CN110516904B - Scheduling method based on hospital logistics transportation system tasks - Google Patents

Scheduling method based on hospital logistics transportation system tasks Download PDF

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CN110516904B
CN110516904B CN201910626072.XA CN201910626072A CN110516904B CN 110516904 B CN110516904 B CN 110516904B CN 201910626072 A CN201910626072 A CN 201910626072A CN 110516904 B CN110516904 B CN 110516904B
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傅钟
刘明铭
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Hangzhou Yihao Network Technology Co ltd
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Abstract

The invention relates to a scheduling method based on a hospital logistics transportation task, which comprises the following steps: 1) Extracting the transportation type, the release time, the number of current on-duty employees and the received related data of the unfinished tasks of the transportation tasks; 2) Taking the time of the last 1 year and the type of the issued transportation task as ranges, acquiring the total execution amount and the accumulated execution time of each on-duty employee task in the logistics transportation data, and the total per capita execution amount and the accumulated execution time; 3) Obtaining a skillful index; 4) Taking the time of the last 1 year as a range, acquiring the average execution time of each transport task type; 5) Calculating conflict time and average conflict time according to the condition that each on-duty employee has received the task; 6) Obtaining a busy index; 7) And calculating a matching index according to the proficiency index and the busy index, so that the delivery task is dispatched to the staff with the highest matching index. The method is reasonable, and can effectively improve the efficiency and the rationality of the hospital logistics transportation center for the transportation task scheduling.

Description

Scheduling method based on hospital logistics transportation system task
Technical Field
The invention relates to data mining and scheduling of hospital logistics transportation system tasks, in particular to a scheduling method based on the hospital logistics transportation system tasks.
Background
The logistics transportation of hospitals is an important component of medical logistics in modern medical institutions, and the logistics transportation system takes patients as the center, provides logistics transportation services for the medical institutions, and mainly comprises the services of escort, material purchase, transportation, central storeroom and the like. Due to the increasing traffic volume, the deep internal comprehensive innovation and the occurrence of responsibility form of modern medical institutions, a more efficient, faster and safer logistics transportation system is established to ensure the normal operation of the medical institutions, which is urgent. With the popularization and development of the internet of things technology, the information technology and the big data technology in modern medical institutions, the medical logistics business and the management mode gradually trend to digitization and intellectualization. By combining intelligent digital logistics business management, a more efficient and scientific medical transportation system can be established, so that better services are provided for patients.
The mode of 'central transportation' is generally adopted for the logistics transportation of hospitals, namely, transportation center departments are set to accept, schedule, monitor, plan and manage transportation tasks in a unified manner, so that the transportation center becomes a core hub of a logistics transportation business system of the hospitals. Thus, it is particularly important to have a shipping center with the ability to handle shipping services more efficiently and scientifically. In daily logistics business, the most core business of a transportation center is the scheduling of transportation tasks, namely, the transportation center plays the role of a dispatcher in a transportation business system, and the transportation tasks released by hospitals in daily life basically need to be dispatched to the hands of staff through the turnover scheduling of the transportation tasks. At present, a manual scheduling mode is still widely used in medical logistics transportation business, and due to factors such as high complexity of business, artificial objective limitation and the like, scheduling of the transportation business is difficult to integrate and consider, and is difficult to be scientific and efficient. On the background that modern information technology and big data technology are mature day by day, a reasonable scheduling logic algorithm can remarkably improve the scheduling turnover efficiency of medical logistics transportation tasks on the premise of ensuring reasonable scientificity, thereby providing faster and better transportation service for patients. In view of the above, the invention aims at the hospital logistics transportation informatization system, and analyzes and obtains the matching index of each employee on duty and the transportation task according to each index of analyzing the logistics transportation task and the transportation employee, thereby positioning the employee who optimally receives the task and realizing the intelligent scheduling of the transportation task.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a scheduling method based on the tasks of the hospital logistics transportation system.
The scheduling method based on the hospital logistics transportation system task is characterized by comprising the following steps: the method comprises the following steps:
s1: extracting relevant data such as the delivery type and the delivery time of the delivered delivery task, the current number of on-duty staff in the hospital logistics, the fact that each on-duty staff receives uncompleted tasks and the like;
s2: taking the time of the last 1 year and the type of the issued transportation task as ranges, acquiring the total execution amount and the accumulated execution time of each on duty employee task in the logistics transportation data, and the total per-employee execution amount and the accumulated per-employee execution time of the on duty employees in the logistics transportation data;
s3: obtaining the skillful index of each on-duty employee on the type of the transportation task;
s4: taking the time of the last 1 year as a range, acquiring the average execution time of each transportation task type in the logistics transportation data;
s5: according to the condition that each on duty employee has received the task, calculating the conflict time of each on duty employee to the issued transportation task and the average conflict time of all on duty employees to the transportation task;
s6: obtaining the busy index of each on duty employee to the issued transportation task;
s7: and calculating the matching index of each employee to the delivery type task according to the proficiency index and the busy index of each employee, so that the delivery task is dispatched to the employee with the highest matching index.
The scheduling method based on the hospital logistics transportation system task is characterized by comprising the following steps: in step S3, according to the total number of tasks executed and the cumulative time of executing by employee E, the total number of per-capita tasks executed and the cumulative time of per-capita tasks executed by each on-duty employee, and the total number of executing per-capita tasks and the cumulative time of executing per-capita tasks in the logistics transportation data (taking employee E as an example) under the condition of the time of the last 1 year and the type of the issued task, employee E is calculated for C D The Proficiency index (Level Of Proficiency) Of a type task is given by the formula:
Figure BDA0002127139220000021
wherein V LOP Is a skillful index.
The scheduling method based on the hospital logistics transportation system task is characterized by comprising the following steps: in the step S5, the first step is performed,
1) And adding the release time of the task and the average execution time of the corresponding task type according to the method of the predicted completion time. Taking task D as an example, the formula is:
Figure BDA0002127139220000022
wherein t is Df Forecast completion time, t, for task D D Is the time of the issuance of the task D,
Figure BDA0002127139220000023
is C within nearly 1 year D Average execution time of the type task;
2) Calculating the total conflict time of the tasks D and the tasks E which have received the unfinished tasks, wherein the conflict time is calculated in a mode that the two tasks respectively start from the task issuing time and an overlapped time period exists between the task issuing time and the task predicted finishing time, and if the staff E receives the unfinished task K, the conflict time between the task D and the task K is calculated according to a formula:
Figure BDA0002127139220000031
wherein
Figure BDA0002127139220000032
As a conflict time of two tasks, t K 、t Kf The release time and the predicted completion time, t, of task K, respectively D 、t Df The release time and the predicted completion time of the task D are respectively;
then, according to the formula, the total conflict time of the tasks D and the tasks E which have received the uncompleted tasks is calculated, wherein the formula is as follows:
Figure BDA0002127139220000033
wherein
Figure BDA0002127139220000034
Is the total conflict time between task D and employee E, D is the number of tasks received by employee E that have not been completed, Δ t D Is a set of conflict times;
3) Obtaining the average conflict time of the task D and the uncompleted tasks received by on-duty staff in logistics transportation, wherein the formula is as follows:
Figure BDA0002127139220000035
wherein
Figure BDA0002127139220000036
Is the average conflict time, Δ T, of the on Shift employee D The time set is aggregated for conflicts between task D and the employees on Shift, and n is the number of the employees on Shift.
The scheduling method based on the hospital logistics transportation system task is characterized by comprising the following steps: in step S6, a busy index (Level Of busy) Of the employee E with respect to the task D is obtained, which is obtained by comparing the conflict time between the employee E and the task D with the average conflict time between the task D and the employee who is on duty, and the formula is:
Figure BDA0002127139220000037
wherein V LOB In order to be a busy index,
Figure BDA0002127139220000038
for the time of the conflict between employee E and task D,
Figure BDA0002127139220000039
the average conflict time for task D with the on Shift employee.
The scheduling method based on the hospital logistics transportation system task is characterized by comprising the following steps: in step S7, a matching index of the issued task and the employee is calculated according to the obtained proficiency index and the busy index, which is in direct proportion to the proficiency index and in inverse proportion to the busy index, and in combination with the actual condition, the formula is as follows:
Figure BDA00021271392200000310
wherein V LOF Matching index, V, for task D and employee E LOP Refined index, V LOB In order to be a busy index,
and after the matching index of each on-duty employee is obtained, scheduling the task to the employee with the highest matching index.
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FIG. 1 is a flow chart of modeling steps of a scheduling method based on a hospital logistics transportation task;
FIG. 2 is a graph showing the matching index of staff and tasks and the proficiency index change of the staff and the tasks in the logistics transportation of the hospital;
FIG. 3 is a graph of the matching index of staff and tasks in the logistics delivery of a hospital versus the busy index of staff and tasks.
The scheduling method based on the hospital logistics transportation task is reasonable, and can effectively improve the efficiency and reasonability of the hospital logistics transportation center for scheduling the transportation task. According to the invention, a method for calculating the matching degree of the transportation task and the employees is formulated according to the factors of the type of the transportation task, the proficiency of the employees on the task, the current busy degree of the employees and the like, so that the tasks can be more reasonably dispatched to the employees with the highest matching degree, and the actual use requirement is met.
Detailed Description
In order to solve the problem of low efficiency and irrationality of a hospital logistics transportation center on transportation task scheduling, the invention provides a scheduling method based on a hospital logistics transportation system task.
Referring to fig. 1 to 3, the invention relates to a scheduling method based on hospital logistics transportation tasks, which specifically comprises the following steps:
s1: extracting relevant data such as the delivery type and the delivery time of the delivered delivery task, the current number of on-duty workers in hospital logistics, and the incomplete tasks received by the on-duty workers;
s2: taking the time of the last 1 year and the type of the issued transportation task as ranges, acquiring the total execution amount and the accumulated execution time of each on duty employee task in the logistics transportation data, and the total per-employee execution amount and the accumulated per-employee execution time of the on duty employees in the logistics transportation data;
s3: obtaining the skillful index of each on-duty employee on the type of the transportation task;
s4: taking the time of the last 1 year as a range, acquiring the average execution time of each transportation task type in the logistics transportation data;
s5: according to the condition that each on duty employee has received the task, calculating the conflict time of each on duty employee to the issued transportation task and the average conflict time of all on duty employees to the transportation task;
s6: obtaining the busy index of each on duty employee to the issued transportation task;
s7: calculating the matching index of each employee to the transportation type task according to the proficiency index and the busy index of each employee, and dispatching the transportation task to the employee with the highest matching index;
further, it is assumed that a certain ward Of a hospital issues a transportation task D, and the task needs to be analyzed and calculated with Matching indexes (Level Of Matching) Of each on-duty employee, taking a transportation employee E as an example:
in the step S1, the type C of the task D is extracted D And a release time t D And the number n of currently on duty employees, the number d of tasks that the employee E has received and is not finished, and the like. The classification form of the task types is as follows: "transporting object and transporting tool" (e.g. [ patient's andd' wheelchair)]U-shaped flat vehicle for patients]"sample" and "sample box]Etc.);
in the step S2, the latest 1 year time and C D The type is a condition range, the total task execution amount and the execution accumulated time of the staff E in the logistics transportation data are obtained, and the formula is as follows:
Figure BDA0002127139220000051
wherein
Figure BDA0002127139220000052
t is the total number of task executions and the cumulative time of the task executions
Figure BDA0002127139220000053
And a task execution time set;
within the same condition range, acquiring the total number of per-capita tasks executed by each on-duty employee in the logistics transportation data and the cumulative time of per-capita task execution, wherein the formulas are as follows:
Figure BDA0002127139220000054
wherein
Figure BDA0002127139220000055
The total number of the task execution of each on Shift employee is N, the total number of the task execution of each on Shift employee is N, and the number of the on Shift employees is N;
Figure BDA0002127139220000056
wherein
Figure BDA0002127139220000057
And T is the accumulated time for the execution of each on Shift employee.
In the step S3, the time of the last 1 year and C are obtained according to the step S2 D Under the type condition, in the logistics transportation data, the total task execution amount and the execution accumulated time of the employee E, the per-capita task execution amount and the per-capita task execution accumulated time of the employee on duty are calculated, and the employee E calculates the C D The Proficiency index (Level Of Proficiency) Of a type task, the formula is:
Figure BDA0002127139220000058
wherein V LOP Is a master-making index of the quality of the food,
Figure BDA0002127139220000059
accumulated time for employee E task execution，
Figure BDA00021271392200000510
Accumulated time is executed for the on duty staff per-person task,
Figure BDA00021271392200000511
the total number of tasks performed by employee E,
Figure BDA00021271392200000512
the total number of per-person tasks performed for the on duty employee.
In the step S4, the average task execution time of each task type in the logistics transportation data is obtained within the range of the latest 1 year, and C is used D The type is an example, and the formula is:
Figure BDA00021271392200000513
wherein
Figure BDA0002127139220000061
Is C D Type of task average execution time, G is C D A set of task execution times for a type,
Figure BDA0002127139220000062
is C D The total number of tasks of a type.
In the step S5, the first step is performed,
s5-1: and obtaining the expected completion time of the tasks D and the tasks E which have received the uncompleted tasks, and calculating the expected completion time by adding the average execution time of the corresponding task types described in the S4 to the release time of the tasks. Taking task D as an example, the formula is:
Figure BDA0002127139220000063
wherein t is Df Forecast completion time, t, for task D D Is the time of the issuance of the task D,
Figure BDA0002127139220000064
is C within nearly 1 year D The type task average execution time.
S5-2: calculating the total conflict time of tasks D and E, wherein the task D and the task E have received uncompleted tasks, the conflict time is calculated in a mode that the two tasks respectively start from task issuing time and have overlapped time periods between task predicted completion time (obtained according to the method in S5-1), and if the employee E has received the uncompleted task K, the conflict time calculation formula between the task D and the task K is as follows:
Figure BDA0002127139220000065
wherein
Figure BDA0002127139220000066
As a conflict time of two tasks, t K 、t Kf The release time and the predicted completion time, t, of task K, respectively D 、t Df The release time and the expected completion time of task D, respectively.
Then, according to the formula, the total of the conflict time for task D and each of employee E having received an incomplete task is calculated. The formula is as follows:
Figure BDA0002127139220000067
wherein
Figure BDA0002127139220000068
Is the total conflict time between task D and employee E, D is the number of tasks received by employee E that have not been completed, Δ t D Is a set of conflict times.
S5-3: the average conflict time that task D and the on Shift employee in the logistics transport have received the incomplete task is obtained. The formula is as follows:
Figure BDA0002127139220000069
wherein
Figure BDA00021271392200000610
Is the average conflict time, Δ T, of the on Shift employee D The aggregate time set for conflicts between task D and the employees on Shift, n is the number of employees on Shift.
S6: obtaining a busy index (Level Of Busyness) Of the employee E relative to the task D, and comparing the conflict time Of the employee E and the task D with the average conflict time Of the task D and the on-duty employees, wherein the formula is as follows:
Figure BDA0002127139220000071
wherein V LOB In order to be a busy index of the vehicle,
Figure BDA0002127139220000072
for the time of conflict between employee E and task D,
Figure BDA0002127139220000073
the average conflict time for task D with the on Shift employee.
S7: according to the obtained proficiency index and the busy index, calculating to obtain a matching index of the task D and the employee E, wherein the matching index is in direct proportion to the proficiency index and in inverse proportion to the busy index, and combining the practical situation, the formula is as follows:
Figure BDA0002127139220000074
wherein V LOF Is a matching index, V, for task D and employee E LOP Refined index, V LOB Is a busy index.
The above is a step of calculating a matching index of the issued task D and the employee E, taking the conveying employee E as an example. Similarly, the matching index of the issued delivery task and each employee on duty is calculated according to the steps, and the task is dispatched to the employee with the highest matching index.
According to the invention, a method for calculating the matching degree of the transportation task and the staff is made according to the factors of the type of the transportation task, the proficiency of the staff on the task, the current busy degree of the staff and the like, so that the staff with the highest matching degree can be more reasonably scheduled with the task, and the requirement of actual use is met. The present invention is intended to be illustrative, and not restrictive. It will be understood by those skilled in the art that various changes, modifications and equivalents may be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (4)

1. A scheduling method based on hospital logistics transportation system tasks is characterized in that: the method comprises the following steps:
s1: extracting the delivery type and the delivery time of the delivered delivery task, the current number of on-duty workers in the hospital logistics and the relevant data of the unfinished tasks received by the on-duty workers;
s2: taking the time of the last 1 year and the type of the issued transportation task as ranges, acquiring the total execution amount and the accumulated execution time of each on duty employee task in the logistics transportation data, and the total per-employee execution amount and the accumulated per-employee execution time of the on duty employees in the logistics transportation data;
s3: obtaining the skillful index of each on-duty employee on the type of the transportation task;
s4: taking the time of the last 1 year as a range, acquiring the average execution time of each transport task type in the logistics transport data;
s5: according to the condition that each on duty employee has received the task, calculating the conflict time of each on duty employee to the issued transportation task and the average conflict time of all on duty employees to the transportation task;
s6: obtaining busy indexes of the on duty workers to the issued transportation tasks;
s7: calculating the matching index of each employee to the type of the transportation task according to the proficiency index and the busy index of each employee, and dispatching the transportation task to the employee with the highest matching index;
in step S3, according to the personnel in the logistics transportation data under the condition of the latest 1 year time and the issued task typeEThe total number of task executions and the cumulative time of the executions, the total number of per-person task executions and the cumulative time of per-person task executions of the on duty employees are calculated, and the employees are calculatedEThe skillful index of the task type is represented by the following formula:
Figure 124370DEST_PATH_IMAGE001
wherein
Figure 262965DEST_PATH_IMAGE002
Is a good master index of the quality of the food,
Figure 93518DEST_PATH_IMAGE003
for staffEThe time is accumulated in the execution of the task,
Figure 601859DEST_PATH_IMAGE004
accumulated time is executed for the on duty staff per-person task,
Figure 201468DEST_PATH_IMAGE005
staff member
Figure 12429DEST_PATH_IMAGE007
The total number of tasks to be performed,
Figure 595857DEST_PATH_IMAGE008
the total number of the per-person tasks of the on duty staff is executed.
2. The hospital logistics transportation system based task scheduling method of claim 1, wherein: in the step S5, the first step is performed,
1) The method according to the estimated completion time is the release time of the task plus the average execution time of the corresponding task type, and the formula is as follows:
Figure 579994DEST_PATH_IMAGE009
whereint Df For a taskDThe time of completion is to be expected and,t D to be a taskDThe time of the issuance of (a) is,
Figure 362005DEST_PATH_IMAGE010
in the last 1 yearC D Average execution time of the type task;
2) Computing taskDTo the staffEThe total conflict time of the received uncompleted tasks is calculated in a mode that two tasks respectively start from the task issuing time and have an overlapped time period to the task predicted completing time, and the employee is setEHas received uncompleted tasksKThen taskDAnd taskKThe calculation formula of the conflict time is as follows:
Figure 406184DEST_PATH_IMAGE011
wherein
Figure 476909DEST_PATH_IMAGE012
Is the time of the conflict between the two tasks,t K 、t Kf are respectively tasksKThe publication time and the expected completion time of (c),t D 、t Df are respectively tasksDThe release time and the expected completion time of (c);
then, according to the formula, calculating the taskDTo the staffEThe total conflict time of each received uncompleted task is given by the formula:
Figure 202419DEST_PATH_IMAGE013
wherein
Figure 776620DEST_PATH_IMAGE014
To be a taskDTo the staffETotal of conflict time, d is employeeEThe number of outstanding tasks that have been received,
Figure 54017DEST_PATH_IMAGE015
is a set of conflict times;
3) Get tasksDThe average conflict time with the on duty staff in the logistics transportation having received the unfinished task is given by the formula:
Figure 346458DEST_PATH_IMAGE016
wherein
Figure 937977DEST_PATH_IMAGE017
To average the time of conflict for the on duty employees,
Figure 304367DEST_PATH_IMAGE018
for a taskDAnd (4) aggregating the conflicts with the employees on duty, wherein n is the number of the employees on duty.
3. The hospital logistics transportation system based task scheduling method of claim 1, wherein: in the step S6, the staff is obtainedERelative to taskDBusy index of, by staffEAnd taskDConflict time, and taskDCompared with the average conflict time of the on duty staff, the formula is as follows:
Figure 690349DEST_PATH_IMAGE019
wherein
Figure 532403DEST_PATH_IMAGE020
In order to be a busy index of the vehicle,
Figure 927613DEST_PATH_IMAGE021
for employeesEAnd taskDThe time of the collision of (a),
Figure 210826DEST_PATH_IMAGE022
for a taskDAverage conflict time with on Shift employees.
4. The hospital logistics transportation system based task scheduling method of claim 1, wherein: in step S7, a matching index of the issued task and the employee is calculated according to the obtained proficiency index and the busy index, which is in direct proportion to the proficiency index and in inverse proportion to the busy index, and in combination with the actual condition, the formula is as follows:
Figure 469507DEST_PATH_IMAGE023
wherein
Figure 736540DEST_PATH_IMAGE024
To be a taskDTo the staffEThe matching index of (a) is determined,
Figure 669861DEST_PATH_IMAGE025
is a master-making index of the quality of the food,
Figure 869898DEST_PATH_IMAGE026
in order to be a busy index,
and after the matching index of each on-duty employee is obtained, scheduling the task to the employee with the highest matching index.
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