Method and system for limiting operation based on in-warehouse scheduling

Abstract

The invention discloses a method and a system for limiting operation based on in-warehouse scheduling. The method comprises the following steps of: obtaining a signal of triggering an execution end to enter an operation plug-in entry; obtaining scheduling job state data of an execution end; judging whether the operation state of entering the operation plug-in entry triggered by the execution end accords with the scheduling operation state data; if yes, allowing to enter the operation plug-in; otherwise, forbidding entering the operation plug-in; by adopting the technical scheme, the content of the next operation which can be carried out by the execution end can be precisely limited, the standardization and orderliness of the operation process are guaranteed from the operation level, and the established target requirement of finishing the operation in time is finally achieved through the interlocking mode; it is ensured that all operations can strictly follow the preset time arrangement and can be completed timely and accurately, and the overall efficiency and the execution effect of the front bin operation are practically improved; a plurality of challenges caused by employee autonomy and unsmooth operation planning coordination are effectively handled, and the warehouse logistics industry is assisted to improve the operation management level.

Description

Technical Field

[0001] The present application relates to the technical field of warehouse management, and in particular to a method and system based on warehouse scheduling and operation restriction. Background Art

[0002] In the modern warehousing and logistics operation environment, the forward warehouse, as the core node of the terminal supply chain, faces multi-dimensional refined management challenges in its daily operation. In real operation scenarios, warehouse employees often need to deal with multiple types of operation tasks, including but not limited to shelf replenishment, order sorting, warehouse management, inventory, receiving, delivery, etc., and all types of operations must strictly follow the time window constraints (such as the 30-minute fulfillment time limit for e-commerce orders, the temperature control time limit for cold chain products, etc.). In order to cope with this complex scenario, the warehouse scheduling system integrates operations optimization algorithms and real-time data processing technology to realize dynamic scheduling of warehouse employee operations and improve the efficiency of the operation process.

[0003] However, in the actual application, due to the particularity of the "human-machine collaboration" mechanism, the system faces the risk of execution deviation caused by the autonomy of employee decision-making, which leads to scheduling failure and a chain reaction of task backlog. Specifically, warehouse employees refuse the optimal task recommended by the system based on individual experience (such as differences in familiarity with certain shelves), physical load perception (such as avoiding high-frequency climbing operations) or subjective preferences (such as giving priority to simple tasks), including direct refusal (such as forced sign-out, etc.) or indirect refusal (such as restarting PDA, Personal Digital Assistant, task execution timeout triggering system automatic recycling, etc.) to allow the current task to re-enter the scheduling pool, forming a "task pass the buck" phenomenon, affecting the operational efficiency and service quality of the entire forward warehouse. Summary of the invention

[0004] In view of the above problems, the present application provides a method for restricting operations based on warehouse scheduling to solve the problem that the existing warehouse scheduling system faces the risk of execution deviation caused by employee decision-making autonomy, which leads to scheduling failure.

[0005] To achieve the above object, the inventor provides a method for limiting operations based on in-warehouse scheduling, which comprises the following steps: Get the signal that triggers the execution end to enter the job plug-in entry; Get the scheduling job status data of the execution end; Determine whether the job status of the execution end triggering the entry into the job plug-in is consistent with the scheduled job status data; if it is consistent, the job plug-in is allowed to enter; otherwise, the job plug-in is prohibited to enter.

[0006] Furthermore, the signal for the execution end to trigger the entry into the job plug-in entry is triggered by pressing a physical button on the execution end, clicking on the touch screen, inputting a specific instruction, completing a specific gesture or voice command to enter the job plug-in entry.

[0007] Furthermore, in the step of obtaining the scheduling job status data of the execution end, the scheduling job status data of the execution end includes the scheduling job type, the scheduling job flow, the scheduling job progress, and the scheduling next job requirement.

[0008] Furthermore, the step of determining whether the job status triggered by the execution end to enter the job plug-in entry conforms to the scheduled job status data includes: Determine whether the job status triggered by the execution end to enter the job plug-in entry meets the requirements for scheduling the next job.

[0009] Furthermore, the step of prohibiting access to the job plug-in also includes prompting scheduling of the next job requirement.

[0010] A warehouse dispatching system, comprising: Real-time monitoring module: obtains the signal from the execution end that triggers the entry into the job plug-in; Data collection module: obtains the scheduling job status data of the execution end; Data analysis module: receives data from the real-time monitoring module and the data acquisition module, and determines whether the job status triggered by the execution end to enter the job plug-in entrance conforms to the scheduled job status data; Permission management module: manages and controls the entry of the job plug-in based on the judgment results of the data analysis module.

[0011] Furthermore, the real-time monitoring module uses the signal from the execution end to trigger the entry into the job plug-in entry by entering the job plug-in entry through a physical button on the execution end, clicking on the touch screen, inputting a specific instruction, completing a specific gesture or voice command.

[0012] Furthermore, the data collection module collects the scheduling job status data of the execution end including the scheduling job type, scheduling job flow, scheduling job progress, and scheduling next job requirements.

[0013] Furthermore, the data analysis module determines whether the job status triggered by the execution end to enter the job plug-in entry conforms to the scheduled job status data, including: Determine whether the job status triggered by the execution end to enter the job plug-in entry meets the requirements for scheduling the next job.

[0014] Furthermore, it also includes a display module. When the permission management module executes the prohibition of access to the job plug-in, the display module displays the scheduling requirements for the next job.

[0015] Different from the existing technology, the above technical solution mainly monitors the operation of the execution end to determine whether the job status triggered by the execution end to enter the job plug-in entrance is consistent with the scheduling job status data; specifically, when the execution end attempts to enter a certain job plug-in, it automatically triggers the detailed judgment process for the job status of the execution end. If it is determined that the job status triggered by the execution end to enter the job plug-in entrance does not conform to the scheduling job status data, then the control function is immediately exerted to prohibit entry into the job plug-in, so as to implement precise restrictions on the job content that can be carried out by the execution end in the next step, and ensure the standardization and orderliness of the job process from the operational level. Through this interlocking approach, the established goal requirements of completing the job in a timely manner are finally achieved; ensure that each job can strictly follow the preset time schedule, be completed in a timely and accurate manner, and effectively improve the overall efficiency and execution effect of the forward warehouse operation; effectively respond to the many challenges brought about by the poor coordination between employee autonomy and job planning, and help the warehousing and logistics industry improve its operational management level.

[0016] The above-mentioned records related to the invention content are only an overview of the technical solution of the present application. In order to enable ordinary technicians in the field to more clearly understand the technical solution of the present application, and then implement it according to the text of the specification and the contents recorded in the drawings, and to make the above-mentioned purpose and other purposes, features and advantages of the present application easier to understand, the following is an explanation in combination with the specific implementation mode and drawings of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The drawings are only used to illustrate the principles, implementation methods, applications, characteristics and effects of the specific embodiments of the present invention and other related contents, and shall not be considered as limiting the present application.

[0018] In the drawings of the specification: Figure 1 It is a flowchart of a method for limiting operations based on in-warehouse scheduling according to a specific implementation method; Figure 2 It is a module schematic diagram of the in-warehouse scheduling system described in a specific implementation method.

[0019] The reference numerals in the above drawings are described as follows: 10. Real-time monitoring module; 20. Data acquisition module; 30. Data analysis module; 40. Rights management module; 50. Display module. DETAILED DESCRIPTION

[0020] In order to explain in detail the possible application scenarios, technical principles, specific schemes that can be implemented, and the purposes and effects that can be achieved, the following is a detailed description of the specific embodiments listed in conjunction with the accompanying drawings. The embodiments described herein are only used to more clearly illustrate the technical solutions of the present application, and are therefore only used as examples, and cannot be used to limit the scope of protection of the present application.

[0021] Reference to "embodiment" herein means that the specific features, structures or characteristics described in conjunction with the embodiment may be included in at least one embodiment of the present application. The term "embodiment" appearing in various places in the specification does not necessarily refer to the same embodiment, nor does it particularly limit its independence or association with other embodiments. In principle, in the present application, as long as there is no technical contradiction or conflict, the various technical features mentioned in the embodiments can be combined in any way to form a corresponding implementable technical solution.

[0022] Unless otherwise defined, the technical terms used in this document have the same meanings as those generally understood by those skilled in the art to which this application belongs; the use of relevant terms in this document is only for describing specific embodiments and is not intended to limit this application.

[0023] In the description of this application, the term "and / or" is an expression used to describe the logical relationship between objects, indicating that three relationships may exist, for example, A and / or B, which means: A exists, B exists, and A and B exist at the same time. In addition, the character " / " in this article generally indicates that the objects before and after are in an "or" logical relationship.

[0024] In the present application, terms such as “first” and “second” are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship of quantity, priority or sequence between these entities or operations.

[0025] Without further limitations, in this application, the words "include", "comprises", "has" or other similar open-ended expressions used in sentences are intended to cover non-exclusive inclusion. These expressions do not exclude the presence of additional elements in the process, method or product including the elements, so that the process, method or product including a series of elements may include not only those limited elements, but also other elements not explicitly listed, or also include elements inherent to such process, method or product.

[0026] Similar to the understanding in the Examination Guidelines, in this application, expressions such as "greater than", "less than", "exceed" and the like are understood to exclude the number itself; expressions such as "above", "below", "within" and the like are understood to include the number itself. In addition, in the description of the embodiments of this application, "multiple" means more than two (including two), and similar expressions related to "multiple" are also understood in this way, such as "multiple groups", "multiple times", etc., unless otherwise clearly and specifically limited.

[0027] In the description of the embodiments of the present application, space-related expressions used, such as "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "vertical", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc., indicate the orientation or position relationship based on the orientation or position relationship shown in the specific embodiments or drawings, and are only for the convenience of describing the specific embodiments of the present application or facilitating the reader's understanding, and do not indicate or imply that the referred device or component must have a specific position, a specific orientation, or be constructed or operated in a specific orientation, and therefore cannot be understood as a limitation on the embodiments of the present application.

[0028] See also Figure 1 As shown, this embodiment is a method for restricting operations based on warehouse scheduling, and constructs an effective information interaction and control mechanism. It mainly monitors the operation of the execution end to determine whether the operation status triggered by the execution end to enter the operation plug-in entrance is consistent with the scheduling operation status data; specifically, when the execution end attempts to enter a certain operation plug-in, it automatically triggers a detailed judgment process for the operation status of the execution end. If it is determined that the operation status triggered by the execution end to enter the operation plug-in entrance does not conform to the scheduling operation status data, then the control function is immediately exerted, and entry into the operation plug-in is prohibited, so as to implement precise restrictions on the operation content that can be carried out by the execution end in the next step, and ensure the standardization and orderliness of the operation process from the operational level. Through this interlocking method, the established goal requirements of completing the operation in a timely manner are finally achieved; ensure that each operation can strictly follow the preset time schedule, be completed in a timely and accurate manner, and effectively improve the overall efficiency and execution effect of the forward warehouse operation; effectively respond to the many challenges brought about by the poor coordination between employee autonomy and operation planning, and help the warehousing and logistics industry to improve the level of operation management.

[0029] Combination Figure 1 The following provides an implementation of a method for limiting operations based on in-warehouse scheduling of the present application, which includes the following steps: Get the signal that triggers the execution end to enter the job plug-in entry; Get the scheduling job status data of the execution end; Determine whether the job status of the execution end triggering the entry into the job plug-in is consistent with the scheduled job status data; if it is consistent, the job plug-in is allowed to enter; otherwise, the job plug-in is prohibited to enter.

[0030] The above-mentioned job plug-in is a software component on the operation interface of the execution end that can provide functional support and operation interface for specific job tasks. It can usually be flexibly installed, uninstalled and configured on the execution end to meet different job requirements. If the job includes but is not limited to shelf replenishment, order sorting, warehouse management, inventory, receipt, delivery, etc., then the corresponding job plug-in includes but is not limited to shelf replenishment app, order sorting app, warehouse management app, inventory app, receipt app, delivery app, etc.

[0031] The signal triggered by the execution end to enter the job plug-in entrance is a signal triggered by the warehouse employee to enter the job plug-in entrance by operating the execution end and performing a series of clear operations on the interactive interface of the execution end when starting a specific operation process. Specifically, the operation plug-in entrance can be entered by pressing a physical button, clicking on the touch screen, entering a specific instruction, completing a specific gesture or voice instruction, etc. on the execution end. Once these operations are completed, the execution end will immediately trigger the signal to enter the job plug-in entrance. The execution end can be a mobile smart terminal (such as a PDA, a tablet computer, etc.), a smart wearable device (such as a smart bracelet, a smart helmet, etc.), a desktop computer, etc. The above-mentioned acquisition of the signal triggered by the execution end to enter the job plug-in entrance can be either active acquisition or passive acquisition. In some embodiments, when the execution end triggers the operation of entering the job plug-in entrance, it will actively send a signal or message. Only when the execution end has an operation and sends a signal, will the execution end trigger the signal to enter the job plug-in entrance. For example, after the execution end user clicks the icon to enter the job plug-in entrance, the execution end immediately sends an "entry request" signal, and performs corresponding processing after receiving the signal.

[0032] The scheduling job status data of the execution end can be obtained from the result data link of the scheduling system recommending jobs to employees. The scheduling job status data of the execution end may include but is not limited to the scheduling job type, scheduling job process, scheduling job progress, scheduling next job requirements, etc.

[0033] The above-mentioned step of judging whether the job status of the execution end triggering the entry into the job plug-in is consistent with the scheduled job status data; if it is consistent, the entry into the job plug-in is allowed; otherwise, the step of prohibiting the entry into the job plug-in is to implement precise restrictions on the job content that can be carried out by the execution end in the next step, and to ensure the standardization and orderliness of the job process from the operational level. The specific steps are as follows: the job status of the execution end triggering the entry into the job plug-in is compared in detail with the scheduled job status data; in some embodiments, it is judged whether the job status of the execution end triggering the entry into the job plug-in meets the requirements of the next scheduled job. If the judgment result shows that the job status of the execution end triggering the entry into the job plug-in does not meet the scheduled job status data, the control function is immediately exerted, and the execution end is prohibited from entering the job plug-in. The above-mentioned prohibition of the execution end from entering the job plug-in can be achieved through permission control (such as revoking access rights, modifying permission levels), software process blocking (setting entry interception logic, interrupting data interaction), network access restrictions, etc.

[0034] In order to better guide employees to carry out their work according to the established efficient operation path, thereby ensuring that each operation can strictly follow the preset time schedule, be completed in a timely and accurate manner, and effectively improve the overall efficiency and execution effect of the forward warehouse operation. In some embodiments, the step of prohibiting access to the operation plug-in also includes prompting the scheduling of the next operation requirements.

[0035] See also Figure 2 As shown, the present application also provides a warehouse scheduling system, which enables the data analysis module to accurately determine whether the job status of the execution end is consistent with the scheduling job status data through the collaborative work of the real-time monitoring module and the data acquisition module, and effectively deal with the execution deviation risk caused by employee autonomy; the authority management module is managed and controlled based on the results of the data analysis module, so that employees must operate according to the preset job process and scheduling arrangements, and ensure the standardization and orderliness of the job process from the operational level. Through this interlocking approach, the established goal requirements of completing the job in a timely manner are ultimately achieved; ensuring that each job can strictly follow the preset time schedule, be completed in a timely and accurate manner, and effectively improve the overall efficiency and execution effect of the forward warehouse operation; effectively deal with the many challenges brought about by the poor coordination between employee autonomy and job planning, and help the warehousing and logistics industry improve its operational management level.

[0036] Combination Figure 2 , the following provides an implementation of an in-warehouse dispatching system of the present application. It includes: Real-time monitoring module 10: obtains the signal from the execution end that triggers the entry of the job plug-in; Data collection module 20: obtains the scheduling job status data of the execution end; Data analysis module 30: receives data from the real-time monitoring module and the data acquisition module, and determines whether the job status triggered by the execution end to enter the job plug-in entry conforms to the scheduled job status data; The authority management module 40 controls the entry of the job plug-in according to the judgment result of the data analysis module.

[0037] In the above-mentioned real-time monitoring module 10, the above-mentioned job plug-in is a software component on the operation interface of the execution end that can provide functional support and operation interface for specific operation tasks, and can usually be flexibly installed, uninstalled and configured on the execution end to meet different operation requirements. If the operation includes but is not limited to shelf replenishment, order sorting, warehouse management, inventory, receipt, delivery, etc., then the corresponding job plug-in includes but is not limited to shelf replenishment app, order sorting app, warehouse management app, inventory app, receipt app, delivery app, etc.

[0038] The signal triggered by the execution end to enter the job plug-in entrance is a signal triggered by the warehouse employee opening a specific operation process, performing a series of clear operations on the interactive interface of the execution end by operating the execution end, thereby entering the job plug-in entrance. Specifically, the operation plug-in entrance can be entered by pressing physical buttons, clicking on the touch screen, entering specific instructions, completing specific gestures or voice instructions on the execution end. Once these operations are completed, the execution end will immediately trigger the signal to enter the job plug-in entrance. The execution end can be a mobile smart terminal (such as a PDA, a tablet computer, etc.), a smart wearable device (such as a smart bracelet, a smart helmet, etc.), a desktop computer, etc. It should be noted that the acquisition of the above-mentioned signal triggered by the execution end to enter the job plug-in entrance can be either active or passive. In some embodiments, when the execution end triggers the operation of entering the job plug-in entrance, it will actively send a signal or message to the real-time monitoring module, and the real-time monitoring module is in a "listening" state, waiting to receive these signals. This is like the real-time monitoring module "listening" to the "report" of the execution end. Only when an operation occurs and a signal is sent on the execution end, the monitoring module will obtain relevant information. For example, after the user at the execution end clicks on the entry icon of the job plug-in, the execution end immediately sends an "entry request" signal to the monitoring module, and the monitoring module performs corresponding processing after receiving the signal.

[0039] In the data acquisition module 20, the scheduling operation status data of the execution end can be obtained from the result data link of the scheduling system recommending the employee's job. The scheduling operation status data of the execution end may include but is not limited to the scheduling operation type, scheduling operation process, scheduling operation progress, scheduling next operation requirements, etc.

[0040] In the data analysis module 30, the above-mentioned judgment of whether the job status triggered by the execution end to enter the job plug-in entrance meets the scheduled job status data is a precursor to implementing precise restrictions on the job content that can be carried out by the execution end in the next step. The specific steps are as follows: the job status of the execution end triggering the entry of the job plug-in is compared in detail with the scheduled job status data; in some embodiments, the job status of the execution end triggering the entry of the job plug-in is judged to meet the requirements of the next scheduled job.

[0041] In the authority management module 40, according to the judgment result of the data analysis module 30, the entrance of the job plug-in is controlled to implement precise restrictions on the content of the job that can be carried out by the execution end in the next step, so as to ensure the standardization and orderliness of the operation process from the operational level. If the judgment result shows that the job status of the execution end triggering the entry of the job plug-in does not meet the scheduling job status data, the control effect is immediately exerted to prohibit the execution end from entering the job plug-in. The above prohibition of the execution end from entering the job plug-in can be achieved through authority control (such as revoking access rights, modifying authority levels), software process blocking (setting entry interception logic, interrupting data interaction), network access restrictions, etc.

[0042] In order to better guide employees to carry out their work according to the established efficient operation path, thereby ensuring that each operation can strictly follow the preset time schedule, be completed in a timely and accurate manner, and effectively improve the overall efficiency and execution effect of the forward warehouse operation. In some embodiments, a display module 50 is also included. When the permission management module executes the prohibition of access to the operation plug-in, the display module displays the scheduling requirements for the next operation.

[0043] Finally, it should be noted that although the above embodiments have been described in the specification and drawings of this application, this does not limit the scope of patent protection of this application. All technical solutions generated by replacing or modifying equivalent structures or equivalent processes based on the essential concept of this application using the contents recorded in the specification and drawings of this application, as well as directly or indirectly implementing the technical solutions of the above embodiments in other related technical fields, are included in the scope of patent protection of this application.

Claims

1. A method for limiting operations based on in-warehouse scheduling, characterized in that: The following steps are involved: Get the signal that triggers the execution end to enter the job plug-in entry; Get the scheduling job status data of the execution end; Determine whether the job status of the execution end triggering the entry into the job plug-in is consistent with the scheduled job status data; if it is consistent, the job plug-in is allowed to enter; otherwise, the job plug-in is prohibited to enter.

2. The method for limiting operations based on in-warehouse scheduling according to claim 1 is characterized in that: The signal that triggers the execution end to enter the job plug-in entrance is triggered by entering the job plug-in entrance through a physical button on the execution end, clicking on the touch screen, entering a specific instruction, completing a specific gesture or voice command.

3. The method for limiting operations based on in-warehouse scheduling according to claim 1 is characterized in that: In the step of obtaining the scheduling job status data of the execution end, the scheduling job status data of the execution end includes the scheduling job type, the scheduling job flow, the scheduling job progress, and the scheduling next job requirement.

4. The method for limiting operations based on in-warehouse scheduling according to claim 3 is characterized in that: The step of judging whether the job status triggered by the execution end to enter the job plug-in entry conforms to the scheduled job status data includes: Determine whether the job status triggered by the execution end to enter the job plug-in entry meets the requirements for scheduling the next job.

5. The method for limiting operations based on in-warehouse scheduling according to claim 3 is characterized in that: The step of prohibiting access to the job plug-in also includes prompting scheduling of next job requirements.

6. A warehouse dispatching system, characterized in that: include: Real-time monitoring module: obtains the signal from the execution end that triggers the entry into the job plug-in; Data collection module: obtains the scheduling job status data of the execution end; Data analysis module: receives data from the real-time monitoring module and the data acquisition module, and determines whether the job status triggered by the execution end to enter the job plug-in entrance conforms to the scheduled job status data; Permission management module: manages and controls the entry of the job plug-in based on the judgment results of the data analysis module.

7. The warehouse dispatching system according to claim 6, characterized in that: The real-time monitoring module uses the signal triggered by the execution end to enter the job plug-in entrance by entering the job plug-in entrance through physical buttons on the execution end, clicking on the touch screen, entering specific instructions, completing specific gestures or voice commands.

8. The in-warehouse dispatching system according to claim 6, characterized in that: The data collection module collects the scheduling operation status data of the execution end, including the scheduling operation type, scheduling operation process, scheduling operation progress, and scheduling next operation requirements.

9. The warehouse dispatching system according to claim 8, characterized in that: The data analysis module determines whether the job status triggered by the execution end to enter the job plug-in entry conforms to the scheduled job status data, including: Determine whether the job status triggered by the execution end to enter the job plug-in entry meets the requirements for scheduling the next job.

10. The warehouse dispatching system according to claim 8, characterized in that: It also includes a display module. When the authority management module executes the prohibition of access to the job plug-in, the display module displays the scheduling requirements for the next job.

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