Adaptive material supply control method

Abstract

The present invention provides an adaptive material supply control method, comprising the following steps: S1. Obtaining customer demand for a target product, and determining production kanban information according to the demand for the target product, wherein the production kanban information includes product demand and raw material defective rate, production equipment information, and material transportation equipment information; S2. Real-time acquisition of production equipment and material transportation equipment status information, and judging the current product production status according to the production equipment and material transportation equipment status information; S3. Updating the production kanban information according to the current product production status, and updating the production kanban information according to the updated production kanban information. Through the above method, the material supply can be adaptively adjusted based on the customer's product demand and the status information of the article transportation equipment and production equipment in the production process, and the production kanban information can be dynamically updated, thereby ensuring that the material is in a reasonable state, which not only ensures production volume but also reduces inventory and reduces the production cost of the enterprise.

Description

Technical Field

[0001] The present invention relates to a production control method, in particular to an adaptive material supply control method. Background Art

[0002] Due to the diversified demands of the modern market, the proportion of small-batch production in production operations has gradually increased, which has caused greater difficulties in the preparation and scheduling of production plans, especially for the control of material supply. If the material supply is not arranged reasonably during the production process, on the one hand, insufficient materials will lead to the production of products that cannot meet demand, and on the other hand, excess material supply will lead to increased inventory pressure, thereby increasing the cost of the enterprise.

[0003] Therefore, in order to solve the above technical problems, it is urgent to propose a new technical means. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide an adaptive material supply control method, which can adaptively adjust the supply of materials based on the customer's product needs and the status information of the item transportation equipment and production equipment in the production process, and dynamically update the production board information, so as to ensure that the materials are in a reasonable state, thereby ensuring production volume and reducing inventory, thereby reducing the company's production costs.

[0005] The present invention provides an adaptive material supply control method, comprising the following steps:

[0006] S1. Obtain customer demand for the target product and determine the production kanban information based on the demand for the target product. The production kanban information includes product demand and raw material defective rate, production equipment information, and material transportation equipment information;

[0007] S2. Real-time collection of production equipment and material delivery equipment status information, based on the production equipment and material delivery equipment status information to determine the current product production status;

[0008] S3. Update the production kanban information according to the current product production status, and use the updated production kanban information.

[0009] Furthermore, in step S2, the status information of the production equipment and material transport equipment includes:

[0010] Production equipment status information includes production equipment failure rate and qualified product impact coefficient;

[0011] Material transportation equipment information includes transportation equipment failure rate and material transportation capacity.

[0012] Furthermore, the qualified product impact coefficient is determined by the following method:

[0013] Among them, λ is the qualified product influence coefficient, p maci is the probability that the i-th production equipment in the production line fails but does not stop, a i is the failure weight of the i-th production equipment in the production line, p mat is the inferior quality rate of raw materials, and b is the weight of the inferior quality rate of raw materials.

[0014] Furthermore, the material transport capacity η is determined by the following method:

[0015] η=(1-p agv )·δ agv mQ; where p agv is the probability of failure of the material transport equipment, Q is the amount of material transported by the material transport equipment in a single time, m is the number of material transport equipment, δ agv Plan reasonable indexes for material transportation equipment paths.

[0016] Furthermore, in step S2, judging the current product production status based on the status information of the production equipment and the material transport equipment specifically includes:

[0017] Calculate the qualified rate ratio ε: P QR is the ideal pass rate, P AC is the actual pass rate;

[0018] When the qualified rate ratio ε is greater than the set threshold, the production equipment information is updated;

[0019] Calculate the quantity of qualified products that can be obtained within the production cycle set in the production kanban based on the actual product qualification rate;

[0020] Calculate the amount of raw materials that the production line can obtain within the production cycle set in the production kanban based on the material delivery capacity;

[0021] Determine the raw material consumption based on the number of qualified products. When the raw material consumption exceeds the raw materials available on the production line, update the material transportation equipment information parameters in the production kanban information to increase the material supply.

[0022] When the raw material consumption is less than the raw materials available on the production line, the raw material information and material transport equipment information parameters in the production kanban information are updated.

[0023] The beneficial effects of the present invention are as follows: Through the present invention, the supply of materials can be adaptively adjusted based on the customer's product needs and the status information of the item transportation equipment and production equipment in the production process, and the production board information can be dynamically updated to ensure that the materials are in a reasonable state, thereby ensuring production volume and reducing inventory, thereby reducing the company's production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The present invention will be further described below in conjunction with the accompanying drawings and embodiments:

[0025] Figure 1 Flowchart of the present invention. DETAILED DESCRIPTION

[0026] The present invention is further described in detail below:

[0027] The present invention provides an adaptive material supply control method, comprising the following steps:

[0028] S1. Obtain customer demand for the target product and determine the production kanban information based on the demand for the target product. The production kanban information includes product demand and raw material defective rate, production equipment information, and material transportation equipment information;

[0029] S2. Real-time collection of production equipment and material delivery equipment status information, based on the production equipment and material delivery equipment status information to determine the current product production status;

[0030] S3. Update the production kanban information based on the current product production status, and use the updated production kanban information. This method can adaptively adjust material supply based on customer product demand and the status of item delivery equipment and production equipment during the production process, dynamically updating the production kanban information to ensure that materials are in a reasonable state, thereby ensuring production volume while reducing inventory and lowering the company's production costs.

[0031] In this embodiment, in step S2, the status information of the production equipment and material transport equipment includes:

[0032] Production equipment status information includes production equipment failure rate and qualified product impact coefficient;

[0033] Material transportation equipment information includes transportation equipment failure rate and material transportation capacity.

[0034] The calculation method for the failure rate of production equipment and the failure rate of transportation equipment is the same. First, the basic failure rate P is determined by the existing algorithm. The existing algorithm is used to evaluate the characteristics of different equipment, and then the average failure time t of the equipment is determined. ave , last maintenance time t w And the information collection time t, so:

[0035] Among them, P S is the probability of equipment failure at the current moment, R is the failure coefficient, and T is the time between t and t wThe downtime between the two moments (i.e., the time for maintenance even when the equipment is not faulty) is 0. The failure coefficient R is determined using an existing empirical algorithm based on the equipment's operating years, average failure rate, etc. In this embodiment, the coefficient R of the production equipment is 1.1, and the failure coefficient R of the material transportation equipment is 1.07.

[0036] In this embodiment, the qualified product impact coefficient is determined by the following method:

[0037] Among them, λ is the qualified product influence coefficient, p maci is the probability that the i-th production equipment on the production line fails but does not stop, that is, the equipment can still run production at this time, but the probability of the qualified rate of the product decreases. The reasons for this are, for example, a component failure or a component wears out but still works. At this time, there is no shutdown, a i is the failure weight of the i-th production equipment in the production line, p mat is the inferior product rate of raw materials, b is the weight of inferior product rate of raw materials; i a and b are determined using the historical data of production equipment and the existing improved particle swarm optimization algorithm.

[0038] In this embodiment, the material transport capacity η is determined by the following method:

[0039] η=(1-p agv )·δ agv mQ; where p agv is the probability of failure of the material transport equipment, Q is the amount of material transported by the material transport equipment in a single time, m is the number of material transport equipment, δ agv The rationality index of the material transport equipment path planning is calculated. The material transport capacity reflects the amount of material transported from the warehouse to the production line within a set unit time. It is related to the failure rate and the rationality index of the material transport equipment path planning (generally implemented using existing intelligent guided vehicles). The rationality index of the path planning is related to the distance between the production line and the warehouse entrance and exit, the spatial layout, etc. The determination process is as follows:

[0040] Use cameras to capture images of the spatial layout from the warehouse to the production line and mark obstacles;

[0041] Obtain the shortest distance between the warehouse exit and the production line, ignoring obstacles other than walls.

[0042] Plan the running path between the warehouse exit and the production line, which can avoid all obstacles;

[0043] Calculate the distance of the running path and compare the distance of the running path with the shortest distance:

[0044] This ratio is the rationality index

[0045] When the value is less than 0.85, the transportation trajectory of the intelligent guided vehicle is unreasonable and needs to be replanned.

[0046] In this embodiment, in step S2, judging the current product production status based on the status information of the production equipment and the material transport equipment specifically includes:

[0047] Calculate the qualified rate ratio ε: P QR is the ideal pass rate, P AC is the actual pass rate;

[0048] When the qualified rate ratio ε is greater than the set threshold, the production equipment information is updated; for example, information such as the need for equipment maintenance is updated, and the raw material information is updated, such as the defective rate update, and the raw material quality improvement is carried out regularly;

[0049] Calculate the quantity of qualified products that can be obtained within the production cycle set in the production kanban based on the actual product qualification rate;

[0050] Calculate the amount of raw materials that the production line can obtain within the production cycle set in the production kanban based on the material delivery capacity;

[0051] Determine the raw material consumption based on the number of qualified products. When the raw material consumption exceeds the raw materials available on the production line, update the material transportation equipment information parameters in the production kanban information, such as increasing the investment in material handling equipment and promptly repairing faulty equipment to increase material supply.

[0052] When the raw material consumption is less than the raw materials available on the production line, the raw material information and material transportation equipment information parameters in the production kanban information are updated to reduce material transportation equipment and reduce raw material purchases.

[0053] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An adaptive material supply control method, characterized in that: The following steps are involved: S1. Obtain customer demand for target products, and determine production kanban information based on the demand for target products, the production kanban information including product demand and raw material defective rate, production equipment information and material transportation equipment information; S2. Real-time collection of production equipment and material transportation equipment status information, based on the production equipment and material transportation equipment status information to determine the current product production status; S3. Update the production kanban information according to the current product production status, and update the production kanban information according to the updated production kanban information; In step S2, the status information of production equipment and material transport equipment includes: Production equipment status information includes production equipment failure rate and qualified product impact coefficient; Material transport equipment information includes transport equipment failure rate and material transport capacity; The qualified product impact coefficient is determined by the following method: Among them, λ is the qualified product influence coefficient, p maci is the probability that the i-th production equipment on the production line fails but does not stop, a i is the failure weight of the i-th production equipment in the production line, p mat is the inferior product rate of raw materials, b is the inferior product rate weight of raw materials; The material transport capacity η is determined by the following method: η=(1-p agv )·δ agv mQ; where p agv is the probability of failure of the material transport equipment, Q is the amount of material transported by the material transport equipment in a single time, m is the number of material transport equipment, δ agv The reasonable index of the material transportation equipment path planning is determined as follows: Use cameras to collect spatial layout images from the warehouse to the production line and mark obstacles; Get the shortest distance between the warehouse exit and the production line, which does not consider obstacles other than walls; Plan the running path between the warehouse exit and the production line, which can avoid all obstacles; Calculate the distance of the running path and compare the distance of the running path with the shortest distance: r is the path planning rationality index.

2. The adaptive material supply control method according to claim 1, characterized in that: In step S2, judging the current product production status according to the status information of the production equipment and the material transport equipment specifically includes: Calculate the qualified rate ratio ε: P QR is the ideal pass rate, P AC is the actual pass rate; When the qualified rate ratio ε is greater than the set threshold, the production equipment information is updated; Calculate the quantity of qualified products that can be obtained within the production cycle set in the production kanban based on the actual qualified rate of the products; Calculate the amount of raw materials that the production line can obtain within the production cycle set in the production kanban based on the material delivery capacity; Determine the raw material consumption based on the qualified product quantity. When the raw material consumption is greater than the raw materials available on the production line, update the material transportation equipment information parameters in the production kanban information to increase the material supply. When the raw material consumption is less than the raw materials available on the production line, the raw material information and material transport equipment information parameters in the production kanban information are updated.

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