An Automated Packaging System and Method for Customized Furniture Based on Order Priority Planning

Abstract

This invention discloses an automated packaging system and method for customized furniture based on order priority planning, belonging to the field of customized furniture packaging technology. The system includes a production line control module, a data acquisition module, a database, a model analysis module, and an intelligent scheduling module. The production line control module controls the production line for automated packaging production. The data acquisition module collects production line operation data and feature data. The database stores historical data. The model analysis module analyzes the impact of different packaging production specifications and quantities on the production line's time efficiency. The intelligent scheduling module generates the optimal customized furniture packaging production schedule. This invention prioritizes customized furniture orders based on their production cycle, rationally allocates production timelines, effectively improves packaging production efficiency, and accelerates the overall production pace of customized furniture.

Description

Technical Field

[0001] This invention relates to the field of customized furniture packaging technology, specifically to an automated packaging system and method for customized furniture based on order priority planning. Background Technology

[0002] As the customized home furnishing industry rapidly upgrades to intelligent and flexible production, automated packaging production lines have become a core supporting link in the customized furniture production system. Currently, customized furniture orders are characterized by multiple specifications and differentiation. Mainstream automated packaging production lines generally have basic operational capabilities such as automatic feeding, sealing, and bonding, which can replace the traditional manual packaging mode and significantly improve basic packaging efficiency. Therefore, they are widely used in various large-scale production scenarios of customized furniture.

[0003] However, most existing furniture packaging production scheduling methods rely on fixed production sequences and batch thresholds for specification switching and production arrangement, making it difficult to quantify the coupling impact of different packaging specifications and production quantities on overall working hours. Furthermore, most existing production lines do not use hierarchical scheduling based on order priorities, which can easily lead to delays for high-priority orders and capacity occupation for low-priority orders. The system cannot dynamically match the optimal continuous production batch, resulting in low overall production time efficiency for customized furniture and hindering the intelligent and flexible development of production lines. Summary of the Invention

[0004] The purpose of this invention is to provide a technical solution to solve the problems raised in the prior art.

[0005] To achieve the above objectives, the present invention provides the following technical solution: an automated packaging method for customized furniture based on order priority planning, comprising: Based on the customized furniture packaging specifications, the production line operation is controlled, and production line operation data is collected during the production process; the production line operation data includes the customized furniture packaging specifications produced by the production line, the continuous production quantity of each packaging specification, and the production time. Collect characteristic data of each customized furniture packaging specification during the production and packaging process; the characteristic data includes various characteristic parameters that affect the complexity of packaging production; A database is established to store the production line operation data and characteristic data as historical data; based on the stored historical data, a time efficiency analysis model is established to analyze the impact of different packaging production specifications and production quantities on the production line's time efficiency. The system acquires production orders and production cycles for customized furniture in real time. Based on the established time efficiency analysis model, it generates the optimal production scheduling plan for customized furniture packaging and controls the production line to automate packaging production.

[0006] Furthermore, the method and steps for analyzing the impact of different packaging production specifications and quantities on the production line's production time efficiency are as follows: S1. Retrieve historical production line operation data and historical feature data from the database for analysis. Based on the historical production line operation data, determine the packaging specifications of customized furniture produced on different production lines, and determine the continuous production quantity and production time of each packaging specification on the production line. Based on the historical feature data, determine the set of feature parameters corresponding to each package on the production line for each packaging specification. S2. Based on the set of characteristic parameters corresponding to each package on the production line for each packaging specification, determine the production complexity of each package, and obtain the overall complexity of the production line for each packaging specification, according to the calculation formula: , Among them, F i N represents the overall complexity of the production line for the i-th packaging specification; i f represents the continuous production quantity of packages under the production line of the i-th packaging specification; i,j This represents the production complexity of the j-th package in the production line for the i-th packaging specification; S3. Establish a time efficiency analysis model, using the overall complexity of the production line and the continuous production quantity of packaging as inputs, and the production time of the production line as output. Analyze the impact of different packaging production specifications and quantities on the production time efficiency of the production line, and fit the relationship curves between the overall complexity and the continuous production quantity of packaging on the production time of the production line: , Among them, T z T represents the production time of the production line; T0 represents the baseline production time for a single package; N represents the continuous production quantity of packages; α represents the production learning decay index, 0 < α < 1; T s β represents the baseline time in the production line operation mode; F represents the complexity power amplification factor; and F represents the overall complexity of the production line. S4. Use the historical production line operation data and historical feature data analysis results in S1, and the comprehensive complexity of each packaging specification production line calculated in S2 as training data, and substitute them into the time efficiency analysis model in S3 for training, and determine the values ​​of fitting parameters α and β respectively.

[0007] Furthermore, the method for determining the packaging production complexity is as follows: based on the set of characteristic parameters corresponding to the packaging, determine the parameter value for each characteristic parameter, and calculate the packaging production complexity f based on the parameter value for each characteristic parameter. Among them, w k F represents the influence of the complexity of the k-th feature parameter on the weights. kThis represents the parameter value of the k-th feature parameter; m represents the number of feature parameter types.

[0008] Furthermore, each package has a corresponding packaging number and packaging specifications after production; the method for generating the optimal customized furniture packaging production schedule is as follows: S10. Based on the production orders for customized furniture, determine the set of packaging to be produced for each order, match the set of packaging for each order with different packaging specifications, determine the packaging specifications and corresponding set of feature parameters for each package, and determine the production complexity of each package based on the set of feature parameters corresponding to each package. S20. Determine the production cycle for each order. Based on the time efficiency analysis model, the packaging specifications of each package, and the production complexity, determine the packaging number and packaging specifications corresponding to each package, so as to satisfy the following formula: , in, This represents the production time of production line y; N represents the baseline production time for a single package on production line y; y α represents the number of packages produced continuously on production line y; y This represents the production learning decay index of production line y; F represents the baseline time consumed in the production line's y-mode operation; y β represents the overall complexity of production line y; y f represents the power factor amplification of the complexity of production line y; x,y T represents the production complexity of package number x in production line y; D This indicates the minimum production cycle for a custom furniture production order; This represents the cumulative production time for each package on the production line in a custom furniture production order with the minimum production cycle. S30. Based on the production cycle of each order, prioritize the production of packaging for orders with shorter production cycles, while simultaneously satisfying the conditional formula in S2O, to obtain the optimal customized furniture packaging production scheduling plan.

[0009] Furthermore, the customized furniture packaging is divided into several different packaging specifications, and the packaging specification to which each package belongs is determined according to the packaging characteristic parameters; the production line is used to produce customized furniture packaging and adopts a single-specification continuous operation mode; when the production line produces other specifications of packaging, the operation mode of the production line is switched.

[0010] An automated packaging system for customized furniture based on order priority planning. The system includes a production line control module, a data acquisition module, a database, a model analysis module, and an intelligent order scheduling generation module. The production line control module is used to control the production line to perform automated packaging production; The data acquisition module is used to collect production line operation data and characteristic data of each customized furniture packaging specification during the production and packaging process. The production line operation data includes the customized furniture packaging specifications produced by the production line, the continuous production quantity and production time of each packaging specification. The characteristic data includes various characteristic parameters that affect the complexity of packaging production. The collected production line operation data and characteristic data are sent to the database. The database is used to store the production line operation data and feature data as historical data; The model analysis module is used to establish a time efficiency analysis model based on stored historical data to analyze the impact of different packaging production specifications and production quantities on the production time efficiency of the production line. The intelligent scheduling module is used to obtain the production orders and production cycles of customized furniture in real time, generate the optimal customized furniture packaging production scheduling plan based on the established time efficiency analysis model, and send it to the production line control module.

[0011] Furthermore, a human-computer interaction interface is provided, through which managers can view the generated customized furniture packaging production schedule and determine the production orders and production cycles of each order.

[0012] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: 1. By establishing a time efficiency analysis model, the relationship between packaging production quantity and complexity and the time efficiency of the production line is quantified. The optimal continuous packaging output is matched based on specification differences, effectively reducing the ineffective working hours caused by switching production line operation modes and shortening the overall production time of customized furniture packaging. 2. Prioritizing production based on the production cycle of customized furniture orders, rationally allocating production sequences, assessing the cost of specification switching based on production complexity, and automatically planning the optimal switching sequence, effectively improves packaging production efficiency and accelerates the overall production pace of customized furniture while meeting the cycle requirements of each order, thus avoiding order delays. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating the automated packaging method for customized furniture based on order priority planning according to the present invention. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] The present invention provides the following technical solution: Please see Figure 1 In this first embodiment: the automated packaging method for customized furniture based on order priority planning includes: Based on the customized furniture packaging specifications, the production line operation is controlled, and production line operation data is collected during the production process; the production line operation data includes the customized furniture packaging specifications produced by the production line, the continuous production quantity of each packaging specification, and the production time.

[0016] Furthermore, the customized furniture packaging is divided into several different packaging specifications, and the packaging specification to which each package belongs is determined according to the packaging characteristic parameters; the production line is used to produce customized furniture packaging and adopts a single-specification continuous operation mode; when the production line produces other specifications of packaging, the operation mode of the production line is switched.

[0017] In this embodiment, the packaging specifications for customized furniture include, but are not limited to, cabinet panel packaging, regular door panel packaging, irregular component packaging, drawer component packaging, and hardware packaging; each customized furniture package corresponds to different characteristic parameters; the characteristic parameters include, but are not limited to, size parameters, panel shape parameters, packaging process parameters, and protection level parameters.

[0018] Collect characteristic data of each customized furniture packaging specification during the production and packaging process; the characteristic data includes various characteristic parameters that affect the complexity of packaging production.

[0019] A database is established to store the production line operation data and characteristic data as historical data; based on the stored historical data, a time efficiency analysis model is established to analyze the impact of different packaging production specifications and production quantities on the production line's time efficiency.

[0020] Specifically, the steps for analyzing the impact of different packaging production specifications and quantities on production line time efficiency are as follows: S1. Retrieve historical production line operation data and historical feature data from the database for analysis. Based on the historical production line operation data, determine the packaging specifications of customized furniture produced on different production lines, and determine the continuous production quantity and production time of each packaging specification on the production line. Based on the historical feature data, determine the set of feature parameters corresponding to each package on the production line for each packaging specification. S2. Based on the set of characteristic parameters corresponding to each package on the production line for each packaging specification, determine the production complexity of each package, and obtain the overall complexity of the production line for each packaging specification, according to the calculation formula: , Among them, F i N represents the overall complexity of the production line for the i-th packaging specification; i f represents the continuous production quantity of packages under the production line of the i-th packaging specification; i,j This represents the production complexity of the j-th package in the production line for the i-th packaging specification; S3. Establish a time efficiency analysis model, using the overall complexity of the production line and the continuous production quantity of packaging as inputs, and the production time of the production line as output. Analyze the impact of different packaging production specifications and quantities on the production time efficiency of the production line, and fit the relationship curves between the overall complexity and the continuous production quantity of packaging on the production time of the production line: , Among them, T z T represents the production time of the production line; T0 represents the baseline production time for a single package; N represents the continuous production quantity of packages; α represents the production learning decay index, used to reflect the proficiency improvement effect of the production line, 0 < α < 1; T s β represents the baseline time under the production line operation mode; β represents the complexity power amplification factor, used to reflect the degree of influence of complexity on different production line operation modes; F represents the overall complexity of the production line. S4. Use the historical production line operation data and historical feature data analysis results in S1, and the comprehensive complexity of each packaging specification production line calculated in S2 as training data, and substitute them into the time efficiency analysis model in S3 for training, and determine the values ​​of fitting parameters α and β respectively.

[0021] In this embodiment, a time efficiency analysis model is established, using the historical data analysis results in S1 and the comprehensive complexity calculated in S2 as training data, which are then substituted into the relationship curve in S3. Specifically, based on the customized furniture packaging specifications produced by different production lines, the production line operation mode is determined. The continuous production quantity of each packaging specification on the production line is used as the training parameter N, the comprehensive complexity of the production line for each packaging specification is used as the training parameter F, and the production time on the production line for each packaging specification is used as T. z The training parameters are substituted into the relationship curves for fitting, and the values ​​of fitting parameters α and β are determined according to the least squares method. Among them, the production time of the production line and the benchmark time under the production line operation mode are directly determined by the management personnel based on historical production line operation data and historical characteristic data combined with on-site experience.

[0022] It should be noted that the fitting parameters α and β are different for different production line operation modes.

[0023] It should be noted that by establishing a time efficiency analysis model, the relationship between the quantity and complexity of packaging production and the time efficiency of the production line was quantified. Based on the differences in specifications, the optimal continuous output of packaging was matched, which effectively reduced the invalid working hours caused by the switching of production line operation modes and shortened the overall production time of customized furniture packaging.

[0024] Specifically, the method for determining the packaging production complexity is as follows: Based on the set of characteristic parameters corresponding to the packaging, determine the parameter value for each characteristic parameter, and calculate the packaging production complexity f based on the parameter value for each characteristic parameter. Among them, w k F represents the influence of the complexity of the k-th feature parameter on the weights. k This represents the parameter value of the k-th feature parameter; m represents the number of feature parameter types.

[0025] In this embodiment, the complexity of the feature parameters affects the weight w. k It is determined directly by management personnel based on historical production line operation data and historical characteristic data, combined with on-site experience.

[0026] The system acquires production orders and production cycles for customized furniture in real time. Based on the established time efficiency analysis model, it generates the optimal production scheduling plan for customized furniture packaging and controls the production line to automate packaging production.

[0027] Specifically, each package has a corresponding package number and packaging specifications after production; the steps for generating the optimal customized furniture packaging production schedule are as follows: S10. Based on the production orders for customized furniture, determine the set of packaging to be produced for each order, match the set of packaging for each order with different packaging specifications, determine the packaging specifications and corresponding set of feature parameters for each package, and determine the production complexity of each package based on the set of feature parameters corresponding to each package. S20. Determine the production cycle for each order. Based on the time efficiency analysis model, the packaging specifications of each package, and the production complexity, determine the packaging number and packaging specifications corresponding to each package, so as to satisfy the following formula: , in, This represents the production time of production line y; N represents the baseline production time for a single package on production line y; y α represents the number of packages produced continuously on production line y; y This represents the production learning decay index of production line y; F represents the baseline time consumed in the production line's y-mode operation; y β represents the overall complexity of production line y; y f represents the power factor amplification of the complexity of production line y; x,y T represents the production complexity of package number x in production line y; D This indicates the minimum production cycle for a custom furniture production order; This represents the cumulative production time for each package on the production line in a custom furniture production order with the minimum production cycle. S30. Based on the production cycle of each order, prioritize the production of packaging for orders with shorter production cycles, while simultaneously satisfying the conditional formula in S2O, to obtain the optimal customized furniture packaging production scheduling plan.

[0028] In this embodiment, after the production line finishes production, the customized furniture is sorted and packaged according to the production orders, and then the packaged customized furniture is transferred to the loading area for shipment.

[0029] It should be noted that by prioritizing production based on the production cycle of customized furniture orders, the production sequence is rationally allocated, and the optimal switching order is automatically planned by using a time efficiency analysis model combined with the cost of specification switching based on production complexity assessment. Under the premise of meeting the cycle of each order, packaging production efficiency is effectively improved, the overall production pace of customized furniture is accelerated, and order delays are avoided.

[0030] In this second embodiment: a customized furniture automated packaging system based on order priority planning is provided. The system includes a production line control module, a data acquisition module, a database, a model analysis module, and a scheduling scheme intelligent generation module. The production line control module is used to control the production line to perform automated packaging production; The data acquisition module is used to collect production line operation data and characteristic data of each customized furniture packaging specification during the production and packaging process. The production line operation data includes the customized furniture packaging specifications produced by the production line, the continuous production quantity and production time of each packaging specification. The characteristic data includes various characteristic parameters that affect the complexity of packaging production. The collected production line operation data and characteristic data are sent to the database. The database is used to store the production line operation data and feature data as historical data; The model analysis module is used to establish a time efficiency analysis model based on stored historical data to analyze the impact of different packaging production specifications and production quantities on the production time efficiency of the production line. The intelligent scheduling module is used to obtain the production orders and production cycles of customized furniture in real time, generate the optimal customized furniture packaging production scheduling plan based on the established time efficiency analysis model, and send it to the production line control module.

[0031] Furthermore, a human-computer interaction interface is provided, through which managers can view the generated customized furniture packaging production schedule and determine the production orders and production cycles of each order.

[0032] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A customized furniture automated packaging method based on order priority planning, characterized by: include: Control the production line operation according to the customized furniture packaging specifications, and collect production line operation data during the production process; The production line operation data includes the specifications of customized furniture packaging produced by the production line, the continuous production quantity of each packaging specification, and the production time. Collect characteristic data of various customized furniture packaging specifications during the production and packaging process; The feature data includes various feature parameters that affect the complexity of packaging production; A database is established to store the production line operation data and characteristic data as historical data; based on the stored historical data, a time efficiency analysis model is established to analyze the impact of different packaging production specifications and production quantities on the production line's time efficiency. The system acquires production orders and production cycles for customized furniture in real time. Based on the established time efficiency analysis model, it generates the optimal production scheduling plan for customized furniture packaging and controls the production line to automate packaging production.

2. The customized furniture automated packaging method based on order priority planning as claimed in claim 1 wherein: The steps for analyzing the impact of different packaging production specifications and quantities on production line time efficiency are as follows: S1. Retrieve historical production line operation data and historical feature data from the database for analysis. Based on the historical production line operation data, determine the packaging specifications of customized furniture produced on different production lines, and determine the continuous production quantity and production time of each packaging specification on the production line. Based on the historical feature data, determine the set of feature parameters corresponding to each package on the production line for each packaging specification. S2. Based on the set of characteristic parameters corresponding to each package on the production line for each packaging specification, determine the production complexity of each package, and obtain the overall complexity of the production line for each packaging specification, according to the calculation formula: ， Wherein, F i represents the comprehensive complexity of the i-th packaging specification production line; N i represents the continuous production quantity of the packaging under the i-th packaging specification production line; f i,j represents the production complexity of the j-th packaging in the i-th packaging specification production line; S3. Establish a time efficiency analysis model, using the overall complexity of the production line and the continuous production quantity of packaging as inputs, and the production time of the production line as output. Analyze the impact of different packaging production specifications and quantities on the production time efficiency of the production line, and fit the relationship curves between the overall complexity and the continuous production quantity of packaging on the production time of the production line: ， wherein T z represents the production time of the production line; T0represents the reference production time of a single package; N represents the number of continuous production of packages; a represents a production learning decay index, 0 < a < 1; T s represents the reference time of the production line in the operation mode; b represents a complexity power amplification coefficient; F represents the comprehensive complexity of the production line; S4. Use the historical production line operation data and historical feature data analysis results in S1, and the comprehensive complexity of each packaging specification production line calculated in S2 as training data, and substitute them into the time efficiency analysis model in S3 for training, and determine the values ​​of fitting parameters α and β respectively.

3. The custom furniture automated packaging method based on order priority planning as claimed in claim 2, wherein: The method for determining the packaging production complexity is: according to a corresponding characteristic parameter set of the packaging, determining a parameter value of each characteristic parameter, and calculating the packaging production complexity f according to the parameter value of each characteristic parameter: ; wherein w k represents the complexity influence weight of the kth characteristic parameter; F k represents the parameter value of the kth characteristic parameter; and m represents the number of characteristic parameters.

4. The customized furniture automated packaging method based on order priority planning as claimed in claim 2, wherein: Each package has a corresponding package number and packaging specifications after production; the steps to generate the optimal customized furniture packaging production schedule are as follows: S10. Based on the production orders for customized furniture, determine the set of packaging to be produced for each order, match the set of packaging for each order with different packaging specifications, determine the packaging specifications and corresponding set of feature parameters for each package, and determine the production complexity of each package based on the set of feature parameters corresponding to each package. S20. Determine the production cycle for each order. Based on the time efficiency analysis model, the packaging specifications of each package, and the production complexity, determine the packaging number and packaging specifications corresponding to each package, so as to satisfy the following formula: ， in, This represents the production time of production line y; N represents the baseline production time for a single package on production line y; y α represents the number of packages produced continuously on production line y; y This represents the production learning decay index of production line y; F represents the baseline time consumed in the production line's y-mode operation; y β represents the overall complexity of production line y; y f represents the power factor amplification of the complexity of production line y; x,y T represents the production complexity of package number x in production line y; D This indicates the minimum production cycle for a custom furniture production order; This represents the cumulative production time for each package on the production line in a custom furniture production order with the minimum production cycle. S30. Based on the production cycle of each order, prioritize the production of packaging for orders with shorter production cycles, while simultaneously satisfying the conditional formula in S2O, to obtain the optimal customized furniture packaging production scheduling plan.

5. The custom furniture automated packaging method based on order priority planning according to any one of claims 1-4, characterized in that: Customized furniture packaging is divided into several different packaging specifications. Based on packaging characteristic parameters, the packaging specification to which each package belongs is determined. The production line is used to produce customized furniture packaging and adopts a single-specification continuous operation mode. When the production line produces other packaging specifications, the production line's operating mode is switched.

6. Custom furniture automated packaging system based on order priority planning characterized by: The system includes a production line control module, a data acquisition module, a database, a model analysis module, and a scheduling plan intelligent generation module; The production line control module is used to control the production line to perform automated packaging production; The data acquisition module is used to collect production line operation data and characteristic data of each customized furniture packaging specification during the production and packaging process. The production line operation data includes the specifications of customized furniture packaging produced by the production line, the continuous production quantity of each packaging specification, and the production time; the feature data includes various feature parameters that affect the complexity of packaging production. The collected production line operation data and feature data are sent to the database; The database is used to store the production line operation data and feature data as historical data; The model analysis module is used to establish a time efficiency analysis model based on stored historical data to analyze the impact of different packaging production specifications and production quantities on the production time efficiency of the production line. The intelligent scheduling module is used to obtain the production orders and production cycles of customized furniture in real time, generate the optimal customized furniture packaging production scheduling plan based on the established time efficiency analysis model, and send it to the production line control module.

7. The order priority schedule based custom furniture automated packaging system of claim 6, wherein: It provides a human-computer interaction interface, through which managers can view the generated customized furniture packaging production schedule and determine the production orders and production cycles of each order.

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