Efficient allocation system and method for intelligent material allocation

Abstract

The invention discloses an efficient allocation system and method for intelligent material dispensing, and belongs to the technical field of material dispensing. The invention discloses an efficient allocation system and method for intelligent material allocation, and the system comprises a material information collection module which is used for collecting the related information of materials; the demand analysis module is connected with the material information acquisition module and is used for analyzing material demands; the allocation module is connected with the demand analysis module and is used for carrying out material allocation decision making according to a demand analysis result; the inventory management module is connected with the allocation module and is used for managing material inventory; the allocation execution module is connected with the allocation module and is responsible for executing a material allocation task; the invention aims to solve the problems that in the prior art, information processing and feedback of a material allocation system are lagged, the overall efficiency is affected, the material allocation system relates to coordination and cooperation of multiple departments, the process is complex, and errors are prone to occurring.

Description

Technical Field

[0001] The present invention relates to the technical field of material adjustment, and in particular to an efficient allocation system and method for intelligent material adjustment. Background Art

[0002] Material transfer usually refers to the redistribution or balance of materials between different units, regions or departments based on demand and supply. This process may involve the evaluation of existing materials, demand forecasting, and matching between supply and demand. The purpose of material transfer is to make more efficient use of resources and ensure that materials can be delivered to where they are most needed. Material allocation focuses more on the physical movement of materials, that is, the process of transporting materials from one location to another. Material allocation needs to consider the mode of transportation, cost, time, and the safety and integrity of materials. In actual operation, material transfer and material allocation are often complementary. First, determine which materials need to be moved through material transfer, and then use material allocation to actually implement the transportation and distribution of these materials. An efficient material transfer and allocation system can significantly improve the responsiveness and flexibility of the supply chain, reduce costs, and improve the overall service quality;

[0003] With the continuous expansion of the supply chain and the enrichment of product lines, the improvement of supply chain efficiency depends on the speed and accuracy of information transmission. However, many material transfer systems currently have lags in information processing and feedback, which affects the overall efficiency. The material transfer system involves the coordination and cooperation of multiple departments, and the process is complex and prone to errors. Therefore, an efficient transfer system and method for intelligent material transfer are proposed. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the prior art that the material transfer system has a lag in information processing and feedback, which affects the overall efficiency, and the material transfer system involves the coordination and cooperation of multiple departments, the process is complicated and prone to errors, and to propose an efficient transfer system and method for intelligent material transfer.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] An efficient allocation system and method for intelligent material adjustment, comprising: a material information collection module, used to collect relevant information of materials; a demand analysis module, connected to the material information collection module, used to analyze material demand; an allocation module, connected to the demand analysis module, and making material allocation decisions according to the demand analysis results; an inventory management module, connected to the allocation module, and used to manage material inventory; and a deployment execution module, connected to the allocation module, responsible for executing material allocation tasks.

[0007] The present invention is further configured as follows: the material information collection module includes at least one of the following: a sensor for collecting physical information of materials; and a manual input device for manually inputting material information.

[0008] By adopting the above technical solutions, the sensor can ensure high accuracy through measures such as automatic zeroing and system error correction. The access of manual input devices allows direct control and supervision of the data entry process, which is more accurate for the allocation system with unique needs.

[0009] The present invention is further configured as follows: the demand analysis module includes a data analysis unit for analyzing the collected material information.

[0010] By adopting the above technical solutions, the data analysis unit can automatically process a large amount of collected material information, avoiding the tediousness and errors of manual analysis and improving efficiency. The data analysis unit supports multiple data processing capabilities, such as data mining, predictive analysis and machine learning, to cope with different analysis tasks. The data analysis unit of the demand analysis module can provide strong data support for material management and help organizations make more accurate and efficient material adjustment and allocation decisions.

[0011] The present invention is further configured as follows: the allocation module includes an optimization algorithm unit for formulating an optimal allocation plan according to demand analysis results and inventory conditions, and a decision unit for making an allocation decision according to the results of the optimization algorithm unit.

[0012] By adopting the above technical solution, the optimization algorithm unit can automatically receive the demand analysis results and real-time inventory data, and use efficient optimization algorithms (such as linear programming, integer programming, genetic algorithms, etc.) to handle complex allocation problems, while considering multiple goals such as cost, time, and resource utilization to achieve multi-faceted optimization. The decision-making unit makes decisions based on the data analysis results provided by the optimization algorithm unit.

[0013] The present invention is further configured as follows: the inventory management module includes: an inventory monitoring unit for real-time monitoring of the inventory level of materials, and a replenishment reminder unit for issuing a replenishment reminder when the inventory is lower than a set threshold.

[0014] By adopting the above technical solutions, real-time inventory level monitoring is provided to ensure the accuracy and timeliness of inventory data, automatically track the entry and exit of materials and inventory changes, and be able to monitor inventory in multiple dimensions such as different material categories and storage locations. It allows users to set inventory thresholds for different materials, and automatically trigger reminders when the inventory is lower than these thresholds. The inventory management module can improve the efficiency and effectiveness of material management, ensure the continuity and stability of material supply, and reduce inventory costs and risks.

[0015] The present invention is further configured as follows: the allocation execution module includes: a task allocation unit, which allocates the allocation task to the corresponding execution personnel or equipment, and an execution monitoring unit, which monitors the execution status of the allocation task.

[0016] By adopting the above technical solution, allocation tasks are allocated according to the availability, location and capabilities of the executors or equipment, the urgency and importance of the tasks are identified, tasks are allocated according to priority, relevant personnel or systems are notified to execute the tasks, the response speed is improved, and the execution status of the allocation tasks is tracked in real time, including the current location and estimated arrival time of the materials. The allocation execution module can ensure the smooth execution of the allocation tasks, improve the efficiency and accuracy of material allocation, and reduce operational risks and costs.

[0017] The present invention is further configured to include the following steps:

[0018] -Collect relevant information of materials through the material information collection module;

[0019] - Analyze material requirements using the demand analysis module;

[0020] -The allocation module makes material allocation decisions based on demand analysis results;

[0021] -Inventory management module manages material inventory;

[0022] -The allocation execution module executes material allocation tasks.

[0023] By adopting the above technical solution, the material information collection module is used to automatically or manually collect key information of materials, including but not limited to the type, quantity, status, location, etc. of materials. The demand analysis module processes the received material information, analyzes the material demand of different regions or units, and predicts future demand trends. The allocation module uses the optimization algorithm to formulate a material allocation plan based on the results of the demand analysis and the current inventory status. The decision-making unit further determines the specific allocation plan. The inventory management module is responsible for monitoring the inventory level to ensure the storage safety and rationality of materials. When the inventory is lower than the preset threshold, the replenishment reminder is automatically triggered to avoid material shortages. The allocation execution module is responsible for converting the allocation decision into a specific operation task, assigning it to the execution personnel or automated equipment, and monitoring the execution of the task to ensure the smooth completion of the allocation task. During the execution process, feedback information is collected, the allocation effect is evaluated, and the subsequent allocation plan and strategy are adjusted according to the actual situation.

[0024] The present invention is further configured as follows: the demand analysis step includes: performing data analysis on the collected material information, and predicting material demand based on the data analysis results.

[0025] By adopting the above technical solutions, the collected material information is sorted to ensure the consistency and accuracy of the data. The sorted data is deeply analyzed using data analysis tools and algorithms to identify material usage patterns, consumption rates and related trends. The demand analysis module can provide accurate material demand forecasts for the material adjustment system, help organizations make more scientific allocation decisions, optimize resource allocation, reduce inventory costs, and improve response speed.

[0026] The present invention is further configured as follows: the allocation step includes: formulating an optimal allocation plan using an optimization algorithm according to the demand analysis results and inventory conditions, and making an allocation decision according to the results of the optimization algorithm.

[0027] By adopting the above technical solution, the prediction results of the demand analysis module and the current inventory data of the inventory management module are collected and analyzed, and the allocation plan is formulated using optimization algorithms (such as linear programming, integer programming, heuristic algorithms, etc.). Considering factors such as cost, time, and resource constraints, the allocation module can ensure the efficiency, economy, and adaptability of the material allocation process, meet the material needs in different situations, and reduce costs and risks.

[0028] The present invention is further configured as follows: the inventory management step includes: real-time monitoring of material inventory levels, and issuing a replenishment reminder when the inventory is lower than a set threshold.

[0029] By adopting the above technical solutions, the inventory monitoring unit is used to continuously track the inventory level of materials to ensure an accurate understanding of the current inventory situation. The inventory management module can ensure the continuity and reliability of material supply, while optimizing inventory levels, reducing backlogs and surpluses, and improving overall inventory management efficiency.

[0030] Compared with the prior art, the present invention provides an efficient allocation system and method for intelligent material adjustment, which has the following beneficial effects:

[0031] 1. The system of the present invention can significantly improve the efficiency of material allocation and reduce manual processing time through automated material information collection and intelligent allocation decision-making. The system can formulate the most cost-effective allocation plan, optimize resource allocation, reduce logistics costs, monitor inventory levels in real time, and issue replenishment reminders in time when the inventory is below the threshold to avoid material shortages and ensure the continuity of the supply chain. The demand analysis and forecasting unit provides decision makers with data-based insights to support more accurate allocation decisions;

[0032] 2. The integrated allocation module of the present invention improves the system's ability to handle complex situations and realizes intelligent material management. The automated and intelligent processes reduce the links of manual operations, thereby reducing the risks caused by operational errors. The system provides clear task allocation and execution monitoring, increases the transparency of operations, and facilitates supervision and auditing. The system can be flexibly adjusted according to different business needs and market changes, and has strong adaptability. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic diagram of an efficient allocation system and method for intelligent material allocation according to the present invention;

[0034] Figure 2 This is a schematic diagram of a data analysis system for an efficient allocation system and method for intelligent material adjustment of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be described clearly and completely 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, rather than all the embodiments.

[0036] Reference Figure 1-2 , an efficient allocation system for intelligent material transfer, comprising: a material information collection module, used to collect relevant information of materials; a demand analysis module, connected to the material information collection module, used to analyze material demand; an allocation module, connected to the demand analysis module, and making material allocation decisions according to the demand analysis results; an inventory management module, connected to the allocation module, used to manage material inventory; a deployment execution module, connected to the allocation module, responsible for executing material allocation tasks;

[0037] The data analysis unit automatically processes a large amount of collected material information, avoiding the tediousness and errors of manual analysis and improving efficiency. The data analysis unit supports a variety of data processing capabilities, such as data mining, predictive analysis and machine learning, to cope with different analysis tasks. The data analysis unit of the demand analysis module can provide strong data support for material management. The optimization algorithm unit can automatically receive demand analysis results and real-time inventory data, and use efficient optimization algorithms (such as linear programming, integer programming, genetic algorithms, etc.) to handle complex allocation problems, while considering multiple goals such as cost, time, and resource utilization to achieve multi-faceted optimization. The decision-making unit makes decisions based on the data analysis results provided by the optimization algorithm unit, provides real-time inventory level monitoring, ensures the accuracy and timeliness of inventory data, automatically tracks the entry, exit and inventory changes of materials, and can monitor inventory according to different material categories, storage locations and other dimensions. It allows users to set inventory thresholds for different materials, and automatically triggers reminders when the inventory is lower than these thresholds. The allocation execution module can ensure the smooth execution of allocation tasks, improve the efficiency and accuracy of material allocation, and reduce operational risks and costs.

[0038] Reference Figure 1-Figure 2 , an efficient allocation method for intelligent material adjustment, comprising the following steps:

[0039] -Collect relevant information of materials through the material information collection module;

[0040] - Analyze material requirements using the demand analysis module;

[0041] -The allocation module makes material allocation decisions based on demand analysis results;

[0042] -Inventory management module manages material inventory;

[0043] -The allocation execution module executes material allocation tasks;

[0044] The material information collection module is used to automatically or manually collect key information about materials, including but not limited to the type, quantity, status, and location of materials. The demand analysis module processes the received material information, analyzes the material demand in different regions or units, and predicts future demand trends. The allocation module uses optimization algorithms to formulate material allocation plans based on the results of the demand analysis and the current inventory status. The decision-making unit further determines the specific allocation plan. The inventory management module is responsible for monitoring inventory levels to ensure the safety and rationality of material storage. When the inventory is lower than the preset threshold, a replenishment reminder is automatically triggered to avoid material shortages. The allocation execution module is responsible for converting allocation decisions into specific operational tasks, assigning them to executive personnel or automated equipment, and monitoring the execution of tasks to ensure the smooth completion of allocation tasks.

[0045] Reference Figure 1-Figure 2 The material information collection module includes at least one of the following: a sensor for collecting physical information of materials; a manual input device for manually inputting material information. The sensor can ensure high accuracy through measures such as automatic zeroing and system error correction. The access of the manual input device allows direct control and supervision of the data entry process, which is more accurate for the allocation system with unique needs.

[0046] Reference Figure 1-Figure 2 The demand analysis module includes a data analysis unit for analyzing the collected material information. The data analysis unit can automatically process a large amount of collected material information, avoiding the tediousness and errors of manual analysis and improving efficiency. The data analysis unit supports a variety of data processing capabilities, such as data mining, predictive analysis and machine learning, to cope with different analysis tasks. The data analysis unit of the demand analysis module can provide strong data support for material management and help organizations make more accurate and efficient material adjustment and allocation decisions.

[0047] Reference Figure 1-Figure 2 The allocation module includes an optimization algorithm unit, which is used to formulate the optimal allocation plan according to the demand analysis results and inventory conditions, and a decision unit, which makes allocation decisions according to the results of the optimization algorithm unit. The optimization algorithm unit can automatically receive the demand analysis results and real-time inventory data, and use efficient optimization algorithms (such as linear programming, integer programming, genetic algorithms, etc.) to handle complex allocation problems, while considering multiple goals such as cost, time, and resource utilization to achieve multi-faceted optimization. The decision unit makes decisions based on the data analysis results provided by the optimization algorithm unit. The energy consumption of the entire system is crucial, which helps to identify and reduce unnecessary energy losses.

[0048] Reference Figure 1-Figure 2 The inventory management module includes: an inventory monitoring unit, which monitors the inventory level of materials in real time, a replenishment reminder unit, which issues a replenishment reminder when the inventory is lower than the set threshold, provides real-time inventory level monitoring, ensures the accuracy and timeliness of inventory data, automatically tracks the entry and exit of materials and inventory changes, and can monitor inventory in multiple dimensions such as different material categories and storage locations, allowing users to set inventory thresholds for different materials, and automatically trigger reminders when the inventory is lower than these thresholds. The inventory management module can improve the efficiency and effectiveness of material management, ensure the continuity and stability of material supply, and reduce inventory costs and risks.

[0049] Reference Figure 1-Figure 2,The allocation execution module includes : a task assignment unit that assigns the allocation tasks to the corresponding executors or equipment, an execution monitoring unit that monitors the execution of the allocation tasks, assigns the allocation tasks according to the availability, location and capability of the executors or equipment, identifies the urgency and importance of the tasks, assigns tasks according to priority, notifies relevant personnel or systems to execute the tasks, improves the response speed, and tracks the execution status of the allocation tasks in real time, including the current location and estimated arrival time of the materials. The allocation execution module can ensure the smooth execution of the allocation tasks, improve the efficiency and accuracy of the material allocation, while reducing the operational risks and costs.

[0050] Reference Figure 2 The demand analysis step includes: performing data analysis on the collected material information, predicting material demand based on the data analysis results, organizing the collected material information to ensure data consistency and accuracy, and using data analysis tools and algorithms to conduct in-depth analysis on the organized data to identify material usage patterns, consumption rates and related trends. The demand analysis module can provide accurate material demand forecasts for the material adjustment system, help organizations make more scientific allocation decisions, optimize resource allocation, reduce inventory costs, and improve response speed.

[0051] Reference Figure 2 The allocation steps include: formulating the optimal allocation plan using an optimization algorithm based on the demand analysis results and inventory conditions, making allocation decisions based on the results of the optimization algorithm, collecting and analyzing the prediction results of the demand analysis module and the current inventory data of the inventory management module, and formulating an allocation plan using an optimization algorithm (such as linear programming, integer programming, heuristic algorithm, etc.), considering factors such as cost, time, and resource constraints. The allocation module can ensure the efficiency, economy, and adaptability of the material allocation process, meet the material needs in different situations, and reduce costs and risks.

[0052] Reference Figure 2 ,The inventory management steps include real-time monitoring of material inventory levels, issuing ,replenishment reminders when the inventory is below the set threshold, and using ,the inventory monitoring unit to continuously track the inventory levels of materials to ensure an ,accurate understanding of the current inventory situation. ,The inventory management module can ensure the continuity and reliability of the supply of materials, while optimizing ,the inventory levels, reducing backlogs and surpluses, and improving the overall inventory management efficiency.

[0053] Working principle: The data analysis unit automatically processes a large amount of collected material information, avoiding the tediousness and errors of manual analysis and improving efficiency. The data analysis unit supports a variety of data processing capabilities, such as data mining, predictive analysis and machine learning, to cope with different analysis tasks. The data analysis unit of the demand analysis module can provide strong data support for material management. The optimization algorithm unit can automatically receive demand analysis results and real-time inventory data, and use efficient optimization algorithms (such as linear programming, integer programming, genetic algorithms, etc.) to handle complex allocation problems, while considering multiple goals such as cost, time, and resource utilization to achieve multi-faceted optimization. The decision-making unit makes decisions based on the data analysis results provided by the optimization algorithm unit, provides real-time inventory level monitoring, ensures the accuracy and timeliness of inventory data, and automatically tracks the warehousing, outbound and inventory changes of materials. It can monitor inventory according to different material categories, storage locations and other dimensions, allowing users to set inventory thresholds for different materials. When the inventory is lower than these thresholds, it automatically triggers reminders. The allocation execution module can ensure the smooth execution of allocation tasks, improve the efficiency and accuracy of material allocation, and reduce operational risks and costs.

[0054] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

[0055] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0056] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. An efficient allocation system and method for intelligent material allocation, characterized in that: include: Material information collection module, used to collect relevant information of materials; A demand analysis module, connected to the material information collection module, for analyzing material demand; An allocation module, connected to the demand analysis module, makes material allocation decisions based on demand analysis results; An inventory management module, connected to the transfer module, for managing material inventory; The allocation execution module is connected to the allocation module and is responsible for executing the material allocation task.

2. A TPMS system capable of realizing autonomous configuration as claimed in claim 1, characterized in that: The material information collection module includes at least one of the following: Sensors, used to collect physical information of materials; Manual input equipment, used for manually inputting material information.

3. A TPMS system capable of realizing autonomous configuration as claimed in claim 1, characterized in that: The demand analysis module includes a data analysis unit for analyzing the collected material information.

4. A TPMS system capable of realizing autonomous configuration as claimed in claim 1, characterized in that: The allocation module includes an optimization algorithm unit for formulating an optimal allocation plan based on demand analysis results and inventory conditions, and a decision unit for making an allocation decision based on the results of the optimization algorithm unit.

5. A TPMS system capable of realizing autonomous configuration as claimed in claim 1, characterized in that: The inventory management module includes: an inventory monitoring unit that monitors the inventory level of materials in real time, and a replenishment reminder unit that issues a replenishment reminder when the inventory is below a set threshold.

6. A TPMS system capable of realizing autonomous configuration as claimed in claim 1, characterized in that: The deployment execution module includes: a task allocation unit, which allocates the deployment task to the corresponding execution personnel or equipment, and an execution monitoring unit, which monitors the execution status of the deployment task.

7. An efficient allocation method for intelligent material adjustment as described in claims 1-6, characterized in that: The following steps are involved: - Collect relevant information about materials through the material information collection module; - Analyze material requirements using the demand analysis module; - The allocation module makes material allocation decisions based on demand analysis results; - Inventory management module manages material inventory; - The allocation execution module executes material allocation tasks.

8. A TPMS system capable of realizing autonomous configuration as claimed in claim 7, characterized in that: The demand analysis step includes: performing data analysis on the collected material information and predicting material demand based on the data analysis results.

9. A TPMS system capable of realizing autonomous configuration as claimed in claim 7, characterized in that: The allocation step includes: formulating an optimal allocation plan using an optimization algorithm according to the demand analysis results and inventory conditions, and making an allocation decision according to the results of the optimization algorithm.

10. A TPMS system capable of realizing autonomous configuration as claimed in claim 7, characterized in that: The inventory management step includes: real-time monitoring of material inventory levels, and issuing replenishment reminders when the inventory is below a set threshold.

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