A cold rolling mill group automatic scheduling method based on service label comprehensive score

Abstract

The application discloses a cold rolling unit automatic scheduling method based on business label comprehensive score, which comprises the following steps: 1) customizing and identifying materials, and attaching a plurality of business labels to the materials; 2) setting a comprehensive score calculation method based on cold rolling finishing rules, setting addition and multiplication two kinds of assignment methods according to the types of business labels to calculate the final score, and setting different assignments on different units to realize the score sequence of all materials on each unit; 3) setting the cold rolling scheduling volume of each unit according to the daily output of each unit, so as to form the planned quantity range of scheduling in automatic scheduling; 4) starting batch jobs at regular time, and automatically issuing plans according to the set batch job rules. The application uses a label rule model to place corresponding business labels on each dimension object in business management. Business parties reflect the boundary factors and dimensions considered in business experience through carding of the labels, and also ensure continuous improvement of the subsequent finishing scheduling model, so that different business scenarios and demands can be met.

Description

Technical Field

[0001] This invention relates to the field of business rule digitization, and in particular to an automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags. Background Technology

[0002] Steel production is a long process, and different products follow different main process paths. However, any product with high quality control requirements needs to pass through a final cold rolling finishing unit. This is especially true for products with high surface finish requirements, which often require a cold rolling finishing unit to ensure sheet shape and quality. Therefore, steel companies primarily producing automotive and appliance steel typically have a large number of cold rolling finishing units. The cold rolling finishing unit not only performs functions such as edge trimming, oiling, tension leveling, slitting, and cutting, but also serves for product inspection and rework. Although the cold rolling finishing unit does not affect product performance as much as continuous process units, as the final production step, ensuring on-time contract delivery and timely production of rework materials are all issues that need to be considered, while meeting the unit's production specifications.

[0003] Cold rolling finishing lines are often insignificant in the overall steel production process. Therefore, when designing contract production lines, a fuzzy unit model is typically used for finishing in the same area, meaning that specific finishing production unit numbers are not designated. Specific plans are manually assigned to the units during the planning and issuance of the production plan. With multiple finishing production lines, scheduling must consider how to achieve a reasonable division of labor among the units, ensure stable production, reduce changeovers, and increase finishing output to ensure contract completion. Simultaneously, numerous factors such as contract delivery dates, material inventory time, and production times of other material-requiring units are intertwined, making it increasingly difficult for humans to consider all these factors and arrive at a relatively reasonable sequence. A model is needed to automatically calculate the division of labor and production sequence for the contract.

[0004] Among existing related technologies, for example, patent application number 202311607957.8 discloses an advanced scheduling method based on production planning, relating to the field of production scheduling technology. This method includes the following steps: identifying potential bottleneck resources among existing resources and building a model for these potential bottleneck resources; acquiring basic data for product production scheduling, extracting usable data from the basic data, and having decision-makers establish a production status; inputting the usable data into the model to generate a production schedule for the given production status; approving the production status and updating and / or executing the production schedule.

[0005] The above technical solutions can reduce production scheduling time, shorten production and sales coordination meeting time, provide immediate rescheduling function when customers place orders or order changes, control capacity and materials, make complex manufacturing management transparent, and predict future capacity status and long-term material procurement.

[0006] However, the model in the above solution is defined only by the associated data and does not consider boundary factors and dimensions, resulting in insufficient versatility and inability to meet different business scenarios and needs.

[0007] Therefore, it is necessary to improve existing technologies to overcome the aforementioned shortcomings. Summary of the Invention

[0008] The purpose of this invention is to provide an automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags. By converting multi-dimensional business category requirements into a one-dimensional comprehensive scoring calculation method for specific mills, the automatic scheduling of cold rolling finishing mills can be achieved, meeting normal production needs, enabling unattended planning, and satisfying reasonable production line division of labor and planned production sequence.

[0009] The above-mentioned technical objective of the present invention is achieved through the following technical solution:

[0010] An automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags includes the following steps:

[0011] 1) Customize the identification materials and attach several business labels to them;

[0012] 2) Based on the cold rolling finishing rules, a comprehensive score calculation method is set. According to the type of business label, two assignment methods, addition and multiplication, are set to calculate the final score. Different assignments are set on different units to realize the scoring order of all materials on each unit.

[0013] 3) Based on the daily output of each unit, set the cold rolling schedule volume for each unit to form the planned quantity range for automatic scheduling.

[0014] 4) Start batch operations on a set schedule and automatically distribute plans according to the set batch operation rules.

[0015] The specific process of step 1) is as follows:

[0016] Further, in step 1.1), the rule number of the business tag is set to correspond one-to-one with the priority model rule number in the cold rolling finishing rule;

[0017] Definition of rule number for cold rolling finishing rules: The rule number of the cold rolling finishing rules includes type and serial number. Based on the business perspective, design the required label attributes and set a general label for all materials to lay the foundation for the subsequent priority model setting of labels.

[0018] Step 1.2) Set dynamic tags, and set dynamic tags to update periodically.

[0019] Furthermore, the specific process of step 2) is as follows:

[0020] Step 2.1) Construct a decision-making hierarchy

[0021] Based on the tag attributes and objectives, a hierarchical decision-making structure is constructed according to the objective layer, material production criteria layer, unit preference criteria layer, and scheme layer; where L is the set of all tags corresponding to the material, L A Let k and L represent the set of material production criterion labels and their cardinality, respectively. M Let j be the set of crew preference criterion labels and its cardinality, and P be the set of labels. i p represents the ranking of materials in the cold rolling finishing mill, where p is the number of cold rolling finishing mills;

[0022] L = L A ∪L M

[0023]

[0024] L Ai ∈L A L Mi ∈L M ;

[0025] Step 2.2) Material production criteria calculation

[0026] For the material production criteria labels, a weight value is assigned to each unit. The material production criteria score for a given material is calculated by summing the weights of each label, as follows:

[0027]

[0028] Among them, S Ai For criterion L Ai Corresponding weight values;

[0029] Step 2.3) Calculation of Unit Preference Criterion Coefficients

[0030] For each group preference criterion label, a coefficient is set for each unit. For a given material, the corresponding unit preference criterion coefficient is calculated by multiplying the coefficients of each label as follows:

[0031]

[0032] Among them, S Miu For criterion L Mi The coefficient corresponding to unit u;

[0033] Step 2.4) Calculation of Scheme Score

[0034] The material score for the corresponding unit scheme is calculated by multiplying the material production criterion score by the unit preference criterion coefficient:

[0035] S u =S LMu *SLA

[0036] Step 2.5) Score Evaluation

[0037] When scheduling begins, each material is assigned a score to the available units. Then, each unit ranks these materials according to their scores, thus obtaining the planning order for that unit.

[0038] Furthermore, the specific process of step 3) is as follows:

[0039] Step 3.1) Set the single-trip plan quantity

[0040] The output of a single planned quantity is set to the maximum output of the unit in a single shift. The output of the single planned quantity and the previous planned inventory must meet the production needs of the shift.

[0041] Step 3.2) Set the minimum planned quantity

[0042] The minimum planned quantity refers to the value at which scheduling is initiated when the planned inventory of the current cold rolling finishing unit is less than the specified value. In this case, only the plan for the current unit is output. The design value of the minimum planned quantity is slightly less than the unit's single-shift output.

[0043] In summary, the present invention has the following beneficial effects:

[0044] 1) By utilizing a tag-based rule model, objects across various dimensions of business management are assigned corresponding business tags. Through the organization of these tags, business stakeholders can demonstrate the continuous refinement of boundary factors and dimensions considered in their business experience, ensuring the ongoing improvement of the subsequent refined scheduling model to meet diverse business scenarios and needs.

[0045] 2) In the multi-dimensional comprehensive score calculation process formed by multiple factors, additive calculation is more biased towards the urgency of material production, while multiplicative calculation is more biased towards the preference of this type for a particular unit. Since a material may be assigned multiple tags, the total calculation transforms multiple factors into a one-dimensional total score. This effectively outputs the final production sequence of materials on each unit. The priority determined by scientific calculation is more comprehensive and reasonable than considering several factors individually, resulting in a better solution.

[0046] 3) As product processes or new requirements increase, users can add custom tags and set relevant scores according to business needs to meet the ever-evolving scheduling business requirements.

[0047] This invention significantly improves scheduling efficiency and reduces human resource input. It enables only one person to balance and coordinate the relevant logistics organization in the entire finishing area, and the planning can be basically completed automatically by the model, resulting in more reasonable planning and smoother production. Attached Figure Description

[0048] Figure 1 This is a schematic diagram of the decision-making hierarchy structure described in this invention.

[0049] Figure 2 This is a flowchart of the automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags, as described in this invention.

[0050] Figure 3 This is a schematic diagram of the business tag score algorithm table described in this invention. Detailed Implementation

[0051] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to the figures and specific embodiments.

[0052] like Figure 2 As shown, the present invention proposes an automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags, which includes the following steps:

[0053] 1) Customize the identification materials and attach several business labels to them;

[0054] 2) Based on the cold rolling finishing rules, a comprehensive score calculation method is set. According to the type of business label, two assignment methods, addition and multiplication, are set to calculate the final score. Different assignments are set on different units to realize the scoring order of all materials on each unit.

[0055] 3) Based on the daily output of each unit, set the cold rolling schedule volume for each unit to form the planned quantity range for automatic scheduling.

[0056] 4) Start batch operations on a set schedule and automatically distribute plans according to the set batch operation rules.

[0057] The specific process of step 1) is as follows:

[0058] Step 1.1) Set the rule number of the business tag to correspond one-to-one with the priority model rule number in the cold rolling finishing rule;

[0059] The rule number definition of the cold rolling finishing rule is as shown in the table below. The rule number of the cold rolling finishing rule includes type and serial number. Based on the business perspective, the required label attributes are designed, and a general label is set for all materials to lay the foundation for the subsequent label priority model setting.

[0060]

[0061]

[0062] Step 1.2) Set dynamic tags, and set dynamic tags to update periodically.

[0063] The specific process of step 2) is as follows:

[0064] Step 2.1) Construct a decision-making hierarchy

[0065] See Figure 1 Based on the tag attributes and objectives, a hierarchical decision-making structure is constructed according to the objective layer, material production criteria layer, unit preference criteria layer, and scheme layer; where L is the set of all tags corresponding to the material, L A Let k and L represent the set of material production criterion labels and their cardinality, respectively. M Let j be the set of crew preference criterion labels and its cardinality, and P be the set of labels. i p represents the ranking of materials in the cold rolling finishing mill, where p is the number of cold rolling finishing mills;

[0066] L = L A ∪L M

[0067]

[0068] L Ai ∈L A L Mi ∈L M ;

[0069] Step 2.2) Material production criteria calculation

[0070] For the material production criteria labels, a weight value is assigned to each unit. The material production criteria score for a given material is calculated by summing the weights of each label, as follows:

[0071]

[0072] Among them, S Ai For criterion L Ai Corresponding weight values;

[0073] Step 2.3) Calculation of Unit Preference Criterion Coefficients

[0074] For each group preference criterion label, a coefficient is set for each unit. For a given material, the corresponding unit preference criterion coefficient is calculated by multiplying the coefficients of each label as follows:

[0075]

[0076] Among them, S Miu For criterion L Mi The coefficient corresponding to unit u;

[0077] Step 2.4) Calculation of Scheme Score

[0078] The material score for the corresponding unit scheme is calculated by multiplying the material production criterion score by the unit preference criterion coefficient:

[0079] S u =S LMu *S LA

[0080] Step 2.5) Score Evaluation

[0081] When scheduling begins, each material is assigned a score to the available units. Then, each unit ranks these materials according to their scores, thus obtaining the planning order for that unit.

[0082] The specific process of step 3) is as follows:

[0083] Step 3.1) Set the single-trip plan quantity

[0084] The output of a single planned quantity is set to the maximum output of the unit in a single shift. The output of the single planned quantity and the previous planned inventory must meet the production needs of the shift.

[0085] Step 3.2) Set the minimum planned quantity

[0086] The minimum planned quantity refers to the value at which scheduling is initiated when the planned inventory of the current cold rolling finishing unit is less than the specified value. In this case, only the plan for the current unit is output. The design value of the minimum planned quantity is slightly less than the unit's single-shift output.

[0087] This invention is based on the digitization of business experience. Through multidimensional addition and multiplication operations, the materials are formed into a comparable one-dimensional score under the rules of multidimensional business perspective to participate in the final scheduling.

[0088] To address the various factors that need to be identified during manual scheduling, such as delivery time, rework, painting, and inventory time, this invention uses a business tag model to automatically identify the relevant dimensions and factors considered during manual scheduling and to mark materials that meet the criteria accordingly.

[0089] For the division of labor among similar cold rolling finishing units, this invention realizes the production preference of each unit for different products through the calculation method of "multiplication coefficient". For example, some products can only be produced in a fixed unit and cannot be produced in other units, then the coefficient of other units is 0.

[0090] For the comprehensive scoring calculation of the planning and scheduling of cold rolling finishing units, this invention uses a "score-adding" method to add points to each relevant planning and scheduling factor dimension, and finally achieves a reasonable priority output result.

[0091] Example

[0092] Taking the implementation of automatic scheduling in the cold rolling finishing unit of a steel enterprise as an example, the specific implementation process is as follows:

[0093] 1. In the existing MES system planning module, set up a business tag model to obtain the corresponding business tags for pre-finishing warehouse materials.

[0094] 2. Set up the score allocation table, see details. Figure 3 .

[0095] 3. Material Score Calculation. Based on the label attributes on the materials, read the score allocation table, and sum them up using the "add first, then multiply" method to obtain the score for each unit.

[0096] 4. Set up a batch processing schedule to periodically start distributing materials that meet the criteria, according to the material order and planned quantity.

[0097] In this document, the terms "upper," "lower," "front," "back," "left," "right," "top," "bottom," "inner," "outer," "vertical," and "horizontal," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only used for the clarity of expressing the technical solution and for the convenience of description, and therefore should not be construed as limiting the present invention.

[0098] In this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, which includes not only the elements listed but also other elements not expressly listed.

[0099] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. An automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags, characterized in that, Includes the following steps: 1) Customize the identification materials and attach several business labels to them; 2) Based on the cold rolling finishing rules, a comprehensive score calculation method is set. According to the type of business label, two assignment methods, addition and multiplication, are set to calculate the final score. Different assignments are set on different units to realize the scoring order of all materials on each unit. 3) Based on the daily output of each unit, set the cold rolling schedule volume for each unit to form the planned quantity range for automatic scheduling. 4) Start batch operations on a set schedule and automatically distribute plans according to the set batch operation rules.

2. The automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags according to claim 1, characterized in that, The specific process of step 1) is as follows: Step 1.1) Set the rule number of the business tag to correspond one-to-one with the priority model rule number in the cold rolling finishing rule; Definition of rule number for cold rolling finishing rules: The rule number of the cold rolling finishing rules includes type and serial number. Based on the business perspective, design the required label attributes and set a general label for all materials to lay the foundation for the subsequent priority model setting of labels. Step 1.2) Set dynamic tags, and set dynamic tags to update periodically.

3. The automatic scheduling method for cold rolling mills based on comprehensive business tag scoring according to claim 1, characterized in that, The specific process of step 2) is as follows: Step 2.1) Construct a decision-making hierarchy Based on the tag attributes and objectives, a hierarchical decision-making structure is constructed according to the objective layer, material production criteria layer, unit preference criteria layer, and scheme layer; where L is the set of all tags corresponding to the material, L A Let k and L represent the set of material production criterion labels and their cardinality, respectively. M Let j be the set of crew preference criterion labels and its cardinality, and P be the set of labels. i p represents the ranking of materials in the cold rolling finishing mill, where p is the number of cold rolling finishing mills; L=L A ∪L M L Ai ∈L A ,L Mi ∈L M ; Step 2.2) Material production criteria calculation For the material production criteria labels, a weight value is assigned to each unit. The material production criteria score for a given material is calculated by summing the weights of each label, as follows: Among them, S Ai For criterion L Ai Corresponding weight values; Step 2.3) Calculation of Unit Preference Criterion Coefficients For each group preference criterion label, a coefficient is set for each unit. For a given material, the corresponding unit preference criterion coefficient is calculated by multiplying the coefficients of each label as follows: Among them, S Miu For criterion L Mi The coefficient corresponding to unit u; Step 2.4) Calculation of Scheme Score The material score for the corresponding unit scheme is calculated by multiplying the material production criterion score by the unit preference criterion coefficient: S u =S LMu *S LA Step 2.5) Score Evaluation When scheduling begins, each material is assigned a score to the available units. Then, each unit ranks these materials according to their scores, thus obtaining the planning order for that unit.

4. The automatic scheduling method for cold rolling mills based on comprehensive scoring of business tags according to claim 1, characterized in that, The specific process of step 3) is as follows: Step 3.1) Set the single-trip plan quantity The output of a single planned quantity is set to the maximum output of the unit in a single shift. The output of the single planned quantity and the previous planned inventory must meet the production needs of the shift. Step 3.2) Set the minimum planned quantity The minimum planned quantity refers to the value at which scheduling is initiated when the planned inventory of the current cold rolling finishing unit is less than the specified value. In this case, only the plan for the current unit is output. The design value of the minimum planned quantity is slightly less than the unit's single-shift output.

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