CN115511397A - Intelligent work order data dispatching method and system - Google Patents

Intelligent work order data dispatching method and system Download PDF

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CN115511397A
CN115511397A CN202211469925.1A CN202211469925A CN115511397A CN 115511397 A CN115511397 A CN 115511397A CN 202211469925 A CN202211469925 A CN 202211469925A CN 115511397 A CN115511397 A CN 115511397A
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王强
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Guangdong Huaju Technology Co ltd
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Abstract

The invention relates to a work order data intelligent dispatching method and a system, belonging to the technical field of data processing, wherein the method comprises the following steps: when the number of each type of fault work orders is larger than or equal to the number of maintenance personnel to be scheduled, which can process the type of fault, the probability that each maintenance personnel to be scheduled is allocated to each fault work order is determined according to the distance between a fault place on the fault work orders and the maintenance personnel to be scheduled; when the number of each type of fault work orders is smaller than the number of maintenance personnel to be scheduled, which can process the type of fault, determining the weighted reciprocal distance according to the tractability value of each type of fault work orders and the personal ability value of each maintenance personnel to be scheduled, and determining the probability that each maintenance personnel to be scheduled is allocated to each fault work order according to the weighted reciprocal distance; and finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is allocated to each fault work order. The invention realizes the reasonable distribution of the maintenance personnel to be scheduled.

Description

Intelligent work order data dispatching method and system
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a work order data intelligent dispatching method and system.
Background
With the improvement of the living standard of people, household appliances become necessities of the life of residents, besides traditional household appliances, different types of household appliances are produced at the same time in order to meet the personalized requirements of daily life of people, such as living household appliances, kitchen household appliances, mother and infant household appliances and the like, the types of the household appliances are numerous, household appliance manufacturers on the market are more and more increased in order to meet the requirements of the market on various household appliances, but with the increasingly wide application of the household appliances, some problems are gradually exposed, such as the after-sale maintenance problem of the household appliances.
For household electrical appliance manufacturers, if an after-sale service system is independently constructed in every part of the country, a large amount of financial resources and material resources are wasted, and if the problem is not timely solved for a client, loss of the client is caused.
The dispatching and dispatching of the work orders occupy an important position in the whole service platform, the dispatching of the work orders refers to the fact that work tasks are distributed to specific maintenance personnel for after-sales maintenance, a customer can send fault types through the service platform, the service platform automatically counts the total number of all fault work orders in each area in the current period to be distributed, and distributes the fault work orders to corresponding maintenance personnel according to the types of the fault work orders, so that the quick dispatching of the work orders is achieved, the missed work orders and the overstocked tasks are reduced, and the maintenance efficiency is improved; however, in the intelligent order dispatching system in the prior art, the intelligent and rapid order dispatching is generally performed according to the responsible area of the maintenance personnel, the fault type, the user-defined skill tag and the distance between the fault work order, the user-defined skill tag is the type capable of processing the fault, the specific order dispatching process is that the maintenance personnel capable of processing various faults are classified according to the fault types, according to the fault types of the work order, all maintenance personnel who can handle this type of trouble send the order according to with the distance between the trouble place, and this kind of mode of sending the order can make the difference of traffic between the maintenance personnel that the maintenance skill is more and the maintenance personnel that the maintenance skill is less too big, leads to the maintenance personnel that the maintenance skill is more busy easily, and the maintenance personnel that the maintenance skill is less appears idle, leads to maintenance personnel's scheduling mode unreasonable.
Disclosure of Invention
When the number of each type of fault work orders in a target area is more than or equal to the number of maintenance personnel to be scheduled, which can process the type of faults, the hands of the maintenance personnel to be scheduled, which can process the type of faults, are in short supply and are directly distributed according to the distance; when the number of each type of fault work orders in the target area is smaller than the number of to-be-scheduled maintenance personnel capable of processing the type of fault, the probability that each to-be-scheduled maintenance personnel capable of processing each type of fault is allocated to each type of fault work order is determined by combining the tractability value of the fault work order and the personal capacity of the to-be-scheduled maintenance personnel, so that the reasonable allocation of the to-be-scheduled maintenance personnel is realized, and the situations that maintenance personnel with more maintenance skills are busy and maintenance personnel with less maintenance skills are idle are avoided.
The invention discloses an intelligent work order data dispatching method, which adopts the following technical scheme:
acquiring the number of each type of fault work orders in the current to-be-distributed time period of the target area and the number of to-be-scheduled maintenance personnel capable of processing each type of fault;
when the number of each type of fault work orders in the target area is larger than or equal to the number of maintenance personnel to be scheduled, which can process the type of faults, the probability that each maintenance personnel to be scheduled, which can process each type of faults, is allocated to each fault work order is determined according to the distance between the fault location on each type of fault work order and the position of each maintenance personnel to be scheduled, which can process the type of faults;
when the number of each type of fault work orders in the target area is smaller than the number of maintenance personnel to be scheduled, which can process the type of fault, a first product of the total number of all fault work orders in the current period to be allocated in the target area and the total number of all maintenance personnel to be scheduled is calculated, and a second product of the number of each type of fault work orders in the current period to be allocated in the target area and the number of maintenance personnel to be scheduled, which can process the type of fault, is calculated;
taking a first ratio of the second product and the first product as a tractability value of each type of fault work order in the target area;
acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current period to be allocated in the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal capability value of each maintenance person to be scheduled;
determining the weight value of each type of fault work order distributed to each maintenance person to be scheduled according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance person to be scheduled;
determining the probability that each maintenance person to be scheduled, which can process each type of fault, is allocated to each fault work order according to the weight value of each maintenance person to be scheduled, which is allocated to each fault work order, and the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault;
and finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is allocated to each fault work order.
Further, the step of determining the probability that each maintenance person to be scheduled, which can process each type of fault, is assigned to each fault work order of the type according to the distance between the fault location on each fault work order of the type and the position of each maintenance person to be scheduled, which can process the type of fault, includes:
and taking the reciprocal of the distance between the fault location on each fault work order of each type and the position of each maintenance person to be scheduled, which can process the fault, as the probability that each maintenance person to be scheduled, which can process each type of fault, is allocated to each fault work order of the type.
Further, the step of determining the weight value of each type of fault work order to be allocated to each maintenance person to be scheduled according to the tractability value of each type of fault work order and the personal ability value of each maintenance person to be scheduled in the current period to be allocated in the target area comprises the following steps:
acquiring a first square value of the tractability value of each type of fault work order in the current period to be allocated in the target area;
the personal ability value of each maintenance person to be scheduled is used as a negative index of an index function to obtain a normalized personal ability value of each maintenance person to be scheduled, and a second square value of the normalized personal ability value is calculated;
and determining the weight value of each fault work order to be distributed to each maintenance person to be dispatched according to the first square value corresponding to each fault work order in the current period to be distributed of the target area and the second square value corresponding to each maintenance person to be dispatched.
Further, the step of determining the probability that each maintenance person to be scheduled, which can process each type of fault, is assigned to each fault work order according to the weight value assigned to each maintenance person to be scheduled by each type of fault work order and the distance between the fault location on each fault work order in each type and the position of each maintenance person to be scheduled, which can process the type of fault, includes:
and weighting the reciprocal distance between the fault location on each type of fault work order and the position of each to-be-scheduled maintenance person capable of processing the type of fault by using the weight value of each to-be-scheduled maintenance person to which each type of fault work order is assigned, so as to obtain a weighted reciprocal distance, and taking the weighted reciprocal distance as the probability that each to-be-scheduled maintenance person capable of processing each type of fault is assigned to each type of fault work order.
Further, the probability calculation formula of each maintenance worker to be scheduled of each type of fault being allocated to each fault work order of the type is as follows:
Figure 139523DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE003
indicating processable
Figure 774772DEST_PATH_IMAGE004
Class III fault
Figure DEST_PATH_IMAGE005
The maintenance personnel to be scheduled are assigned to
Figure 164296DEST_PATH_IMAGE004
In class fault
Figure 621823DEST_PATH_IMAGE006
Probability of individual fault work orders;
Figure 747779DEST_PATH_IMAGE005
denotes the first
Figure 366979DEST_PATH_IMAGE005
A maintenance person to be scheduled;
Figure 447062DEST_PATH_IMAGE004
denotes the first
Figure 442700DEST_PATH_IMAGE004
A class failure;
Figure DEST_PATH_IMAGE007
is shown as
Figure 95267DEST_PATH_IMAGE004
In class fault
Figure 150948DEST_PATH_IMAGE006
A fault work order;
Figure 951282DEST_PATH_IMAGE008
is shown as
Figure 485032DEST_PATH_IMAGE004
The number of the similar fault work orders distributed to the target area in the current period to be distributed;
Figure DEST_PATH_IMAGE009
indicating that the target area can be processed the first within the current period to be allocated
Figure 618204DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault;
Figure 625212DEST_PATH_IMAGE010
is shown as
Figure 663575DEST_PATH_IMAGE004
In class fault
Figure 751748DEST_PATH_IMAGE006
The fault place on the fault work order and the first-to-be-processed
Figure 457536DEST_PATH_IMAGE004
Class iii fault of the first
Figure 104287DEST_PATH_IMAGE005
The reciprocal of the distance between the positions of the maintenance personnel to be dispatched; when in use
Figure DEST_PATH_IMAGE011
When it is, the target area is shown as
Figure 708575DEST_PATH_IMAGE004
The number of the fault-like work orders is more than or equal to that of the processable first
Figure 958028DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault; when in use
Figure 518322DEST_PATH_IMAGE012
Indicating the target region
Figure 571860DEST_PATH_IMAGE004
The number of fault-like work orders is less than that of the processable second
Figure 584816DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault;
Figure DEST_PATH_IMAGE013
to show the eyesThe total number of all fault work orders in the current period to be allocated in the standard area;
Figure 575643DEST_PATH_IMAGE014
the total number of all maintenance personnel to be scheduled in the current period to be allocated in the target area is represented;
Figure DEST_PATH_IMAGE015
is composed of
Figure 646236DEST_PATH_IMAGE016
The combination of (a) and (b) is carried out,
Figure DEST_PATH_IMAGE017
indicating that the target area is within the current period to be allocated
Figure 932992DEST_PATH_IMAGE004
The number of the similar fault work orders accounts for the total number of all the fault work orders;
Figure 433244DEST_PATH_IMAGE018
indicating that the target area is processable within the current period to be allocated
Figure 758920DEST_PATH_IMAGE004
The number of the maintenance personnel to be scheduled of the similar fault accounts for the total number of all the maintenance personnel to be scheduled;
Figure 778960DEST_PATH_IMAGE015
indicating that the target area is within the current period to be allocated
Figure 954727DEST_PATH_IMAGE004
The easy-to-handle degree value of the fault-like work order;
Figure DEST_PATH_IMAGE019
indicating that the target area is the first in the current period to be allocated
Figure 253859DEST_PATH_IMAGE005
Person to be scheduled and maintainedThe number of fault types that a person can handle;
Figure 291216DEST_PATH_IMAGE020
representing the total number of types of faults that the maintenance company can handle in the target area;
Figure DEST_PATH_IMAGE021
is shown as
Figure 484472DEST_PATH_IMAGE005
Personal ability value of each maintenance person to be scheduled;
Figure 831140DEST_PATH_IMAGE022
representing an exponential function.
Further, according to the probability that each maintenance worker to be scheduled of each type of fault is allocated to each fault work order of the type, the step of completing the dispatch of each fault work order comprises the following steps:
when the probability that any maintenance person to be scheduled of any type of fault is allocated to any fault work order is the maximum, allocating the maintenance person to be scheduled to the fault work order;
and similarly, the dispatching of each type of fault work order in the current period to be distributed in the target area is completed.
Further, the number of to-be-scheduled maintenance personnel capable of processing each type of fault is obtained according to the following steps:
obtaining maintenance personnel who have finished card punching in the current period to be allocated in the target area, and recording as determined maintenance personnel;
acquiring maintenance personnel of a target area which reach the predicted completion time within the current period to be allocated but are not finished by punching a card, and recording the maintenance personnel as the maintenance personnel to be allocated;
acquiring the longest time for processing each type of fault in the historical data of each person to be maintained, and acquiring the average time for processing each type of fault in the historical data of each person to be maintained;
the difference between the longest time for processing each type of fault in the historical data of each to-be-determined maintenance person and the average time is rounded up to obtain the maximum deviation value for processing each type of fault by each to-be-determined maintenance person;
when the maximum deviation value of each to-be-treated maintenance person for treating each type of fault is smaller than or equal to a preset first threshold value, taking the to-be-treated maintenance person as a newly-added to-be-scheduled maintenance person for treating the type of fault;
and adding newly-added maintenance personnel to be scheduled, which can process each type of fault in the current period to be allocated in the target area, and the determined maintenance personnel to be scheduled to obtain the number of the maintenance personnel to be scheduled, which can process each type of fault.
Further, the calculation formula of the maximum deviation value of each type of fault processed by each maintenance person to be determined is as follows:
Figure 915771DEST_PATH_IMAGE024
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE025
is shown as
Figure 317671DEST_PATH_IMAGE005
The undetermined maintenance personnel process
Figure 46724DEST_PATH_IMAGE004
Maximum deviation value of class fault;
Figure 564293DEST_PATH_IMAGE026
is shown as
Figure 510121DEST_PATH_IMAGE005
The undetermined maintenance personnel process
Figure 138548DEST_PATH_IMAGE004
Maximum time to class failure;
Figure DEST_PATH_IMAGE027
is shown as
Figure 50004DEST_PATH_IMAGE005
To be located maintenance personnel the
Figure 722162DEST_PATH_IMAGE028
Second treatment of
Figure 906019DEST_PATH_IMAGE004
The time of the class failure is determined,
Figure DEST_PATH_IMAGE029
is shown as
Figure 151187DEST_PATH_IMAGE005
Processing historical data of each person to be maintained
Figure 212421DEST_PATH_IMAGE004
Total number of class failures;
Figure 822525DEST_PATH_IMAGE030
is shown as
Figure 228099DEST_PATH_IMAGE005
Processing the historical data of the undetermined maintenance personnel
Figure 713176DEST_PATH_IMAGE004
Mean time to class failure;
Figure DEST_PATH_IMAGE031
indicating a rounded up symbol.
An intelligent work order data dispatch system comprising:
the data acquisition module is used for acquiring the number of each type of fault work orders in the current period to be allocated in the target area and the number of to-be-scheduled maintenance personnel capable of processing each type of fault;
the first distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault, when the number of each type of fault work orders in the target area is greater than or equal to the number of maintenance persons to be scheduled, which can process the type of fault;
the tractability value calculation module is used for calculating a first product of the total number of all fault work orders and the total number of all maintenance personnel to be dispatched in the current period to be allocated in the target area when the number of each type of fault work orders in the target area is less than the number of the maintenance personnel to be dispatched, which can process the type of fault, and simultaneously calculating a second product of the number of each type of fault work orders and the number of the maintenance personnel to be dispatched, which can process the type of fault, in the current period to be allocated in the target area; the first ratio of the second product to the first product is used as a tractability value of each type of fault work order in the target area;
the personal ability value calculation module is used for acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current period to be distributed in the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal ability value of each maintenance person to be scheduled;
the weighted value calculating module is used for determining the weighted value of each type of fault work order distributed to each maintenance person to be dispatched according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance person to be dispatched;
the second distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the weight value distributed to each maintenance person to be scheduled by each type of fault work order and the distance between the fault position on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault;
and the fault work order dispatching module is used for finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is distributed to each fault work order.
The invention has the beneficial effects that:
the intelligent work order data dispatching method and system provided by the invention are optimized aiming at the problem that the traditional work order dispatching mode causes too large difference of the service volume between a maintenance person with more maintenance skills and a maintenance person with less maintenance skills; when the number of the fault work orders of each type in the target area is larger than or equal to the number of the maintenance personnel to be scheduled, which can process the type of fault, the hands of the maintenance personnel to be scheduled, which can process the type of fault, are proved to be in short supply and are directly distributed according to the distance; when the number of each type of fault work orders in the target area is smaller than the number of to-be-scheduled maintenance personnel capable of processing the type of fault, the probability that each to-be-scheduled maintenance personnel capable of processing the type of fault is allocated to each fault work order is determined by combining the easy-processing degree value of each type of fault work order and the personal capability value of each to-be-scheduled maintenance personnel, the probability that each maintenance personnel with single skills is allocated to a plurality of easy-to-process work orders is increased, the probability that the maintenance personnel with the plurality of skills is allocated to a cold door work order is increased, the difference of the frequency of the work orders among different maintenance personnel is reduced, expected factors are blended, work order dispatching, idle periods and vacuum periods of personnel scheduling are greatly reduced, the scheduling efficiency and the customer experience of the maintenance personnel are improved, and the maintenance service of enterprises is enabled to be better.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flowchart of an intelligent work order data dispatching method of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention relates to a method for intelligently dispatching work order data, which comprises the following steps of:
s1, acquiring the number of each type of fault work orders of a target area in a current period to be allocated and the number of to-be-scheduled maintenance personnel capable of processing each type of fault.
The maintenance work order dispatching system is characterized in that a service platform is used for facilitating management, a form system of a fault maintenance work order is embodied, big data is sorted and counted, the fault maintenance work order dispatching system solves the operation and maintenance management problem of a consumer due to the fact that the service platform is used for facilitating management, the consumer reports fault types in a system work order mode after encountering the fault problems, a manager dispatches the work order or the system automatically dispatches the work order after the service platform receives the fault types reported by the consumer, the maintenance personnel process the fault work order, and the consumer confirms whether the fault work order is processed or not.
The operation mode of the existing automatic order dispatching model is quite dead, and if a maintenance worker A has a maintenance skill label of A, B, C and a maintenance worker B only has A-class maintenance skills, when the A-class fault work order is dispatched, the A and B are in the alternate dispatching sequence of the A-class work order, but the A can also alternate in B, C-class fault work order, and the B can only receive the A-class work order. The difference of the skill labels is large, the difference of the order taking frequency of the two labels is large, serious drought and waterlogging are caused, even aiming at the problem, part of maintenance personnel falsify the problem, own skill labels are added by a method, the order taking frequency of the personnel is improved, and adverse effects are caused to the industrial environment.
The automatic dispatching adopts a rotation mode, when the number of work orders is large, the A types are small, and B, C is large, the order receiving frequency of the order A is possibly too high, the order receiving frequency of the order B is extremely low or even no order can be received, when the order A is difficult to pull out among a plurality of work orders, the order B has nothing, and when the order receiving frequency is too high, a new order is automatically distributed to the order A, the order A needs to continuously and repeatedly call a call to a dispatching department for feedback, the maintenance efficiency is greatly reduced, the order-giving client pays attention to whether a maintenance worker can quickly arrive at a fault site, and how long time is needed to repair the fault, so that the dispatching process is optimized, the maintenance worker is scientifically dispatched, the fault first-aid repair time is reasonably compressed, and a solid foundation can be laid for further deep high-quality service.
For a maintenance company, each area is provided with one or more branch sites which are specially responsible for maintenance service of the area to shorten the time for going to a fault site, so that the same work order is distributed according to the area where the fault site is located on the fault work order.
In the invention, an area is randomly selected as a target area, because each maintenance worker in the area sends and processes a fault work order, the work order management system can record the order sending time of the sent maintenance worker, the maintenance worker can input the predicted completion time after receiving the order, meanwhile, the maintenance worker can punch a card on the work order management system after confirming that the fault work order is processed, and the system can record the completed card punching time; meanwhile, the work order management system collects a batch of fault work orders to be distributed in a period of time, and the specific collection time can be determined according to actual conditions.
And S2, when the number of each type of fault work orders in the target area is larger than or equal to the number of the maintenance personnel to be scheduled, which can process the type of fault, determining the probability that each maintenance personnel to be scheduled, which can process each type of fault, is allocated to each fault work order according to the distance between the fault location on each fault work order in each type and the position of each maintenance personnel to be scheduled, which can process the type of fault.
The step of determining the probability that each maintenance person to be scheduled capable of processing each type of fault is allocated to each fault work order according to the distance between the fault location on each fault work order in each type and the position of each maintenance person to be scheduled capable of processing the type of fault comprises the following steps: and taking the reciprocal of the distance between the fault site on each fault work order of each type and the position of each to-be-scheduled maintenance personnel capable of processing the type of fault as the probability that each to-be-scheduled maintenance personnel capable of processing each type of fault is allocated to each fault work order of the type.
The distance between the fault position on each type of fault work order and the position of each to-be-scheduled maintenance worker capable of processing the type of fault is obtained as
Figure 68065DEST_PATH_IMAGE032
Figure 98338DEST_PATH_IMAGE005
Is shown as
Figure 365109DEST_PATH_IMAGE005
A maintenance person to be scheduled; when the number of any type of fault work orders in the target area is larger than or equal to the number of to-be-scheduled maintenance personnel capable of processing the type of fault, the number of hands of the type of fault work orders is considered to be insufficient, and under the condition that the number of hands is insufficient, the closer the distance to-be-scheduled maintenance personnel corresponding to the fault type is, the better the distance is, therefore, the reciprocal of the distance between the fault position on each type of fault work order and the position of each to-be-scheduled maintenance personnel capable of processing the type of fault is taken as the probability that each to-be-scheduled maintenance personnel capable of processing each type of fault is allocated to each type of fault work order.
And S3, when the number of each type of fault work orders in the target area is smaller than the number of the to-be-scheduled maintenance personnel capable of processing the type of fault, calculating a first product of the total number of all fault work orders and the total number of all to-be-scheduled maintenance personnel in the current to-be-allocated time period of the target area, and simultaneously calculating a second product of the number of each type of fault work orders and the number of the to-be-scheduled maintenance personnel capable of processing the type of fault in the current to-be-allocated time period of the target area.
Used in the invention
Figure 889762DEST_PATH_IMAGE008
Denotes the first
Figure 551688DEST_PATH_IMAGE004
Class failure work order when currently pending for distributionThe number of assignments to target regions within a segment;
Figure 2129DEST_PATH_IMAGE009
indicating that the target area is processable within the current period to be allocated
Figure 647874DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault;
Figure DEST_PATH_IMAGE033
indicating that the target area is the first in the current period to be allocated
Figure 507377DEST_PATH_IMAGE004
Number of fault-like work orders and the first to be processed
Figure 538656DEST_PATH_IMAGE004
A second product of the number of maintenance personnel to be scheduled of the class fault;
Figure 520518DEST_PATH_IMAGE013
representing the total number of all fault work orders in the current period to be allocated in the target area;
Figure 653560DEST_PATH_IMAGE014
the total number of all maintenance personnel to be scheduled in the current period to be allocated in the target area is represented;
Figure 752971DEST_PATH_IMAGE034
and the first product of the total number of all fault work orders and the total number of all maintenance personnel to be scheduled in the current period to be allocated in the target area is represented.
And S4, taking the first ratio of the second product and the first product as the tractability value of each type of fault work order in the target area.
In the invention
Figure 655068DEST_PATH_IMAGE015
As a target area within the current period to be allocated
Figure 948778DEST_PATH_IMAGE004
Fault-like work order tractability value representing the second
Figure 303536DEST_PATH_IMAGE004
The fault-like work order can be qualified for most maintenance personnel, so that the fault-like work order is distributed to the maintenance personnel with less maintenance skills, and the personnel with more maintenance skill labels are reserved to process other cold work orders so as to avoid the idling of the personnel and carry out more reasonable personnel scheduling.
And S5, acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current period to be allocated in the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal capability value of each maintenance person to be scheduled.
Figure 206638DEST_PATH_IMAGE019
Indicating that the target area is within the current period to be allocated
Figure 963242DEST_PATH_IMAGE005
The number of fault types which can be processed by each maintenance worker to be scheduled;
Figure 427852DEST_PATH_IMAGE020
representing the total number of types of faults that the maintenance company can handle in the target area;
Figure DEST_PATH_IMAGE035
is shown as
Figure 440545DEST_PATH_IMAGE005
Personal ability value of the individual maintenance person to be scheduled, when
Figure 648804DEST_PATH_IMAGE035
The larger the ratio is, the first
Figure 259914DEST_PATH_IMAGE005
The types of the faults which can be processed by the maintenance personnel to be dispatched are more, and the first type is proved
Figure 659540DEST_PATH_IMAGE005
The personal ability of each maintenance person to be scheduled is stronger, and the corresponding personal ability value is larger.
And S6, determining the weight value of each type of fault work order distributed to each maintenance person to be scheduled according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance person to be scheduled.
The step of determining the weight value of each type of fault work order distributed to each maintenance person to be scheduled according to the tractability value of each type of fault work order and the personal ability value of each maintenance person to be scheduled in the current distribution time period of the target area comprises the following steps: acquiring a first square value of the tractability value of each type of fault work order in the current period to be allocated in the target area; the personal ability value of each maintenance person to be scheduled is used as a negative index of an index function to obtain a normalized personal ability value of each maintenance person to be scheduled, and a second square value of the normalized personal ability value is calculated; and determining the weight value of each type of fault work order distributed to each maintenance personnel to be scheduled according to the first square value corresponding to each type of fault work order in the current period to be distributed of the target area and the second square value corresponding to each maintenance personnel to be scheduled.
Figure 988890DEST_PATH_IMAGE036
Indicating that the target area is the first in the current period to be allocated
Figure 840DEST_PATH_IMAGE004
Easy-to-handle degree value of fault-like work order
Figure 200877DEST_PATH_IMAGE015
And is with
Figure 771404DEST_PATH_IMAGE005
One to be dispatched for maintenance personnelNormalized personal ability values calculated from personal ability values
Figure DEST_PATH_IMAGE037
Integrate the two, i.e. the first
Figure 135521DEST_PATH_IMAGE004
The fault-like work order is easy to process and
Figure 934850DEST_PATH_IMAGE005
the weaker the personal ability value of the individual maintenance person to be dispatched, i.e. the first
Figure 504240DEST_PATH_IMAGE005
The maintenance personnel to be scheduled are assigned to
Figure 996401DEST_PATH_IMAGE004
The higher the probability of the class fault work order is, the more the integration result is used as the weight value of each maintenance worker to be scheduled.
And S7, determining the probability that each maintenance person to be scheduled, which can process each type of fault, is allocated to each fault work order according to the weight value of each maintenance person to be scheduled, which is allocated to each fault work order, and the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault.
The step of determining the probability that each maintenance person to be scheduled, which can process each type of fault, is allocated to each fault work order according to the weight value of each maintenance person to be scheduled, which is allocated to each fault work order, and the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault, comprises the following steps: and weighting the reciprocal distance between the fault location on each type of fault work order and the position of each to-be-scheduled maintenance person capable of processing the type of fault by using the weight value of each to-be-scheduled maintenance person to which each type of fault work order is assigned, so as to obtain a weighted reciprocal distance, and taking the weighted reciprocal distance as the probability that each to-be-scheduled maintenance person capable of processing each type of fault is assigned to each type of fault work order.
And S8, completing dispatching of each fault work order according to the probability that each maintenance worker to be dispatched of each fault is allocated to each fault work order.
The probability calculation formula of each type of fault to be dispatched is that each maintenance worker is allocated to each fault work order:
Figure 378972DEST_PATH_IMAGE038
wherein, the first and the second end of the pipe are connected with each other,
Figure 231259DEST_PATH_IMAGE003
indicating processable
Figure 671468DEST_PATH_IMAGE004
Class III fault
Figure 554104DEST_PATH_IMAGE005
The maintenance personnel to be scheduled are assigned to
Figure 345343DEST_PATH_IMAGE004
In class fault
Figure 571679DEST_PATH_IMAGE006
Probability of individual fault work orders;
Figure 741761DEST_PATH_IMAGE005
is shown as
Figure 778987DEST_PATH_IMAGE005
A maintenance person to be scheduled;
Figure 306789DEST_PATH_IMAGE004
is shown as
Figure 986032DEST_PATH_IMAGE004
A class failure;
Figure 10620DEST_PATH_IMAGE007
is shown as
Figure 999173DEST_PATH_IMAGE004
In class fault
Figure 499425DEST_PATH_IMAGE006
A fault work order;
Figure 467512DEST_PATH_IMAGE008
is shown as
Figure 2398DEST_PATH_IMAGE004
The number of the fault-like work orders distributed to the target area in the current period to be distributed;
Figure 896274DEST_PATH_IMAGE009
indicating that the target area is processable within the current period to be allocated
Figure 493609DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault;
Figure 249075DEST_PATH_IMAGE010
is shown as
Figure 215632DEST_PATH_IMAGE004
In class fault
Figure 313032DEST_PATH_IMAGE006
The fault place on the fault work order and the first-to-be-processed
Figure 256717DEST_PATH_IMAGE004
Class III fault
Figure 330721DEST_PATH_IMAGE005
The reciprocal of the distance between the positions of the maintenance personnel to be dispatched; when in use
Figure 184408DEST_PATH_IMAGE011
When it is, the target area is expressed
Figure 436397DEST_PATH_IMAGE004
The number of the fault-like work orders is more than or equal to that of the processable first
Figure 382226DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault; when in use
Figure 745074DEST_PATH_IMAGE012
Indicating the target region
Figure 453267DEST_PATH_IMAGE004
The number of fault-like work orders is less than that of the processable second
Figure 391005DEST_PATH_IMAGE004
The number of maintenance personnel to be scheduled for the class fault;
Figure 840441DEST_PATH_IMAGE013
representing the total number of all fault work orders in the current period to be allocated in the target area;
Figure 492133DEST_PATH_IMAGE014
the total number of all maintenance personnel to be scheduled in the current period to be allocated in the target area is represented;
Figure 445045DEST_PATH_IMAGE015
is composed of
Figure 147160DEST_PATH_IMAGE016
The combination of (a) and (b) is carried out,
Figure 569045DEST_PATH_IMAGE017
indicating that the target area is the first in the current period to be allocated
Figure 539275DEST_PATH_IMAGE004
The proportion of the number of the similar fault work orders to the total number of all the fault work orders is calculated;
Figure 595962DEST_PATH_IMAGE018
indicating that the target area is processable within the current period to be allocated
Figure 626235DEST_PATH_IMAGE004
The number of the maintenance personnel to be scheduled of the similar fault accounts for the total number of all the maintenance personnel to be scheduled;
Figure 269837DEST_PATH_IMAGE015
indicating that the target area is within the current period to be allocated
Figure 886501DEST_PATH_IMAGE004
The tractability degree value of the fault-like work order;
Figure 79585DEST_PATH_IMAGE019
indicating that the target area is within the current period to be allocated
Figure 765912DEST_PATH_IMAGE005
The number of fault types which can be processed by each maintenance worker to be scheduled;
Figure 411657DEST_PATH_IMAGE020
representing the total number of types of faults that the maintenance company can handle in the target area;
Figure 707378DEST_PATH_IMAGE035
is shown as
Figure 754968DEST_PATH_IMAGE005
Personal ability value of each maintenance person to be scheduled;
Figure 877776DEST_PATH_IMAGE022
representing an exponential function.
The step of completing the dispatch of each fault work order according to the probability that each maintenance worker to be dispatched of each fault is allocated to each fault work order of the same type comprises the following steps: when the probability that any maintenance person to be scheduled of any type of fault is allocated to any fault work order is the maximum, allocating the maintenance person to be scheduled to the fault work order; and similarly, the dispatching of each type of fault work order in the current period to be distributed in the target area is completed.
The number of the maintenance personnel to be scheduled, which can process each type of fault, is obtained according to the following steps: obtaining maintenance personnel who have finished card punching in the current period to be allocated in the target area, and recording as determined maintenance personnel; acquiring maintenance personnel of a target area which have reached the predicted completion time but are not finished by punching a card in the current period to be allocated, and recording the maintenance personnel as the maintenance personnel to be allocated; acquiring the longest time for processing each type of fault in the historical data of each to-be-determined maintenance person, and acquiring the average time for processing each type of fault in the historical data of each to-be-determined maintenance person; the difference between the longest time for processing each type of fault in the historical data of each to-be-determined maintenance person and the average time is rounded up to obtain the maximum deviation value for processing each type of fault by each to-be-determined maintenance person; when the maximum deviation value of each to-be-treated maintenance person for treating each type of fault is smaller than or equal to a preset first threshold value, taking the to-be-treated maintenance person as a newly-added to-be-scheduled maintenance person for treating the type of fault; and adding newly-added maintenance personnel to be scheduled, which can process each type of fault in the current period to be allocated in the target area, and the determined maintenance personnel to be scheduled to obtain the number of the maintenance personnel to be scheduled, which can process each type of fault.
If only the maintenance personnel who finish the punching of the target area in the current period to be allocated are used as the number of the maintenance personnel to be scheduled, a certain hidden danger exists, because the work order task and the maintenance personnel to be scheduled all change in real time, the potential hidden danger exists, the dispatch of the work order and the personnel scheduling generate a vacuum period, if a certain maintenance personnel reaches the predicted maintenance completion time, but the actual time has deviation, the maintenance personnel cannot be counted into the maintenance personnel to be scheduled in the current period to be allocated, if the distribution of a batch of fault work orders is just completed, and the maintenance personnel completes the maintenance again, and the maintenance personnel are idle.
Therefore, firstly, obtaining the maintenance personnel who have finished the card punching in the current period to be allocated in the target area, and recording as the determined maintenance personnel; and then obtaining the maintenance personnel of the target area which have reached the predicted completion time within the current period to be allocated but are not finished by punching the card, recording the maintenance personnel to be determined, and calculating the maximum deviation value of each type of fault processed by each maintenance personnel to be determined.
The calculation formula of the maximum deviation value of each type of fault processed by each maintenance person to be determined is as follows:
Figure 745238DEST_PATH_IMAGE024
wherein the content of the first and second substances,
Figure 969284DEST_PATH_IMAGE025
is shown as
Figure 622113DEST_PATH_IMAGE005
The undetermined maintenance personnel process
Figure 899511DEST_PATH_IMAGE004
Maximum deviation value of class fault;
Figure 237957DEST_PATH_IMAGE026
is shown as
Figure 891792DEST_PATH_IMAGE005
The undetermined maintenance personnel process
Figure 399128DEST_PATH_IMAGE004
Maximum time to class failure;
Figure 955749DEST_PATH_IMAGE027
is shown as
Figure 797803DEST_PATH_IMAGE005
To be determined maintenance personnel
Figure 740483DEST_PATH_IMAGE028
Second treatment of
Figure 459915DEST_PATH_IMAGE004
Time of class failureIn the middle of the furnace, the gas-liquid separation chamber,
Figure 344694DEST_PATH_IMAGE029
denotes the first
Figure 893618DEST_PATH_IMAGE005
Processing historical data of each person to be maintained
Figure 21016DEST_PATH_IMAGE004
Total number of class failures;
Figure 486632DEST_PATH_IMAGE030
is shown as
Figure 293045DEST_PATH_IMAGE005
Processing the historical data of the undetermined maintenance personnel
Figure 686855DEST_PATH_IMAGE004
Mean time to class failure;
Figure 486184DEST_PATH_IMAGE031
represents a rounded up symbol;
Figure DEST_PATH_IMAGE039
represents the first
Figure 619356DEST_PATH_IMAGE005
The pending maintenance personnel are processed in the historical data
Figure 829626DEST_PATH_IMAGE004
Maximum time of class failure, and
Figure 477777DEST_PATH_IMAGE005
processing the historical data of the undetermined maintenance personnel
Figure 815217DEST_PATH_IMAGE004
The difference between the mean time of the similar faults is rounded up to obtain the predicted completion time and the actual completion time of the ith maintenance worker calculated according to the empirical valueThe maximum deviation value of (a).
When the maximum deviation value of each type of fault processed by each maintenance worker to be determined is smaller than or equal to a preset first threshold value, the preset first threshold value is
Figure 239114DEST_PATH_IMAGE040
When is coming into contact with
Figure DEST_PATH_IMAGE041
And taking the maintenance personnel to be scheduled as newly-added maintenance personnel to be scheduled for processing the type of fault.
And adding newly-added maintenance personnel to be scheduled, which can process each type of fault in the current period to be allocated in the target area, and the determined maintenance personnel to be scheduled to obtain the number of the maintenance personnel to be scheduled, which can process each type of fault.
An intelligent work order data dispatch system comprising:
the data acquisition module is used for acquiring the number of each type of fault work orders in the current period to be allocated in the target area and the number of to-be-scheduled maintenance personnel capable of processing each type of fault;
the first distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault, when the number of each type of fault work orders in the target area is greater than or equal to the number of maintenance persons to be scheduled, which can process the type of fault;
the tractability value calculation module is used for calculating a first product of the total number of all fault work orders and the total number of all maintenance personnel to be dispatched in the current period to be allocated in the target area when the number of each type of fault work orders in the target area is less than the number of the maintenance personnel to be dispatched, which can process the type of fault, and simultaneously calculating a second product of the number of each type of fault work orders and the number of the maintenance personnel to be dispatched, which can process the type of fault, in the current period to be allocated in the target area; the first ratio of the second product and the first product is used as a tractability value of each type of fault work order in the target area;
the personal ability value calculation module is used for acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current distribution period of the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal ability value of each maintenance person to be scheduled;
the weighted value calculating module is used for determining the weighted value of each type of fault work order distributed to each maintenance person to be dispatched according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance person to be dispatched;
the second distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the weight value distributed to each maintenance person to be scheduled by each type of fault work order and the distance between the fault position on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault;
and the fault work order dispatching module is used for finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is distributed to each fault work order.
Each module in the work order data intelligent dispatching system can correspondingly realize the steps in the work order data intelligent dispatching method, and the description is omitted here.
The invention provides a work order data intelligent dispatching method and a work order data intelligent dispatching system, when the number of each type of fault work orders in a target area is more than or equal to the number of maintenance personnel to be dispatched, which can process the type of fault, the hand shortage of the maintenance personnel to be dispatched, which can process the type of fault, can be directly distributed according to the distance; when the number of each type of fault work orders in the target area is smaller than the number of to-be-scheduled maintenance personnel capable of processing the type of fault, the probability that each to-be-scheduled maintenance personnel capable of processing each type of fault is allocated to each type of fault work order is determined by combining the tractability value of the fault work order and the personal capacity of the to-be-scheduled maintenance personnel, so that the reasonable allocation of the to-be-scheduled maintenance personnel is realized, and the situations that maintenance personnel with more maintenance skills are busy and maintenance personnel with less maintenance skills are idle are avoided.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (9)

1. The intelligent work order data dispatching method is characterized by comprising the following steps:
acquiring the number of each type of fault work orders in the current to-be-distributed time period of the target area and the number of to-be-scheduled maintenance personnel capable of processing each type of fault;
when the number of each type of fault work orders in the target area is larger than or equal to the number of maintenance personnel to be scheduled, which can process the type of fault, the probability that each maintenance personnel to be scheduled, which can process each type of fault, is allocated to each fault work order is determined according to the distance between the fault location on each fault work order in each type and the position of each maintenance personnel to be scheduled, which can process the type of fault;
when the number of each type of fault work orders in the target area is smaller than the number of maintenance personnel to be scheduled, which can process the type of fault, a first product of the total number of all fault work orders in the current period to be allocated in the target area and the total number of all maintenance personnel to be scheduled is calculated, and a second product of the number of each type of fault work orders in the current period to be allocated in the target area and the number of maintenance personnel to be scheduled, which can process the type of fault, is calculated;
taking a first ratio of the second product and the first product as a tractability value of each type of fault work order in the target area;
acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current period to be allocated in the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal capability value of each maintenance person to be scheduled;
determining the weight value of each type of fault work order distributed to each maintenance worker to be scheduled according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance worker to be scheduled;
determining the probability of each to-be-scheduled maintenance worker capable of processing each type of fault being allocated to each fault work order according to the weight value of each to-be-scheduled maintenance worker allocated to each fault work order and the distance between the fault site on each fault work order and the position of each to-be-scheduled maintenance worker capable of processing the type of fault;
and finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is allocated to each fault work order.
2. The intelligent work order data dispatching method as claimed in claim 1, wherein the step of determining the probability that each maintenance person to be scheduled, which can process each type of fault, is assigned to each fault work order of the type according to the distance between the fault location on each fault work order of the type and the location of each maintenance person to be scheduled, which can process the type of fault, comprises:
and taking the reciprocal of the distance between the fault location on each fault work order of each type and the position of each maintenance person to be scheduled, which can process the fault, as the probability that each maintenance person to be scheduled, which can process each type of fault, is allocated to each fault work order of the type.
3. The intelligent work order data dispatching method as claimed in claim 1, wherein the step of determining the weight value of each type of trouble work order to be assigned to each maintenance person to be scheduled according to the tractability value of each type of trouble work order in the current period to be assigned of the target area and the personal ability value of each maintenance person to be scheduled comprises:
acquiring a first square value of the tractability value of each type of fault work order in the current period to be allocated in the target area;
the personal ability value of each maintenance person to be scheduled is used as a negative index of an index function to obtain a normalized personal ability value of each maintenance person to be scheduled, and a second square value of the normalized personal ability value is calculated;
and determining the weight value of each fault work order to be distributed to each maintenance person to be dispatched according to the first square value corresponding to each fault work order in the current period to be distributed of the target area and the second square value corresponding to each maintenance person to be dispatched.
4. The intelligent work order data dispatching method as claimed in claim 3, wherein the step of determining the probability that each maintenance person to be scheduled, which can process each type of fault, is assigned to each fault work order according to the weight value assigned to each maintenance person to be scheduled by each type of fault work order and the distance between the fault location on each fault work order in each type and the position of each maintenance person to be scheduled, which can process the type of fault, comprises:
and weighting the reciprocal distance between the fault location on each type of fault work order and the position of each to-be-scheduled maintenance person capable of processing the type of fault by using the weight value of each to-be-scheduled maintenance person to which each type of fault work order is assigned, so as to obtain a weighted reciprocal distance, and taking the weighted reciprocal distance as the probability that each to-be-scheduled maintenance person capable of processing each type of fault is assigned to each type of fault work order.
5. The intelligent work order data dispatching method as claimed in claim 1, wherein the probability calculation formula of each maintenance person to be dispatched for each fault assigned to each fault work order of the type is as follows:
Figure DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure DEST_PATH_IMAGE004
indicating processable
Figure DEST_PATH_IMAGE006
Class III fault
Figure DEST_PATH_IMAGE008
The maintenance personnel to be scheduled are assigned to
Figure 3766DEST_PATH_IMAGE006
In class fault
Figure DEST_PATH_IMAGE010
Probability of individual fault work orders;
Figure 592748DEST_PATH_IMAGE008
is shown as
Figure 619610DEST_PATH_IMAGE008
A maintenance person to be scheduled;
Figure 289757DEST_PATH_IMAGE006
is shown as
Figure 780781DEST_PATH_IMAGE006
A class failure;
Figure DEST_PATH_IMAGE012
is shown as
Figure 602981DEST_PATH_IMAGE006
In class fault
Figure 195768DEST_PATH_IMAGE010
A fault work order;
Figure DEST_PATH_IMAGE014
denotes the first
Figure 122135DEST_PATH_IMAGE006
The number of the fault-like work orders distributed to the target area in the current period to be distributed;
Figure DEST_PATH_IMAGE016
indicating that the target area can be processed the first within the current period to be allocated
Figure 44830DEST_PATH_IMAGE006
The number of maintenance personnel to be scheduled for the class fault;
Figure DEST_PATH_IMAGE018
is shown as
Figure 804975DEST_PATH_IMAGE006
In class fault
Figure 118014DEST_PATH_IMAGE010
The fault place on the fault work order and the first-to-be-processed
Figure 113652DEST_PATH_IMAGE006
Class III fault
Figure 595580DEST_PATH_IMAGE008
The reciprocal of the distance between the positions of the maintenance personnel to be dispatched; when the temperature is higher than the set temperature
Figure DEST_PATH_IMAGE020
When it is, the target area is expressed
Figure 651260DEST_PATH_IMAGE006
The number of the fault-like work orders is more than or equal to that of the processable first
Figure 186016DEST_PATH_IMAGE006
The number of maintenance personnel to be scheduled for the class fault; when in use
Figure DEST_PATH_IMAGE022
Indicating the target region
Figure 860711DEST_PATH_IMAGE006
The number of fault-like work orders is less than that of the fault-like work ordersTheory the first
Figure 180834DEST_PATH_IMAGE006
The number of maintenance personnel to be scheduled for the class fault;
Figure DEST_PATH_IMAGE024
representing the total number of all fault work orders in the current period to be allocated in the target area;
Figure DEST_PATH_IMAGE026
the total number of all maintenance personnel to be scheduled in the current period to be allocated in the target area is represented;
Figure DEST_PATH_IMAGE028
is composed of
Figure DEST_PATH_IMAGE030
The combination of (a) and (b) is carried out,
Figure DEST_PATH_IMAGE032
indicating that the target area is within the current period to be allocated
Figure 374792DEST_PATH_IMAGE006
The proportion of the number of the similar fault work orders to the total number of all the fault work orders is calculated;
Figure DEST_PATH_IMAGE034
indicating that the target area can be processed the first within the current period to be allocated
Figure 288522DEST_PATH_IMAGE006
The number of the maintenance personnel to be scheduled of the similar fault accounts for the total number of all the maintenance personnel to be scheduled;
Figure 625962DEST_PATH_IMAGE028
indicating that the target area is within the current period to be allocated
Figure 338876DEST_PATH_IMAGE006
The tractability degree value of the fault-like work order;
Figure DEST_PATH_IMAGE036
indicating that the target area is the first in the current period to be allocated
Figure 736359DEST_PATH_IMAGE008
The number of fault types which can be processed by each maintenance worker to be scheduled;
Figure DEST_PATH_IMAGE038
representing the total number of types of faults that the maintenance company can handle in the target area;
Figure DEST_PATH_IMAGE040
is shown as
Figure 121073DEST_PATH_IMAGE008
Personal ability value of each maintenance person to be scheduled;
Figure DEST_PATH_IMAGE042
representing an exponential function.
6. The intelligent work order data dispatching method as claimed in claim 1, wherein the step of completing dispatching of each fault work order according to the probability that each maintenance person to be dispatched of each fault is assigned to each fault work order of the class comprises:
when the probability that any maintenance person to be scheduled of any type of fault is allocated to any fault work order is the maximum, allocating the maintenance person to be scheduled to the fault work order;
and similarly, the dispatching of each type of fault work order in the current period to be distributed in the target area is completed.
7. The intelligent work order data dispatching method as claimed in claim 1, wherein the number of repairmen to be dispatched, which can process each type of fault, is obtained according to the following steps:
obtaining maintenance personnel who have finished card punching in the current period to be allocated in the target area, and recording as determined maintenance personnel;
acquiring maintenance personnel of a target area which have reached the predicted completion time but are not checked in the current period to be allocated, and recording the maintenance personnel as the maintenance personnel to be determined;
acquiring the longest time for processing each type of fault in the historical data of each to-be-determined maintenance person, and acquiring the average time for processing each type of fault in the historical data of each to-be-determined maintenance person;
the difference between the longest time for processing each type of fault in the historical data of each to-be-determined maintenance person and the average time is rounded up to obtain the maximum deviation value for processing each type of fault by each to-be-determined maintenance person;
when the maximum deviation value of each to-be-treated maintenance person for treating each type of fault is smaller than or equal to a preset first threshold value, taking the to-be-treated maintenance person as a newly-added to-be-scheduled maintenance person for treating the type of fault;
and adding newly-added maintenance personnel to be scheduled, which can process each type of fault in the current period to be allocated, of the target area with the determined maintenance personnel to obtain the number of the maintenance personnel to be scheduled, which can process each type of fault.
8. The intelligent work order data dispatching method as claimed in claim 7, wherein the calculation formula of the maximum deviation value of each type of fault processed by each maintenance person to be maintained is as follows:
Figure DEST_PATH_IMAGE044
wherein, the first and the second end of the pipe are connected with each other,
Figure DEST_PATH_IMAGE046
denotes the first
Figure 42630DEST_PATH_IMAGE008
The undetermined maintenance personnel process
Figure 353657DEST_PATH_IMAGE006
Maximum deviation value of class fault;
Figure DEST_PATH_IMAGE048
is shown as
Figure 968047DEST_PATH_IMAGE008
The undetermined maintenance personnel process
Figure 246582DEST_PATH_IMAGE006
Maximum time to class failure;
Figure DEST_PATH_IMAGE050
is shown as
Figure 801191DEST_PATH_IMAGE008
To be determined maintenance personnel
Figure DEST_PATH_IMAGE052
Second treatment of
Figure 527576DEST_PATH_IMAGE006
The time of the class failure is determined,
Figure DEST_PATH_IMAGE054
denotes the first
Figure 283174DEST_PATH_IMAGE008
Processing the historical data of the undetermined maintenance personnel
Figure 32693DEST_PATH_IMAGE006
Total number of class failures;
Figure DEST_PATH_IMAGE056
is shown as
Figure 187731DEST_PATH_IMAGE008
Processing the historical data of the undetermined maintenance personnel
Figure 129142DEST_PATH_IMAGE006
Mean time to class failure;
Figure DEST_PATH_IMAGE058
representing an rounding up symbol.
9. The utility model provides a work order data intelligence dispatch system which characterized in that includes:
the data acquisition module is used for acquiring the number of each type of fault work orders in the current period to be allocated in the target area and the number of to-be-scheduled maintenance personnel capable of processing each type of fault;
the first distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the distance between the fault location on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault, when the number of each type of fault work orders in the target area is greater than or equal to the number of maintenance persons to be scheduled, which can process the type of fault;
the tractability value calculation module is used for calculating a first product of the total number of all fault work orders and the total number of all maintenance personnel to be dispatched in the current period to be allocated in the target area when the number of each type of fault work orders in the target area is less than the number of the maintenance personnel to be dispatched, which can process the type of fault, and simultaneously calculating a second product of the number of each type of fault work orders and the number of the maintenance personnel to be dispatched, which can process the type of fault, in the current period to be allocated in the target area; the first ratio of the second product to the first product is used as a tractability value of each type of fault work order in the target area;
the personal ability value calculation module is used for acquiring a second ratio of the number of the fault types which can be processed by each maintenance person to be scheduled in the current distribution period of the target area to the total number of the fault types which can be processed by the maintenance company in the target area, and taking the second ratio as the personal ability value of each maintenance person to be scheduled;
the weighted value calculating module is used for determining the weighted value of each type of fault work order distributed to each maintenance person to be dispatched according to the tractability value of each type of fault work order in the current period to be distributed of the target area and the personal ability value of each maintenance person to be dispatched;
the second distribution probability calculation module is used for determining the probability that each maintenance person to be scheduled, which can process each type of fault, is distributed to each fault work order according to the weight value distributed to each maintenance person to be scheduled by each type of fault work order and the distance between the fault position on each fault work order and the position of each maintenance person to be scheduled, which can process the type of fault;
and the fault work order dispatching module is used for finishing dispatching each fault work order according to the probability that each maintenance worker to be dispatched of each fault is distributed to each fault work order.
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