1. A bad inventory monitoring method is used for monitoring a warehouse for storing bad products, and is characterized in that the bad inventory monitoring method comprises the following steps:

obtaining warehousing time of different batches of defective products in a warehouse;

calculating the dead time of different batches of defective products in the warehouse;

analyzing whether the dead time of different batches of defective products exceeds a preset time threshold value or not;

calculating the defective product proportion of which the dead time is within a preset time threshold value in all the defective products in the warehouse;

judging whether the proportion is higher than a preset proportion threshold value or not;

if not, giving out an aging early warning prompt.

2. The bad inventory monitoring method as recited in claim 1, further comprising:

acquiring the number of defective products in different batches in a warehouse;

calculating the total amount of defective products in the warehouse;

judging whether the total quantity of the defective products is higher than a preset quantity threshold value or not;

if yes, a storage early warning prompt is sent out.

3. The bad inventory monitoring method as recited in claim 2, further comprising:

acquiring warehousing information of different batches of defective products in a warehouse, wherein the warehousing information comprises warehousing time of the different batches of defective products;

and transmitting the dead time and the early warning prompt information of the defective products in different batches to a network server.

4. The method according to claim 3, wherein the first indication is output when a ratio of dead time of all the defective products within a preset time threshold is higher than a preset ratio threshold;

outputting a second indication when the proportion is lower than a preset proportion threshold and higher than a warning threshold;

and outputting a third indication when the ratio is lower than the warning threshold.

5. The method as claimed in claim 3, wherein the warehousing information further includes the total quantity, source, type and bin code of the defective products of different batches.

6. The bad inventory monitoring method as recited in claim 5, further comprising:

and controlling the display equipment to display the dead time, the storage information and the early warning prompt information of the defective products in different batches.

7. The bad inventory monitoring method as recited in claim 5, further comprising:

and sending a supervision instruction to a source area corresponding to the defective product exceeding the preset time threshold.

8. The bad inventory monitoring method as claimed in claim 1, wherein the bad inventory monitoring method is performed once after a preset time interval to achieve real-time update of the bad inventory monitoring data.

9. A bad inventory monitoring device comprising a processor and a memory, the memory having stored thereon a number of computer programs, characterized in that the processor is adapted to carry out the steps of the bad inventory monitoring method according to any one of claims 1-8 when executing the computer programs stored in the memory.

10. A computer-readable storage medium having stored thereon instructions executable by one or more processors to perform the steps of the method of any one of claims 1-8.

Background

With the development of the industrial internet, the quality management is also developed towards the direction of network intellectualization. At present, the warehouse management mode of the manufacturing industry to defective products is still old, and the storage quantity of a warehouse is simply recorded by adopting a traditional manual report mode and defective product processing is carried out according to the recorded quantity. Methods for collecting, making or sending data through manual reports are still inefficient, and cannot meet the management requirements of increasing production quantity. However, the conventional defective product management method generally cannot realize the function of operating and managing the connection network in the cloud.

Disclosure of Invention

In view of the foregoing, it is desirable to provide a bad inventory monitoring method, apparatus and computer readable storage medium to solve the above problems.

A bad inventory monitoring method is used for monitoring a warehouse for storing bad products, and comprises the following steps:

obtaining warehousing time of different batches of defective products in a warehouse;

calculating the dead time of different batches of defective products in the warehouse;

analyzing whether the dead time of different batches of defective products exceeds a preset time threshold value or not;

calculating the defective product proportion of which the dead time is within a preset time threshold value in all the defective products in the warehouse;

judging whether the proportion is higher than a preset proportion threshold value or not;

if not, giving out an aging early warning prompt.

Further, the bad inventory monitoring method further comprises:

acquiring the number of defective products in different batches in a warehouse;

calculating the total amount of defective products in the warehouse;

judging whether the total quantity of the defective products is higher than a preset quantity threshold value or not;

if yes, a storage early warning prompt is sent out.

Further, the bad inventory monitoring method further comprises:

acquiring warehousing information of different batches of defective products in a warehouse, wherein the warehousing information comprises warehousing time of the different batches of defective products;

and transmitting the dead time and the early warning prompt information of the defective products in different batches to a network server.

Further, outputting a first indication when the ratio of the dead time of all the defective products in the preset time threshold is higher than a preset ratio threshold;

outputting a second indication when the proportion is lower than a preset proportion threshold and higher than a warning threshold;

and outputting a third indication when the ratio is lower than the warning threshold.

Further, the warehousing information also includes the total amount, source, type and bin codes of the defective products of different batches.

Further, the bad inventory monitoring method further comprises:

and controlling the display equipment to display the dead time, the storage information and the early warning prompt information of the defective products in different batches.

Further, the bad inventory monitoring method further comprises:

and sending a supervision instruction to a source area corresponding to the defective product exceeding the preset time threshold.

Further, the bad inventory monitoring method is executed once after a preset time interval, so that real-time updating of bad inventory monitoring data is achieved.

The bad inventory monitoring device comprises a processor and a memory, wherein a plurality of computer programs are stored on the memory, and the processor is used for realizing the steps of the bad inventory monitoring method when executing the computer programs stored in the memory.

A computer-readable storage medium storing a plurality of instructions executable by one or more processors to perform the steps of the above-described bad inventory monitoring method.

The bad inventory monitoring method and the device provided by the invention can judge whether the treatment aging time of a large batch or the quantity of the bad products exceeds the limit or not by analyzing and calculating the dead time and the quantity of the bad products of different batches, and can also carry out related supervision and improvement if the treatment aging time of the large batch or the quantity of the bad products exceeds the limit. And related technical personnel can visually know the inventory condition in the warehouse and timely confirm the defective product processing live condition through the network server and the display equipment. The invention realizes the timely treatment of the defective stock, and can achieve the purposes of reducing the cost and reducing the stock by promoting the continuous improvement of the goods source.

Drawings

Fig. 1 is a schematic diagram of a frame of a bad inventory monitoring device according to an embodiment of the present invention.

Fig. 2 is a block diagram of a bad inventory monitoring system applied to a bad inventory monitoring device.

Fig. 3 is a flowchart of a bad inventory monitoring method according to an embodiment of the present invention.

Description of the main elements

Bad inventory monitoring device 100

Processor 10

Memory 20

Bad inventory monitoring system 200

Acquisition module 201

Computing module 202

Judging module 203

Early warning module 204

Sending module 205

Display module 206

The following detailed description will further illustrate the invention in conjunction with the above-described figures.

Detailed Description

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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

It will be understood that when an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present. When an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.

Referring to fig. 1, an embodiment of the present invention provides a defective inventory monitoring device 100 for monitoring a warehouse storing defective products and controlling storage time of the defective products in the warehouse. The bad inventory monitoring device 100 includes a processor 10 and a memory 20.

In particular, the memory 20 has stored thereon several computer programs, and the processor 10 is configured to execute the computer programs stored in the memory 20.

Further, referring to fig. 2, a bad inventory monitoring system 200 is stored in the memory 20, and the bad inventory monitoring system 200 is loaded and executed by the processor 10 to implement various functions of the bad inventory monitoring device 100.

The Processor 10 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc.

The memory 20 may be used to store the computing instructions and/or modules/units, and the processor 10 implements the various functions of the bad inventory monitoring system 200 by running or executing computer programs and/or modules/units stored in the memory 20, as well as invoking data stored in the memory 20. The memory 20 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the bad inventory monitoring device 100. In addition, the memory 20 may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.

The bad inventory monitoring system 200 includes an acquisition module 201, a calculation module 202, a judgment module 203, an early warning module 204, and a transmission module 205.

The obtaining module 201 is configured to obtain warehousing information of different batches of defective products in the warehouse.

Specifically, the warehousing information includes, but is not limited to, warehousing time, quantity, source, kind, bin code, etc.

The calculating module 202 is configured to calculate dead time of the defective products in different batches in the warehouse, calculate a ratio of the dead time of all the defective products in the warehouse within a preset time threshold, and calculate a total amount of the defective products in the warehouse.

Specifically, the storage time, namely the stopping time, of the defective products in the warehouse can be calculated through the obtained storage time of the defective products; after judging whether the dead time of the defective products of each batch is within a preset time threshold, calculating the overdue processing proportion of all the defective products; the total quantity of defective products in the warehouse only needs to add the quantity of the defective products in different batches.

The determining module 203 is configured to determine whether dead time of different batches of defective products is within a preset time threshold, determine whether a ratio of dead time of all defective products within the preset time threshold is higher than a preset ratio threshold, and determine whether a total amount of defective products is higher than a preset number threshold.

The early warning module 204 is configured to send out an aging early warning prompt when the ratio of the dead time of all the defective products within the preset time threshold is lower than a preset ratio threshold, and also send out a stock early warning prompt when the total amount of the defective products is higher than a preset number threshold.

Specifically, the aging early warning prompt is used for reminding that the treatment time period of defective products in the warehouse is long, and more defective products extruded for a longer time exist; and the stock early warning prompt is used for reminding that the stock of defective products in the warehouse is large.

Further, in an embodiment, the preset time threshold is 7 days, the preset proportion threshold is 90%, the aging early warning prompt includes a warning prompt and an alarm prompt, the warning prompt is issued when the proportion of the defective products processed within the preset time threshold is 70% -90%, and the alarm prompt is issued when the proportion of the defective products processed within the preset time threshold is less than 70%.

The sending module 205 is configured to transmit storage information, dead time, warning prompt information and the like of defective products in different batches to the network server, and send a supervision instruction to a source location corresponding to the defective product exceeding the preset time threshold.

Specifically, after various pieces of information corresponding to defective products in different batches are uploaded to the network server, a user can directly check the storage condition of the defective products in the warehouse through the mobile terminal at any time and any place, and implementation supervision is realized; the supervision instruction can supervise and urge the related goods sources to accelerate the defective product processing efficiency and prevent a large amount of overstocked defective products.

The display module 206 is configured to control the display device to display parameters of dead time, total amount, source, type, bin code, warning information, and the like of the defective products in different batches.

Specifically, by controlling an external display device (not shown), the processing conditions of the defective products of different batches can be displayed in real time, so that the warehouse can be accelerated to process the defective products conveniently, and the defective products are prevented from being extruded in large quantities.

Referring to fig. 3, the present invention also provides a bad inventory monitoring method for supervising a warehouse storing bad products, which is illustrated as a partial flowchart of the bad inventory monitoring method, and according to different requirements, the sequence of steps in the flowchart may be changed and some steps may be omitted.

The bad inventory monitoring method comprises the following specific steps:

s1: and acquiring the storage information of defective products in different batches in the warehouse.

Specifically, the warehousing information includes, but is not limited to, warehousing time, quantity, source, kind, bin code information, and the like.

Further, the warehousing information may be different according to different embodiments, for example: when the warehouse is only used for depositing the defective products of single kind, need not to acquire the defective products kind promptly again.

S21: and calculating the dead time of the defective products of different batches in the warehouse.

Specifically, the storage time, i.e., the retention time, of the defective products of different batches in the warehouse can be calculated according to the warehousing time of the defective products of different batches.

S22: analyzing whether the dead time of the defective products in different batches is within a preset time threshold range.

Specifically, the step is only used for classifying the defective products of different batches according to whether the dead time is within the preset time threshold, and dividing the defective products into two parts, namely, the defective products within the preset time threshold and the defective products not within the preset time threshold.

Further, the preset time threshold is the preset normal processing aging of the defective products, that is, the dead time of the defective products is within the preset time threshold, otherwise, the dead time is regarded as the accumulation of the defective products in the batch.

Further, in this embodiment, the predetermined time threshold is 7 days, that is, the defective product that has not been processed for more than or equal to 7 days is considered as an overdue unprocessed defective product.

It is to be understood that in other embodiments of the present invention, the predetermined time threshold may be dynamically set depending on the actual state of the warehouse.

S23: and calculating the proportion of the dead time of all the defective products in the warehouse within the range of the preset time threshold.

Specifically, the ratio of the defective products within the preset time threshold to all the defective products is calculated.

S24: and judging whether the proportion is higher than a preset proportion threshold value, if so, entering the step S4, and if not, entering the step S25.

Specifically, if the ratio is higher than the preset ratio threshold, the aging of the defective product treatment in the warehouse is considered to be qualified, and the warehouse aging treatment is normal.

Further, in the present embodiment, the preset proportion threshold is 90%.

S25: and sending out an aging early warning prompt, and then entering the step S5.

Specifically, if the proportion is less than or equal to 90%, the warehouse aging treatment is considered to be abnormal, an aging early warning prompt needs to be sent out to remind related personnel to accelerate the treatment efficiency, and a large amount of overstocked defective products are prevented.

Further, in this embodiment, the aging warning prompt includes a warning prompt and an alarm prompt. The warning prompt is sent when the defective products are processed within a preset time threshold value by 70% -90%. The alarm prompt is sent when the proportion of the defective products processed within the preset time threshold is less than 70%.

It is to be understood that in other embodiments of the invention, the preset proportional threshold may be dynamically set based on the actual inventory of the warehouse.

In one embodiment, when the ratio of the dead time of all the defective products in the preset time threshold is higher than the preset ratio threshold, outputting a first indication; outputting a second indication when the proportion is lower than a preset proportion threshold and higher than a warning threshold; and outputting a third indication when the ratio is lower than the warning threshold.

Further, the first indication appears green, the second indication appears yellow, and the third indication appears red.

It is understood that the green indication, the yellow indication and the red indication can be implemented by means of a dashboard, an indicator light, etc., but are not limited thereto.

Specifically, when the aging early warning prompt is not sent, namely the proportion of the dead time of all the defective products in the preset time threshold is higher than 90%, a green indication is output to represent that the warehouse has normal processing aging; outputting a yellow indication when a warning prompt is sent out, wherein the yellow indication represents that the attention is paid to the processing progress; when the alarm prompt is given, a red indication is output, which represents that overdue inventory needs to be processed as soon as possible.

In another embodiment of the present invention, the first indication, the second indication, and the third indication may be implemented by other manners having a reminding effect, for example: the current inventory processing aging condition is reflected by broadcasting through a loudspeaker arranged in the warehouse.

In one embodiment, after step S1, the method further includes the following steps:

s31: and calculating the total quantity of defective products in the warehouse.

Specifically, the total number of defective products in the warehouse is calculated according to the number of defective products in each batch.

S32: and judging whether the total number of the defective products is higher than a preset number threshold, if so, entering step S33, and if not, entering step S4.

Specifically, whether the total quantity of the defective products is higher than a preset quantity threshold value or not can be judged, whether the total stock of the warehouse exceeds the limit or not can be obtained, and if the stock of the warehouse exceeds the limit, related personnel need to be informed to process the defective products as soon as possible.

It will be appreciated that the preset number threshold is preset depending on the storage capacity of the different warehouses. Typically, the preset quantity threshold is selected to be set at 70% of the total inventory of the warehouse.

S33: the present invention issues a stock warning indication, and then proceeds to step S5.

Specifically, under the condition that the storage of the warehouse exceeds the threshold value, a storage early warning prompt is sent out, the processing speed is increased after the prompt is received, and the normal operation of the warehouse is ensured.

S4: and confirming that the defective products in the warehouse are stored normally.

When the time-efficiency early warning prompt and the stock early warning prompt are not sent out, the storage of defective products in the warehouse can be considered to be normal, and no abnormal risk exists.

S5: and transmitting the dead time and the early warning prompt information of the defective products in different batches to a network server.

Specifically, upload each item information that will receive and each item information that obtains in the executive process to network server for relevant technical staff can rely on the mobile terminal of networking anytime and anywhere to look over the processing situation of defective products in the warehouse, conveniently in time supervise and improve.

Furthermore, the method collects past inventory information from the network database, acquires the latest data of the warehouse, and uploads the latest information to the network database after calculation, thereby realizing the continuous update and accumulation of monitoring data and ensuring the monitoring stability.

Further, in an embodiment, the bad inventory monitoring method further includes the steps (not shown): and controlling the display equipment to display the dead time, the storage information, the early warning prompt information and the like of the defective products in different batches.

Specifically, the information is displayed on the display device in real time, so that whether the data collected on the site of the warehouse is accurate or not can be compared with the data obtained by the method, and if the data collected on the site of the warehouse is not accurate, the data is collected again to ensure that the data is normal.

Furthermore, the display equipment is convenient for warehouse management personnel to master basic conditions of defective products in the warehouse in real time, preferentially processes the defective products with overdue aging, and prevents the defective products from processing a large amount of overdue products.

Specifically, in one embodiment, color instructions are output to a display device. Specifically, when the aging early warning prompt is not generated, a green indication is output; outputting a yellow indication when a warning prompt is sent; a red indication is output when an alarm prompt is issued. The display device visually prompts the warehouse manager through displaying corresponding colors.

Further, in an embodiment, the bad inventory monitoring method further includes the steps (not shown): and sending a supervision instruction to a source area corresponding to the defective product exceeding the preset time threshold.

Specifically, a supervision instruction is issued to the source of the defective products which are unprocessed beyond the time threshold, the source of the defective products is supervised and urged to process the defective products as soon as possible, and the defective products can be continuously input to the warehouse by controlling the source of the defective products before the batch of the defective products are processed.

Further, in one embodiment, the data of the bad inventory is updated in real time to ensure that the real-time data is accurate. In general, the data is updated once a day, but the data is not limited to this and can be dynamically adjusted according to the warehousing condition.

The present invention also provides a computer-readable storage medium storing a plurality of instructions executable by one or more processors to implement the steps of the bad inventory monitoring method described above.

The bad inventory monitoring device 100 and the bad inventory monitoring method can judge whether a large batch of processing aging time is exceeded or the quantity is exceeded or not by analyzing and calculating the dead time and the quantity of the bad products in different batches, and if so, related supervision and improvement can be carried out. And related technical personnel can visually know the inventory condition in the warehouse and timely confirm the defective product processing live condition through the network server and the display equipment. The invention realizes the timely treatment of the defective stock, and can achieve the purposes of reducing the cost and reducing the stock by promoting the continuous improvement of the goods source.

In addition, other modifications within the spirit of the invention may occur to those skilled in the art, and such modifications are, of course, included within the scope of the invention as claimed.