CN115526592A

CN115526592A - Method, device and equipment for determining working hours and storage medium

Info

Publication number: CN115526592A
Application number: CN202211146321.3A
Authority: CN
Inventors: 汪敏; 陶朝杰; 王佳跃; 汪顺利; 陈智超; 贾培灵; 刘刚; 吴春龙; 刘奎
Original assignee: Shanghai Aircraft Manufacturing Co Ltd
Current assignee: Shangfei Intelligent Technology Co ltd
Priority date: 2022-09-20
Filing date: 2022-09-20
Publication date: 2022-12-27

Abstract

The invention discloses a method, a device, equipment and a storage medium for determining working hours. Acquiring original man-hour data corresponding to a target process in each unit time in a current man-hour updating period, and processing the original man-hour data to obtain an average statistical quota; acquiring at least one historical standard working hour of a target working procedure; and determining standard working hours matched with the target working procedure and the current working hour updating period according to the average statistical quota and at least one historical standard working hour. The technical scheme of the embodiment of the invention provides a relatively accurate standard working hour calculation method so as to improve the effectiveness of a scheduling algorithm, improve the production efficiency and more reasonably distribute resources.

Description

Method, device and equipment for determining working hours and storage medium

Technical Field

The invention relates to the technical field of discrete industries, in particular to a method, a device, equipment and a storage medium for determining working hours.

Background

The standard working hours are important basis for a series of behaviors such as making production plans, scheduling production resources, optimizing manpower management, accounting enterprise cost and the like in a manufacturing workshop. At present, most of the traditional standard man-hour making methods are directed at the flow manufacturing industries of automobiles, ships, electronic products and the like. In addition, the method is usually based on a large amount of statistical data, and a statistical analysis method is utilized to calculate the statistical quota under the average meaning.

Compared with the process manufacturing industry, the discrete manufacturing industry has more dispersed production links and more diversified production equipment. In the work of analyzing specific manufacturing details, researching production environment factors and the like, the calculation accuracy and the calculation efficiency are in contradiction. In addition, the rated working hours formulated by the statistical analysis method can only reflect the average level achieved in the past, and are easily influenced by false factors in the data. Therefore, the traditional standard man-hour making method has the problems of low efficiency, poor flexibility and the like in the discrete manufacturing industry.

Disclosure of Invention

The invention provides a method, a device, equipment and a storage medium for determining working hours, and provides a relatively accurate standard working hour calculation method, so as to improve the effectiveness of a scheduling algorithm, improve the production efficiency and more reasonably distribute resources.

According to an aspect of the present invention, there is provided a man-hour determination method including:

acquiring original man-hour data corresponding to a target process in each unit time in a current man-hour updating period, and processing the original man-hour data to obtain an average statistical quota;

acquiring at least one historical standard working hour of the target working procedure;

and determining the standard working hours matched with the target working procedure and the current working hour updating period according to the average statistical quota and the at least one historical standard working hour.

According to another aspect of the present invention, there is provided a man-hour determination device including:

the average statistical quota acquiring module is used for acquiring the working hour data corresponding to the target working procedure in each unit time in the current working hour updating period and processing the working hour data to obtain the average statistical quota;

the historical standard man-hour obtaining module is used for obtaining at least one historical standard man-hour of the target working procedure;

and the standard working hour determining module is used for determining the standard working hour matched with the target working procedure and the current working hour updating cycle according to the average statistical quota and the at least one historical standard working hour.

According to another aspect of the present invention, there is provided an electronic apparatus including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the man-hour determination method according to any of the embodiments of the present invention.

According to another aspect of the present invention, there is provided a computer-readable storage medium storing computer instructions for causing a processor to implement the man-hour determination method according to any one of the embodiments of the present invention when executed.

According to the technical scheme of the embodiment of the invention, the original man-hour data corresponding to the target process in each unit time in the current man-hour updating period is obtained, and the original man-hour data is processed to obtain the average statistical quota; acquiring at least one historical standard working hour of a target working procedure; the technical means of determining the standard working hours matched with the target working procedure and the current working hour updating period according to the average statistical quota and at least one historical standard working hour solves the problems of low efficiency, poor flexibility and the like of the traditional standard working hour making method in the discrete manufacturing industry, provides a relatively accurate standard working hour calculating method, improves the effectiveness of a scheduling algorithm, improves the production efficiency and more reasonably distributes resources.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present invention, nor do they necessarily limit the scope of the invention. Other features of the present invention will become apparent from the following description.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a flowchart of a method for determining man-hour according to an embodiment of the present invention;

fig. 2 is a flowchart of another man-hour determination method according to a second embodiment of the present invention;

fig. 3 is a schematic structural diagram of a man-hour determining apparatus according to a third embodiment of the present invention;

fig. 4 is a schematic structural diagram of an electronic device implementing the man-hour determination method according to the embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, shall fall within the protection scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Moreover, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example one

Fig. 1 is a flowchart of a man-hour determination method according to an embodiment of the present invention, which is applicable to a case where a man-hour determination is performed on a process of a discrete manufacturing industry, and the method may be performed by a man-hour determination device, which may be implemented in a form of hardware and/or software, and the man-hour determination device may be configured in a server having a data processing function. As shown in fig. 1, the method includes:

and S110, acquiring original man-hour data corresponding to the target process in each unit time in the current man-hour updating period, and processing the original man-hour data to obtain an average statistical quota.

In this embodiment, since the production links of the discrete manufacturing industry are more distributed and the production equipment is more diversified, a small-lot, multi-variety and flexible discrete manufacturing mode is generated, and in order to more accurately determine the standard man-hour of the flexible discrete manufacturing mode, the standard man-hour of the process can be periodically updated. For example, the man-hour update cycle may be determined to be 1 month, that is, the standard man-hours for the process may be updated every one month.

The current man-hour update period may refer to the current month. The unit time may refer to one working day. Raw man-hour data may refer to actual man-hours for a target process at each working day. The average statistical rating may refer to an average man-hour data obtained from all of the raw man-hour data in the current man-hour update period. Taking a 1 month time-to-hour update period as an example, the real-time data within the time-to-hour update period may be as shown in table 1.

TABLE 1

Work order number	Date	Actual man-hour (h)
			001	2022-4-1	1.5
001	2022-4-2	1.6
			001	2022-4-5	1.5
…	…	…
			001	2022-4-28	1.6
001	2022-4-29	1.7
			001	2022-4-30	1.5

In this embodiment, the original man-hour data of the target process can be obtained at each unit time in the current man-hour updating cycle, and then the original man-hour data is processed to obtain the corresponding average statistical quota.

In an optional implementation manner of this embodiment, processing the raw man-hour data to obtain the average statistical quota may include: carrying out logarithm processing on the original working hour data to obtain standby working hour data; determining a quota range for the spare man-hour data; an average statistical rating of spare man-hour data is determined under the rating scale.

The spare man-hour data may refer to man-hour data obtained by performing logarithm processing on the original man-hour data. The rating range may refer to a statistical range of the spare man-hour data, and may be obtained by calculating statistical upper and lower limit values of the spare man-hour data.

It should be noted that, regarding the original man-hour data, most of them are concentrated on both sides of the average, and the number of them is small, and the overall distribution is close to the normal distribution and right biased, in this case, the logarithm may be taken for all the original man-hour data, and the right biased data distribution may be adjusted to the normal distribution, and the absolute difference between the data may be reduced, so as to reduce the influence of the extreme value.

On the basis of the above alternative embodiment, determining the quota range for the spare man-hour data may include: determining a first amount of spare man-hour data; calculating a first average value of the spare man-hour data according to the first quantity and each spare man-hour data; determining a standard deviation value of the spare man-hour data according to the first average value; and determining the quota range of the spare man-hour data according to the first average value and the standard deviation value.

In particular, can be prepared by

Calculating a first average value, wherein N represents a first number of spare man-hour data, X _i The data of each spare man-hour is expressed,

a first average value representing spare man-hour data. Can pass through

A standard deviation value is calculated. Can pass through

Determining statistical upper limit for backup man-hour data

And lower limit value

Thereby obtaining a quota range.

Further, the average statistical quota of the spare man-hour data is determined in the quota range, and target man-hour data meeting the quota range can be searched in all spare man-hour data; determining a second amount of target man-hour data; calculating a second average value of the target man-hour data according to the second quantity and each target man-hour data; the second average value is taken as the average statistical quota.

In particular, can be prepared by

Determining an average statistical quota of spare man-hour data within a quota range, wherein M represents the number of target man-hour data, i.e. a second number, X _i The data of each target man-hour is expressed,

a second average, i.e., an average statistical quota, representing the target man-hour data.

And S120, acquiring at least one historical standard man-hour of the target process.

The historical standard man-hour may refer to a standard man-hour of the target process at each historical update cycle before the current man-hour update cycle. Illustratively, the target process exists from 1/2022, and the current time update cycle is 2022/4/2022, then the standard time corresponding to each of 1/2022, 2/and 3/year is the historical standard time of the target process.

In this embodiment, to improve the accuracy of the standard man-hours of the processes in the discrete manufacturing industry, the calculation may be performed in combination with the historical standard man-hours of the target processes.

In an optional implementation manner of this embodiment, the obtaining of at least one historical standard time of the target process may include: and acquiring at least one historical standard working hour of the target working procedure before the current working hour updating period by taking the time length of the current working hour updating period as a unit.

Specifically, at least one historical standard labor hour of the target procedure may be acquired every unit time length before the current labor hour update cycle in units of the time length of the current labor hour update cycle.

Optionally, when the target process first meets the man-hour update cycle, the preset initial standard man-hour is used as the historical standard man-hour.

And S130, determining standard working hours matched with the target working procedure and the current working hour updating period according to the average statistical quota and at least one historical standard working hour.

In this embodiment, the standard man-hours matching the target process with the current man-hour update cycle may be determined according to the average statistical quota corresponding to the current man-hour update cycle and at least one historical standard man-hour.

Example two

Fig. 2 is a flowchart of another man-hour determining method according to the second embodiment of the present invention, and this embodiment refines the operation of determining the standard man-hours matching the target process with the current man-hour updating period according to the average statistical quota and at least one historical standard man-hour on the basis of the above-mentioned embodiments. As shown in fig. 2, the method includes:

s210, acquiring original man-hour data corresponding to the target process in each unit time in the current man-hour updating period, and processing the original man-hour data to obtain an average statistical quota.

S220, acquiring at least one historical standard working hour of the target working procedure.

Optionally, if the current man-hour update cycle is the first man-hour update cycle that the target process satisfies, the preset initial standard man-hour of the current man-hour update cycle at the start time may be used as the historical standard man-hour.

Illustratively, if the target process exists from 1/2022, and the current time update period is 2022/1/2022, the preset initial standard time at 1/2022 may be used as the only historical standard time of the target process.

And S230, respectively determining the weight value of each historical standard labor hour according to the time interval between each historical standard labor hour and the current labor hour updating period.

In the present embodiment, the time interval between the historical standard man-hour and the current man-hour update cycle is represented by d, and then the weight value of the historical standard man-hour may be represented as

That is, the more recent historical standard man-hour is from the current man-hour update cycle, the greater the weight corresponding to the man-hour.

Illustratively, the target process exists from 1/2022, the current time update period is 2022/4/2022, then the standard time corresponding to each of the 1/2/3/2022 is the historical standard time of the target process, then 2 time update periods exist from the beginning of 3/2022 to the end of the current time update period, that is, d =2, and then the corresponding weight value is set to be

By analogy, the weight value corresponding to 2 months is

A weight value of 1 month

S240, according to the weight value, carrying out weighted average processing on at least one historical standard man-hour and the average statistical quota, and determining the standard man-hour matched with the current man-hour updating period.

In the present embodiment, the first and second light sources can be turned on and off

Calculating standard man-hours, wherein T represents the standard man-hours of the current man-hour update cycle,

denotes the average statistical rating, Q denotes the number of historical standard hours, T _i Indicating historical standard man-hours, d _i The time interval of each historical standard time from the current time update period is shown. It should be noted that the historical standard time period closest to the current time period is T ₁ Weighted value of

Thereby pushing forward.

According to the technical scheme of the embodiment of the invention, the original man-hour data corresponding to the target process in each unit time in the current man-hour updating period is obtained, and the original man-hour data is processed to obtain the average statistical quota; acquiring at least one historical standard working hour of a target working procedure; respectively determining the weight value of each historical standard labor hour according to the time interval between each historical standard labor hour and the current labor hour updating period; according to the weighted value, at least one historical standard man-hour and the average statistical quota are weighted and averaged, and the technical means of the standard man-hour matched with the current man-hour updating period is determined, so that the problems of low efficiency, poor flexibility and the like of the traditional standard man-hour making method in the discrete manufacturing industry are solved, and a relatively accurate standard man-hour calculating method is provided to improve the effectiveness of a scheduling algorithm, improve the production efficiency and more reasonably distribute resources.

EXAMPLE III

Fig. 3 is a schematic structural diagram of a man-hour determination device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: an average statistical quota obtaining module 310, a historical standard man-hour obtaining module 320, and a standard man-hour determining module 330. Wherein:

an average statistical quota obtaining module 310, configured to obtain time-hour data corresponding to a target process in each unit time in a current time-hour updating period, and process the time-hour data to obtain an average statistical quota;

a historical standard man-hour obtaining module 320, configured to obtain at least one historical standard man-hour of the target process;

and a standard man-hour determining module 330, configured to determine, according to the average statistical quota and the at least one historical standard man-hour, a standard man-hour matching the target work procedure with the current man-hour updating period.

Optionally, the average statistical quota obtaining module 310 includes:

the standby working hour data acquisition unit is used for carrying out logarithmic processing on the original working hour data to obtain standby working hour data;

a quota range determination unit configured to determine a quota range for the spare man-hour data;

and the average statistical quota determining unit is used for determining the average statistical quota of the spare man-hour data under the quota range.

Optionally, the quota range determining unit may be specifically configured to:

determining a first amount of the spare man-hour data;

calculating a first average value of the spare man-hour data according to the first quantity and each spare man-hour data;

determining a standard deviation value of the spare man-hour data according to the first average value;

and determining the quota range of the spare man-hour data according to the first average value and the standard deviation value.

Optionally, the average statistical quota determining unit may be specifically configured to:

searching target man-hour data meeting the quota range in all the spare man-hour data;

determining a second quantity of the target man-hour data;

calculating a second average value of the target man-hour data according to the second quantity and each target man-hour data;

taking the second average value as the average statistical quota.

Optionally, the historical standard time obtaining module 320 may be specifically configured to:

and acquiring at least one historical standard working hour of the target working procedure before the current working hour updating period by taking the time length of the current working hour updating period as a unit.

Optionally, the standard man-hour determining module 330 may be specifically configured to:

respectively determining the weighted value of each historical standard labor hour according to the time interval between each historical standard labor hour and the current labor hour updating period;

and carrying out weighted average processing on the at least one historical standard man-hour and the average statistical quota according to the weight value, and determining the standard man-hour matched with the current man-hour updating period.

Optionally, the man-hour determination apparatus further includes a historical standard man-hour determination module, configured to:

and when the target working procedure meets the working hour updating period for the first time, taking preset initial standard working hours as the historical standard working hours.

The man-hour determining device provided by the embodiment of the invention can execute the man-hour determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.

Example four

FIG. 4 shows a schematic block diagram of an electronic device 400 that may be used to implement embodiments of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 4, the electronic device 400 includes at least one processor 401, and a memory communicatively connected to the at least one processor 401, such as a Read Only Memory (ROM) 402, a Random Access Memory (RAM) 403, and the like, wherein the memory stores computer programs executable by the at least one processor, and the processor 401 may perform various suitable actions and processes according to the computer programs stored in the Read Only Memory (ROM) 402 or the computer programs loaded from a storage unit 408 into the Random Access Memory (RAM) 403. In the RAM 403, various programs and data required for the operation of the electronic device 400 can also be stored. The processor 401, ROM 402 and RAM 403 are connected to each other by a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

A number of components in the electronic device 400 are connected to the I/O interface 405, including: an input unit 406 such as a keyboard, a mouse, or the like; an output unit 407 such as various types of displays, speakers, and the like; a storage unit 408 such as a magnetic disk, optical disk, or the like; and a communication unit 409 such as a network card, modem, wireless communication transceiver, etc. The communication unit 409 allows the electronic device 400 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

Processor 401 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 401 executes the respective methods and processes described above, such as the man-hour determination method.

In some embodiments, the man-hour determination method may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 400 via the ROM 402 and/or the communication unit 409. When the computer program is loaded into RAM 403 and executed by processor 401, one or more steps of the man-hour determination method described above may be performed. Alternatively, in other embodiments, the processor 401 may be configured to perform the man-hour determination method by any other suitable means (e.g., by way of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Computer programs for implementing the methods of the present invention can be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired results of the technical solution of the present invention can be achieved.

The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A man-hour determination method, characterized by comprising:

2. The method of claim 1, wherein processing the raw man-hour data to derive an average statistical rating comprises:

carrying out logarithm processing on the original man-hour data to obtain standby man-hour data;

determining a quota range for the spare man-hour data;

determining an average statistical rating for the spare man-hour data at the rating range.

3. The method of claim 2, wherein determining a quota range for the spare man-hour data comprises:

determining a first amount of the spare man-hour data;

4. The method of claim 2, wherein determining an average statistical rating of the spare man-hour data at the rating range comprises:

searching target man-hour data meeting the quota range in all the standby man-hour data;

determining a second amount of the target man-hour data;

taking the second average value as the average statistical quota.

5. The method of claim 1, wherein obtaining at least one historical standard man-hour of the target process step comprises:

6. The method of claim 1, wherein determining the standard man-hours for which the target man-hours match the current man-hour update period based on the average statistical quota and the at least one historical standard man-hour comprises:

and according to the weight value, carrying out weighted average processing on the at least one historical standard man-hour and the average statistical quota, and determining the standard man-hour matched with the current man-hour updating period.

7. The method of claim 1, further comprising:

8. A man-hour determination device characterized by comprising:

a historical standard man-hour obtaining module, which is used for obtaining at least one historical standard man-hour of the target working procedure;

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein, the first and the second end of the pipe are connected with each other,

the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A computer-readable storage medium storing computer instructions for causing a processor to perform the method of any one of claims 1-7 when executed.