WO2022215107A1 - Spare machine management device, spare machine management method, and spare machine management program - Google Patents

Spare machine management device, spare machine management method, and spare machine management program Download PDF

Info

Publication number
WO2022215107A1
WO2022215107A1 PCT/JP2021/014454 JP2021014454W WO2022215107A1 WO 2022215107 A1 WO2022215107 A1 WO 2022215107A1 JP 2021014454 W JP2021014454 W JP 2021014454W WO 2022215107 A1 WO2022215107 A1 WO 2022215107A1
Authority
WO
WIPO (PCT)
Prior art keywords
spare
machines
machine management
management device
arrangement
Prior art date
Application number
PCT/JP2021/014454
Other languages
French (fr)
Japanese (ja)
Inventor
玲 佐藤
Original Assignee
日本電信電話株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 日本電信電話株式会社 filed Critical 日本電信電話株式会社
Priority to PCT/JP2021/014454 priority Critical patent/WO2022215107A1/en
Priority to JP2023512501A priority patent/JPWO2022215107A1/ja
Publication of WO2022215107A1 publication Critical patent/WO2022215107A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Definitions

  • the present invention relates to a backup machine management device, a backup machine management method, and a backup machine management program.
  • Communication carriers have maintenance and operation systems for maintenance and operation of equipment such as communication equipment.
  • the remote monitoring department detects a failure alarm and confirms in which area the failure occurred. Then, the remote monitoring department notifies the dispatch base of the fault repair team in the area where the building of the faulty device is located of the name of the building, the name of the device, the name of the parts to be replaced, etc., and instructs the repair of the faulty device. For example, when a device failure occurs in Hokkaido, the remote monitoring department instructs the repair team in Hokkaido. After that, the trouble repair team brings the spare machine to the building designated by the dispatch base, and replaces the package of the faulty equipment.
  • the local repair team stores a large number of spare machines at the dispatch base, they can respond immediately in the event of a facility failure, but since storing a large number of spare machines is economically wasteful, generally the minimum number of spare machines is used. operated. However, if the occurrence of equipment failures temporarily increases in a predetermined area, there will be a shortage of spare machines in that predetermined area, and the service degradation will be affected for a long time. Therefore, a technique for managing the location, quantity, etc. of spare machines is known (see Patent Document 1).
  • Patent Document 1 is merely a management technique for managing the location and quantity of spare machines, so if there is a temporary shortage of spare machines in a given area, the rearrangement of the spare machines must be determined manually. There must be. In addition, since there are spare machines that require several months for repair by the manufacturer, it is necessary to examine whether the service quality can be maintained each time a failure occurs in each area. There are a wide variety of devices that make up a network of a communication carrier, and it is difficult to manually manage whether or not spare devices are arranged so as to maintain service quality for all devices.
  • the present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of presenting a method of rearranging spare equipment (all or part of the equipment). be.
  • a spare machine management apparatus is a spare machine management apparatus that manages storage bases of a plurality of spare machines for facilities in various locations, in which the plurality of spare machines are arranged at each storage base.
  • the plurality of spare machines A calculation unit that calculates a rearrangement method, and a notification unit that notifies the rearrangement method of the plurality of spare units.
  • a spare machine management method is a spare machine management method for managing each storage base of a plurality of spare machines for facilities in various locations, wherein a spare machine management device stores a plurality of spare machines at each storage base.
  • a backup machine management program causes a computer to function as the backup machine management device.
  • FIG. 1 is a diagram showing a configuration example of a spare machine management system according to this embodiment.
  • FIG. 2 is a diagram showing an example of spare machine arrangement information and spare machine failure information.
  • FIG. 3 is a diagram showing an example of a processing flow of the spare machine management method.
  • FIG. 4 is a diagram showing a change example of spare machine information.
  • FIG. 5 is a diagram showing an arrangement example of each dispatch base and each dispatch target building.
  • FIG. 6A is a diagram showing spare machine rearrangement methods 1 and 2.
  • FIG. FIG. 6B is a diagram showing spare machine rearrangement methods 3 to 5.
  • FIG. FIG. 7 is a diagram illustrating an example of a transfer method of a spare machine.
  • FIG. 8 is a diagram showing a hardware configuration example of the spare machine management apparatus.
  • An object of the present invention is to provide a method of rearranging spare machines for equipment (backup machines for all or part of the equipment) to solve the above problems.
  • spare machines backup machines for all or part of the equipment
  • the purpose is to enable immediate decision making.
  • the present invention when a change occurs in the arrangement of a plurality of spare machines arranged at each storage base, the user influence degree for users who are affected by service deterioration in the event of equipment failure in each place, and the Based on the degree of impact on on-site operation related to equipment repair, a method for rearranging multiple spare machines is calculated and notified. This eliminates the need for manual consideration of the rearrangement of the spare machines, and makes it possible to automatically present the method of rearranging the spare machines of the facility.
  • the present invention integrates the degree of user impact (at least the number of users affected by equipment failure and the shortest travel time from the storage base to the facility building) among a plurality of relocation methods. Calculate the relocation method that minimizes the total value of the total value of the on-site operation impact (at least the shortest travel time from the storage base to the facility building). This reduces the risk of increased service interruption time and minimizes the impact of service degradation.
  • FIG. 1 is a diagram showing a configuration example of a spare machine management system 1 according to this embodiment.
  • the spare machine management system 1 is an information processing system having a function of recommending optimal rearrangement of spare machines.
  • the spare machine management system 1 includes, for example, a spare machine management device 10, a facility management DB 20, a building location information DB 30, and a map information DB 40.
  • the spare machine management device 10 is a device that manages each storage base of a plurality of spare machines for facilities in various places, calculates a rearrangement method and a transfer method of the plurality of spare machines, and presents them to the manager or the failure repair team. is.
  • the spare machine management device 10 is connected to the facility management DB 20, the building position information DB 30, and the map information DB 40 so as to be able to communicate with each other.
  • the facility management DB 20 is a DB that manages facility information related to facilities such as communication devices.
  • the building location information DB 30 is a DB that manages location information related to the location of buildings where facilities are installed.
  • the map information DB 40 is a DB that manages map information related to maps.
  • the spare machine management device 10 includes, for example, a spare machine management DB 11, a change confirmation section 12, an optimal placement calculation engine 13, and an optimal placement notification section 14, as shown in FIG.
  • the spare machine management DB 11 is a DB that stores and manages spare machine arrangement information in which a plurality of spare machines are arranged at each storage base (the dispatch base for the failure repair team).
  • FIG. 2A is a diagram showing an example of spare machine arrangement information.
  • the spare machine arrangement information stores, for example, the package name of the spare machine, the unique information of the package, and the storage base (dispatch base) of the spare machine in association with each other.
  • the spare machine management DB 11 is a DB that stores and manages spare machine failure information regarding the failure of the spare machine.
  • FIG. 2B is a diagram showing an example of spare machine failure information.
  • the spare machine failure information stores, for example, the name of the package of the spare machine, the failure rate of the package, and the return period from the manufacturer in association with each other.
  • the change confirmation unit 12 refers to the spare machine placement information in the spare machine management DB 11 and the facility information in the facility management DB 20, and determines whether or not there has been a change in the arrangement of a plurality of spare machines arranged at each storage base. It is a determination unit that determines whether or not.
  • the optimal placement calculation engine 13 is a calculation engine that calculates the optimal rearrangement of the spare aircraft, and includes a placement method calculation unit 131 and a transfer method calculation unit 132 .
  • the placement method calculation unit 131 calculates the user impact level for users who will be affected by service deterioration in the event of equipment failure in various locations and the on-site operation impact level for repairs of equipment in various locations when there is a change in the allocation status of spare equipment. , and calculates the optimum rearrangement method for the plurality of spare machines.
  • the user impact level is an integrated value obtained by integrating at least the number of users affected by equipment failure and the shortest travel time from the storage base (dispatch base) to the equipment building (building).
  • the on-site operation impact is at least the shortest travel time from the storage base (dispatch base) to the facility building (building).
  • the arrangement method calculation unit 131 calculates, from among a plurality of rearrangement methods, the rearrangement method that minimizes the total value of the user influence degree and the on-site operation influence degree as the optimum rearrangement method.
  • the transfer method calculation unit 132 is a calculation unit that calculates a transfer method for spare machines between storage bases (between dispatch bases) based on the optimum rearrangement method for a plurality of spare machines calculated by the allocation method calculation unit 131. .
  • the optimal placement notification unit 14 is a notification unit that notifies the administrator and the repair team of the optimal relocation method and transfer method for the spare machines calculated by the optimal placement calculation engine 13 .
  • FIG. 3 is a diagram showing an example of a processing flow of the spare machine management method.
  • the backup machine management method is executed by the backup machine management device 10 .
  • Step S1 First, the change confirmation unit 12 periodically or irregularly refers to the spare machine arrangement information in the spare machine management DB 11 and the facility information in the facility management DB 20, and determines whether or not a change has occurred in the arrangement of spare machines. do. Then, when a change has occurred in the placement status of the spare machines, the change confirmation unit 12 notifies the optimum placement calculation engine 13 of change information indicating that the change has occurred, and proceeds to step S2. If there is no change, the change confirmation unit 12 terminates the processing flow.
  • the change confirmation unit 12 can relocate the spare machines to When the arrangement is changed, it is determined that a change has occurred in the arrangement state of the spare machine.
  • the change confirmation unit 12 grasps the allocation status of the spare machines from the spare machine arrangement information, and confirms that there has been a change in the arrangement status of the spare machines and the number of spare machines.
  • the optimal placement calculation engine 13 is notified of this fact.
  • the administrator of the spare machine management system 1 changes (registers, updates, updates, etc.) the facility information in the facility management DB 20 change of accommodated users).
  • the number of facilities increases or decreases, and the arrangement of spare equipment may change accordingly. , notifies the optimal placement calculation engine 13 that there has been a change in the placement status of the spare machines.
  • n be the total number of dispatch bases that store spare machines.
  • the total number of spare machines be m. Both n and m are natural numbers.
  • n H m n+m ⁇ 1 C m ) selection methods (rearrangement methods of the spare aircraft).
  • the placement method calculation unit 131 calculates Equation (1) for all of the n H m selection methods.
  • Variable A is a user impact value for users who are affected by service degradation in the event of equipment failures in various locations.
  • ⁇ is a weighting factor of the impact of service degradation on users, and can be arbitrarily defined.
  • N is the total number of buildings in which the facility is installed.
  • FU is a weighting factor associated with the number of injuries due to equipment failure.
  • the number of failures is, for example, the number of users (the number of contracted lines) affected by equipment failure.
  • FU can be defined based on the failure rate of the spare machine, the return period, and the like.
  • Dx is the number of facilities housed in the xth building.
  • Tmin(x) is the shortest travel time (minutes) for moving from the selected m-th dispatch base to the x-th building when m is changed from 1 to N and calculated. In other words, let Tmin(x) be the shortest time to reach the x-th building among a plurality of dispatch bases.
  • Variable B is the on-site operation impact value for repairs of equipment in each region.
  • ⁇ is a weighting factor for on-site operation and can be defined arbitrarily.
  • N is the total number of buildings in which the facility is installed.
  • W is the operating unit.
  • Tmin(x) is the shortest travel time (minutes) for moving from the selected m-th dispatch base to the x-th building when m is changed from 1 to N and calculated. In other words, let Tmin(x) be the shortest time to reach the x-th building among a plurality of dispatch bases.
  • the placement method calculation unit 131 obtains “selection of m bases” with the “minimum” value of S from n H m selection methods.
  • the "selection of m number of bases” is the optimum arrangement method for allocating m number of spare machines to n number of dispatch bases.
  • FIG. 5 is a diagram showing an example arrangement of each dispatch base P and each dispatch target building B.
  • FIG. Area 1 has one dispatch base P1 and four buildings B11 to B14. The building B13 has a large number of injuries, and the other buildings B11, B12, and B14 have a small number of injuries.
  • Area 2 has one dispatch base P2 and three buildings B21 to B23. The number of victims of each building B21 to B23 is small.
  • Area 3 has one dispatch base P3 and three buildings B31 to B33. The number of accidents in each building B31 to B33 is small.
  • Area 4 has one dispatch base P4 and four buildings B41 to B44. The building B43 has a large number of accidents, and the other buildings B41, B42, and B44 have a small number of accidents.
  • Area 5 has one dispatch base P5 and three buildings B51 to B53. The number of accidents in each building B51 to B53 is small. The distance and positional relationship between each dispatch base P and each building B is as shown in FIG.
  • the arrangement method calculation unit 131 calculates Equation (1) for each of the above five rearrangement methods 1 to 5. At this time, considering provision of a spare aircraft to each building in an area where no spare aircraft is arranged, in relocation method 1, building B51 in area 5 where no spare aircraft is arranged is provided from dispatch base P2 in adjacent area 2. On the other hand, buildings B52 and B53 are provided from dispatch base P4 in adjacent area 4. FIG.
  • buildings B41 and B42 in area 4 where spare equipment is not deployed are provided from dispatch base P1 in adjacent area 1
  • building B43 is provided from dispatch base P2 in adjacent area 2
  • B44 is provided from dispatch base P5 in adjacent area 5.
  • FIG. Arrangement methods 3 to 5 are omitted.
  • the placement method calculation unit 131 calculates, for example, the number of affected users (FU), such as the number of users affected by equipment failure, and the number of people accommodated in the building.
  • the rearrangement method that minimizes the integrated value of the number of facilities (Dx) and the shortest travel time to each building (Tmin(x)) is determined as the optimum rearrangement method.
  • the arrangement method calculation unit 131 determines the rearrangement method 1 as the optimum rearrangement method. Note that the above calculation method can also be applied to a case where it is better to allocate a plurality of spare machines to one dispatch base.
  • Step S3 Next, in the optimal placement calculation engine 13, the transfer method calculation unit 132 transfers the spare aircraft between the dispatch bases so that the spare aircraft are relocated according to the optimum relocation method determined by the placement method calculation unit 131. Determine the method (see Figure 7). For example, the transfer method calculation unit 132 transfers the spare aircraft from the dispatch base that is closest in terms of distance and time to the dispatch base where the spare aircraft should be relocated.
  • Step S4 the transfer method calculation unit 132 compares the optimum rearrangement method of the spare aircraft determined in step S2 with the current arrangement of the spare aircraft stored in the spare aircraft arrangement information of the spare aircraft management DB 11. , and if they are different from each other, the optimum arrangement notification unit 14 is notified of the optimum arrangement change information regarding the determined spare machine rearrangement method and transfer method. If they are the same, the transfer method calculation unit 132 does not notify the optimal placement notification unit 14 of anything.
  • Step S5 Finally, the optimal placement notification unit 14 outputs and displays the spare machine rearrangement method and the transfer method included in the optimal placement change information on the information processing terminal of the manager, the operator such as the repair team, and arranges the spare machines. Recommendations such as building changes and new purchases are presented.
  • the weight ( ⁇ ) of the impact of service deterioration on users the number of users affected by equipment failure (FU), and the number of users accommodated in the building
  • User influence value (A) obtained by multiplying the number of facilities (Dx) and the shortest travel time (Tmin(x)) from the dispatch base to the facility building, and the weight of on-site operation ( ⁇ ) , the operating unit fee (W), the shortest travel time (Tmin(x)) to move from the dispatch base to the facility building, and the on-site operation influence value (B), which is the sum total value ( Calculate the rearrangement method that minimizes A+B).
  • the system can propose the optimal placement until the machines are returned from the manufacturer in almost real time. It is possible to minimize the risk of an increase in service interruption time.
  • the existing spare machines can still be used. It is possible to calculate the storage base that minimizes the service impact in the event of a failure based on the number of aircraft, and to easily derive the optimal placement of spare aircraft.
  • the standby machine management apparatus 10 of the present embodiment described above includes a CPU 901, a memory 902, a storage 903, a communication device 904, an input device 905, and an output device 906. It can be realized using a general-purpose computer system equipped with. Memory 902 and storage 903 are storage devices. In the computer system, each function of the spare machine management device 10 is realized by the CPU 901 executing a predetermined program loaded on the memory 902 .
  • the spare machine management device 10 may be implemented by one computer.
  • the spare machine management device 10 may be implemented by a plurality of computers.
  • the standby machine management device 10 may be a virtual machine implemented on a computer.
  • a program for the spare machine management device 10 can be stored in computer-readable recording media such as HDD, SSD, USB memory, CD, and DVD.
  • the program for the spare machine management device 10 can also be distributed via a communication network.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Human Resources & Organizations (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A spare machine management device 10 that manages each storage site for a plurality of spare machines for facilities at various locations is provided with: an allocation method calculation unit 131 which, when a change occurs in the allocation status of a plurality of spare machines allocated to each storage site, calculates a method for reallocating the plurality of spare machines, on the basis of a user impact level regarding users affected by service degradation in the event of failure of facilities at each location and an on-site operation impact level regarding repairs of facilities at each location; and an optimum allocation notification unit 14 which notifies of the method for reallocating the plurality of spare machines.

Description

予備機管理装置、予備機管理方法、及び、予備機管理プログラムBackup machine management device, backup machine management method, and backup machine management program
　本発明は、予備機管理装置、予備機管理方法、及び、予備機管理プログラムに関する。 The present invention relates to a backup machine management device, a backup machine management method, and a backup machine management program.
　通信キャリアでは、通信装置等の設備を保守運用する保守運用体制が整備されている。 Communication carriers have maintenance and operation systems for maintenance and operation of equipment such as communication equipment.
　例えば、遠隔監視部門は、ネットワークを構成する装置に故障が発生すると、故障アラームを検知し、どのエリアの装置故障であるかを確認する。そして、遠隔監視部門は、故障装置のビルが位置するエリアの故障修理班の出動拠点にビル名、装置名、交換部材名等を連絡し、故障装置の修理を指示する。例えば、遠隔監視部門は、北海道で装置故障が発生した場合、北海道の故障修理班に指示する。その後、故障修理班は、出動拠点から指示されたビルへ予備機を持参し、故障装置のパッケージ等を交換する。 For example, when a failure occurs in a device that makes up the network, the remote monitoring department detects a failure alarm and confirms in which area the failure occurred. Then, the remote monitoring department notifies the dispatch base of the fault repair team in the area where the building of the faulty device is located of the name of the building, the name of the device, the name of the parts to be replaced, etc., and instructs the repair of the faulty device. For example, when a device failure occurs in Hokkaido, the remote monitoring department instructs the repair team in Hokkaido. After that, the trouble repair team brings the spare machine to the building designated by the dispatch base, and replaces the package of the faulty equipment.
　現地の故障修理班が出動拠点に設備の予備機を大量に保管していれば設備故障時に即応できるが、予備機の大量保管は経済的に無駄が多いため、一般には最低数の予備機で運用される。しかし、設備故障の発生が所定エリアで一時的に多くなると、当該所定エリアにおいて予備機が不足し、サービス低下の影響を長時間化させてしまう。そこで、予備機の所在、数量等を管理する技術が知られている（特許文献１参照）。 If the local repair team stores a large number of spare machines at the dispatch base, they can respond immediately in the event of a facility failure, but since storing a large number of spare machines is economically wasteful, generally the minimum number of spare machines is used. operated. However, if the occurrence of equipment failures temporarily increases in a predetermined area, there will be a shortage of spare machines in that predetermined area, and the service degradation will be affected for a long time. Therefore, a technique for managing the location, quantity, etc. of spare machines is known (see Patent Document 1).
特開平０７－２４９０７０号公報JP-A-07-249070
　しかしながら、特許文献１の技術は、予備機の所在、数量等を管理する単なる管理技術にすぎないため、所定エリアで予備機が一時的に不足した場合、予備機の再配置を人手で決定しなければならない。また、製造元による修理に数か月程度要する予備機もあるため、各エリアで故障が発生する度にサービス品質を維持できるかを検討しなければならない。通信キャリアのネットワークを構成する装置は多種多様であり、全ての装置についてサービス品質を維持できる予備機の配置状況になっているかを人手で管理するのは困難である。 However, the technique of Patent Document 1 is merely a management technique for managing the location and quantity of spare machines, so if there is a temporary shortage of spare machines in a given area, the rearrangement of the spare machines must be determined manually. There must be. In addition, since there are spare machines that require several months for repair by the manufacturer, it is necessary to examine whether the service quality can be maintained each time a failure occurs in each area. There are a wide variety of devices that make up a network of a communication carrier, and it is difficult to manually manage whether or not spare devices are arranged so as to maintain service quality for all devices.
　本発明は、上記事情に鑑みてなされたものであり、本発明の目的は、設備の予備機（設備の全部又は一部の予備機）の再配置方法を提示可能な技術を提供することである。 The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a technique capable of presenting a method of rearranging spare equipment (all or part of the equipment). be.
　本発明の一態様の予備機管理装置は、各地の設備に向けた複数の予備機の各保管拠点を管理する予備機管理装置において、複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、前記複数の予備機の再配置方法を計算する計算部と、前記複数の予備機の再配置方法を通知する通知部と、を備える。 A spare machine management apparatus according to one aspect of the present invention is a spare machine management apparatus that manages storage bases of a plurality of spare machines for facilities in various locations, in which the plurality of spare machines are arranged at each storage base. When there is a change in the situation, based on the user impact level for users affected by service deterioration in the event of equipment failure in each location and the on-site operation impact level for repair of equipment in each location, the plurality of spare machines A calculation unit that calculates a rearrangement method, and a notification unit that notifies the rearrangement method of the plurality of spare units.
　本発明の一態様の予備機管理方法は、各地の設備に向けた複数の予備機の各保管拠点を管理する予備機管理方法において、予備機管理装置が、複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、前記複数の予備機の再配置方法を計算するステップと、前記複数の予備機の再配置方法を通知するステップと、を行う。 A spare machine management method according to one aspect of the present invention is a spare machine management method for managing each storage base of a plurality of spare machines for facilities in various locations, wherein a spare machine management device stores a plurality of spare machines at each storage base. When there is a change in the arrangement of spare units, based on the user impact level for users affected by service deterioration in the event of equipment failure in each region and the on-site operation impact level for repairs of equipment in each region, A step of calculating a rearrangement method of the plurality of spare machines and a step of notifying the rearrangement method of the plurality of spare machines are performed.
　本発明の一態様の予備機管理プログラムは、上記予備機管理装置としてコンピュータを機能させる。 A backup machine management program according to one aspect of the present invention causes a computer to function as the backup machine management device.
　本発明によれば、設備の予備機（設備の全部又は一部の予備機）の再配置方法を提示可能な技術を提供できる。 According to the present invention, it is possible to provide a technology capable of presenting a method of rearranging spare equipment (all or part of the equipment).
図１は、本実施形態に係る予備機管理システムの構成例を示す図である。FIG. 1 is a diagram showing a configuration example of a spare machine management system according to this embodiment. 図２は、予備機配置情報と予備機故障情報の例を示す図である。FIG. 2 is a diagram showing an example of spare machine arrangement information and spare machine failure information. 図３は、予備機管理方法の処理フロー例を示す図である。FIG. 3 is a diagram showing an example of a processing flow of the spare machine management method. 図４は、予備機情報の変更例を示す図である。FIG. 4 is a diagram showing a change example of spare machine information. 図５は、各出動拠点と各出動対象ビルとの配置例を示す図である。FIG. 5 is a diagram showing an arrangement example of each dispatch base and each dispatch target building. 図６Ａは、予備機の再配置方法１、２を示す図である。FIG. 6A is a diagram showing spare machine rearrangement methods 1 and 2. FIG. 図６Ｂは、予備機の再配置方法３～５を示す図である。FIG. 6B is a diagram showing spare machine rearrangement methods 3 to 5. FIG. 図７は、予備機の移管方法の例を示す図である。FIG. 7 is a diagram illustrating an example of a transfer method of a spare machine. 図８は、予備機管理装置のハードウェア構成例を示す図である。FIG. 8 is a diagram showing a hardware configuration example of the spare machine management apparatus.
　以下、図面を参照して、本発明の実施形態を説明する。図面の記載において同一部分には同一符号を付し説明を省略する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the description of the drawings, the same parts are denoted by the same reference numerals, and the description thereof is omitted.
　［発明の概要］
　本発明は、上記課題に対し、設備の予備機（設備の全部又は一部の予備機）の再配置方法を提示することを目的とする。特に、経済的な予備機の配置を実現しつつも、設備の故障数の片寄りによって一時的に予備機が足らないエリアが出たとしても、サービス低下の影響を最小限で対応できるように即時に判断できるようにすることを目的とする。 [Summary of Invention]
SUMMARY OF THE INVENTION An object of the present invention is to provide a method of rearranging spare machines for equipment (backup machines for all or part of the equipment) to solve the above problems. In particular, even if there is a temporary shortage of spare machines in an area due to the uneven number of equipment failures, even if the allocation of spare machines is economical, the impact of service deterioration can be minimized. The purpose is to enable immediate decision making.
　そこで、本発明は、複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、複数の予備機の再配置方法を計算して通知する。これにより、人手による予備機の再配置の検討が不要となり、自動で設備の予備機の再配置方法を提示可能となる。 Therefore, in the present invention, when a change occurs in the arrangement of a plurality of spare machines arranged at each storage base, the user influence degree for users who are affected by service deterioration in the event of equipment failure in each place, and the Based on the degree of impact on on-site operation related to equipment repair, a method for rearranging multiple spare machines is calculated and notified. This eliminates the need for manual consideration of the rearrangement of the spare machines, and makes it possible to automatically present the method of rearranging the spare machines of the facility.
　また、本発明は、複数の再配置方法の中から、ユーザ影響度（少なくとも、設備の故障時に影響を受けるユーザの数と、保管拠点から設備の建物へ移動する最短の移動時間と、を積算した積算値）と、オンサイト稼働影響度（少なくとも、保管拠点から設備の建物へ移動する最短の移動時間）と、を合計した合計値が最小となる再配置方法を計算する。これにより、サービス中断時間の増加リスクを抑え、サービス低下の影響を最小限で対応可能となる。 In addition, the present invention integrates the degree of user impact (at least the number of users affected by equipment failure and the shortest travel time from the storage base to the facility building) among a plurality of relocation methods. Calculate the relocation method that minimizes the total value of the total value of the on-site operation impact (at least the shortest travel time from the storage base to the facility building). This reduces the risk of increased service interruption time and minimizes the impact of service degradation.
　［予備機管理システムの構成例］
　図１は、本実施形態に係る予備機管理システム１の構成例を示す図である。当該予備機管理システム１は、予備機の最適な再配置の推奨機能を備えた情報処理システムである。当該予備機管理システム１は、例えば、予備機管理装置１０と、設備管理ＤＢ２０と、ビル位置情報ＤＢ３０と、地図情報ＤＢ４０と、を備える。 [Configuration example of spare machine management system]
FIG. 1 is a diagram showing a configuration example of a spare machine management system 1 according to this embodiment. The spare machine management system 1 is an information processing system having a function of recommending optimal rearrangement of spare machines. The spare machine management system 1 includes, for example, a spare machine management device 10, a facility management DB 20, a building location information DB 30, and a map information DB 40.
　予備機管理装置１０は、各地の設備に向けた複数の予備機の各保管拠点を管理し、複数の予備機の再配置方法及び移管方法を計算して管理者又は故障修理班へ提示する装置である。当該予備機管理装置１０は、設備管理ＤＢ２０、ビル位置情報ＤＢ３０、地図情報ＤＢ４０に相互通信可能に接続されている。 The spare machine management device 10 is a device that manages each storage base of a plurality of spare machines for facilities in various places, calculates a rearrangement method and a transfer method of the plurality of spare machines, and presents them to the manager or the failure repair team. is. The spare machine management device 10 is connected to the facility management DB 20, the building position information DB 30, and the map information DB 40 so as to be able to communicate with each other.
　設備管理ＤＢ２０は、通信装置等の設備に関する設備情報を管理するＤＢである。 The facility management DB 20 is a DB that manages facility information related to facilities such as communication devices.
　ビル位置情報ＤＢ３０は、設備が設置されているビル（建物）の位置に関する位置情報を管理するＤＢである。 The building location information DB 30 is a DB that manages location information related to the location of buildings where facilities are installed.
　地図情報ＤＢ４０は、地図に関する地図情報を管理するＤＢである。 The map information DB 40 is a DB that manages map information related to maps.
　［予備機管理装置の構成例］
　予備機管理装置１０は、図１に示すように、例えば、予備機管理ＤＢ１１と、変更確認部１２と、最適配置計算エンジン１３と、最適配置通知部１４と、を備える。 [Configuration example of spare machine management device]
The spare machine management device 10 includes, for example, a spare machine management DB 11, a change confirmation section 12, an optimal placement calculation engine 13, and an optimal placement notification section 14, as shown in FIG.
　予備機管理ＤＢ１１は、複数の予備機を各保管拠点（故障修理班の出動拠点）に配置した予備機配置情報を記憶管理するＤＢである。図２（ａ）は、予備機配置情報の例を示す図である。予備機配置情報には、例えば、予備機のパッケージ名と、パッケージの固有情報と、予備機の保管拠点（出動拠点）と、が関連付けて格納されている。 The spare machine management DB 11 is a DB that stores and manages spare machine arrangement information in which a plurality of spare machines are arranged at each storage base (the dispatch base for the failure repair team). FIG. 2A is a diagram showing an example of spare machine arrangement information. The spare machine arrangement information stores, for example, the package name of the spare machine, the unique information of the package, and the storage base (dispatch base) of the spare machine in association with each other.
　また、予備機管理ＤＢ１１は、予備機の故障に関する予備機故障情報を記憶管理するＤＢである。図２（ｂ）は、予備機故障情報の例を示す図である。予備機故障情報には、例えば、予備機のパッケージ名と、パッケージの故障率と、製造元からの返却期間と、が関連付けて格納されている。 In addition, the spare machine management DB 11 is a DB that stores and manages spare machine failure information regarding the failure of the spare machine. FIG. 2B is a diagram showing an example of spare machine failure information. The spare machine failure information stores, for example, the name of the package of the spare machine, the failure rate of the package, and the return period from the manufacturer in association with each other.
　変更確認部１２は、予備機管理ＤＢ１１の予備機配置情報と設備管理ＤＢ２０の設備情報とを参照し、複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生したか否かを判定する判定部である。 The change confirmation unit 12 refers to the spare machine placement information in the spare machine management DB 11 and the facility information in the facility management DB 20, and determines whether or not there has been a change in the arrangement of a plurality of spare machines arranged at each storage base. It is a determination unit that determines whether or not.
　最適配置計算エンジン１３は、予備機の最適な再配置を計算する計算エンジンであり、配置方法計算部１３１と、移管方法計算部１３２と、を備える。 The optimal placement calculation engine 13 is a calculation engine that calculates the optimal rearrangement of the spare aircraft, and includes a placement method calculation unit 131 and a transfer method calculation unit 132 .
　配置方法計算部１３１は、予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、複数の予備機の最適な再配置方法を計算する計算部である。 The placement method calculation unit 131 calculates the user impact level for users who will be affected by service deterioration in the event of equipment failure in various locations and the on-site operation impact level for repairs of equipment in various locations when there is a change in the allocation status of spare equipment. , and calculates the optimum rearrangement method for the plurality of spare machines.
　例えば、ユーザ影響度は、少なくとも、設備の故障時に影響を受けるユーザの数と、保管拠点（出動拠点）から設備のビル（建物）へ移動する最短の移動時間と、を積算した積算値である。オンサイト稼働影響度は、少なくとも、保管拠点（出動拠点）から設備のビル（建物）へ移動する最短の移動時間である。配置方法計算部１３１は、複数の再配置方法の中から、当該ユーザ影響度と当該オンサイト稼働影響度とを合計した合計値が最小となる再配置方法を最適な再配置方法として計算する。 For example, the user impact level is an integrated value obtained by integrating at least the number of users affected by equipment failure and the shortest travel time from the storage base (dispatch base) to the equipment building (building). . The on-site operation impact is at least the shortest travel time from the storage base (dispatch base) to the facility building (building). The arrangement method calculation unit 131 calculates, from among a plurality of rearrangement methods, the rearrangement method that minimizes the total value of the user influence degree and the on-site operation influence degree as the optimum rearrangement method.
　移管方法計算部１３２は、配置方法計算部１３１が計算した複数の予備機の最適な再配置方法に基づき、保管拠点間（出動拠点間）での予備機の移管方法を計算する計算部である。 The transfer method calculation unit 132 is a calculation unit that calculates a transfer method for spare machines between storage bases (between dispatch bases) based on the optimum rearrangement method for a plurality of spare machines calculated by the allocation method calculation unit 131. .
　最適配置通知部１４は、最適配置計算エンジン１３が計算した予備機の最適な再配置方法及び移管方法を管理者や故障修理班へ通知する通知部である。 The optimal placement notification unit 14 is a notification unit that notifies the administrator and the repair team of the optimal relocation method and transfer method for the spare machines calculated by the optimal placement calculation engine 13 .
　［予備機管理装置の動作例］
　図３は、予備機管理方法の処理フロー例を示す図である。当該予備機管理方法は、予備機管理装置１０で実行される。 [Example of operation of spare machine management device]
FIG. 3 is a diagram showing an example of a processing flow of the spare machine management method. The backup machine management method is executed by the backup machine management device 10 .
　ステップＳ１；
　まず、変更確認部１２は、予備機管理ＤＢ１１の予備機配置情報と設備管理ＤＢ２０の設備情報とを定期的又は不定期に参照し、予備機の配置状況に変更が発生したか否かを判定する。そして、変更確認部１２は、予備機の配置状況に変更が発生した場合には、当該変更があったことを示す変更情報を最適配置計算エンジン１３へ通知してステップＳ２へ進む。変更がない場合には、変更確認部１２は、処理フローを終了する。 Step S1;
First, the change confirmation unit 12 periodically or irregularly refers to the spare machine arrangement information in the spare machine management DB 11 and the facility information in the facility management DB 20, and determines whether or not a change has occurred in the arrangement of spare machines. do. Then, when a change has occurred in the placement status of the spare machines, the change confirmation unit 12 notifies the optimum placement calculation engine 13 of change information indicating that the change has occurred, and proceeds to step S2. If there is no change, the change confirmation unit 12 terminates the processing flow.
　例えば、変更確認部１２は、出動拠点の１か所でも予備機がゼロになった場合等、予備機の使用又は修理により予備機の総数が変化した場合、予備機の再配置により予備機の配置が変更した場合に、予備機の配置状況に変更が発生したと判定する。 For example, if the total number of spare machines changes due to the use or repair of spare machines, such as when there are no spare machines at even one of the dispatch bases, the change confirmation unit 12 can relocate the spare machines to When the arrangement is changed, it is determined that a change has occurred in the arrangement state of the spare machine.
　具体的には、出動拠点の現地で予備機を修理する場合、製造元による修理から予備機の返却があった場合には、予備機管理システム１の管理者や出動拠点の故障修理班は、予備機管理ＤＢ１１の予備機配置情報を変更（登録・更新）する（図４参照）。これにより、予備機の配置状況に変更が発生するので、変更確認部１２は、予備機配置情報から予備機の配置状況を把握し、予備機の配置状況や予備機の数に変更があったことを最適配置計算エンジン１３へ通知する。 Specifically, when a spare machine is to be repaired on-site at the dispatch base, if the spare machine is returned from repair by the manufacturer, the administrator of the spare machine management system 1 and the repair team at the dispatch base Change (register/update) spare machine arrangement information in the machine management DB 11 (see FIG. 4). As a result, a change occurs in the allocation status of the spare machines, so the change confirmation unit 12 grasps the allocation status of the spare machines from the spare machine arrangement information, and confirms that there has been a change in the arrangement status of the spare machines and the number of spare machines. The optimal placement calculation engine 13 is notified of this fact.
　具体的には、設備を増設又は減設する場合、サービスオーダの追加又は変更があった場合には、予備機管理システム１の管理者は、設備管理ＤＢ２０の設備情報を変更（登録・更新・収容ユーザの変更）する。これにより、設備の数が増減し、それに伴い予備機の配置状況に変更が発生することがあるので、変更確認部１２は、設備管理ＤＢ２０から故障時のサービス低下の影響に関する各種情報を取得し、予備機の配置状況に変更があったことを最適配置計算エンジン１３へ通知する。 Specifically, when facilities are added or reduced, and when service orders are added or changed, the administrator of the spare machine management system 1 changes (registers, updates, updates, etc.) the facility information in the facility management DB 20 change of accommodated users). As a result, the number of facilities increases or decreases, and the arrangement of spare equipment may change accordingly. , notifies the optimal placement calculation engine 13 that there has been a change in the placement status of the spare machines.
　ステップＳ２；
　次に、最適配置計算エンジン１３において、配置方法計算部１３１は、予備機管理ＤＢ１１の予備機配置情報から、現時点における予備機の総数、出動拠点の総数等を取得する。また、配置方法計算部１３１は、予備機管理ＤＢ１１の予備機故障情報から、最近の予備機の故障率、返却期間等を取得する。また、配置方法計算部１３１は、ビル位置情報ＤＢ３０から設備が設置されているビルの位置情報を取得する。また、配置方法計算部１３１は、地図情報ＤＢ４０の地図情報を用いて各出動拠点から各ビルまでの移動時間をそれぞれ算出する。その後、配置方法計算部１３１は、それら取得・算出した各種情報を用いて、現在各出動拠点に配置されている各予備機について、出動拠点間での予備機の最適な再配置方法を計算する。 Step S2;
Next, in the optimal placement calculation engine 13 , the placement method calculation unit 131 acquires the current total number of spare machines, the total number of dispatch bases, and the like from the spare machine placement information in the spare machine management DB 11 . Further, the arrangement method calculation unit 131 acquires the recent failure rate of the spare machine, the return period, etc. from the spare machine failure information of the spare machine management DB 11 . Also, the arrangement method calculation unit 131 acquires the position information of the building in which the equipment is installed from the building position information DB 30 . Also, the arrangement method calculation unit 131 calculates the travel time from each dispatch base to each building using the map information of the map information DB 40 . After that, the placement method calculation unit 131 uses the acquired/calculated various information to calculate the optimal rearrangement method of the spare units between the dispatch bases for each spare unit currently deployed at each dispatch base. .
　予備機の最適な再配置方法の計算例を説明する。 　Explain an example of calculating the optimum relocation method for the spare aircraft.
　予備機を保管する出動拠点の総数をｎ個とする。予備機の総数をｍ個とする。ｎ、ｍは、いずれも自然数である。このとき、ｎ個の出動拠点に対してｍ個の予備機を配置する場合、数学的にはｎ個の要素からｍ個を選択する組み合せを検討すればよいので、ｎＨｍ（＝ｎ＋ｍ－１Ｃｍ）通りの選択方法（予備機の再配置方法）があることになる。 Let n be the total number of dispatch bases that store spare machines. Let the total number of spare machines be m. Both n and m are natural numbers. At this time, when arranging m standby units for n dispatch bases, it is mathematically possible to consider a combination of selecting m elements from n elements, so n H m (= n+m− 1 C m ) selection methods (rearrangement methods of the spare aircraft).
　そこで、配置方法計算部１３１は、上記ｎＨｍ通りの全ての選択方法について、式（１）を計算する。 Therefore, the placement method calculation unit 131 calculates Equation (1) for all of the n H m selection methods.
　Ｓ＝Ａ＋Ｂ　・・・（１）
　但し、Ａ＝α・Σｘ＝１～Ｎ｛ＦＵ・Ｄｘ・Ｔｍｉｎ（ｘ）｝であり、
　また、Ｂ＝β・Σｘ＝１～Ｎ｛Ｗ・Ｔｍｉｎ（ｘ）｝である。 S=A+B (1)
However, A = α Σ x = 1 ~ N {FU Dx Tmin (x)},
Also, B=β·Σ x=1 to N {W·Tmin(x)}.
　変数Ａは、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響値である。αは、ユーザに対するサービス低下の影響の重み係数であり、任意に定義可能である。Ｎは、設備が設置されているビルの総数である。ＦＵは、設備の故障による罹障数に伴う重み係数である。罹障数とは、例えば、設備の故障時に影響を受けるユーザの数（契約回線数）である。例えば、ＦＵは、予備機の故障率、返却期間等を基に定義可能である。Ｄｘは、ｘ番目のビルに収容されている設備の数である。Ｔｍｉｎ（ｘ）は、選択したｍ番目の出動拠点からｘ番目のビルへ移動する移動時間（分）について、ｍを１からＮまで変更して計算した時の最短の移動時間である。つまり、複数ある出動拠点の中からｘ番目のビルへ到達するための最短時間をＴｍｉｎ（ｘ）とする。 　Variable A is a user impact value for users who are affected by service degradation in the event of equipment failures in various locations. α is a weighting factor of the impact of service degradation on users, and can be arbitrarily defined. N is the total number of buildings in which the facility is installed. FU is a weighting factor associated with the number of injuries due to equipment failure. The number of failures is, for example, the number of users (the number of contracted lines) affected by equipment failure. For example, FU can be defined based on the failure rate of the spare machine, the return period, and the like. Dx is the number of facilities housed in the xth building. Tmin(x) is the shortest travel time (minutes) for moving from the selected m-th dispatch base to the x-th building when m is changed from 1 to N and calculated. In other words, let Tmin(x) be the shortest time to reach the x-th building among a plurality of dispatch bases.
　変数Ｂは、各地の設備の修理に関するオンサイト稼働影響値である。βは、オンサイト稼働の重み係数であり、任意に定義可能である。Ｎは、設備が設置されているビルの総数である。Ｗは、稼働単金である。Ｔｍｉｎ（ｘ）は、選択したｍ番目の出動拠点からｘ番目のビルへ移動する移動時間（分）について、ｍを１からＮまで変更して計算した時の最短の移動時間である。つまり、複数ある出動拠点の中からｘ番目のビルへ到達するための最短時間をＴｍｉｎ（ｘ）とする。 　Variable B is the on-site operation impact value for repairs of equipment in each region. β is a weighting factor for on-site operation and can be defined arbitrarily. N is the total number of buildings in which the facility is installed. W is the operating unit. Tmin(x) is the shortest travel time (minutes) for moving from the selected m-th dispatch base to the x-th building when m is changed from 1 to N and calculated. In other words, let Tmin(x) be the shortest time to reach the x-th building among a plurality of dispatch bases.
　その後、配置方法計算部１３１は、ｎＨｍ通りの選択方法の中から、Ｓの値が「最小」となる「ｍ個の拠点の選択」を求める。当該「ｍ個の拠点の選択」が、ｎ個の出動拠点に対してｍ個の予備機を配置する最適な配置方法となる。 After that, the placement method calculation unit 131 obtains “selection of m bases” with the “minimum” value of S from n H m selection methods. The "selection of m number of bases" is the optimum arrangement method for allocating m number of spare machines to n number of dispatch bases.
　上記計算例の具体例を説明する。 A specific example of the above calculation example will be explained.
　図５は、各出動拠点Ｐと各出動対象ビルＢとの配置例を示す図である。エリア１には、１つの出動拠点Ｐ１と４つのビルＢ１１～Ｂ１４がある。ビルＢ１３の罹障数は大きく、他のビルＢ１１、Ｂ１２、Ｂ１４の罹障数は小さい。エリア２には、１つの出動拠点Ｐ２と３つのビルＢ２１～Ｂ２３がある。各ビルＢ２１～Ｂ２３の罹障数は小さい。エリア３には、１つの出動拠点Ｐ３と３つのビルＢ３１～Ｂ３３がある。各ビルＢ３１～Ｂ３３の罹障数は小さい。エリア４には、１つの出動拠点Ｐ４と４つのビルＢ４１～Ｂ４４がある。ビルＢ４３の罹障数は大きく、他のビルＢ４１、Ｂ４２、Ｂ４４の罹障数は小さい。エリア５には、１つの出動拠点Ｐ５と３つのビルＢ５１～Ｂ５３がある。各ビルＢ５１～Ｂ５３の罹障数は小さい。各出動拠点Ｐと各ビルＢとの距離・位置関係は、図５に示す通りとする。 FIG. 5 is a diagram showing an example arrangement of each dispatch base P and each dispatch target building B. FIG. Area 1 has one dispatch base P1 and four buildings B11 to B14. The building B13 has a large number of injuries, and the other buildings B11, B12, and B14 have a small number of injuries. Area 2 has one dispatch base P2 and three buildings B21 to B23. The number of victims of each building B21 to B23 is small. Area 3 has one dispatch base P3 and three buildings B31 to B33. The number of accidents in each building B31 to B33 is small. Area 4 has one dispatch base P4 and four buildings B41 to B44. The building B43 has a large number of accidents, and the other buildings B41, B42, and B44 have a small number of accidents. Area 5 has one dispatch base P5 and three buildings B51 to B53. The number of accidents in each building B51 to B53 is small. The distance and positional relationship between each dispatch base P and each building B is as shown in FIG.
　上記５つの出動拠点Ｐ１～Ｐ５に対し、予備機が一時的に４つしかない場合を考える。この場合、５つの出動拠点Ｐ１～Ｐ５に対して再配置可能な４つの予備機の再配置方法としては、図６Ａ及び図６Ｂに示すように、出動拠点Ｐ１～Ｐ４に再配置する再配置方法１、出動拠点Ｐ１～Ｐ３、Ｐ５に再配置する再配置方法２、出動拠点Ｐ１、Ｐ２、Ｐ４、Ｐ５に再配置する再配置方法３、出動拠点Ｐ２～Ｐ５に再配置する再配置方法４、出動拠点Ｐ１、Ｐ３～Ｐ５に再配置する再配置方法５が考えられる。 Consider the case where there are temporarily only four spare units for the above five dispatch bases P1 to P5. In this case, as shown in FIGS. 6A and 6B, as a rearrangement method of the four spare aircraft that can be rearranged to the five dispatch bases P1 to P5, there is a rearrangement method of rearranging to the dispatch bases P1 to P4. 1, relocation method 2 to relocate to dispatch bases P1 to P3, P5, relocation method 3 to relocate to dispatch bases P1, P2, P4, P5, relocation method 4 to relocate to dispatch bases P2 to P5, A relocation method 5 of relocating to the dispatch bases P1, P3 to P5 is conceivable.
　そこで、配置方法計算部１３１は、上記５つの再配置方法１～５について、式（１）をそれぞれ計算する。このとき、予備機が配置されないエリア内の各ビルに対する予備機の提供を考えると、再配置方法１では、予備機非配置エリア５のビルＢ５１に対しては隣接エリア２の出動拠点Ｐ２から提供し、ビルＢ５２、Ｂ５３に対しては隣接エリア４の出動拠点Ｐ４から提供することになる。 Therefore, the arrangement method calculation unit 131 calculates Equation (1) for each of the above five rearrangement methods 1 to 5. At this time, considering provision of a spare aircraft to each building in an area where no spare aircraft is arranged, in relocation method 1, building B51 in area 5 where no spare aircraft is arranged is provided from dispatch base P2 in adjacent area 2. On the other hand, buildings B52 and B53 are provided from dispatch base P4 in adjacent area 4. FIG.
　再配置方法２では、予備機非配置エリア４のビルＢ４１、Ｂ４２に対しては隣接エリア１の出動拠点Ｐ１から提供し、ビルＢ４３に対しては隣接エリア２の出動拠点Ｐ２から提供し、ビルＢ４４に対しては隣接エリア５の出動拠点Ｐ５から提供することになる。配置方法３～５については省略する。 In rearrangement method 2, buildings B41 and B42 in area 4 where spare equipment is not deployed are provided from dispatch base P1 in adjacent area 1, building B43 is provided from dispatch base P2 in adjacent area 2, and B44 is provided from dispatch base P5 in adjacent area 5. FIG. Arrangement methods 3 to 5 are omitted.
　ここで、再配置方法１と再配置方法２とを比較すると、配置方法２の場合、予備機非配置エリア４には罹障数の大きいビルＢ４３があり、当該ビルＢ４３への移動時間が大きい。一方、配置方法１では、予備機非配置エリア５に罹障数の大きいビルはなく、予備機非配置エリア５の各ビルＢ５１～Ｂ５３への移動時間は小さい。 Here, when rearrangement method 1 and rearrangement method 2 are compared, in the case of arrangement method 2, there is a building B43 with a large number of afflicted persons in the area 4 where spare aircraft are not arranged, and the travel time to the building B43 is long. . On the other hand, in arrangement method 1, there is no building with a large number of failures in the spare machine non-arrangement area 5, and the travel time to each building B51 to B53 in the spare machine non-arrangement area 5 is short.
　そこで、配置方法計算部１３１は、式（１）に示したように、例えばユーザ影響値については、設備の故障時に影響を受けるユーザ数等の罹障数（ＦＵ）と、ビルに収容されている設備数（Ｄｘ）と、各ビルへの最短の移動時間（Ｔｍｉｎ（ｘ））と、を積算した積算値が最小となる再配置方法を最適な再配置方法として決定する。上記具体例の場合、配置方法計算部１３１は、再配置方法１を最適な再配置方法として決定する。なお、１つの出動拠点に複数の予備機を配置した方がよい場合についても、上記計算方法を適用可能である。 Therefore, as shown in Equation (1), the placement method calculation unit 131 calculates, for example, the number of affected users (FU), such as the number of users affected by equipment failure, and the number of people accommodated in the building. The rearrangement method that minimizes the integrated value of the number of facilities (Dx) and the shortest travel time to each building (Tmin(x)) is determined as the optimum rearrangement method. In the case of the above specific example, the arrangement method calculation unit 131 determines the rearrangement method 1 as the optimum rearrangement method. Note that the above calculation method can also be applied to a case where it is better to allocate a plurality of spare machines to one dispatch base.
　ステップＳ３；
　次に、最適配置計算エンジン１３において、移管方法計算部１３２は、配置方法計算部１３１が決定した最適な再配置方法に予備機が再配置されるように、出動拠点間での予備機の移管方法を決定する（図７参照）。例えば、移管方法計算部１３２は、予備機を再配置するべき出動拠点から最も距離的・時間的に近い出動拠点から予備機を移管する。 Step S3;
Next, in the optimal placement calculation engine 13, the transfer method calculation unit 132 transfers the spare aircraft between the dispatch bases so that the spare aircraft are relocated according to the optimum relocation method determined by the placement method calculation unit 131. Determine the method (see Figure 7). For example, the transfer method calculation unit 132 transfers the spare aircraft from the dispatch base that is closest in terms of distance and time to the dispatch base where the spare aircraft should be relocated.
　ステップＳ４；
　次に、移管方法計算部１３２は、ステップＳ２で決定した予備機の最適な再配置方法を、予備機管理ＤＢ１１の予備機配置情報に格納されている現時点での予備機の配置状況と比較し、互いに異なる場合には、決定した予備機の再配置方法及び移管方法に関する最適配置変更情報を最適配置通知部１４に通知する。互いが同じ場合、移管方法計算部１３２は、最適配置通知部１４に何も通知しない。 Step S4;
Next, the transfer method calculation unit 132 compares the optimum rearrangement method of the spare aircraft determined in step S2 with the current arrangement of the spare aircraft stored in the spare aircraft arrangement information of the spare aircraft management DB 11. , and if they are different from each other, the optimum arrangement notification unit 14 is notified of the optimum arrangement change information regarding the determined spare machine rearrangement method and transfer method. If they are the same, the transfer method calculation unit 132 does not notify the optimal placement notification unit 14 of anything.
　ステップＳ５；
　最後に、最適配置通知部１４は、最適配置変更情報に含まれる予備機の再配置方法及び移管方法を管理者や故障修理班等のオペレータの情報処理端末に出力表示し、予備機を配置すべきビルの変更や新規購入等の推奨を提示する。 Step S5;
Finally, the optimal placement notification unit 14 outputs and displays the spare machine rearrangement method and the transfer method included in the optimal placement change information on the information processing terminal of the manager, the operator such as the repair team, and arranges the spare machines. Recommendations such as building changes and new purchases are presented.
　［応用例１］
　ここまで、予備機の配置状況に変更が発生した場合（具体的には、予備機の使用又は修理により予備機の総数が変化した場合、予備機の再配置により予備機の配置が変更した場合）を前提に説明した。一方、予備機を配置する要因は様々であることから、本発明は、設備や予備機の生産が終了（ＥＯＬ：Ｅｎｄ Ｏｆ Ｌｉｆｅ）して予備機の確保ができず新規購入ができない場合等、現在の予備機の配置状況に変更が発生しない場合についても適用可能である。 [Application example 1]
So far, if there is a change in the allocation of spare aircraft (specifically, if the total number of spare aircraft changes due to the use or repair of spare aircraft, or if the allocation of spare aircraft changes due to the relocation of spare aircraft) ) is assumed. On the other hand, since there are various reasons for arranging a spare machine, the present invention is useful when the production of the equipment or the spare machine is finished (EOL: End Of Life) and the spare machine cannot be secured and a new purchase cannot be made. It can also be applied when there is no change in the current arrangement of spare aircraft.
　［効果］
　本実施形態によれば、複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響値（Ａ）と、各地の設備の修理に関するオンサイト稼働影響値（Ｂ）と、を基に、複数の予備機の再配置方法を計算して通知する。これにより、人手による予備機の再配置の検討が不要となり、自動で設備の予備機の再配置方法を提示可能となる。 [effect]
According to this embodiment, when there is a change in the arrangement of spare machines in which a plurality of spare machines are arranged at each storage base, the user impact value (A) for users who are affected by service deterioration in the event of equipment failure at each location is calculated. , and the on-site operation influence value (B) regarding the repair of equipment in each place, a method of rearranging a plurality of spare machines is calculated and notified. This eliminates the need for manual consideration of the rearrangement of the spare machines, and makes it possible to automatically present the method of rearranging the spare machines of the facility.
　また、本実施形態によれば、複数の再配置方法の中から、ユーザに対するサービス低下の影響の重み（α）と、設備の故障時に影響を受けるユーザの数（ＦＵ）と、ビルに収容されている設備の数（Ｄｘ）と、出動拠点から設備のビルへ移動する最短の移動時間（Ｔｍｉｎ（ｘ））と、を積算したユーザ影響値（Ａ）と、オンサイト稼働の重み（β）と、稼働単金（Ｗ）と、出動拠点から設備のビルへ移動する最短の移動時間（Ｔｍｉｎ（ｘ））と、を積算したオンサイト稼働影響値（Ｂ）と、を合計した合計値（Ａ＋Ｂ）が最小となる再配置方法を計算する。これにより、故障の一時的な地域エリア間の片寄りによって、予備機が枯渇した出動拠点があったとしても、製造元から返却されるまでの間の最適配置をシステムからほぼリアルタイムで提案できるため、サービス中断時間の増加リスクを最小限に抑えることが可能となる。 Further, according to the present embodiment, among a plurality of relocation methods, the weight (α) of the impact of service deterioration on users, the number of users affected by equipment failure (FU), and the number of users accommodated in the building User influence value (A) obtained by multiplying the number of facilities (Dx) and the shortest travel time (Tmin(x)) from the dispatch base to the facility building, and the weight of on-site operation (β) , the operating unit fee (W), the shortest travel time (Tmin(x)) to move from the dispatch base to the facility building, and the on-site operation influence value (B), which is the sum total value ( Calculate the rearrangement method that minimizes A+B). As a result, even if there is a dispatch base where spare machines are depleted due to a temporary breakdown between regional areas, the system can propose the optimal placement until the machines are returned from the manufacturer in almost real time. It is possible to minimize the risk of an increase in service interruption time.
　また、本実施形態によれば、現在の予備機の配置状況に変更が発生しない場合についても適用できるので、ＥＯＬで修理不可となっても設備や予備機を継続利用する場合でも、現存する予備機の数で故障時のサービス影響を最小にする保管拠点を計算可能となり、予備機の最適配置を簡単に導き出すことが可能となる。 Further, according to the present embodiment, since it can be applied even when there is no change in the arrangement of the current spare machines, even if the equipment and the spare machines cannot be repaired at EOL, the existing spare machines can still be used. It is possible to calculate the storage base that minimizes the service impact in the event of a failure based on the number of aircraft, and to easily derive the optimal placement of spare aircraft.
　［その他］
　本発明は、上記実施形態に限定されない。本発明は、本発明の要旨の範囲内で数々の変形が可能である。 [others]
The invention is not limited to the above embodiments. The present invention can be modified in many ways within the scope of the gist of the present invention.
　上記説明した本実施形態の予備機管理装置１０は、例えば、図８に示すように、ＣＰＵ９０１と、メモリ９０２と、ストレージ９０３と、通信装置９０４と、入力装置９０５と、出力装置９０６と、を備えた汎用的なコンピュータシステムを用いて実現できる。メモリ９０２及びストレージ９０３は、記憶装置である。当該コンピュータシステムにおいて、ＣＰＵ９０１がメモリ９０２上にロードされた所定のプログラムを実行することにより、予備機管理装置１０の各機能が実現される。 For example, as shown in FIG. 8, the standby machine management apparatus 10 of the present embodiment described above includes a CPU 901, a memory 902, a storage 903, a communication device 904, an input device 905, and an output device 906. It can be realized using a general-purpose computer system equipped with. Memory 902 and storage 903 are storage devices. In the computer system, each function of the spare machine management device 10 is realized by the CPU 901 executing a predetermined program loaded on the memory 902 .
　予備機管理装置１０は、１つのコンピュータで実装されてもよい。予備機管理装置１０は、複数のコンピュータで実装されてもよい。予備機管理装置１０は、コンピュータに実装される仮想マシンであってもよい。予備機管理装置１０用のプログラムは、ＨＤＤ、ＳＳＤ、ＵＳＢメモリ、ＣＤ、ＤＶＤ等のコンピュータ読取り可能な記録媒体に記憶できる。予備機管理装置１０用のプログラムは、通信ネットワークを介して配信することもできる。 The spare machine management device 10 may be implemented by one computer. The spare machine management device 10 may be implemented by a plurality of computers. The standby machine management device 10 may be a virtual machine implemented on a computer. A program for the spare machine management device 10 can be stored in computer-readable recording media such as HDD, SSD, USB memory, CD, and DVD. The program for the spare machine management device 10 can also be distributed via a communication network.
　１：予備機管理システム
　１０：予備機管理装置
　１１：予備機管理ＤＢ
　１２：変更確認部
　１３：最適配置計算エンジン
　１３１：配置方法計算部
　１３２：移管方法計算部
　１４：最適配置通知部
　２０：設備管理ＤＢ
　３０：ビル位置情報ＤＢ
　４０：地図情報ＤＢ
　９０１：ＣＰＵ
　９０２：メモリ
　９０３：ストレージ
　９０４：通信装置
　９０５：入力装置
　９０６：出力装置 1: Backup machine management system 10: Backup machine management device 11: Backup machine management DB
12: Change confirmation unit 13: Optimal placement calculation engine 131: Placement method calculation unit 132: Transfer method calculation unit 14: Optimal placement notification unit 20: Equipment management DB
30: Building location information DB
40: Map information DB
901: CPU
902: Memory 903: Storage 904: Communication device 905: Input device 906: Output device

Claims (8)

  1. 　各地の設備に向けた複数の予備機の各保管拠点を管理する予備機管理装置において、
    　複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、前記複数の予備機の再配置方法を計算する計算部と、
    　前記複数の予備機の再配置方法を通知する通知部と、
    　を備える予備機管理装置。     In the spare machine management device that manages each storage base of multiple spare machines for facilities in various places,
    Multiple spare machines are placed at each storage base. If there is a change in the arrangement of spare machines, the degree of user impact on users who will be affected by service deterioration in the event of equipment failure in each location, and on-site repair of equipment in each location. a calculation unit that calculates a rearrangement method of the plurality of spare machines based on the operational impact;
    a notification unit for notifying a rearrangement method of the plurality of spare machines;
    A spare machine management device.
  2. 　前記ユーザ影響度は、設備の故障時に影響を受けるユーザの数と、保管拠点から設備の建物へ移動する最短の移動時間と、を積算した積算値であり、
    　前記オンサイト稼働影響度は、保管拠点から設備の建物へ移動する最短の移動時間であり、
    　前記計算部は、
    　複数の再配置方法の中から前記ユーザ影響度と前記オンサイト稼働影響度とを合計した合計値が最小となる再配置方法を計算する請求項１に記載の予備機管理装置。     The user impact level is an integrated value obtained by integrating the number of users affected by equipment failure and the shortest travel time from the storage base to the equipment building,
    The on-site operation impact degree is the shortest travel time from the storage base to the facility building,
    The calculation unit
    2. The spare machine management apparatus according to claim 1, wherein a rearrangement method that minimizes the total value of said user influence degree and said on-site operation influence degree is calculated from among a plurality of rearrangement methods.
  3. 　前記ユーザ影響度は、
    　建物に収容されている設備の数を更に積算した値である請求項２に記載の予備機管理装置。     The user influence is
    3. The spare machine management device according to claim 2, wherein the number of facilities housed in the building is further integrated.
  4. 　前記予備機の配置状況に変更が発生した場合とは、
    　予備機の数が変化した場合、又は予備機の配置が変更した場合である請求項１乃至３のいずれかに記載の予備機管理装置。     When there is a change in the arrangement of the spare aircraft,
    4. The spare machine management device according to any one of claims 1 to 3, wherein the number of spare machines is changed or the arrangement of the spare machines is changed.
  5. 　前記計算部は、
    　前記予備機の配置状況に変更が発生した場合に代えて、予備機の配置状況に変更が発生しない場合に、前記複数の予備機の再配置方法を計算する請求項１乃至３のいずれかに記載の予備機管理装置。     The calculation unit
    4. Any one of claims 1 to 3, wherein the rearrangement method of the plurality of spare machines is calculated when there is no change in the arrangement of the spare machines instead of when there is a change in the arrangement of the spare machines. The described spare machine management device.
  6. 　前記複数の予備機の再配置方法に基づき、保管拠点間での予備機の移管方法を計算する計算部を更に備える請求項１乃至５のいずれかに記載の予備機管理装置。 The spare machine management device according to any one of claims 1 to 5, further comprising a calculation unit that calculates a transfer method for spare machines between storage bases based on the rearrangement method for the plurality of spare machines.
  7. 　各地の設備に向けた複数の予備機の各保管拠点を管理する予備機管理方法において、
    　予備機管理装置が、
    　複数の予備機を各保管拠点に配置した予備機の配置状況に変更が発生した場合、各地の設備の故障時にサービス劣化の影響を受けるユーザに関するユーザ影響度と、各地の設備の修理に関するオンサイト稼働影響度と、を基に、前記複数の予備機の再配置方法を計算するステップと、
    　前記複数の予備機の再配置方法を通知するステップと、
    　を行う予備機管理方法。     In the spare machine management method for managing each storage base of a plurality of spare machines for facilities in various places,
    The spare machine management device
    Multiple spare machines are placed at each storage base. If there is a change in the arrangement of spare machines, the degree of user impact on users who will be affected by service deterioration in the event of equipment failure in each location, and on-site repair of equipment in each location. calculating a rearrangement method for the plurality of spare machines based on the operational impact;
    a step of notifying a rearrangement method of the plurality of spare machines;
    spare machine management method.
  8. 　請求項１乃至６のいずれかに記載の予備機管理装置としてコンピュータを機能させる予備機管理プログラム。 A backup machine management program that causes a computer to function as the backup machine management device according to any one of claims 1 to 6.
PCT/JP2021/014454 2021-04-05 2021-04-05 Spare machine management device, spare machine management method, and spare machine management program WO2022215107A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2021/014454 WO2022215107A1 (en) 2021-04-05 2021-04-05 Spare machine management device, spare machine management method, and spare machine management program
JP2023512501A JPWO2022215107A1 (en) 2021-04-05 2021-04-05

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2021/014454 WO2022215107A1 (en) 2021-04-05 2021-04-05 Spare machine management device, spare machine management method, and spare machine management program

Publications (1)

Publication Number Publication Date
WO2022215107A1 true WO2022215107A1 (en) 2022-10-13

Family

ID=83546275

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2021/014454 WO2022215107A1 (en) 2021-04-05 2021-04-05 Spare machine management device, spare machine management method, and spare machine management program

Country Status (2)

Country Link
JP (1) JPWO2022215107A1 (en)
WO (1) WO2022215107A1 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004246468A (en) * 2003-02-12 2004-09-02 Nec Fielding Ltd Maintenance parts logistics operation system, method, and program
US20050071317A1 (en) * 2003-09-26 2005-03-31 Lucent Technologies Inc. Method and apparatus for optimizing management of spare components for network infrastructure
JP2010102461A (en) * 2008-10-23 2010-05-06 Kddi Corp Failure risk evaluation device
CN104573329A (en) * 2014-12-18 2015-04-29 广东电网公司电力调度控制中心 Method for estimating spare parts supply probability and minimum spare parts number for electric power communication equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2004246468A (en) * 2003-02-12 2004-09-02 Nec Fielding Ltd Maintenance parts logistics operation system, method, and program
US20050071317A1 (en) * 2003-09-26 2005-03-31 Lucent Technologies Inc. Method and apparatus for optimizing management of spare components for network infrastructure
JP2010102461A (en) * 2008-10-23 2010-05-06 Kddi Corp Failure risk evaluation device
CN104573329A (en) * 2014-12-18 2015-04-29 广东电网公司电力调度控制中心 Method for estimating spare parts supply probability and minimum spare parts number for electric power communication equipment

Also Published As

Publication number Publication date
JPWO2022215107A1 (en) 2022-10-13

Similar Documents

Publication Publication Date Title
Wong et al. Stocking decisions for repairable spare parts pooling in a multi-hub system
Gu et al. Medical relief shelter location problem with patient severity under a limited relief budget
Li et al. Enhancement of supply chain resilience through inter-echelon information sharing
Sarker et al. Optimization of maintenance and spare provisioning policy using simulation
CN102395955B (en) Data center control
US6529877B1 (en) Equipment allocation system
US10176453B2 (en) Ensuring resilience of a business function by managing resource availability of a mission-critical project
US9043173B2 (en) Methods and systems for managing facility power and cooling
Arab et al. Electric power grid restoration considering disaster economics
JPWO2008041302A1 (en) Server deployment program and server deployment method
Xie et al. Planning facility location under generally correlated facility disruptions: Use of supporting stations and quasi-probabilities
CN112258071B (en) Method, device and related equipment for dynamic rush-repair of distribution network after disaster
WO2022215107A1 (en) Spare machine management device, spare machine management method, and spare machine management program
Maghfiroh et al. Last mile distribution in humanitarian logistics under stochastic and dynamic consideration
JP3477673B2 (en) Equipment ordering equipment
Beiki et al. A location-routing model for assessment of the injured people and relief distribution under uncertainty
WO2022259298A1 (en) Network management device, method, and program
JP2012190324A (en) Maintenance management system
JPH0816914B2 (en) Equipment renewal time evaluation advice device
Yu et al. Optimization model based on reachability guarantee for emergency facility location and link reinforcement
US7552065B1 (en) Forecasting tool for predicting future demand for parts / materials / equipment
EP3109760A1 (en) Ranking of computer modules
EP0970431B1 (en) Equipment allocation system
JP2021182250A (en) Building management device, building management method, and building management program
CN114766025A (en) Maintenance support system

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21935917

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2023512501

Country of ref document: JP

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21935917

Country of ref document: EP

Kind code of ref document: A1