JP5449499B1 - Demand supply matching method and program - Google Patents

Abstract

Even if there are a plurality of operations, it is possible to more appropriately allocate supply to the demand of each operation.
A volunteer matching model is created based on request information and desired information input by a client and a volunteer. In the volunteer matching modeling process, a plurality of I _i (i = 1,..., N) are defined in the intent that associates the client's request with the volunteer's request, and the client's request is defined for each intent I _i. the supply level representing the magnitude of the influence of demand levels and volunteers representing the magnitude of demand is calculated respectively calculated using the deviation D _i by, and the average value D _g of these deviations D _i and the deviation in all intents Let the deviation be the target deviation e _i . Then, volunteers are assigned so that the target deviation e _i approaches 0 for each intent.
[Selection] Figure 2

Description

  The present invention relates to a supply and demand matching method and program used for supporting volunteer activities, for example.

  In an environment where victims' demands change rapidly, such as during a disaster, it is expected that the support function for volunteer activities will not be performed properly. In fact, for example, in the Great East Japan Earthquake in 2011, it has been reported that the function of coordinating volunteers manually was paralyzed and volunteer matching could not be performed efficiently.

  Thus, recently, a technique for automating the coordination of volunteers using a computer has been proposed. For example, as illustrated in Non-Patent Document 1, this is a disaster volunteer activity support system using SNS. This system considers the abilities of volunteer volunteers and uses a hierarchy start decision method to match volunteers and work content.

“Construction of Disaster Volunteer Activity Support System Based on SNS”, Tatsuya Hiramatsu, Makoto Fujisawa, Toshiyuki Amano, Jun Miyazaki, Hirokazu Kato, Human Interface Society Research Report 2010 (Vol.12 No3 SIG-CE-01)

  However, in the system described in Non-Patent Document 1, since the relationship between the supply on the volunteer side and the demand on the volunteer side for each work of the volunteer and the importance of the work are not sufficiently considered, Unfair assignments may occur. In addition, only the static state of the client and volunteers is considered, and changes in the situation in time series are not taken into account.For this reason, volunteers are assigned when the request content changes drastically, such as during a disaster. It cannot be done properly.

  The present invention has been made paying attention to the above circumstances, and a main object thereof is to provide a demand supply matching method and a program that can more appropriately allocate supply to the demand of each work when there are a plurality of works. There is.

  In order to achieve the above object, a first aspect of the present invention is to accept input of information indicating a client's request for work and information indicating a supplier's request, and request from the client and the supplier's request. Is defined as an intent, and for each defined intent, the demand of the client based on the information indicating the request of the client input and the information indicating the supplier's request Calculate the level and the supplier's supply level. Then, for each intent, a target achievement degree deviation representing a deviation between the calculated demand level and supply level is obtained, and an average value of the target achievement degree deviation of the intent and the target achievement degree deviation in all intents; Is determined as the target deviation, the supplier's assignment to the work is controlled to reduce the obtained target deviation, and information indicating the assignment result is output.

The first aspect of the present invention is characterized by comprising the following aspects.
In the first aspect, when the demand level is calculated by summing the demands of the requester based on the information representing the request of the inputted requester, the demand caused by the specific requester of the specific intent The level is the sum of the importance levels for all intents requested by the client, and processing is performed to normalize the importance levels for the specific intent.

  In the second aspect, when the supplier allocation control is performed, the supplier allocation control is preferentially performed for an intent having a large target deviation among the plurality of intents.

  In the third aspect, when performing the allocation control of the supplier, the target deviation is integrated for each intent over a preset period in the past, and the target deviation is integrated among the plurality of intents. The supplier allocation control is performed preferentially for intents with large values.

  In the fourth aspect, when the supplier allocation control is performed, the degree of time variation of the target deviation is obtained for each intent, and the degree of time variation of the target deviation among the plurality of intents is determined. The supplier allocation control is preferentially performed for a large intent.

  According to one aspect of the present invention, an intent is defined as a concept in which a request of a client and a request of a supplier are associated, and for each intent, a demand level of the client and a supply level of the supplier are defined. And the average value of the target achievement degree deviations in all intents are obtained as target deviations, and supplier assignment control is performed so that the target deviations are reduced. For this reason, it is possible to assign suppliers in accordance with demand for each intent, that is, for each work.

  In addition, according to the first aspect of one aspect of the present invention, the demand level caused by a specific client of a specific intent is the sum of the importance levels for all the intents. The importance is set to a normalized value. For this reason, it is possible to assign suppliers in consideration of the weight of one vote of the amount of transmitted demand.

  According to the second aspect, the supplier is preferentially assigned to an intent having a large target deviation among a plurality of intents. For this reason, for example, when new supply information is input, it is possible to assign a new supplier to an intent having the largest supply-demand balance based on the current request of the requester and the request of the supplier.

  According to the third aspect, for each intent, the supplier is preferentially assigned to the intent having a large integrated value of the target deviation over the past certain period. For this reason, the supply of the supplier is preferentially performed in consideration of the demand of the minority that has been waiting for a longer period of time than the demand of the majority. Therefore, it is possible to perform assignment with high fairness in consideration of the demand of the minority that exists for a long time.

  According to the fourth aspect, for each intent, a supplier is preferentially assigned to an intent having a large degree of temporal change in the target deviation. For this reason, for example, in a disaster area, when a demand from a client for a specific work is expected to increase rapidly, it becomes possible to quickly assign a supplier to the corresponding intent. That is, timely allocation can be performed in anticipation of a surge in demand in the near future.

  That is, according to the present invention, it is possible to provide a demand supply matching method and program that can more appropriately and fairly allocate the supply to the demand of each work when there are a plurality of works.

The block diagram which shows the structure of the demand supply matching apparatus which concerns on one Embodiment of this invention. The flowchart which shows the process sequence and process content by the demand supply matching apparatus shown in FIG. The flowchart which shows the procedure and process content of an initial stage information input process among the flowcharts shown in FIG. The flowchart which shows the procedure and process content of a volunteer matching model process among the flowcharts shown in FIG. The flowchart which shows the procedure and process content of an update information input process among the flowcharts shown in FIG. The flowchart which shows the process sequence and process content of supply-and-demand balance control among the flowcharts shown in FIG.

Embodiments according to the present invention will be described below with reference to the drawings.
[One Embodiment]
One embodiment of the present invention is used for the purpose of supporting volunteer activities for disaster victims during a disaster. Here, a person who performs volunteer activities is called a “volunteer”, and a person who uses this volunteer is called a “client”.

In general, volunteer requests and client requests can be considered as two sides of the same concept, and this concept is defined as “intent”. Demand and supply in volunteer activities are related to intents. The intent has “demand level” indicating how much it is required from the client side and “supply level” indicating how much the volunteer side provides as parameters. A model in which a demand level and a supply level are defined for each intent is defined as a “volunteer matching model”.
The present embodiment uses this volunteer matching model to keep a balance between supply and demand among a plurality of intents.

(Constitution)
FIG. 1 is a block diagram showing the configuration of a demand / supply matching apparatus according to an embodiment of the present invention. In the figure, SV represents a demand / supply matching apparatus, and TM1 to TMn represent user terminals. The user terminals TM1 to TMn can communicate with the demand / supply matching device SV via the communication network NW.

  The user terminals TM1 to TMn are, for example, portable terminals such as smartphones, tablet terminals, and notebook personal computers, and are used by the client and volunteers to input demand information and supply information, respectively. The user terminals TM1 to TMn are digitally installed in public spaces such as fixed installation personal computers and television terminals, office buildings, schools, and meeting halls connected to communication networks via wired lines. A signage terminal may be used.

  On the other hand, the demand supply matching device SV is formed of a Web server, for example, and includes a main control unit 1. The main control unit 1 includes, as functions necessary for realizing this embodiment via the bus 2, an initial information input processing unit 3, an update information input processing unit 4, a volunteer matching model processing unit 5, A supply and demand balance control unit 6 is connected to each other, and a client information storage unit 7, a volunteer information storage unit 8, a demand / supply level storage unit 9, and a communication interface 10 are connected to each other.

  Of these functions, the main control unit 1, the initial information input processing unit 3, the update information input processing unit 4, the volunteer matching model processing unit 5 and the supply and demand balance control unit 6 are applications stored in a program memory (not shown). Realized by causing a CPU (not shown) to execute the program.

  When the requester's new demand information and volunteer's new supply information transmitted from the user terminals TM1 to TMn are received by the communication interface 10, the initial information input processing unit 3 receives the received new demand information and new supply information. Are stored in the requester information storage unit 7 and the volunteer information storage unit 8 in association with the requester ID and the volunteer ID of the transmission source.

  When the update information input processing unit 4 receives the update demand information transmitted from the user terminals TM1 to TMn by the requester and the supply information for update by the volunteer through the communication interface 10, the update information input processing unit 4 receives the received update information. A process of adding or updating the request information and the supply information in the requester information storage unit 7 and the volunteer information storage unit 8 in association with the requester ID and the volunteer ID of the transmission source is executed.

  When the demand information and supply information are newly stored in the requester information storage unit 7 and the volunteer information storage unit 8, and when added or updated, the volunteer matching model processing unit 5 stores the stored demand information. Then, a demand level and a supply level for each intent are determined based on the supply information, and a process for determining a target deviation value based on the determination result of the demand level and the supply level is executed. The target deviation value is obtained as a deviation of the supply / demand balance of the intent with respect to the supply / demand balance of the entire intent.

  The supply-demand balance control unit 6 determines which intent among the plurality of intents to match the volunteer as the supply source when the volunteer supply information is added or updated. Based on the supply / demand balance correction processing based on the past information, the supply / demand balance correction processing based on the past information and the supply / demand balance correction processing based on the prediction of future information are executed. And based on these processing results, the process which determines which said volunteer is allocated to which intent is performed.

(Operation)
Next, the supply and demand matching processing operation by the apparatus configured as described above will be described.
Each of the plurality of clients operates his / her own user terminals TM1, TM2,... To request a plurality of requests such as how many volunteers having what ability or practical experience for what kind of work. The request information including the request is input, and the input request information is transmitted to the demand supply matching device SV.

  The content of the request information is not limited to the above items, and can be arbitrarily set. However, it is desirable that input template data describing predetermined items is downloaded from the demand supply matching apparatus SV, and the requester describes or selects the desired content in the input template data and transmits it.

  On the other hand, a plurality of volunteers operate their own user terminals TMk, TMk + 1,..., For example, a desired work name, information indicating qualifications and professional skills, presence / absence of work experience, hopes including attributes such as age and gender. Information is input and the input desired information is transmitted to the demand supply matching device SV.

  The content of the desired information is not limited to the above items, and can be arbitrarily set. However, like the request information transmitted by the client, input template data describing predetermined items is downloaded from the demand / supply matching device SV, and volunteers describe or select desired contents in the input template data and transmit it. It is desirable to do.

  Further, the system operator inputs information representing a predetermined intent and its importance to the demand supply matching device SV from, for example, its own terminal.

On the other hand, the demand supply matching device SV executes the following process under the control of the main control unit 1. FIG. 2 is a flowchart showing the processing procedure and processing contents.
(1) Acceptance of initial information input When demand information and desired information transmitted from the requester user terminals TM1, TM2,... And volunteer user terminals TMk, TMk + 1,. The main control unit 1 of the matching device SV activates the initial information input processing unit 3 in step S11. The initial information input processing unit 3 executes an initial information input receiving process as follows. FIG. 3 is a flowchart showing the processing procedure and processing contents.

That is, the initial information input processing unit 3 first stores the received desired information from the volunteer in the volunteer information storage unit 8 in association with the volunteer ID as new supply information in step S21. Next, in step S22, the received request information from the requester is stored in the requester information storage unit 7 as new demand information in association with the requester ID. Further, in step S23, the intent inputted by the system operator and information indicating the importance are stored in the demand / supply level storage unit 9. Here, since the intent is limited, the maximum value is n, and each intent is represented by I _i (i = 1,..., N).

(2) Volunteer matching model processing When the input of the initial information is completed, the main control unit 1 of the demand supply matching device SV activates the volunteer matching model processing unit 5 in step S12. The volunteer matching model processing unit 5 executes the following processing. FIG. 4 is a flowchart showing the processing procedure and processing contents.

(2-1) Determination of Demand Level That is, the volunteer matching model processing unit 5 determines i = 1 from all intents I _i (i = 1,..., N), that is, intent I ₁ in step S31. select. At first step S32 in this state, it determines the demand level d _i in the initial state for the intent I ₁ which is the selected. The determination of the demand level d _i is performed as follows.
In the demand level determination process, the following two points are considered.
(1) intent I _i-specific importance wI _i
(2) Total demand d _Hi for the client for intent I _i
The importance wI _i unique to the intent is set in advance by the system operator.

First, the demand amount d _Hi of the entire client for the intent I _i is quantified. For example, normalization is performed for the importance wI _i unique to the intent I _i set in order to consider the weight of one vote. That is, it is determined that the importance of the former client is high in the client who has transmitted the request only to the intent I _i and the client who has transmitted the request to a plurality of other intents including the intent I _i. . By doing so, it is possible to ensure fairness. Then, to determine the requester side of demand d _Hi for intent I _i by taking the sum of the client who has transmitted the request against intent I _i.

により算出される。そして、この算出された依頼者側の需要量ｄ_Hiと、インテントＩ_i 固有の重要度ｗ_Ｉiとから、インテントＩ_i に対する需要レベルｄ_i は、
ｄ_i ＝ｗ_Ｉi ｄ_Hi …（２）
により計算される。 Now, _assuming that the sum of the clients is m and the importance of the client j (j = 1,..., _M) with respect to the intent I _i is w _Hij , the demand amount d _Hi on the client side is

Is calculated by Then, a demand d _Hi this calculated requester side, and a intent I _i unique importance w _Ii, the level of demand d _i for intent I _{i,
d i = w Ii d Hi ...} (2)
Is calculated by

(2-2) Determination of Supply Level s _i Next, in step S33, the supply level s _i in the initial state is determined for the selected intent I ₁ . The determination of the supply level s _i is performed as follows.
In the supply level determination process, the following two points are considered.
(1) Compatibility w _ci for supply side intent I _i
(2) Influence s _ei on supply side intent I _i

First, the compatibility of volunteer k with intent I _i is defined as w _cik . This value is used to determine whether or not the professional ability and technology possessed by the volunteer k match the intent I _i . For example, a qualification such as “doctor's license” is defined in advance for an intent “I want surgical medical support”, and a value is given only when a volunteer with a doctor's license equivalent is registered. As a specific value calculation method, the specialized ability required for each intent I _i is specified in advance, and the qualification included in the desired information entered when the volunteer k is registered. And a method of calculation based on information representing professional ability.

Next, the influence s _eik of volunteer k on intent I _i is defined. This is a parameter indicating how much the volunteer k can contribute to the intent I _i . For example, since the influence varies depending on the experience value even in the same volunteer, it is this parameter to consider them. As a specific value calculation method, a method of calculating based on information representing practical experience and volunteer experience included in the desired information input when the volunteer is registered is used.
In other words, the former compatibility w _cik is a parameter that takes into account the presence or absence of professional ability, and the influence of the latter, and s _eik is a parameter that takes into account experience values and physical strength.

として計算される。ただし、ここでは新たなボランティアが入る前のボランティアの総和数をｌ（スモールエル）としている。 Supply level s _i for intent I _i of the supply side, so the sum of the supply level for all volunteers,

Is calculated as However, here, the total number of volunteers before a new volunteer enters is assumed to be 1 (small L).

(2-3) Determination of Target Deviation Value e _i Next, in step S34, the target deviation is determined based on the demand level d _i and supply level s _i for the intent I _i calculated in steps S32 and S33, respectively. Determine the value e _i . The process for determining the target deviation value e _i is composed of the following three processes.
(1) Relative evaluation deviation and absolute evaluation deviation calculation processing
(2) Target achievement deviation calculation processing
(3) Target value decision processing

First, the relative evaluation deviation and the absolute evaluation deviation are calculated in consideration of the demand level d _i and the supply level s _i . The relative evaluation deviation R _i is an index indicating what percentage of supply is required for the required demand level. For example, if d _i = 4 and s _i = 1, it is estimated that intent I _i needs another 75% supply. On the other hand, the absolute evaluation deviation Ai is an index indicating how much supply is required with respect to the required demand level. For example, if d _i = 4 and s _i = 1, it is estimated that the intent I _i needs to further increase the supply level by three. The relative evaluation deviation R _i and the absolute evaluation deviation A _i are respectively
R _i = (d _i −s _i ) / d _i (4)
A _i = d _i −s _i (5)
Is calculated by

Next, the target achievement degree deviation is calculated. In this calculation process, first, an appropriate parameter β (0 ≦ β ≦ 1) is set to perform weighting between the calculated relative evaluation deviation R _i and absolute evaluation deviation A _i , and the target achievement degree deviation is set to D _i. Is determined by the following equation.
D _i = βR _i + (1−β) A _i (6)

と定義する。 Subsequently, D _g is the target value deviation calculated from the overall demand level and supply level in the range that considers volunteer support.

It is defined as

The target of supply and demand balance control is to set D _i → 0. However, each target value is determined in consideration of the supply and demand balance of all intents. That is, when the supply and demand balance as a whole is not achieved (D _g > 0), the deviation between the supply and demand balance D _i of the intent I _{i and} the supply and demand balance D _g of the entire intent is set as the target deviation value e _i . The target deviation value e _i is
e _i = D _i −D _g (8)
Is calculated by
By doing so, it becomes possible to correct the difference in supply and demand balance between intents, and volunteer matching that ensures fairness becomes possible.

Finally, in step S35, the volunteer matching processing unit 5 performs the processes (2-1) to (2-3) in steps S32 to S34 for all intents I _i (i = 1,..., N). It is determined whether or not it has been completed. If an unprocessed intent remains, the process returns to step S32, and the processes (2-1) to (2-3) are performed on the unprocessed intent. Thereafter, similarly, the above processes (2-1) to (2-3) are repeatedly executed for all intents.
The demand level d _i , supply level s _i, and target deviation value e _i for the intent I _i (i = 1,..., N) calculated in the above process are stored in the demand / supply level storage unit 9. The

(3) Acceptance of input of update information When calculation and storage of demand level d _i , supply level s _i and target deviation value e _{i in} the initial state for each intent I _i (i = 1,..., N) is completed. In step S13, the main control unit 1 of the demand supply matching apparatus SV monitors update information input processing by the requester and volunteer terminals. When update information input in these terminals is received by the communication interface 10, the update information input processing unit 4 is activated in step S13. The update information input processing unit 4 executes update information input acceptance processing as follows. FIG. 5 is a flowchart showing the processing procedure and processing contents.

  That is, the update information input processing unit 4 first stores the received desired information from the volunteer in the volunteer information storage unit 8 in association with the volunteer ID as additional supply information in step S41. Next, in step S42, the received new request information from the client is stored in the client information storage unit 7 as additional demand information in association with the client ID.

(4) Volunteer matching control considering supply and demand balance The main control unit 1 repeatedly monitors the presence or absence of the update information in step S14. Then, as described above, when new volunteer request information is additionally stored in the volunteer information storage unit 8, the supply-demand balance control unit 6 is activated in step S15. Based on the update information, the supply and demand balance control unit 6 executes a process for determining which intent to match the new volunteer with considering the supply and demand balance as follows. FIG. 6 is a flowchart showing the processing procedure and processing contents.

In this supply and demand balance control, the following four processes are executed.
(1) Correction of supply-demand balance based on current information
(2) Correction of supply-demand balance in consideration of past information
(3) Correction of supply-demand balance based on future information forecasts
(4) Input decision

(4-1) Correction of Supply-Demand Balance Based on Current Information First, in step S51, the supply-demand balance control unit 6 executes processing for correcting the supply-demand balance based on current information. In this process, in view of the demand-supply balance based on the current information, it allocates a new volunteer intents target differential value e _i is the largest of all intents. That means
i = argmaxe _i (9)
By doing so, it is determined which intent the volunteer is assigned to.

(4-2) Correction of Supply-Demand Balance Considering Past Information Next, in step S52, the supply-demand balance control unit 6 preferentially assigns volunteers to intents that have not been resolved for a long time from the past to the present. Then, correct the supply-demand balance in consideration of past information.

To take into account the time change of the target deviation e _i, the temporal change of the target deviation e _i of a certain intent I _i and e _i (t). Then, the total deviation value from the past to the present is
i = argmax∫e _i (t) dt (if D _i > 0, else∫e _i (t) dt = 0)
(10)
It is expressed. This equation is used to determine to which intent the volunteer supply is allocated.

For the conditional branch, the integration result ∫e _i (t) dt is set to 0 when D _i = 0. This is because if the integration result ∫e _i (t) dt is not set to 0 when D _i = 0, an overshoot of e _i (t) is caused, resulting in excessive supply.

(4-3) Consideration of weighting for rapidly increasing demand (Correction of supply-demand balance based on forecasts of future information)
If we do not respond promptly to intents where demand will rise rapidly in a short period of time or supply will rise rapidly, the supply and demand balance is expected to worsen in the near future. Therefore, in step S53, the supply-demand balance control unit 6 performs a process for correcting the supply-demand balance based on the prediction of future information, and gives priority to intents in which demand or supply increases rapidly in a short time. Try to assign volunteers.

により表される。この式を用いて、どのインテントに対してボランティアの供給を割り当てるかを決定する。ただし、Ｔは数時間を目安に設定する。 Rapid changes that give future information

It is represented by This equation is used to determine to which intent the volunteer supply is allocated. However, T is set with several hours as a guide.

により決定する。但し、Ｋ_p 、Ｋ_i 、Ｋ_d ≧０はそれぞれ重みパラメータである。この式は、新たなボランティアが追加割り当てされる前の需給バランスの時系列変化から、現在ボランティアを必要としている程度を評価する式である。 (4-4) Determination of input In the process of determining the priority of the target value deviation value e _i , the three elements obtained by the above (4-1) to (4-3) are combined. That is,

Determined by However, K _p , K _i , K _d ≧ 0 are weight parameters, respectively. This formula evaluates the degree of need for volunteers from the time-series change in the supply and demand balance before new volunteers are additionally allocated.

Furthermore, in order to consider the compatibility between the newly added l + 1th volunteer and the intent I _i , as in the equation (3),
f _2i = w _{c (l + 1)} s _{ei (l + 1)} (13)
Consider.
Therefore, in the input determination process, the adjustment parameter γ (0 ≦ γ ≦ 1) is used.
i = argmax (γf _1i + (1−γ) f _2i ) (14)
Calculated by

Information regarding the intent I _i to be assigned to a volunteer determined by each of the processes described above is stored in the volunteer information storage unit 8.

(5) Update of Volunteer Matching Model When the intent I _{i that} is the volunteer assignment destination is determined by the supply and demand balance control process, the main control unit 1 starts the volunteer matching model processing unit 5 again in step S16. For each intent I _i , the volunteer matching model processing unit 5 determines the demand level and supply level calculation processing described in steps S32 to S34 in FIG. 4 and the target value e _i using the calculation result. The process is executed, and the supply / demand level storage unit 9 is updated based on the result.

(6) Output of allocation result When the volunteer matching model update process is completed, the main control unit 1 determines in step S17 whether the supply-demand balance of each intent has been corrected based on the updated target value e _i. Determine whether. As a result of this determination, for example, if the target value falls below a preset threshold value, the new assignment information is transmitted to the corresponding client and volunteer terminals, and the process is terminated. On the other hand, if the target value is not less than or equal to the threshold value, the process returns to step S13, and after waiting for registration of a new volunteer, the supply / demand balance control process and the volunteer matching model update process described above are executed.

(Effect of one embodiment)
As described above in detail, in one embodiment, the request information and the desired information are received from the terminals TM1 to TMn used by the client and the volunteer, and the volunteer matching model processing unit is based on the input desired information and the desired information. A volunteer matching model is created according to 5. The volunteer matching model defines a plurality of I _i (i = 1,..., N) in the intent that associates the client's request with the volunteer's request, and the client's request is determined for each of these intents I _i . the supply level representing the magnitude of the influence of demand levels and volunteers indicating the size calculated respectively calculated using the deviation D _i, the deviation between the average value D _g of these deviations D _i and the deviation in all intents The target deviation is e _i . The supply-demand balance control unit 6 assigns volunteers so that the target deviation e _i approaches 0 for each intent. Therefore, volunteer matching corresponding to the demand can be performed for each intent.

  In addition, when calculating the demand level, the weighting coefficient is set higher than the others for the specific intent and the specific requester in consideration of the urgency and importance, and the specific intent and the specific request are set. The demand level resulting from the client is the sum of the importance levels for all intents requested by the client, and is a value obtained by normalizing the importance levels for the specific intent.

  For this reason, even if the level of claims is different due to differences in information transmission capabilities on the client side, volunteers who consider both the quantity and quality of the client side demanding equality in the event of an emergency, etc. Matching can be performed. For example, if you want to use multiple requests such as “I want to use the phone”, “I want to receive medical assistance”, “I want to play music”, “I want to drink” at the shelter, If there is a person who sends one piece of information, such as “I want to receive medical assistance”, the latter is judged to have a higher demand level than the former for “receiving medical assistance”. It becomes possible to assign. That is, it is possible to assign volunteers in consideration of not only the quantity but also the quality of the request of the client, that is, considering the weight of one vote. Thereby, high uniformity can be maintained.

Furthermore, when performing volunteer matching, volunteers are assigned to the intent having the largest target deviation e _i among a plurality of intents. For this reason, for example, when a new volunteer is registered, it becomes possible to assign this volunteer to the intent having the largest supply-demand balance at the present time.

Further, for each intent, volunteers are preferentially assigned to intents having a large integrated value of the target deviation e _i over a certain period in the past. For this reason, the allocation of volunteers is prioritized in consideration of the demand of the minority that has been waiting for a longer period of time than the demand of the majority. Therefore, it is possible to perform assignment with high fairness in consideration of the demand of the minority that exists for a long time. For example, demand such as “I want to play music” at a refuge is considered to be a minority opinion with low priority. However, if you keep waiting for several months, the priority will increase with the passage of time, and volunteers can be assigned to this demand. That is, it is possible to ensure the equality of volunteer assignment to demand.

Further, for each intent, volunteers are preferentially assigned to intents whose degree of temporal change of the target deviation e _i is large. For this reason, for example, in a disaster area, when it is expected that the demand from a client for a specific work is expected to increase rapidly, it becomes possible to quickly assign volunteers to the corresponding intent. In other words, it is possible to assign appropriate volunteer personnel in anticipation of a surge in demand in the near future. For example, it is known that the demands of disaster victims and return home refugees change from moment to moment in disaster areas and transportation facilities during disasters. By performing the above-described processing for such rapidly increasing demand or decreasing demand, it is possible to efficiently transport goods without delay.

[Other Embodiments]
The present invention is not limited to the above embodiment. For example, in the above-described embodiment, volunteer matching in an affected area has been described as an example, but when applying for employment or job dispatch, it is applied to a system that assigns applicants to job seekers based on job offer and application information. Also good.

  Moreover, although the case where the demand supply matching process is executed in the server device has been described as an example in the embodiment, it may be executed in a terminal used by the client. In addition, the processing procedure and processing contents of the demand supply matching processing can be variously modified and implemented without departing from the gist of the present invention.

  In short, the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Further, various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be deleted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

  SV ... demand supply matching device, TM1 to TMn ... user terminal, NW ... communication network, 1 ... main control unit, 2 bus, 3 ... initial information input processing unit, 4 ... update information input processing unit, 5 ... volunteer matching model processing , 6 ... supply and demand balance control unit, 7 ... requester information storage unit, 8 ... volunteer information storage unit, 9 ... demand / supply level storage unit, 10 ... communication interface.

Claims (6)

A demand supply matching method executed by a computer device having a function of assigning a supplier to the work based on a relationship between a demand of a client and a supply of a supplier for the work,
A process of accepting input of information indicating the request of the client for the work and information indicating the request of the supplier;
A concept in which the request of the client and the request of the supplier are associated is defined as an intent, and information indicating the input request of the client and the supplier's request for each of the plurality of defined intents. A process of calculating the demand level of the requester and the supply level of the supplier based on information representing hope;
For each intent, a target achievement degree deviation representing a deviation between the calculated demand level and supply level is obtained, and a deviation between the target achievement degree deviation of the intent and the average value of the target achievement degree deviations in all intents. As a target deviation,
A demand supply matching method, comprising: an allocation control step of controlling allocation of a supplier to the work so as to reduce the obtained target deviation and outputting information indicating the allocation result.   The process of calculating the demand level of the requester and the supply level of the supplier is specified when the demand level is calculated by summing up the demands of the requester based on the information indicating the input request of the requester. The demand level resulting from a specific requester of the intent is the sum of the importance levels for all the intents requested by the requester, and the importance level for the specific intent is normalized. 2. The supply and demand matching method according to claim 1, wherein processing is performed.   3. The demand supply matching method according to claim 1, wherein the allocation control process preferentially performs the allocation control of the supplier for an intent having a large target deviation among the plurality of intents.   In the allocation control process, for each intent, the target deviation is integrated over a preset period in the past, and the priority is given to an intent having a large integrated value of the target deviation among the plurality of intents. 3. The demand supply matching method according to claim 1 or 2, wherein supplier allocation control is performed.   The allocation control process obtains the degree of time change of the target deviation for each intent, and preferentially selects the intent having a large degree of time change of the target deviation among the plurality of intents. 3. The supply and demand matching method according to claim 1, wherein the allocation control is performed.   The program which makes the said computer apparatus perform the process performed in each process which the demand supply matching method in any one of Claims 1 thru | or 5 comprises.

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