High loading rate cigarette multiple regular sorting logistics management method

Abstract

The present application relates to the technical field of tobacco commercial logistics sorting, in particular to a high-loading-rate cigarette multiple regular sorting logistics management method, comprising the following steps: S1, sorting order preprocessing and basic management parameter configuration; S2, executing single-line one-way extraction rules to identify fine-mark line scattered remainder orders; S3, based on double-line capacity balancing extraction amount threshold management; S4, setting product specification priority to execute hierarchical extraction; S5, combining product specification distribution to adapt to special line warehouse capacity; S6, special line real-time co-line package sorting; the present application initiates the multiple regular sorting link to completely sink to the sorting logistics end, without changing the ordering system and limiting the ordering freedom of retailers, and only through the sorting scheduling management and control logic and double-line capacity coordination, the full-quantity order plastic package multiple can be realized, which realizes a revolutionary innovation in the technical path, meets the market ordering flexibility, achieves the logistics end cost reduction and efficiency improvement target, and has outstanding novelty and creativity.

Description

Technical Field

[0001] This invention relates to the field of tobacco commercial logistics sorting technology, specifically a method for logistics control of high-load-rate cigarette multiple-order sorting. Background Technology

[0002] Cigarette logistics and distribution is a core link in the tobacco commercial distribution system. Plastic packaging sorting is currently the mainstream sorting model for cartons of cigarettes in the industry. The neatness of the stacked cigarette packs after plastic packaging directly determines stacking efficiency, vehicle loading rate, and transportation damage rate, making it a core control indicator for cost reduction, efficiency improvement, and green distribution in tobacco logistics. With the advancement of market-oriented reforms, retailers have increasingly greater freedom in ordering, leading to more fragmented and randomized order quantities for cartons of cigarettes, posing significant challenges to the neatness of plastic packaging sorting and delivery loading efficiency.

[0003] Current industry solutions for improving the neatness of cigarette packaging and sorting control models suffer from four major flaws:

[0004] 1. The current mainstream approach to improving neatness is to require retailers to order in multiples of 5 or 4 items to ensure consistent quantities from the source of orders. This model severely restricts retailers' autonomy in ordering, is inconsistent with the direction of market-oriented reforms, results in low customer satisfaction, and is difficult to implement across the entire region. Furthermore, it requires revamping the ordering system and adjusting sales strategies, leading to high front-end operational costs and significant obstacles to implementation.

[0005] 2. Traditional sorting systems directly sort and package cigarettes based on the original order quantity. Orders often have random quantities of cigarettes, with a high proportion of loose orders containing less than 5 standard cigarettes or 4 slim cigarettes. This results in uneven stacks with protruding edges after packaging, making tight stacking impossible. Actual test data shows that under this irregular packaging model, the neatness rate of cigarette packs is only about 36%, and the actual loading capacity of vehicles is only 71% of the theoretical loading capacity. This leads to a significant waste of vehicle space, redundant delivery trips, and high fuel and labor costs. Furthermore, irregularly shaped cigarette packs are prone to sliding, squeezing, and collisions during transportation, resulting in a high rate of cigarette breakage.

[0006] 3. Most municipal-level tobacco logistics centers are equipped with two production lines: a main sorting line for fine-label cigarettes and a sorting line for non-standard cigarettes. Fine-label cigarettes have a large order volume and heavy sorting workload, with an average daily sorting time of 7-9 hours, and peak days even exceeding 12 hours. Non-standard cigarettes have a small order volume, with an average daily sorting time of only about 4 hours, resulting in a large amount of idle equipment capacity. Existing technology lacks a reasonable order diversion and collaborative management mechanism, which cannot effectively divert scattered orders from the fine-label line to the non-standard cigarette line, resulting in a capacity imbalance of "main line overloaded, auxiliary line idle," and the overall sorting efficiency cannot be maximized.

[0007] 4. Some logistics centers attempted to manually sort scattered orders, but lacked systematic extraction rules, product priority, warehouse capacity matching, and package consolidation logic control: incompatibility between extracted product specifications and the non-standard cigarette warehouse led to sorting failures; uncontrolled extraction volume caused the non-standard line to be overloaded and sorting time to be uncontrollable; chaotic package consolidation logic led to the packaging of cigarettes from the same order in batches, resulting in order consolidation failures, stacking and rework, etc., which reduced sorting efficiency and made it impossible to land stably.

[0008] There is currently no systematic management method in the industry that can fully achieve multiple-fold regularization in the sorting and logistics process without altering the front-end sales system, while simultaneously ensuring balanced production capacity across both production lines, warehouse location adaptation, and 100% package completion rate. Existing technologies either sacrifice front-end sales flexibility or lack end-to-end management rules, failing to simultaneously meet the four core requirements of high package neatness, high sorting efficiency, high operational stability, and low modification costs, thus creating a significant technological gap. Therefore, this paper proposes a high-load-rate cigarette multiple-fold regularization sorting and logistics management method. Summary of the Invention

[0009] In view of this, the present invention provides a high-loading-rate cigarette multiple-ordering sorting logistics control method to solve or alleviate the technical problems existing in the prior art, and at least provides a beneficial option.

[0010] The technical solution of this invention is implemented as follows: a high-loading-rate cigarette multiple-ordering and sorting logistics control method, comprising the following steps:

[0011] S1 sorting order preprocessing and basic control parameter configuration;

[0012] S2 executes a single-line, unidirectional extraction rule to identify orders with scattered remainders at fine markings;

[0013] S3 is based on the extraction quantity threshold control of dual-line capacity balancing;

[0014] S4 sets the priority of product specifications and performs tiered extraction;

[0015] S5 combination specifications are allocated to adapt to the capacity of non-standard line storage space;

[0016] S6 irregular-shaped line real-time co-line combined packaging and sorting;

[0017] S7 sorting process dynamic monitoring and parameter fine-tuning;

[0018] S8 performance review and iterative optimization of control parameters;

[0019] By extracting order surpluses at the sorting end and coordinating sorting on both lines, we can achieve 5 times the number of standard cigarettes and 4 times the number of slim cigarettes in neat plastic packaging, thereby improving the neatness of cigarette packaging and the loading rate of terminal vehicles.

[0020] Further preferred, the basic control parameters configured in step S1 include: plastic pack multiple parameters, equipment capacity parameters, cigarette storage capacity parameters, and control target parameters; wherein the plastic pack multiple parameters are a maximum of 25 packs of standard cigarettes per pack and a common multiple of 5, and a maximum of 8 packs of slim cigarettes per pack and a common multiple of 4; the control target parameters are a double-line sorting time difference of ≤0.5 hours, a product specification coverage rate of ≥97%, and a package combination success rate of 100%.

[0021] In a further preferred embodiment, the single-line unidirectional extraction rule in step S2 is as follows: only scattered cigarettes are allocated unidirectionally from the fine-mark cigarette line to the irregular-shaped cigarette line, and the return operation from the irregular-shaped line to the fine-mark line is not performed; orders with a standard cigarette remaining quantity of not 5 and a fine cigarette remaining quantity of not 4 are identified and marked one by one and included in the order pool to be extracted.

[0022] Further optimized, the extraction threshold control in step S3 is as follows: based on the historical order statistics of the average daily sorting time and remaining capacity of the irregular line, combined with the sorting efficiency of the irregular line per unit time, calculate the maximum amount of cigarettes that can be allocated per day; construct an intermediate sorting schedule table to lock the upper limit of extraction, and ensure that the difference between the sorting completion time of the fine line and the irregular line is ≤0.5 hours.

[0023] In a further optimized approach, step S4 employs a two-tiered extraction logic: standard cigarettes take priority, followed by slim cigarettes. In the first round, the order pool to be extracted is traversed, prioritizing the allocation of remaining cartons of standard cigarettes that do not meet the requirement of being multiples of 5. In the second round, within the remaining extraction quota, remaining cartons of slim cigarettes that do not meet the requirement of being multiples of 4 are allocated. This ensures that the batch extraction coverage rate is ≥97%, and the success rate of combining slim cigarettes and standard cigarettes in one order is 100%.

[0024] Further optimized, the specific allocation of combined product specifications in step S5 is as follows: Calculate the average daily outbound product specifications of the irregular-shaped production line, combine the total number of cigarette warehouses to calculate the remaining available cigarette warehouses, and take the historical minimum remaining warehouse space value as the total number of product specifications that can be allocated; allocate the allocation quantity of large and small product specifications according to the sales ratio of standard cigarettes and slim cigarettes in the orders of the day, and adopt a large product specification + small product specification combined extraction mode to ensure that the irregular-shaped production line warehouse can be sorted normally at 100%.

[0025] In a further optimized step S6, the real-time co-packing and sorting of cigarettes on the non-standard delivery line specifically involves: adjusting the vertical cigarette compartment baffle of the non-standard delivery line to adapt to the storage of cigarette packs; merging the extracted loose cigarette packs with the original orders of this batch on the non-standard delivery line according to the retailer's serial number; and sorting and packing them together synchronously; ensuring that cigarettes from the same retailer's order are packaged in the same batch, with a packing rate of 100%, without changing the original terminal delivery loading order.

[0026] Further preferred, the dynamic monitoring content in step S7 includes the real-time sorting progress of the dual lines, the occupancy rate of the cigarette warehouse on the irregular line, the order consolidation success rate, and the frequency of equipment failure; the extraction quantity and the allocation quantity of product specifications are dynamically adjusted according to the monitoring results to ensure the continuous and stable sorting process.

[0027] Further optimization of parameters in step S8 specifically involves: collecting data on daily cigarette pack neatness rate, dual-line sorting time, cigarette damage amount, and packing success rate; monthly statistics on terminal delivery vehicle frequency and loading rate changes; and periodically iterating and optimizing the extraction limit, allocation list, and priority weight to continuously improve control effectiveness.

[0028] Furthermore, the method is applied to tobacco commercial logistics centers equipped with fine-label cigarette sorting lines and irregular-shaped cigarette sorting lines. It does not require modification of the front-end sales ordering system. Only the control logic is deployed in the sorting and scheduling process to achieve the standardization of plastic package stacks and the improvement of delivery loading rate.

[0029] The embodiments of the present invention have the following advantages due to the adoption of the above technical solutions:

[0030] I. This invention is the first to completely decentralize the multiple normalization process to the sorting and logistics end. It does not require changes to the ordering system or restrict the retailer's ordering freedom. It can achieve full order plastic packaging multiple through sorting scheduling control logic and dual-line capacity collaboration. It achieves disruptive innovation in terms of technical path, which not only meets the market's ordering flexibility, but also achieves the goal of reducing costs and increasing efficiency on the logistics end. It has outstanding novelty and creativity.

[0031] Second, by quantifying the extraction threshold, this invention accurately diverts scattered orders from the fine-marking line to the irregular-shaped line, controlling the difference in sorting time between the two lines to within 0.5 hours. The idle capacity of the irregular-shaped line is fully utilized, and the load on the fine-marking line is effectively reduced. The overall average daily sorting time is shortened by about 1 hour, and the peak daily time is shortened by 1.5 hours. The reduction in equipment operating time directly reduces power consumption and equipment wear, saving more than 10,000 yuan in energy costs annually, thus achieving cost reduction and efficiency improvement in the sorting process.

[0032] The above overview is for illustrative purposes only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the invention will become readily apparent from the accompanying drawings and the following detailed description. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart illustrating the overall process control of this invention. Detailed Implementation

[0035] In the following description, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments can be modified in various ways without departing from the spirit or scope of the invention. Therefore, the drawings and description are considered to be exemplary in nature and not restrictive.

[0036] The embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0037] like Figure 1 As shown, this embodiment of the invention provides a method for logistics control of high-loading-rate cigarette sorting and standardization, including the following steps:

[0038] S1 sorting order preprocessing and basic control parameter configuration;

[0039] S2 executes a single-line, unidirectional extraction rule to identify orders with scattered remainders at fine markings;

[0040] S3 is based on the extraction quantity threshold control of dual-line capacity balancing;

[0041] S4 sets the priority of product specifications and performs tiered extraction;

[0042] S5 combination specifications are allocated to adapt to the capacity of non-standard line storage space;

[0043] S6 irregular-shaped line real-time co-line combined packaging and sorting;

[0044] S7 sorting process dynamic monitoring and parameter fine-tuning;

[0045] S8 performance review and iterative optimization of control parameters;

[0046] By extracting order surpluses at the sorting end and coordinating sorting on both lines, we can achieve 5 times the number of standard cigarettes and 4 times the number of slim cigarettes in neat plastic packaging, thereby improving the neatness of cigarette packaging and the loading rate of terminal vehicles.

[0047] In one embodiment, the basic control parameters configured in step S1 include: plastic pack multiple parameters, equipment capacity parameters, cigarette storage capacity parameters, and control target parameters; wherein the plastic pack multiple parameters are a maximum of 25 packs of standard cigarettes per pack and a common multiple of 5, and a maximum of 8 packs of slim cigarettes per pack and a common multiple of 4; the control target parameters are a difference in sorting time between the two lines ≤ 0.5 hours, a product specification coverage rate ≥ 97%, and a package combination success rate of 100%.

[0048] In one embodiment, the single-line unidirectional extraction rule in step S2 is as follows: only scattered cigarettes are allocated unidirectionally from the fine-mark cigarette line to the irregular-shaped cigarette line, and the return operation from the irregular-shaped line to the fine-mark line is not performed; orders with a standard cigarette remaining quantity of not 5 and a fine cigarette remaining quantity of not 4 are identified and marked one by one and included in the order pool to be extracted.

[0049] In one embodiment, the extraction threshold control in step S3 is specifically as follows: based on the historical order statistics of the average daily sorting time and remaining capacity of the irregular line, combined with the sorting efficiency per unit time of the irregular line, calculate the maximum daily amount of cigarettes that can be allocated; construct an intermediate sorting schedule table to lock the upper limit of extraction, and ensure that the difference between the sorting completion time of the fine line and the irregular line is ≤0.5 hours.

[0050] In one embodiment, step S4 employs a two-tiered extraction logic of prioritizing standard cigarettes and then slim cigarettes: in the first round, the order pool to be extracted is traversed, and the remaining packs of standard cigarettes that do not meet the requirement of being multiples of 5 are allocated first; in the second round, within the remaining extraction quota, the remaining packs of slim cigarettes that do not meet the requirement of being multiples of 4 are allocated; ensuring that the batch extraction coverage rate is ≥97%, and the success rate of combining slim cigarettes and standard cigarettes into one order is 100%.

[0051] In one embodiment, the combination of product specifications allocation in step S5 is specifically as follows: the average daily outbound quantity of product specifications on the irregular production line is counted, the remaining available quantity of cigarette warehouses is calculated in combination with the total number of cigarette warehouses, and the historical minimum remaining warehouse space value is taken as the total number of product specifications that can be allocated; according to the sales ratio of standard cigarettes and slim cigarettes in the orders of the day, the allocation quantity of large product specifications and small product specifications is allocated, and a combination extraction mode of large product specifications + small product specifications is adopted to ensure that the irregular production line warehouse can be sorted normally at 100%.

[0052] In one embodiment, the real-time co-packing and sorting of non-standard cigarette packs in step S6 specifically involves: adjusting the vertical cigarette compartment baffle of the non-standard cigarette pack to adapt to the allocation of cigarette packs for storage; merging the extracted loose cigarette packs with the original orders of this batch on the non-standard cigarette pack according to the retailer's serial number; and sorting and packing them together synchronously; ensuring that cigarettes from the same retailer's order are packaged in the same batch, with a packing rate of 100%, without changing the original terminal delivery loading order.

[0053] In one embodiment, the dynamic monitoring content in step S7 includes the real-time sorting progress of the dual-line system, the occupancy rate of the cigarette storage compartment on the irregular line, the order consolidation success rate, and the frequency of equipment failures; the extraction quantity and the allocation quantity of product specifications are dynamically adjusted according to the monitoring results to ensure the continuous and stable sorting process.

[0054] In one embodiment, the parameter iteration optimization in step S8 specifically involves: collecting daily data on cigarette pack neatness rate, dual-line sorting time, cigarette damage amount, and packing success rate; monthly statistics on terminal delivery vehicle frequency and loading rate changes; and periodically iterating and optimizing the extraction limit, allocation list, and priority weight to continuously improve the control effect.

[0055] In one embodiment, the method is applied to a tobacco commercial logistics center with both fine-label cigarette sorting lines and non-standard cigarette sorting lines. It does not require modification of the front-end sales ordering system. By deploying control logic only in the sorting and scheduling stage, it can achieve the standardization of plastic pack pallets and the improvement of delivery loading rate.

[0056] Example 1: Application of the Lingxi Cigarette Logistics Center of Hulunbuir Tobacco Company

[0057] 1. Basic Environment and Parameter Configuration

[0058] The Lingxi Logistics Center is equipped with one fine-label cigarette sorting line and one non-standard cigarette sorting line. The non-standard line has a total of 64 cigarette bins, including 52 vertical cigarette bins and 12 electronically tagged cigarette bins. The historical average daily outbound product specifications are 58, with a minimum of 4 remaining bins. The sorting efficiency of the fine-label line is approximately 12,000 items / hour, and the sorting efficiency of the non-standard line is approximately 2,000 items / hour.

[0059] Configure control parameters: standard cigarettes 5, maximum 25 packs per pack; slim cigarettes 4, maximum 8 packs per pack; dual-line time difference threshold ≤ 0.5 hours; product specification coverage ≥ 97%; package consolidation success rate 100%.

[0060] 2. Order Extraction and Control Execution

[0061] Single-line identification: After importing orders each day, the system automatically traverses all orders with fine markings, marks scattered orders with a standard cigarette count of not 5 and a slim cigarette count of not 4, and includes them in the waiting pool. These orders are only allocated to the irregular line in one direction and are not returned.

[0062] Extraction volume control: Based on historical data, the average remaining sorting time of the irregular line is about 3 hours per day, corresponding to a maximum capacity of about 120 pieces (6000 items). The daily extraction limit is locked through an intermediate table.

[0063] Priority and Product Specifications: The standard cigarettes are selected first. The remaining standard cigarettes are selected in the first round, and the remaining slim cigarettes are selected in the second round. Based on the sales ratio of standard cigarettes to slim cigarettes of about 7:3, 3 mainstream standard cigarette specifications and 1 mainstream slim cigarette specification are selected as the allocation specifications, for a total of 4 specifications, which are suitable for the minimum remaining storage space of 4.

[0064] Co-packaging: Adjust the vertical tobacco compartment baffle of the irregular line, allocate a dedicated compartment for the product specifications, and merge and schedule it with the original order of the irregular line according to the retailer's serial number, and package it together with the original order.

[0065] 3. Verification of running results

[0066] Run continuously for 3 months, and extract 7 days of data each month for statistical verification:

[0067] Core objective: The average neatness rate of cigarette packs reached 99.13%, far exceeding the expected target of 95%, and the plastic packs were flat and uniform in shape;

[0068] Sorting efficiency: The average daily sorting time for fine-marked lines has been reduced from 7.8 hours to 6.8 hours, and the peak day sorting time has been reduced from 12 hours to 10.5 hours. The time difference between the two lines is controlled within 0.5 hours, and the capacity balance has been greatly improved.

[0069] Breakage control: The average monthly number of broken cigarettes decreased from 31 cartons before the campaign to less than 1 carton, with the breakage rate decreasing by more than 95%;

[0070] Delivery loading: The load capacity per vehicle increased from 118 packages to 150 packages, and the total number of delivery trips over a sampled 3-day period decreased from 37 to 31, a reduction of approximately 16% in the number of delivery trips.

[0071] Stability: 100% success rate in consolidation, over 98% product specification coverage, no issues such as insufficient storage space or product specification incompatibility, and stable operation.

[0072] According to calculations, the annual comprehensive economic benefit is approximately 11,900 yuan. At the same time, three enterprise standards have been formed: "Cigarette Sorting Operation Specifications", "Sorting Management System Operation Manual", and "Cigarette Sorting Management System", which can be replicated and promoted.

[0073] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any person skilled in the art can easily conceive of various variations or substitutions within the technical scope disclosed in the present invention, and these should all be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A high-loading-rate cigarette sorting and logistics control method, characterized in that, Includes the following steps: S1 sorting order preprocessing and basic control parameter configuration; S2 executes a single-line, unidirectional extraction rule to identify orders with scattered remainders at fine markings; S3 is based on the extraction quantity threshold control of dual-line capacity balancing; S4 sets the priority of product specifications and performs tiered extraction; S5 combination specifications are allocated to adapt to the capacity of non-standard line storage space; S6 irregular-shaped line real-time co-line combined packaging and sorting; S7 sorting process dynamic monitoring and parameter fine-tuning; S8 performance review and iterative optimization of control parameters; By extracting order surpluses at the sorting end and coordinating sorting on both lines, we can achieve 5 times the number of standard cigarettes and 4 times the number of slim cigarettes in neat plastic packaging, thereby improving the neatness of cigarette packaging and the loading rate of terminal vehicles.

2. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The basic control parameters configured in step S1 include: plastic pack multiple parameters, equipment capacity parameters, cigarette storage capacity parameters, and control target parameters; among which, the plastic pack multiple parameters are a maximum of 25 packs of standard cigarettes per pack and a common multiple of 5, and a maximum of 8 packs of slim cigarettes per pack and a common multiple of 4; the control target parameters are a double-line sorting time difference of ≤0.5 hours, a product specification coverage rate of ≥97%, and a package combination success rate of 100%.

3. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The specific rules for single-line unidirectional extraction in step S2 are as follows: only scattered cigarettes are allocated unidirectionally from the fine-mark cigarette line to the irregular-shaped cigarette line, and the return operation from the irregular-shaped line to the fine-mark line is not performed; orders with a standard cigarette remaining quantity of not 5 and a fine cigarette remaining quantity of not 4 are identified and marked one by one and included in the order pool to be extracted.

4. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The extraction threshold control in step S3 is as follows: based on the historical order statistics of the average daily sorting time and remaining capacity of the irregular line, combined with the sorting efficiency of the irregular line per unit time, calculate the maximum amount of cigarettes that can be allocated per day; construct an intermediate sorting schedule table to lock the upper limit of extraction, and ensure that the difference between the sorting completion time of the fine line and the irregular line is ≤0.5 hours.

5. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: In step S4, the product specification priority adopts a two-layer extraction logic of standard cigarettes first and slim cigarettes second: in the first round, the order pool to be extracted is traversed, and the remaining cars of standard cigarettes that do not meet the requirement of being multiples of 5 are allocated first; in the second round, within the remaining extraction quota, the remaining cars of slim cigarettes that do not meet the requirement of being multiples of 4 are allocated; ensuring that the batch extraction product specification coverage rate is ≥97%, and the success rate of combining slim cigarettes and standard cigarettes into one order is 100%.

6. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: In step S5, the specific allocation of combined product specifications is as follows: Calculate the average daily outbound quantity of product specifications from the non-standard product line, combine it with the total number of cigarette warehouses to calculate the remaining available cigarette warehouse quantity, and take the historical minimum remaining warehouse space value as the total number of product specifications that can be allocated; allocate the allocation quantity of large and small product specifications according to the sales ratio of standard cigarettes and slim cigarettes in the orders of the day, and adopt a combination extraction mode of large and small product specifications to ensure that the non-standard product line warehouse can be sorted normally at 100%.

7. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: In step S6, the real-time co-packing and sorting of non-standard cigarette packs is specifically as follows: the vertical cigarette compartment baffle of the non-standard cigarette pack is adjusted to adapt to the storage of cigarette packs, and the extracted loose cigarette packs are merged and scheduled with the original orders of this batch of non-standard cigarette packs according to the retailer's serial number, and sorted and packaged in the same order simultaneously; ensuring that cigarettes from the same retailer's order are packaged in the same batch, with a 100% packaging rate, without changing the original terminal delivery loading order.

8. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The dynamic monitoring content in step S7 includes the real-time sorting progress of the dual lines, the occupancy rate of the cigarette warehouse on the irregular line, the order consolidation success rate, and the frequency of equipment failures; the extraction volume and the quantity of allocated items are dynamically adjusted according to the monitoring results to ensure the continuous and stable sorting process.

9. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The parameter iteration optimization in step S8 specifically involves: collecting data on the neatness rate of cigarette packs, the time for dual-line sorting, the amount of cigarette damage, and the success rate of pack assembly daily; statistically analyzing the changes in terminal delivery vehicle trips and loading rates monthly; and periodically iterating and optimizing the upper limit of extraction volume, the list of allocated product specifications, and priority weights to continuously improve the control effect.

10. The high-loading-rate cigarette multiple-ordering sorting logistics control method according to claim 1, characterized in that: The method is applicable to tobacco commercial logistics centers equipped with fine-label cigarette sorting lines and irregular-shaped cigarette sorting lines. It does not require modification of the front-end sales and ordering system. Only the control logic is deployed in the sorting and scheduling process to achieve the standardization of plastic pack pallets and the improvement of delivery loading rate.

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