Automatic goods requiring method and system based on production logistics, electronic equipment and medium

Abstract

The invention discloses an automatic goods requiring method and system based on production logistics, electronic equipment and a medium, and the method comprises the steps: obtaining vehicle body scanning information which is used for determining the use number of parts; according to the vehicle body scanning information and the packaging volume, determining a goods requiring moment; adjusting parameters are determined according to the goods requiring time and preset parameters; and according to the adjustment parameter, triggering an automatic goods requiring instruction. The technical problems that according to an existing manual goods requiring mode, parts cannot arrive at stations in time, and the station stopping risk is generated are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of automobile manufacturing, and in particular, relates to a method, system, electronic equipment and medium for ordering goods based on production logistics automation. Background Art

[0002] In the current automobile manufacturing industry, the logistics and distribution of parts during production is a crucial link, and the way to guide employees in distribution is particularly important. At present, most domestic automobile production lines use manual confirmation of line reserves and replenishment based on low storage values ​​or empty boxes. However, for actual logistics production, in order to meet the labor efficiency of personnel, a single person is responsible for a large number of parts, and each person is responsible for nearly 30 types of parts on average.

[0003] For example, a large-scale company's production line has about 12,000 boxes of parts required and put on the line every day, and the average number of boxes per employee is about 200 boxes per day. Employees need to collect the empty boxes generated in the current cycle and manually scan the parts board information on the empty boxes to trigger the order. There are many problems in the whole process, such as the empty box board is lost, employees miss scanning, traffic jams during the cycle, etc. These problems will affect the time employees take to order, resulting in the parts arriving at the site late and the risk of downtime. Summary of the invention

[0004] The embodiments of the present invention provide a method, system, electronic device and medium for ordering goods based on production logistics automation, so as to at least solve the technical problem of the existing manual ordering method, that is, the parts arrive at the site late and cause the risk of downtime.

[0005] According to a first aspect of an embodiment of the present invention, there is provided a method for ordering goods based on automated production logistics, comprising: obtaining vehicle body scanning information, wherein the scanning information is used to determine the number of parts used; determining an ordering time based on the vehicle body scanning information and packaging volume; determining adjustment parameters based on the ordering time and preset parameters; and triggering an automatic ordering instruction based on the adjustment parameters.

[0006] Optionally, preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0007] Optionally, determining the time to order the goods based on the vehicle body scanning information and the packaging volume includes: in response to the number of parts used reaching the packaging volume, determining the current time as the time to order the goods.

[0008] Optionally, adjustment parameters are determined based on the time of ordering and preset parameters, including: determining the time when the parts arrive at the use station based on the number of car bodies stored between the part use station and the car body scanning point to the preset initial station and the production rhythm; determining the adjustment parameters based on the time when the parts arrive at the use station and the time of ordering.

[0009] Optionally, determining the adjustment parameter based on the time when the part arrives at the use station and the time when the goods are required includes: in response to the difference between the time when the part arrives at the use station and the time when the goods are required being equal to the employee cycle time, determining the adjustment parameter to be zero.

[0010] Optionally, adjusting parameters are determined based on the time when the parts arrive at the workstation and the time when the parts are required, including: in response to the difference between the time when the parts arrive at the workstation and the time when the parts are required being not equal to the employee cycle time, adjusting parameters are determined based on preset formulas and preset parameters.

[0011] Optionally, in response to the number of parts used reaching the packaging volume, determining the current moment as the time to order the goods includes: obtaining the part volume and part weight; determining the volume occupied by the parts based on the part volume, part weight and the number of parts used; in response to the volume occupied by the parts reaching the packaging volume, determining the current moment as the time to order the goods.

[0012] Optionally, the method for automated ordering based on production logistics also includes: outputting automatic ordering prompt information in response to triggering an automatic ordering instruction.

[0013] According to a second aspect of an embodiment of the present invention, there is also provided a system for requesting goods based on production logistics automation, comprising:

[0014] An acquisition module is used to obtain vehicle body scanning information, wherein the scanning information is used to determine the number of parts used; a first determination module is used to determine the time of ordering goods based on the vehicle body scanning information and the packaging volume; a second determination module is used to determine the adjustment parameters based on the time of ordering goods and preset parameters; a trigger module is used to trigger an automatic ordering instruction based on the adjustment parameters.

[0015] Optionally, the preset parameters in the second determination module include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0016] Optionally, the first determination module is further used to: in response to the quantity of parts used reaching the packaging volume, determine the current time as the time to order the goods.

[0017] Optionally, the second determination module is also used to: determine the time when the parts arrive at the use station based on the number of car bodies and the production rhythm stored between the part use station and the car body scanning point to the preset initial station; determine the adjustment parameters based on the time when the parts arrive at the use station and the time when the goods are required.

[0018] Optionally, the second determination module is further used to: in response to the difference between the time when the part arrives at the use station and the time when the part is required being equal to the employee cycle time, determine that the adjustment parameter is zero.

[0019] Optionally, the second determination module is further used to: in response to the difference between the time when the parts arrive at the use station and the time when they are required being not equal to the employee cycle time, determine the adjustment parameters according to a preset formula and preset parameters.

[0020] Optionally, the first determination module is also used to: obtain part volume and part weight; determine the volume occupied by the part based on the part volume, part weight and number of parts used; in response to the volume occupied by the part reaching the packaging volume, determine the current time as the time to order the goods.

[0021] Optionally, the trigger module is further used to: output automatic ordering prompt information in response to the automatic ordering instruction being triggered.

[0022] According to a third aspect of an embodiment of the present invention, there is also provided an electronic device, comprising a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the method for ordering goods based on production logistics automation as described in any embodiment of the first aspect above.

[0023] According to a fourth aspect of an embodiment of the present invention, a non-volatile storage medium is further provided, in which a computer program is stored, wherein the computer program is configured to execute the method for ordering goods based on production logistics automation described in any embodiment of the first aspect above when running on a computer or processor.

[0024] According to a fifth aspect of an embodiment of the present invention, there is also provided a computer program product, including a computer program, which, when executed by a processor, implements the method for ordering goods based on production logistics automation as described in any embodiment of the first aspect above.

[0025] In an embodiment of the present invention, the vehicle body scanning information is first obtained, wherein the scanning information is used to determine the number of parts used; then the ordering time is determined based on the vehicle body scanning information and the packaging volume; finally, the adjustment parameters are determined based on the ordering time and preset parameters; and the automatic ordering instruction is triggered based on the adjustment parameters. The present invention determines the ordering time when the parts reach the packaging volume, and then determines the adjustment parameters based on the ordering time and preset parameters. The adjustment parameters can adjust the ordering process to ensure that the parts arrival time matches the employee cycle time, which can ensure smooth production, and further solve the technical problem of the existing manual ordering method, which has the risk of parts arriving at the site untimely and causing downtime. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0027] Figure 1is a flow chart of a method for ordering goods based on production logistics automation according to one embodiment of the present invention;

[0028] Figure 2 It is a structural block diagram of a system for automatically requesting goods based on production logistics according to one embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] According to an embodiment of the present invention, an embodiment of a method for automatically requesting goods based on production logistics is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system containing at least one set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0032] The method embodiment can also be executed in an electronic device including a memory and a processor, a similar control device or a cloud. Taking an electronic device as an example, the electronic device may include one or more processors and a memory for storing data. Optionally, the electronic device may also include a communication device and a display device for communication functions. It can be understood by those of ordinary skill in the art that the above structural description is only illustrative and does not limit the structure of the above electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a configuration different from the above structural description.

[0033] The processor may include one or more processing units. For example, the processor may include a central processing unit (CPU), a graphics processing unit (GPU), a digital signal processing (DSP) chip, a microcontroller unit (MCU), a field-programmable gate array (FPGA), a neural network processor (NPU), a tensor processing unit (TPU), an artificial intelligence (AI) type processor, and the like. Among them, different processing units may be independent components or integrated into one or more processors. In some instances, the electronic device may also include one or more processors.

[0034] The memory can be used to store computer programs, such as storing a computer program corresponding to the method for ordering goods based on automated production logistics in an embodiment of the present invention. The processor implements the method for ordering goods based on automated production logistics by running the computer program stored in the memory. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the electronic device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0035] The communication device is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the mobile terminal. In one example, the communication device includes a network adapter (network interface controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the communication device can be a radio frequency (radio frequency, RF) module, which is used to communicate with the Internet wirelessly. In some embodiments of the present solution, the communication device is used to connect to mobile devices such as mobile phones and tablets, and instructions can be sent to electronic devices through the mobile device.

[0036] The display device may be a touch screen type liquid crystal display (LCD) and a touch display (also referred to as a "touch screen" or "touch display screen"). The liquid crystal display may enable a user to interact with a user interface of the electronic device. In some embodiments, the electronic device has a graphical user interface (GUI), and a user may interact with the GUI by touching a finger release and / or gestures on a touch-sensitive surface, and executable instructions for executing the above-mentioned human-computer interaction functions are configured / stored in a computer program product or a readable storage medium executable by one or more processors.

[0037] It should be noted that in the warehousing and distribution process of auto parts, there are many types of parts involved in the warehousing management of auto parts, and currently online supply is carried out in the form of empty box pull. That is, employees collect empty boxes during the online process and send order information to the upstream storage area. After receiving the order information, the upstream storage area delivers the required parts to the site. After completing the current online process, the online employee returns to the site and replenishes the parts to the production line in the next online process. The entire process of sending full boxes from the site to the production line and collecting empty boxes to return to the site is called an online cycle.

[0038] Take a production line as an example. The number of parts ordered and put on the line every day is about 12,000 boxes, and the average number of boxes per employee is about 200 boxes per day. Employees need to collect the empty boxes generated in the current cycle and manually scan the parts board information on the empty boxes to trigger the order. There are many problems in the whole process, such as the empty box board is lost, employees miss scanning, traffic jams during the cycle, etc. These problems will affect the time for employees to order goods, resulting in the parts arriving at the site late and the risk of downtime.

[0039] Based on the above problems, an embodiment of the present invention provides a method for ordering goods based on production logistics automation, which is as follows:

[0040] Figure 1 is a flow chart of a method for ordering goods based on production logistics automation according to one embodiment of the present invention. Figure 1 As shown, the method comprises the following steps:

[0041] Step S101, obtaining vehicle body scanning information, wherein the scanning information is used to determine the usage quantity of parts.

[0042] Step S102, determining the time to receive the goods according to the vehicle body scanning information and the packaging volume.

[0043] Step S103, determining adjustment parameters according to the ordering time and preset parameters.

[0044] Specifically, the adjustment parameter is used to indicate the triggering timing of the automatic order instruction.

[0045] Step S104, triggering an automatic order for goods based on the adjustment parameters.

[0046] In an embodiment of the present invention, the vehicle body scanning information is first obtained, wherein the scanning information is used to determine the number of parts used; then the ordering time is determined based on the vehicle body scanning information and the packaging volume; finally, the adjustment parameters are determined based on the ordering time and preset parameters; and the automatic ordering instruction is triggered based on the adjustment parameters. The present invention determines the ordering time when the parts reach the packaging volume, and then determines the adjustment parameters based on the ordering time and preset parameters. The adjustment parameters can adjust the ordering process to ensure that the parts arrival time matches the employee cycle time, which can ensure smooth production, and further solve the technical problem of the existing manual ordering method, which has the risk of parts arriving at the site untimely and causing downtime.

[0047] Optionally, preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0048] Optionally, determining the time to order the goods based on the vehicle body scanning information and the packaging volume includes: in response to the number of parts used reaching the packaging volume, determining the current time as the time to order the goods.

[0049] Optionally, adjustment parameters are determined based on the time of ordering and preset parameters, including: determining the time when the parts arrive at the use station based on the number of car bodies stored between the part use station and the car body scanning point to the preset initial station and the production rhythm; determining the adjustment parameters based on the time when the parts arrive at the use station and the time of ordering.

[0050] Optionally, determining the adjustment parameter based on the time when the part arrives at the use station and the time when the goods are required includes: in response to the difference between the time when the part arrives at the use station and the time when the goods are required being equal to the employee cycle time, determining the adjustment parameter to be zero.

[0051] Optionally, adjusting parameters are determined based on the time when the parts arrive at the workstation and the time when the parts are required, including: in response to the difference between the time when the parts arrive at the workstation and the time when the parts are required being not equal to the employee cycle time, adjusting parameters are determined based on preset formulas and preset parameters.

[0052] Optionally, in response to the number of parts used reaching the packaging volume, determining the current moment as the time to order the goods includes: obtaining the part volume and part weight; determining the volume occupied by the parts based on the part volume, part weight and the number of parts used; in response to the volume occupied by the parts reaching the packaging volume, determining the current moment as the time to order the goods.

[0053] Optionally, the method for automated ordering based on production logistics also includes: outputting automatic ordering prompt information in response to triggering an automatic ordering instruction.

[0054] Specifically, the above embodiment of the present invention is implemented as follows:

[0055] The vehicle body scanning information is obtained to identify the usage quantity of each part. When the usage quantity of the parts reaches the packaging volume, the system automatically triggers the kanban request information to the upstream storage warehouse, which is the implementation logic of this method.

[0056] In the process of ordering goods, the order is triggered after the last part of the whole box is identified. The time for the car body to reach the use station through the scanning point is fixed, and the time for each employee to go online varies due to factors such as driving distance and the number of parts on the line. This may cause the time for employees to go online for some parts to not match the production line consumption. Therefore, it is necessary to set adjustment parameters in the system to avoid risks. The unit of this parameter is the number of parts. The way to determine the adjustment parameters is as follows:

[0057] Assume: the time when the part arrives at the use station is Td; the time when the system triggers the order is Ty; the production cycle is Ts; the employee cycle time is Tx; the adjustment parameters are: the number of car bodies stored between the C car body scanning point and the 0 station (hereinafter referred to as the car body library) is: CS; the part use station is: Cg;

[0058] Then, Td = (CS + Cg) Ts, Td-TY = TX, and the adjustment parameter is 0. Td-TY ≠ TX, and the adjustment parameter is C = (Tx - (Td-Ty)) / Ts.

[0059] The automated ordering method of the present invention retrieves the vehicle body information of the main engine factory and triggers it through packaging capacity calculation, and records the triggering time; by adjusting the parameters to advance or delay the triggering process, the risk of mismatch between the consumption time and the cycle time is avoided. After the trigger, the generated ordering information is sent to the upstream storage area for parts ordering, replacing the original employee scanning the empty box kanban to order goods. It is also possible to apply for maintenance and adjustment parameters according to the system prompts or the differences generated during the actual operation process to achieve the purpose of stable production.

[0060] Take a production workshop as an example. Part A triggers automatic demand and sends a kanban message at 13:00. The part uses station 70, the car body warehouse stores 30 car bodies, and the production line cycle is 63 seconds. Calculation shows that the car body using this part is expected to arrive at the use station in 105 minutes. Assuming that the online driver plans the route cycle time to be 80 minutes, which is less than the time for the part to arrive at the station, the system will alarm. Calculation shows that the adjustment parameter of part A is (105-80)*60 / 63≈24 parts. The adjustment parameter is maintained in the system, and the system determines that the part is delayed by 24 parts to trigger the demand. After this cycle, employees can go online within the normal cycle time to ensure the normal reserve of parts next to the line.

[0061] In some embodiments of the present invention, the dispatch time of each part is calculated in real time by inputting the batch number and maintenance downtime. In this way, the dispatch time of each part can be more accurately grasped, the turnover rate can be improved, the supply delays can be reduced, and the smooth operation of production can be ensured.

[0062] Through the description of the above implementation methods, those skilled in the art can clearly understand that the method according to the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), including a number of instructions for a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of the present invention.

[0063] In this embodiment, a system for requesting goods based on production logistics automation is also provided, which is used to implement the above-mentioned embodiments and preferred implementation modes, and the descriptions that have been made will not be repeated. As used below, the term "module" is a combination of software and / or hardware that can implement a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceivable.

[0064] Figure 2 is a structural block diagram of a system 200 for automatically requesting goods based on production logistics according to one embodiment of the present invention. Figure 2As shown, an example is taken based on a production logistics automation ordering system 200, including: an acquisition module 201, used to acquire vehicle body scanning information, wherein the scanning information is used to determine the number of parts used; a first determination module 202, used to determine the ordering time according to the vehicle body scanning information and the packaging volume; a second determination module 203, used to determine the adjustment parameters according to the ordering time and preset parameters; a trigger module 204, used to trigger an automatic ordering instruction according to the adjustment parameters.

[0065] Optionally, the preset parameters in the second determination module 203 include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0066] Optionally, the first determination module 202 is further used to: in response to the quantity of used parts reaching the packaging volume, determine the current time as the time to order the goods.

[0067] Optionally, the second determination module 203 is also used to: determine the time when the parts arrive at the use station according to the number of car bodies and the production rhythm stored between the part use station and the car body scanning point to the preset initial station; determine the adjustment parameters according to the time when the parts arrive at the use station and the time when the goods are required.

[0068] Optionally, the second determination module 203 is further used to: in response to the difference between the time when the part arrives at the use station and the time when the part is required being equal to the employee cycle time, determine that the adjustment parameter is zero.

[0069] Optionally, the second determination module 203 is further used to: in response to the difference between the time when the parts arrive at the use station and the time when the parts are required is not equal to the employee cycle time, determine the adjustment parameters according to a preset formula and preset parameters.

[0070] Optionally, the first determination module 202 is also used to: obtain part volume and part weight; determine the volume occupied by the part based on the part volume, part weight and number of parts used; in response to the volume occupied by the part reaching the packaging volume, determine the current time as the time to order the goods.

[0071] Optionally, the trigger module 204 is further configured to: in response to the triggering of the automatic ordering instruction, output automatic ordering prompt information.

[0072] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute the method for ordering goods based on production logistics automation described in any of the above embodiments.

[0073] Optionally, in this embodiment, the processor in the above electronic device may be configured to run a computer program to perform the following steps:

[0074] Step S101, obtaining vehicle body scanning information, wherein the scanning information is used to determine the usage quantity of parts.

[0075] Step S102, determining the time to receive the goods according to the vehicle body scanning information and the packaging volume.

[0076] Step S103, determining adjustment parameters according to the ordering time and preset parameters.

[0077] Step S104, triggering an automatic order for goods based on the adjustment parameters.

[0078] Optionally, preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0079] Optionally, determining the time to order the goods based on the vehicle body scanning information and the packaging volume includes: in response to the number of parts used reaching the packaging volume, determining the current time as the time to order the goods.

[0080] Optionally, adjustment parameters are determined based on the time of ordering and preset parameters, including: determining the time when the parts arrive at the use station based on the number of car bodies stored between the part use station and the car body scanning point to the preset initial station and the production rhythm; determining the adjustment parameters based on the time when the parts arrive at the use station and the time of ordering.

[0081] Optionally, determining the adjustment parameter based on the time when the part arrives at the use station and the time when the goods are required includes: in response to the difference between the time when the part arrives at the use station and the time when the goods are required being equal to the employee cycle time, determining the adjustment parameter to be zero.

[0082] Optionally, adjusting parameters are determined based on the time when the parts arrive at the workstation and the time when the parts are required, including: in response to the difference between the time when the parts arrive at the workstation and the time when the parts are required being not equal to the employee cycle time, adjusting parameters are determined based on preset formulas and preset parameters.

[0083] Optionally, in response to the number of parts used reaching the packaging volume, determining the current moment as the time to order the goods includes: obtaining the part volume and part weight; determining the volume occupied by the parts based on the part volume, part weight and the number of parts used; in response to the volume occupied by the parts reaching the packaging volume, determining the current moment as the time to order the goods.

[0084] Optionally, the method for automated ordering based on production logistics also includes: outputting automatic ordering prompt information in response to triggering an automatic ordering instruction.

[0085] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0086] An embodiment of the present invention further provides a non-volatile storage medium, in which a computer program is stored, wherein the computer program is configured to execute the method for ordering goods based on production logistics automation described in any of the above embodiments when running on a computer or a processor.

[0087] Optionally, in this embodiment, the above-mentioned computer program may be configured to store a computer program for performing the following steps:

[0088] Step S101, obtaining vehicle body scanning information, wherein the scanning information is used to determine the usage quantity of parts.

[0089] Step S102, determining the time to receive the goods according to the vehicle body scanning information and the packaging volume.

[0090] Step S103, determining adjustment parameters according to the ordering time and preset parameters.

[0091] Step S104, triggering an automatic order for goods based on the adjustment parameters.

[0092] Optionally, preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0093] Optionally, determining the time to order the goods based on the vehicle body scanning information and the packaging volume includes: in response to the number of parts used reaching the packaging volume, determining the current time as the time to order the goods.

[0094] Optionally, adjustment parameters are determined based on the time of ordering and preset parameters, including: determining the time when the parts arrive at the use station based on the number of car bodies stored between the part use station and the car body scanning point to the preset initial station and the production rhythm; determining the adjustment parameters based on the time when the parts arrive at the use station and the time of ordering.

[0095] Optionally, determining the adjustment parameter based on the time when the part arrives at the use station and the time when the goods are required includes: in response to the difference between the time when the part arrives at the use station and the time when the goods are required being equal to the employee cycle time, determining the adjustment parameter to be zero.

[0096] Optionally, adjusting parameters are determined based on the time when the parts arrive at the workstation and the time when the parts are required, including: in response to the difference between the time when the parts arrive at the workstation and the time when the parts are required being not equal to the employee cycle time, adjusting parameters are determined based on preset formulas and preset parameters.

[0097] Optionally, in response to the number of parts used reaching the packaging volume, determining the current moment as the time to order the goods includes: obtaining the part volume and part weight; determining the volume occupied by the parts based on the part volume, part weight and the number of parts used; in response to the volume occupied by the parts reaching the packaging volume, determining the current moment as the time to order the goods.

[0098] Optionally, the method for automated ordering based on production logistics also includes: outputting automatic ordering prompt information in response to triggering an automatic ordering instruction.

[0099] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments and optional implementation modes, and this embodiment will not be described in detail here.

[0100] An embodiment of the present invention further provides a computer program product, including a computer program, which, when executed by a processor, implements the method for ordering goods based on production logistics automation described in any of the above embodiments.

[0101] Optionally, in this embodiment, the above computer program implements the following steps when executed by a processor:

[0102] Step S101, obtaining vehicle body scanning information, wherein the scanning information is used to determine the usage quantity of parts.

[0103] Step S102, determining the time to receive the goods according to the vehicle body scanning information and the packaging volume.

[0104] Step S103, determining adjustment parameters according to the ordering time and preset parameters.

[0105] Step S104, triggering an automatic order for goods based on the adjustment parameters.

[0106] Optionally, preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

[0107] Optionally, determining the time to order the goods based on the vehicle body scanning information and the packaging volume includes: in response to the number of parts used reaching the packaging volume, determining the current time as the time to order the goods.

[0108] Optionally, adjustment parameters are determined based on the time of ordering and preset parameters, including: determining the time when the parts arrive at the use station based on the number of car bodies stored between the part use station and the car body scanning point to the preset initial station and the production rhythm; determining the adjustment parameters based on the time when the parts arrive at the use station and the time of ordering.

[0109] Optionally, determining the adjustment parameter based on the time when the part arrives at the use station and the time when the goods are required includes: in response to the difference between the time when the part arrives at the use station and the time when the goods are required being equal to the employee cycle time, determining the adjustment parameter to be zero.

[0110] Optionally, adjusting parameters are determined based on the time when the parts arrive at the workstation and the time when the parts are required, including: in response to the difference between the time when the parts arrive at the workstation and the time when the parts are required being not equal to the employee cycle time, adjusting parameters are determined based on preset formulas and preset parameters.

[0111] Optionally, in response to the number of parts used reaching the packaging volume, determining the current moment as the time to order the goods includes: obtaining the part volume and part weight; determining the volume occupied by the parts based on the part volume, part weight and the number of parts used; in response to the volume occupied by the parts reaching the packaging volume, determining the current moment as the time to order the goods.

[0112] Optionally, the method for automated ordering based on production logistics also includes: outputting automatic ordering prompt information in response to triggering an automatic ordering instruction.

[0113] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0114] In some embodiments provided in the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the modules can be a logical function division. There may be other division methods in actual implementation. For example, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, modules or indirect coupling or communication connection of modules, which can be electrical or other forms.

[0115] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the present embodiment.

[0116] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of software functional modules.

[0117] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0118] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for ordering goods based on production logistics automation, characterized in that: include: Obtaining vehicle body scan information, wherein the scan information is used to determine the usage quantity of the parts; Determine the time to order the goods according to the scanning information of the vehicle body and the packaging volume; Determine the adjustment parameters according to the order time and preset parameters; According to the adjustment parameters, an automatic order for goods is triggered.

2. The method for ordering goods based on production logistics automation according to claim 1 is characterized in that: The preset parameters include: production rhythm, employee cycle time, parts usage station, and the number of car bodies stored between the car body scanning point and the preset initial station.

3. The method for ordering goods based on production logistics automation according to claim 1 is characterized in that: The step of determining the time of receiving the goods according to the vehicle body scanning information and the packaging volume includes: In response to the used quantity of the parts reaching the packaging volume, the current time is determined as the time to request the goods.

4. The method for ordering goods based on production logistics automation according to claim 2 is characterized in that: Determining the adjustment parameters according to the order time and the preset parameters includes: Determine the time when the part arrives at the using station according to the part using station, the number of car bodies stored between the car body scanning point and the preset initial station, and the production tact; The adjustment parameters are determined according to the time when the parts arrive at the use station and the time when the parts are required.

5. The method for ordering goods based on production logistics automation according to claim 4 is characterized in that: Determining the adjustment parameters according to the time when the parts arrive at the use station and the time when the parts are required includes: In response to the difference between the time when the part arrives at the use station and the time when the part is required being equal to the employee cycle time, the adjustment parameter is determined to be zero.

6. The method for ordering goods based on production logistics automation according to claim 4 is characterized in that: Determining the adjustment parameters according to the time when the parts arrive at the use station and the time when the parts are required includes: In response to the fact that the difference between the time when the part arrives at the use station and the time when the part is required is not equal to the employee cycle time, the adjustment parameter is determined according to a preset formula and preset parameters.

7. The method for ordering goods based on production logistics automation according to claim 3 is characterized in that: In response to the used quantity of the parts reaching the packaging volume, determining the current time as the time to order the goods includes: Get part volume and part weight; Determine the volume occupied by the part according to the volume of the part, the weight of the part and the number of parts used; In response to the volume occupied by the parts reaching the packaging volume, the current time is determined as the time to request the goods.

8. The method for ordering goods based on production logistics automation according to claim 1, characterized in that: Also includes: In response to the triggering of the automatic ordering instruction, automatic ordering prompt information is output.

9. A system for ordering goods based on production logistics automation, characterized in that: include: An acquisition module, used to acquire vehicle body scanning information, wherein the scanning information is used to determine the usage quantity of the parts; A first determination module is used to determine the time of receiving the goods according to the vehicle body scanning information and the packaging volume; The second determination module is used to determine the adjustment parameters according to the order time and the preset parameters; The trigger module is used to trigger the automatic ordering instruction according to the adjustment parameters.

10. An electronic device comprising a memory and a processor, characterized in that: The memory stores a computer program, and the processor is configured to run the computer program to execute the method for ordering goods based on production logistics automation as described in any one of claims 1 to 8 above.

11. A non-volatile storage medium, characterized in that: The non-volatile storage medium stores a computer program, wherein the computer program is configured to execute the method for ordering goods based on production logistics automation as described in any one of claims 1 to 8 when running on a computer or a processor.

12. A computer program product, characterized in that It comprises a computer program, which, when executed by a processor, implements the method for ordering goods based on production logistics automation according to any one of claims 1 to 8.

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