CN112508216A - Customer reservation system based on cloud computing and service resource allocation method thereof - Google Patents

Customer reservation system based on cloud computing and service resource allocation method thereof Download PDF

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CN112508216A
CN112508216A CN202011487340.3A CN202011487340A CN112508216A CN 112508216 A CN112508216 A CN 112508216A CN 202011487340 A CN202011487340 A CN 202011487340A CN 112508216 A CN112508216 A CN 112508216A
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client
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李皎
崔帅帅
邹珂梦
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Abstract

The invention provides a customer reservation system based on cloud computing and a service resource allocation method thereof, wherein the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff; acquiring the difficulty of the business of a client according to the reservation information of the client, and acquiring the business level of the client according to the service capability data of a service staff; calculating the service time required by each service staff to receive each customer; obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period; and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals. The technical scheme provided by the invention can solve the problem that the client reservation system cannot utilize service resources with the maximum efficiency.

Description

Customer reservation system based on cloud computing and service resource allocation method thereof
Technical Field
The invention relates to the technical field of customer reservation systems based on cloud computing, in particular to a customer reservation system based on cloud computing and a service resource allocation method thereof.
Background
When people transact business, people need to register at a service network node first and then wait for calling in line, so that the situation of waiting for calling in line can occur. When the business is transacted, if more people queue up, the user needs to wait for a long time, which increases the time cost, and especially when the business is transacted in different places, the situation that the business can not be transacted in the same day due to too many people queue up may occur.
With the development of the internet, each service organization is provided with an online reservation system, and a client can make a reservation in the reservation system in advance and then transact business at the reserved time. However, the existing client reservation system has no reasonable service resource allocation, and cannot utilize the service resource to the maximum extent.
Disclosure of Invention
The invention aims to provide a client reservation system based on cloud computing and a service resource allocation method thereof, so as to solve the problem that the client reservation system in the prior art cannot utilize service resources most efficiently.
In order to achieve the purpose, the invention adopts the following technical scheme:
a client reservation system based on cloud computing structurally comprises a cloud server, a user terminal and a service terminal, wherein the user terminal is used for sending reservation information to the cloud server, and the service terminal is used for inputting a service time period of service personnel; the cloud server is used for executing a client reservation method, and the method comprises the following steps:
the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff;
the client reservation information comprises the number and the type of services required to be transacted by the client and the times of transacting each service;
the service capability data of the service personnel comprises the working years of the service personnel, the feedback scores of the clients, the service capability scores and the average time for processing various services;
step two: acquiring the difficulty of the business of the client according to the reservation information of the client, and acquiring the business level of the client according to the working age of service personnel, the feedback score of the client and the service capability score;
step three: calculating the service time required by each service staff to receive each customer:
obtaining a first time length required by a service staff to receive the client according to the difficulty of the client service and the service level of the service staff, obtaining a second time length required by the service staff to process the client service according to the average time length of various services processed by the service staff, and calculating the service time length required by the service staff to receive the client according to the first time length and the second time length;
step four: obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period; the optimal service resource allocation scheme is a scheme capable of receiving the maximum number of clients in a set time period;
step five: and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals.
Further, the method for acquiring the difficulty level of the salesman according to the client subscription information in the step two comprises the following steps:
classifying each service, and grading each service according to the workload of each service, wherein the higher the workload is, the higher the grade is, so as to obtain the difficulty grade of each service;
then after the services which need to be handled by the client are obtained, the corresponding classification of the services is obtained, and the difficulty grade of each service which needs to be handled by the client is obtained according to the classification of each service;
the difficulty score of the nth service is LnIf the client has transacted the nth service m times, the difficulty level of the nth service of the client is
G1n＝αLn-βlnm
Wherein the n-th service of alpha and beta clientsDifficulty rating LnAnd the number of transactions m.
Further, the working life of the service personnel is set to L0Client feedback score of P1Service ability score of P2Then the service level of the service person is graded as
G2＝alnL0+bP1+cP2
Wherein a, b and c are respectively the working years L of service personnel0Client feedback score P1Service capability score P2The weight of (c).
Further, the client reservation system also comprises a client service terminal, wherein a consultation module is arranged on the user terminal and is used for the client to input the question information; the user terminal sends the question information input by the customer to the customer service terminal, the customer service terminal is used by customer service personnel, and the answer of the question is input on the customer service terminal after the question information of the customer is received.
Further, the method for obtaining the optimal service resource allocation scheme in the fourth step comprises:
(1) and randomly sequencing the set times of clients reserved in the set time period.
(2) The number of clients that can be met in each sorting is calculated as follows:
according to the sequence, sequentially distributing the clients to the service personnel with the shortest service time;
when a service person is allocated with a full member, no client is allocated to the service person, and the client is allocated to other service persons with the shortest service time;
when all service personnel are allocated with full members or all clients are allocated to the service personnel, judging that the sequencing allocation is finished, and obtaining an allocation scheme under the sequencing;
when the distribution is completed, calculating the sum of the number of all doctor patients receiving treatment in the sequence, and taking the sum as the number of the treatment clients in the sequence;
(3) and taking the sequence with the largest number of the reception clients as the optimal sequence, and taking the service resource allocation scheme of the sequence as the optimal service resource allocation scheme.
A service resource allocation method of a customer reservation system based on cloud computing comprises the following steps:
the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff;
the client reservation information comprises the number and the type of services required to be transacted by the client and the times of transacting each service;
the service capability data of the service personnel comprises the working years of the service personnel, the feedback scores of the clients, the service capability scores and the average time for processing various services;
step two: acquiring the difficulty of the business of the client according to the reservation information of the client, and acquiring the business level of the client according to the working age of service personnel, the feedback score of the client and the service capability score;
step three: calculating the service time required by each service staff to receive each customer:
obtaining a first time length required by a service staff to receive the client according to the difficulty of the client service and the service level of the service staff, obtaining a second time length required by the service staff to process the client service according to the average time length of various services processed by the service staff, and calculating the service time length required by the service staff to receive the client according to the first time length and the second time length;
step four: obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period; the optimal service resource allocation scheme is a scheme capable of receiving the maximum number of clients in a set time period;
step five: and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals.
Further, the method for acquiring the difficulty level of the salesman according to the client subscription information in the step two comprises the following steps:
classifying each service, and grading each service according to the workload of each service, wherein the higher the workload is, the higher the grade is, so as to obtain the difficulty grade of each service;
then after the services which need to be handled by the client are obtained, the corresponding classification of the services is obtained, and the difficulty grade of each service which needs to be handled by the client is obtained according to the classification of each service;
the difficulty score of the nth service is LnIf the client has transacted the nth service m times, the difficulty level of the nth service of the client is
G1n＝αLn-βlnm
Wherein the nth service difficulty scores L of the alpha and beta clientsnAnd the number of transactions m.
Further, the working life of the service personnel is set to L0Client feedback score of P1Service ability score of P2Then the service level of the service person is graded as
G2＝alnL0+bP1+cP2
Wherein a, b and c are respectively the working years L of service personnel0Client feedback score P1Service capability score P2The weight of (c).
Further, the client reservation system also comprises a client service terminal, wherein a consultation module is arranged on the user terminal and is used for the client to input the question information; the user terminal sends the question information input by the customer to the customer service terminal, the customer service terminal is used by customer service personnel, and the answer of the question is input on the customer service terminal after the question information of the customer is received.
Further, the method for obtaining the optimal service resource allocation scheme in the fourth step comprises:
(1) and randomly sequencing the set times of clients reserved in the set time period.
(2) The number of clients that can be met in each sorting is calculated as follows:
according to the sequence, sequentially distributing the clients to the service personnel with the shortest service time;
when a service person is allocated with a full member, no client is allocated to the service person, and the client is allocated to other service persons with the shortest service time;
when all service personnel are allocated with full members or all clients are allocated to the service personnel, judging that the sequencing allocation is finished, and obtaining an allocation scheme under the sequencing;
when the distribution is completed, calculating the sum of the number of all doctor patients receiving treatment in the sequence, and taking the sum as the number of the treatment clients in the sequence;
(3) and taking the sequence with the largest number of the reception clients as the optimal sequence, and taking the service resource allocation scheme of the sequence as the optimal service resource allocation scheme.
The invention has the beneficial effects that:
according to the technical scheme provided by the invention, after the client makes an appointment, the service duration required by each service person to receive each client can be determined according to the appointment information of the client, the service time period of the service person and the service capability data of the service person, and the optimal service resource distribution scheme is obtained according to the service duration required by each service person to receive each client, so that the service person can receive the clients with the largest number in the set time period and utilize the service resources with the maximum efficiency.
Drawings
FIG. 1 is a schematic diagram of a cloud computing-based customer reservation system according to an embodiment of the system of the present invention;
fig. 2 is a flowchart of a service resource allocation method of a cloud-computing-based customer reservation system in an embodiment of the system of the present invention.
Detailed Description
The embodiment of the system is as follows:
the embodiment provides a customer reservation system based on cloud computing, the structure of which is shown in fig. 1, and the system comprises a cloud server, a user terminal and a service terminal, wherein the service terminal and the user terminal are both in communication connection with the cloud server.
The user terminal is provided with a reservation module and a reservation result query module, wherein the reservation module is used for sending reservation information to the cloud server, and the reservation result query module is used for sending a query instruction to the cloud server to obtain a reservation result; the service terminal is used for service personnel to use and is provided with a service time setting module and a reception task query module, wherein the service time setting module is used for inputting a service time period of the service personnel and sending the service time period to the cloud server, and the reception task query module is used for sending a query instruction to the cloud server to obtain clients needing to be received in the service time period, and service time and service duration of each client. The cloud server is used for obtaining a customer reception scheme by executing a service resource allocation method according to the reservation information received from the user terminal and the service time of the service staff received from the service terminal.
In this embodiment, a flow of a service resource allocation method executed by a cloud server is shown in fig. 2, and includes the following steps:
the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff;
the client reservation information comprises the number and the type of the services required to be transacted by the client and the times of transacting each service;
service capability data of the service personnel, including the working years of the service personnel, the feedback scores of the clients, the service capability scores and the average time for processing various services;
step two: acquiring the difficulty of the business of the client according to the reservation information of the client, and acquiring the business level of the client according to the working age of service personnel, the feedback score of the client and the service capability score;
step three: calculating the service time required by each service staff to receive each customer:
obtaining a first time length required by a service staff to receive the client according to the difficulty of the client service and the service level of the service staff, obtaining a second time length required by the service staff to process the client service according to the average time length of various services processed by the service staff, and calculating the service time length required by the service staff to receive the client according to the first time length and the second time length;
step four: obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period; the optimal service resource allocation scheme is a scheme capable of receiving the maximum number of clients in a set time period;
step five: and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals.
In step two of this embodiment, the method for obtaining the difficulty level of the service according to the subscription information of the client includes:
classifying each service, and grading each service according to the workload of each service, wherein the higher the workload is, the higher the grade is, so as to obtain the difficulty grade of each service;
and then after the services which need to be handled by the client are obtained, the corresponding classification of the services is obtained, and the difficulty grade of each service which needs to be handled by the client is obtained according to the classification of each service.
The difficulty score of the nth service is LnIf the client transacts the nth service m times, the difficulty level of the nth service of the client is
G1n＝αLn-βlnm
Wherein the nth service difficulty scores L of the alpha and beta clientsnAnd the number of transactions m.
The method for acquiring the service level grade of the service personnel comprises the following steps:
setting the working life of service personnel to be L0Client feedback score of P1Service ability score of P2Then the service level of the service person is graded as
G2＝alnL0+bP1+cP2
Wherein a, b and c are respectively the working years L of service personnel0Client feedback score P1Service capability score P2The weight of (c).
The method for acquiring the first time length for the service personnel to process the nth service of the client comprises the following steps:
firstly, acquiring historical data, counting the average time for the service personnel at each service level grade to process the service at each difficulty level grade, and storing the average time;
then, after the service level of the service personnel is obtained, the average duration of the service level for processing the nth service is found from the stored data and is taken as the first duration H1 of the service personnel for processing the nth service of the clientn。
Setting the average second time length for the service personnel to process the nth service of the client as H2nThe service personnel needs to process the nth service of the client for a period of time
Hn＝pH1n+qH2n
Wherein p and q are each a first duration H1nAnd a second duration H2nAnd p + q is 1.
The service personnel needs to process the business of the client for the time length
Figure BDA0002839698010000061
Setting the time that a service person needs to receive X customers and the time for starting to receive the customers as T0Then the service time for receiving the kth customer is:
Figure BDA0002839698010000062
wherein T isrThe service time required for receiving the r-th client.
In step four, the method for obtaining the optimal service resource allocation scheme comprises the following steps:
(1) and acquiring service personnel for receiving the clients in the set time period, and randomly sequencing the set times of the clients reserved in the set time period.
(2) The number of clients that can be met in each sorting is calculated as follows:
according to the sequence, sequentially distributing the clients to the service personnel with the shortest service time;
the method comprises the steps that according to sequencing, the service time required by each service person to receive the customer is obtained from the first customer, and the customer is distributed to the service person with the shortest service time; by analogy, the ordered customers are respectively distributed to the service personnel with the shortest service time;
when a service person is allocated with a full member, no client is allocated to the service person, and the client is allocated to other service persons with the shortest service time;
the service time of the service personnel is limited by the set time period because the service personnel is distributed in the set time period; let N be the number of customers who have been assigned to one of the service personnel who have waited for the service time t used by the ith customeriThen the service time for receiving N customers is
Figure BDA0002839698010000071
Wherein N is an integer greater than 1 and i is an integer.
If T is larger than the length of the set time period, the service staff is judged to be allocated with full staff, if the service staff with the shortest service time of the subsequent customers is the service staff, the service staff is not allocated to the service staff any more, and the service staff with the shortest service time among other service staff without full staff is allocated.
When all service personnel are allocated with full members or all clients are allocated to the service personnel, judging that the sequencing allocation is finished, and obtaining an allocation scheme under the sequencing;
the obtained distribution scheme comprises the clients to be received by each service staff, the service time and the service duration of each client.
When the assignment is complete, the sum of the number of all doctor's receiving patients in the order is calculated as the number of receiving clients in the order.
Setting the total M as service personnel, wherein the number of customers distributed to the jth service personnel is SjThen the number of the clients to be waited in the sequence is:
Figure BDA0002839698010000072
wherein M is an integer greater than 1 and j is an integer.
(3) And taking the sequence with the maximum number of the reception clients as the optimal sequence, and taking the distribution scheme of the sequence as the optimal distribution scheme.
In this embodiment, the client reservation system further comprises a client service terminal, wherein a consultation module is arranged on the user terminal and is used for the client to input the question information; the user terminal sends the question information input by the client to the customer service terminal, the customer service terminal is used by customer service personnel, and the answer of the question is input on the customer service terminal after the question information of the client is received; the customer service terminal sends the answer of the question to the cloud server, and the cloud server sends the answer of the question to the user terminal, so that information interaction between the customer service terminal and the user terminal is realized, and manual guidance is provided for a client.
In this embodiment, the user terminal is further provided with a service staff information query module, the cloud server is further configured to send the profile of each service staff and the current reservation situation to the user terminal, and the customer can query the profile of each service staff and the current reservation situation in the service staff information query module of the user terminal, where the profile of the service staff includes the working age and professional speciality of the service staff.
In this embodiment, the user terminal is further provided with a reminding module, after receiving the reservation information of the user, the cloud server obtains the document and the certificate required by the service to be handled according to the service to be handled and sends the document and the certificate to the user terminal, and the reminding module of the user terminal displays the document and the certificate on the user terminal to remind the client of carrying the document and the certificate required by the service to be handled when handling the service. The method comprises the following steps:
the present embodiment provides a medical resource allocation method for a medical system based on cloud computing, which is the same as the medical resource allocation method for a medical system based on cloud computing in the above system embodiment, and the method has been described in detail in the above system embodiment, and will not be described here.
The embodiments of the present invention disclosed above are intended merely to help clarify the technical solutions of the present invention, and it is not intended to describe all the details of the invention nor to limit the invention to the specific embodiments described. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.

Claims (10)

1. A client reservation system based on cloud computing structurally comprises a cloud server, a user terminal and a service terminal, wherein the user terminal is used for sending reservation information to the cloud server, and the service terminal is used for inputting a service time period of service personnel; the method is characterized in that the cloud server is used for executing a client reservation method, and the method comprises the following steps:
the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff;
the client reservation information comprises the number and the type of services required to be transacted by the client and the times of transacting each service; the service capability data of the service personnel comprises the working years of the service personnel, the feedback scores of the clients, the service capability scores and the average time for processing various services;
step two: acquiring the difficulty of the business of the client according to the reservation information of the client, and acquiring the business level of the client according to the working age of service personnel, the feedback score of the client and the service capability score;
step three: calculating the service time required by each service staff to receive each customer:
obtaining a first time length required by a service staff to receive the client according to the difficulty of the client service and the service level of the service staff, obtaining a second time length required by the service staff to process the client service according to the average time length of various services processed by the service staff, and calculating the service time length required by the service staff to receive the client according to the first time length and the second time length;
step four: obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period;
the optimal service resource allocation scheme is a scheme capable of receiving the maximum number of clients in a set time period;
step five: and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals.
2. The cloud-computing-based customer reservation system according to claim 1, wherein the method for obtaining the difficulty level of the waiters according to the customer reservation information in the second step comprises:
classifying each service, and grading each service according to the workload of each service, wherein the higher the workload is, the higher the grade is, so as to obtain the difficulty grade of each service;
then after the services which need to be handled by the client are obtained, the corresponding classification of the services is obtained, and the difficulty grade of each service which needs to be handled by the client is obtained according to the classification of each service;
the business that the client needs to handle is set to be N, wherein the business of the nth typeDifficulty score LnIf the client has transacted the nth service m times, the difficulty level of the nth service of the client is
G1n＝αLn-βln m
Wherein the nth service difficulty scores L of the alpha and beta clientsnAnd the number of transactions m.
3. The cloud-computing-based customer reservation system of claim 1, wherein the service personnel working life is set to L0Client feedback score of P1Service ability score of P2Then the service level of the service person is graded as
G2＝aln L0+bP1+cP2
Wherein a, b and c are respectively the working years L of service personnel0Client feedback score P1Service capability score P2The weight of (c).
4. The cloud-computing-based client reservation system according to claim 1, wherein the client reservation system further comprises a client service terminal, the client terminal is provided with a consultation module, and the consultation module is used for a client to input question information; the user terminal sends the question information input by the customer to the customer service terminal, the customer service terminal is used by customer service personnel, and the answer of the question is input on the customer service terminal after the question information of the customer is received.
5. The cloud-computing-based customer reservation system according to claim 1, wherein the method for obtaining the optimal service resource allocation scheme in the fourth step comprises:
(1) and randomly sequencing the set times of clients reserved in the set time period.
(2) The number of clients that can be met in each sorting is calculated as follows:
according to the sequence, sequentially distributing the clients to the service personnel with the shortest service time;
when a service person is allocated with a full member, no client is allocated to the service person, and the client is allocated to other service persons with the shortest service time;
when all service personnel are allocated with full members or all clients are allocated to the service personnel, judging that the sequencing allocation is finished, and obtaining an allocation scheme under the sequencing;
when the distribution is completed, calculating the sum of the number of all doctor patients receiving treatment in the sequence, and taking the sum as the number of the treatment clients in the sequence;
(3) and taking the sequence with the largest number of the reception clients as the optimal sequence, and taking the service resource allocation scheme of the sequence as the optimal service resource allocation scheme.
6. A service resource allocation method of a customer reservation system based on cloud computing is characterized by comprising the following steps:
the method comprises the following steps: acquiring reservation information of a client, a service time period of a service staff and service capacity data of the service staff;
the client reservation information comprises the number and the type of services required to be transacted by the client and the times of transacting each service; the service capability data of the service personnel comprises the working years of the service personnel, the feedback scores of the clients, the service capability scores and the average time for processing various services;
step two: acquiring the difficulty of the business of the client according to the reservation information of the client, and acquiring the business level of the client according to the working age of service personnel, the feedback score of the client and the service capability score;
step three: calculating the service time required by each service staff to receive each customer:
obtaining a first time length required by a service staff to receive the client according to the difficulty of the client service and the service level of the service staff, obtaining a second time length required by the service staff to process the client service according to the average time length of various services processed by the service staff, and calculating the service time length required by the service staff to receive the client according to the first time length and the second time length;
step four: obtaining an optimal service resource allocation scheme according to the reception duration of each service worker to each client in a set time period;
the optimal service resource allocation scheme is a scheme capable of receiving the maximum number of clients in a set time period;
step five: and respectively sending the clients to be served by each service staff in the optimal service resource allocation scheme, the service time and the service duration for serving each client to the corresponding service terminals, and respectively sending the service staff to be served by each client, the service time and the service duration to the corresponding user terminals.
7. The method for allocating service resources to a cloud-based customer subscription system according to claim 6, wherein the method for obtaining the difficulty level of the serviceman according to the customer subscription information in the second step comprises:
classifying each service, and grading each service according to the workload of each service, wherein the higher the workload is, the higher the grade is, so as to obtain the difficulty grade of each service;
then after the services which need to be handled by the client are obtained, the corresponding classification of the services is obtained, and the difficulty grade of each service which needs to be handled by the client is obtained according to the classification of each service;
the difficulty score of the nth service is LnIf the client has transacted the nth service m times, the difficulty level of the nth service of the client is
G1n＝αLn-βln m
Wherein the nth service difficulty scores L of the alpha and beta clientsnAnd the number of transactions m.
8. The method of claim 6, wherein the working life of the service person is L0Client feedback score of P1Service ability score of P2Then the service level of the service person is graded as
G2＝a ln L0+bP1+cP2
Wherein a, b and c are respectively the working years L of service personnel0Client feedback score P1Service capability score P2The weight of (c).
9. The service resource allocation method of the cloud-based client reservation system according to claim 6, wherein the client reservation system further comprises a client service terminal, the user terminal is provided with a consultation module, and the consultation module is used for the client to input question information; the user terminal sends the question information input by the customer to the customer service terminal, the customer service terminal is used by customer service personnel, and the answer of the question is input on the customer service terminal after the question information of the customer is received.
10. The method for allocating service resources of a cloud-based computing client reservation system according to claim 6, wherein the method for obtaining the optimal service resource allocation scheme in the fourth step is as follows:
(1) and randomly sequencing the set times of clients reserved in the set time period.
(2) The number of clients that can be met in each sorting is calculated as follows:
according to the sequence, sequentially distributing the clients to the service personnel with the shortest service time;
when a service person is allocated with a full member, no client is allocated to the service person, and the client is allocated to other service persons with the shortest service time;
when all service personnel are allocated with full members or all clients are allocated to the service personnel, judging that the sequencing allocation is finished, and obtaining an allocation scheme under the sequencing;
when the distribution is completed, calculating the sum of the number of all doctor patients receiving treatment in the sequence, and taking the sum as the number of the treatment clients in the sequence;
(3) and taking the sequence with the largest number of the reception clients as the optimal sequence, and taking the service resource allocation scheme of the sequence as the optimal service resource allocation scheme.
CN202011487340.3A 2020-12-16 2020-12-16 Customer reservation system based on cloud computing and service resource allocation method thereof Pending CN112508216A (en)

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