
and forbidding the same shift arrangement personnel to generate continuous shift arrangement in the process of automatically arranging the shift arrangement personnel.
6. The system of claim 5, wherein the second statistics module comprises:
the first loading submodule is used for loading the scheduled times of the personnel to be scheduled;
and the first statistic submodule is used for selecting the occurrence frequency with the minimum two values from the occurrence frequencies of the staff to be scheduled to be weighted by the number of times of scheduling, obtaining the weighted occurrence frequency and reordering the occurrence frequencies of the staff to be scheduled again.
7. The system of claim 6, wherein the first statistics module comprises:
the first determining unit is used for determining the identification information of the staff to be scheduled, and the type of the identification information is a number;
the first loading unit is used for loading the set first identification information and the second identification information;
and the first merging unit is used for selecting the occurrence frequency with the minimum two pieces of second identification information from the occurrence frequencies of the personnel to be scheduled to perform weighted first identification information of the scheduled times to obtain the weighted occurrence frequency.
8. The system of claim 7, wherein the second statistics module comprises:
and the first recording unit is used for recording corresponding data according to formats of the personnel to be scheduled, the first identification information and the second identification information.
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| CN202011006943.7A CN112257981A (en) | 2020-09-23 | 2020-09-23 | Intelligent automatic scheduling method and system |
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| CN202011006943.7A CN112257981A (en) | 2020-09-23 | 2020-09-23 | Intelligent automatic scheduling method and system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113706026A (en) * | 2021-08-31 | 2021-11-26 | 安徽施耐德成套电气有限公司 | Power equipment maintenance personnel scheduling and allocating system based on big data |
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| CN108076236A (en) * | 2016-11-14 | 2018-05-25 | 平安科技（深圳）有限公司 | Scheduling method and device |
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2020
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| US20080300954A1 (en) * | 2007-05-30 | 2008-12-04 | Jeffrey Scott Cameron | Systems and Methods of Automatically Scheduling a Workforce |
| CN103325024A (en) * | 2013-07-18 | 2013-09-25 | 北京影合众新媒体技术服务有限公司 | Intelligent scheduling system |
| CN108076236A (en) * | 2016-11-14 | 2018-05-25 | 平安科技（深圳）有限公司 | Scheduling method and device |
| CN106815720A (en) * | 2017-01-19 | 2017-06-09 | 携程旅游信息技术（上海）有限公司 | The global adaptation system and method for automatic scheduling |
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| CN113706026A (en) * | 2021-08-31 | 2021-11-26 | 安徽施耐德成套电气有限公司 | Power equipment maintenance personnel scheduling and allocating system based on big data |
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