Supply chain management evaluation method and system based on production, supply and marketing integration

Abstract

The present invention discloses a supply chain management evaluation method and system based on the integration of production, supply and marketing, and belongs to the technical field of data processing methods suitable for management purposes. The present invention substitutes the road surface height into the road surface bump value calculation strategy to calculate the road surface bump value, and calculates the damage cost according to the damage cost calculation strategy; substitutes the temperature and rainfall into the weather severity value calculation strategy to calculate the weather severity value; constructs a congestion duration prediction model under the influence of weather and inputs the acquired weather severity value, and outputs the predicted congestion duration; calculates the transportation cost of the goods according to the transportation cost calculation strategy, and selects a transportation route with the lowest transportation cost as the final transportation route. The present invention can plan transportation tasks more accurately and improve overall transportation efficiency by collecting commodity information, transportation vehicle information and delivery information; calculates the transportation cost and selects the route with the lowest cost by predicting the congestion duration and considering the road surface bump value, thereby reducing the overall transportation cost.

Description

Technical Field

[0001] The present invention belongs to the technical field of data processing methods suitable for management purposes, and specifically to a supply chain management evaluation method and system based on the integration of production, supply and marketing. Background Art

[0002] Supply chain management that integrates production, supply and sales is an integrated management strategy that emphasizes the establishment of a close collaborative relationship between the three key links of production, supply and sales. This integration aims to break down traditional departmental barriers and optimize the operation of the entire supply chain through information sharing, resource sharing and process collaboration.

[0003] The prior art calculates transportation costs in supply chain management mostly based on transportation time, and lacks a solution that combines congestion duration, damage to goods caused by road bumps, and bad weather conditions to jointly evaluate transportation costs. For example, a Chinese patent with application publication number CN116384875A discloses a supply chain management system suitable for multiple business forms. The invention includes a server, which uses a cargo statistics module to count the goods in and out of the warehouse, and uses a purchase management module and a shipment management module to perform purchase management and shipment management based on the goods in and out of the warehouse, respectively. The server uses a transportation route planning module to plan the purchase route and the shipment route, and uses a transportation time estimation module to estimate the transportation time of the planned transportation route. The server calculates the transportation cost based on the transportation time corresponding to the planned transportation route through a transportation cost calculation module, and uses a transportation route optimization module to optimize the transportation route based on the transportation cost corresponding to the planned transportation route. The technical solution provided by the invention can effectively overcome the defects of the prior art that it is difficult to discover potential risks in the newly formed supply chain, and the enterprise itself lacks intelligent management in purchase and shipment transportation.

[0004] In order to solve the above problems, the present invention designs a supply chain management evaluation method and system based on the integration of production, supply and marketing. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention proposes a supply chain management evaluation method and system based on the integration of production, supply and marketing. The present invention substitutes the road surface height into the road surface bump value calculation strategy to calculate the road surface bump value, and calculates the damage cost according to the damage cost calculation strategy; substitutes the temperature and rainfall into the weather severity value calculation strategy to calculate the weather severity value; constructs a congestion duration prediction model under the influence of weather and inputs the acquired weather severity value, and outputs the predicted congestion duration; calculates the transportation cost of the goods according to the transportation cost calculation strategy, and selects the transportation route with the lowest transportation cost as the final transportation route. The present invention can more accurately plan transportation tasks and improve overall transportation efficiency by collecting commodity information, transportation vehicle information and delivery information; calculates the transportation cost and selects the route with the lowest cost by predicting the congestion duration and considering the road surface bump value, thereby reducing the overall transportation cost.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The supply chain management evaluation method based on the integration of production, supply and marketing includes the following specific steps:

[0008] S1. Collect information about the goods to be transported, the transport vehicle, the delivery information and the weather information;

[0009] S2. Obtain the vehicle's departure place, delivery destination and transportation route, divide the road surface into several areas according to the vehicle length according to the transportation route, collect the road surface height of the area and substitute it into the road bump value calculation strategy to calculate the road bump value, obtain the historical road bump value and historical damage cost, and calculate the damage cost according to the damage cost calculation strategy;

[0010] S3, obtaining temperature and rainfall and substituting them into the bad weather value calculation strategy to calculate the bad weather value;

[0011] S4, obtaining historical weather information and historical congestion duration of transportation history records, building a congestion duration prediction model under weather influence, inputting the obtained bad weather value into the congestion duration prediction model under weather influence, and outputting the predicted congestion duration;

[0012] S5. Substitute the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods, and select the transportation route with the lowest transportation cost as the final transportation route.

[0013] Specifically, S1 includes the following specific steps:

[0014] S11. Collect information about the goods to be transported, including the name, category, size, weight, and performance of the goods;

[0015] S12, collecting transport vehicle information, the transport vehicle information including vehicle type, vehicle load capacity, vehicle size, vehicle temperature, vehicle operating status, positioning information, vehicle departure point, vehicle uniform speed, transport route and transport history record, the transport route including the number of transport routes and the length of the transport route, the transport history record including historical weather information, historical congestion duration, historical road bump value and historical damage cost;

[0016] S13, collecting delivery information, where the delivery information includes a delivery destination and a delivery time;

[0017] S14, collecting weather information, the weather information including temperature and rainfall;

[0018] S15: storing the collected commodity information, transport vehicle information, delivery information and weather information in an information storage module.

[0019] Specifically, S2 includes the following specific steps:

[0020] S21, obtaining the vehicle's departure point, delivery destination, and transportation route, dividing the road surface into a number of areas evenly according to the vehicle length according to the transportation route, and measuring the road surface height of each area;

[0021] S22, substituting the collected road surface height of the area into a road bump value calculation strategy to calculate a road bump value, wherein the road bump value calculation strategy includes a road bump value calculation formula, and the road bump value calculation formula is: ,in, For the The road height of the area, For the The road height of the area, The number of areas into which the road surface is evenly divided;

[0022] S23, obtaining historical road bump values ​​and historical damage costs of transportation history records, screening out corresponding historical damage costs according to preset standard road bump values ​​and calculating an average value of the historical damage costs, substituting the road bump value, the preset standard bump value and the average value of the historical damage costs into a damage cost calculation strategy to calculate the damage cost, the damage cost calculation strategy including a damage cost calculation formula, the damage cost calculation formula being: ,in, is the average value of historical damage cost, It is the preset standard road bump value;

[0023] S24. Store the calculated damage cost in a damage cost storage module.

[0024] Specifically, S3 includes the following specific steps:

[0025] S31, obtaining the temperature and rainfall of each transportation route estimated by the weather forecast for several time periods in the future;

[0026] S32, substituting the acquired temperature and rainfall into the bad weather value calculation strategy to calculate the bad weather value, wherein the bad weather value calculation strategy includes a bad weather value calculation formula, and the bad weather value calculation formula is: ,in, is the number of time periods for collecting weather information, For the The temperature during a period of time, The preset maximum safety temperature. is the preset minimum safe temperature. hour, The value is 0, when hour, The value is 0, when hour, and The values ​​are all 0. For the The amount of rainfall in a period of time, is the preset maximum safe rainfall. hour, The value is 0. is the temperature ratio, , is the rainfall proportion coefficient, , ;

[0027] S33. Store the calculated severe weather value in a severe weather value storage module.

[0028] Specifically, S4 includes the following specific steps:

[0029] S41, substituting the historical weather information and historical congestion duration obtained from the transportation history records into the weather severity value calculation formula to calculate the historical weather severity value and divide it into 2 subsets, of which the first 80% is a training data set and the second 20% is a test data set, inputting the first 80% of the training data set into the congestion duration prediction model under the influence of weather for training, and obtaining an initial congestion duration prediction model under the influence of weather, and then using the second 20% of the test data set to test the initial congestion duration prediction model under the influence of weather, and outputting the congestion duration prediction model under the influence of weather with the highest accuracy in judging the congestion duration;

[0030] S42. The calculation formula of the congestion duration prediction model under the influence of weather is: ,in, is the predicted congestion duration, is the connection weight between neurons from the hidden layer to the output layer, is the deviation, For the The input weather severity value, is the number of inputs, is the center of the neuron basis function, is the basis function width, is the norm, inputs the obtained bad weather value into the congestion duration prediction model under weather influence, and outputs the predicted congestion duration;

[0031] S43: storing the predicted congestion duration in a congestion duration storage module.

[0032] Specifically, S5 includes the following specific steps:

[0033] S51, substituting the damage cost and the predicted congestion duration into a transportation cost calculation strategy to calculate the transportation cost of the commodity, wherein the transportation cost calculation strategy includes a transportation cost calculation formula, and the transportation cost calculation formula is: ,in, is the heat transfer coefficient, is the transport vehicle area, is the temperature in the obtained weather information, is the temperature inside the car, The temperature difference between the inside and outside of the transport vehicle, is the predicted congestion duration, is the length of the transport route, is the uniform speed of the vehicle, is the duration of the vehicle traveling at a constant speed, is the unit cooling cost;

[0034] S52. Calculate the transportation costs of different transportation routes for the same vehicle departure point and delivery destination, and select the transportation route with the lowest transportation cost as the final transportation route.

[0035] A supply chain management evaluation system based on the integration of production, supply and marketing, which is implemented based on the above-mentioned supply chain management evaluation method based on the integration of production, supply and marketing, and includes a control module, an information collection module, an information storage module, a road bump value calculation module, a damage cost calculation module, a bad weather value calculation module, a congestion duration prediction module and a transportation cost calculation module;

[0036] Specifically, the information collection module is used to collect information on commodities to be transported, information on transport vehicles, delivery information and weather information; the information storage module is used to store the collected information on commodities to be transported, information on transport vehicles, delivery information, weather information, calculated damage costs, bad weather values, predicted congestion duration and transportation costs of commodities; the road bump value calculation module is used to obtain the vehicle departure point, delivery destination and transportation route, divide the road surface into several areas according to the length of the vehicle according to the transportation route, collect the road surface height of the area and substitute it into the road bump value calculation strategy to calculate the road bump value; the damage cost calculation module is used to obtain historical road bump values ​​and historical damage costs, and calculate the damage cost according to the damage cost calculation strategy;

[0037] Specifically, the bad weather value calculation module is used to obtain temperature and rainfall and substitute them into the bad weather value calculation strategy to calculate the bad weather value; the congestion duration prediction module is used to obtain historical weather information and historical congestion duration recorded in the transportation history records, build a congestion duration prediction model under the influence of weather, input the obtained bad weather value into the congestion duration prediction model under the influence of weather, and output the predicted congestion duration; the transportation cost calculation module is used to substitute the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods;

[0038] Specifically, the control module is used to control the operation of the information collection module, the information storage module, the road bump value calculation module, the damage cost calculation module, the severe weather value calculation module, the congestion duration prediction module and the transportation cost calculation module.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] The present invention substitutes the road surface height into the road surface bump value calculation strategy to calculate the road surface bump value, and calculates the damage cost according to the damage cost calculation strategy; substitutes the temperature and rainfall into the weather severity value calculation strategy to calculate the weather severity value; constructs a congestion duration prediction model under the influence of weather and inputs the acquired weather severity value, and outputs the predicted congestion duration; calculates the transportation cost of the goods according to the transportation cost calculation strategy, and selects a transportation route with the lowest transportation cost as the final transportation route;

[0041] By collecting commodity information, transport vehicle information and delivery information, the present invention can plan transport tasks more accurately, ensure that goods are delivered on time, improve overall transport efficiency, and enhance the quality and satisfaction of customer service;

[0042] By predicting the duration of congestion and taking into account the road bumps, the transportation cost can be calculated in advance and the route with the lowest cost can be selected, thereby reducing the overall transportation cost;

[0043] Use historical data and real-time data to build a forecasting model to make the evaluation more scientific and reasonable and reduce the error of subjective judgment;

[0044] Real-time monitoring and prediction of weather and road conditions can help make supply chain management more flexible, respond quickly to various changes, and improve the adaptability and resilience of the supply chain.

[0045] By integrating various data resources, we can promote the informatization of supply chain management and improve the overall management level. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0047] Figure 1 It is a flow chart of the supply chain management evaluation method based on the integration of production, supply and marketing of the present invention;

[0048] Figure 2 It is a flow chart of S1 in the supply chain management evaluation method based on production, supply and marketing integration of the present invention;

[0049] Figure 3 It is a schematic diagram of the overall framework of the supply chain management evaluation system based on the integration of production, supply and marketing in the present invention. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0051] Example 1

[0052] See also Figure 1 , an embodiment provided by the present invention: a supply chain management evaluation method based on production, supply and marketing integration, which includes the following specific steps:

[0053] S1. Collect information about the goods to be transported, the transport vehicle, the delivery information and the weather information;

[0054] See also Figure 2 In this embodiment, S1 includes the following specific steps:

[0055] S11. Collect information about the goods to be transported, including the name, category, size, weight, and performance of the goods;

[0056] It should be further explained here that understanding commodity information helps enterprises to manage inventory based on commodity information, ensure that commodity supply matches market demand, and help all parties in the supply chain to conduct effective logistics planning and inventory scheduling;

[0057] S12. Collecting transport vehicle information, including vehicle type (such as trucks, trailers, container trucks, etc.), vehicle load capacity, vehicle dimensions (length, width, height), vehicle temperature, vehicle operating status (on the way, idle), positioning information (GPS coordinates), vehicle departure point, vehicle uniform speed, transport routes and transport history records. The transport routes include the number of transport routes and the length of the transport routes. The transport history records include historical weather information, historical congestion duration, historical road bumps and historical damage costs;

[0058] It should be further explained here that understanding the transport vehicle information can help logistics companies to dispatch vehicles more effectively through vehicle information, reduce waiting and idle time, plan optimal routes, and reduce transportation costs.

[0059] S13. Collecting delivery information, including the delivery destination and delivery time;

[0060] It should be further explained here that understanding delivery information helps ensure that customers receive goods on time, improving customer satisfaction and loyalty; it helps companies better plan inventory levels and avoid over-inventory or out-of-stock situations. When emergencies or changes occur, accurate delivery information can help companies quickly adjust transportation plans and maintain supply chain flexibility; it helps logistics companies arrange transportation routes and resources more effectively.

[0061] S14, collecting weather information, the weather information includes temperature and rainfall;

[0062] It should be further explained here that understanding weather information helps to ensure the quality of goods. Monitoring temperature can ensure that products such as food and medicine remain in a suitable environment throughout the transportation process to avoid damage or deterioration due to temperature fluctuations. Monitoring rainfall can help prevent goods from getting damp during transportation, especially goods that are not tightly packaged. It can also help with route planning, adjusting transportation routes based on weather information to avoid passing through areas where traffic paralysis, heavy rainfall or extreme temperature changes may occur, ensuring the safety and on-time delivery of goods. Temperature and rainfall data collected over a long period of time can be used to analyze trends and patterns in the transportation process, helping logistics companies improve transportation processes and improve service quality and efficiency.

[0063] S15: storing the collected commodity information, transport vehicle information, delivery information and weather information in an information storage module.

[0064] S2. Obtain the vehicle's departure place, delivery destination and transportation route, divide the road surface into several areas according to the vehicle length according to the transportation route, collect the road surface height of the area and substitute it into the road bump value calculation strategy to calculate the road bump value, obtain the historical road bump value and historical damage cost, and calculate the damage cost according to the damage cost calculation strategy;

[0065] In this embodiment, S2 includes the following specific steps:

[0066] S21, obtaining the vehicle's departure point, delivery destination, and transportation route, dividing the road surface into a number of areas evenly according to the vehicle length according to the transportation route, and measuring the road surface height of each area;

[0067] It should be further explained here that the road surface height of the area is collected by a laser rangefinder. The measurement steps are as follows: mark the points to be measured on the road surface. These points should be evenly distributed in the measurement area. Place the laser rangefinder on a stable platform to ensure that it is perpendicular to the road surface. Aim the laser rangefinder's sight at the selected measurement point. Press the measurement button. The laser rangefinder emits a laser and measures the time or phase change of the laser return to calculate the distance. In order to improve accuracy, each point is measured multiple times and the average is taken. After measuring one point, move the laser rangefinder to the next measurement point and repeat the measurement steps. After the measurement is completed, clean and maintain the laser rangefinder.

[0068] S22, substituting the collected road surface height of the area into the road bump value calculation strategy to calculate the road bump value, the road bump value calculation strategy includes a road bump value calculation formula, and the road bump value calculation formula is: ,in, For the The road height of the area, For the The road height of the area, The number of areas into which the road surface is evenly divided;

[0069] S23, obtaining historical road bump values ​​and historical damage costs of transportation history records, selecting corresponding historical damage costs according to preset standard road bump values ​​and calculating the average value of historical damage costs, substituting the road bump value, the preset standard bump value and the average value of historical damage costs into a damage cost calculation strategy to calculate the damage cost, the damage cost calculation strategy includes a damage cost calculation formula, and the damage cost calculation formula is: ,in, is the average value of historical damage cost, It is the preset standard road bump value;

[0070] S24. Store the calculated damage cost in a damage cost storage module.

[0071] S3, obtaining temperature and rainfall and substituting them into the bad weather value calculation strategy to calculate the bad weather value;

[0072] In this embodiment, S3 includes the following specific steps:

[0073] S31, obtaining the temperature and rainfall of each transportation route estimated by the weather forecast for several time periods in the future;

[0074] S32, substituting the acquired temperature and rainfall into the bad weather value calculation strategy to calculate the bad weather value, the bad weather value calculation strategy includes a bad weather value calculation formula, and the bad weather value calculation formula is: ,in, is the number of time periods for collecting weather information, For the The temperature during a period of time, The preset maximum safety temperature. is the preset minimum safe temperature. hour, The value is 0, when hour, The value is 0, when hour, and The values ​​are all 0. For the The amount of rainfall in a period of time, is the preset maximum safe rainfall. hour, The value is 0. is the temperature ratio, , is the rainfall proportion coefficient, , ;

[0075] It should be further explained that different types of goods have different transportation temperature requirements. For example, frozen livestock and poultry meat, aquatic products, frozen juice, frozen drinks, etc. should be transported and stored below -18°C, vegetables, fruits, pasteurized milk, refrigerated eggs, etc. should be transported and stored within the temperature range of 0°C to 7°C. Certain vegetable and fruit varieties may require specific temperatures, such as 0°C to 15°C for cabbage and potatoes, and -1°C to 2°C for apples.

[0076] The impact of rainfall on vehicle operation mainly depends on the size and duration of rainfall. Generally speaking, light to moderate rainfall will not have much impact on vehicle operation, and the vehicle can drive normally. If the rainfall is too heavy, such as heavy rain or floods, it may affect road conditions, such as slippery road surface, reduced visibility, etc., which may affect the vehicle's driving speed, safety and transportation time.

[0077] S33. Store the calculated severe weather value in a severe weather value storage module.

[0078] S4, obtaining historical weather information and historical congestion duration of transportation history records, building a congestion duration prediction model under the influence of weather, inputting the obtained weather information into the congestion duration prediction model under the influence of weather, and outputting the predicted congestion duration;

[0079] In this embodiment, S4 includes the following specific steps:

[0080] S41, substituting the historical weather information and historical congestion duration obtained from the transportation history records into the weather severity value calculation formula to calculate the historical weather severity value and divide it into 2 subsets, of which the first 80% is a training data set and the second 20% is a test data set, inputting the first 80% of the training data set into the congestion duration prediction model under the influence of weather for training, and obtaining an initial congestion duration prediction model under the influence of weather, and then using the second 20% of the test data set to test the initial congestion duration prediction model under the influence of weather, and outputting the congestion duration prediction model under the influence of weather with the highest accuracy in judging the congestion duration;

[0081] S42. The calculation formula of the congestion duration prediction model under the influence of weather is: ,in, is the predicted congestion duration, is the connection weight between neurons from the hidden layer to the output layer, is the deviation, For the Input rainfall amount, is the number of inputs, is the center of the neuron basis function, is the basis function width, is the norm, inputs the obtained bad weather value into the congestion duration prediction model under weather influence, and outputs the predicted congestion duration;

[0082] S43: storing the predicted congestion duration in a congestion duration storage module.

[0083] S5. Substitute the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods, and select the transportation route with the lowest transportation cost as the final transportation route.

[0084] In this embodiment, S5 includes the following specific steps:

[0085] S51. Substituting the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods. The transportation cost calculation strategy includes a transportation cost calculation formula. The transportation cost calculation formula is: ,in, is the heat transfer coefficient, is the transport vehicle area, obtained by multiplying the length and width of the transport vehicle, is the temperature in the obtained weather information, is the temperature inside the car, The temperature difference between the inside and outside of the transport vehicle, is the predicted congestion duration, is the length of the transport route, is the uniform speed of the vehicle, is the duration of the vehicle traveling at a constant speed, is the unit cooling cost;

[0086] S52. Calculate the transportation costs of different transportation routes for the same vehicle departure point and delivery destination, and select the transportation route with the lowest transportation cost as the final transportation route.

[0087] It is necessary to further explain here that The method for obtaining the preset standard bump value, the preset maximum safety temperature, the preset minimum safety temperature and the preset maximum safety rainfall is as follows: select 100 transportation routes, obtain the commodity information, transportation vehicle information, delivery information and weather information of the transportation routes, substitute the road surface height into the road bump value calculation formula to calculate the road bump value, substitute the road bump value, the preset standard bump value and the average of the historical damage cost into the damage cost calculation formula to calculate the damage cost, substitute the weather information into the bad weather value calculation formula to calculate the bad weather value, input the bad weather value into the congestion duration prediction model under the influence of weather to obtain the predicted congestion duration, substitute the damage cost and the predicted congestion duration into the transportation cost calculation formula to calculate the transportation cost of the commodity, hire 10 transportation industry experts to calculate the transportation costs of different routes, import the transportation costs calculated by the experts and the transportation costs calculated by the formula into the fitting software for comparison, screen out the transportation costs calculated by the formula that are closest to the actual costs, and obtain the corresponding The values ​​of the preset standard turbulence value, the preset maximum safety temperature, the preset minimum safety temperature and the preset maximum safety rainfall.

[0088] Example 2

[0089] See also Figure 3, a supply chain management evaluation system based on the integration of production, supply and marketing, which is implemented based on the above-mentioned supply chain management evaluation method based on the integration of production, supply and marketing, including a control module, an information collection module, an information storage module, a road bump value calculation module, a damage cost calculation module, a bad weather value calculation module, a congestion duration prediction module and a transportation cost calculation module;

[0090] In this embodiment, the information collection module is used to collect information on commodities to be transported, information on transport vehicles, delivery information and weather information; the information storage module is used to store the collected information on commodities to be transported, information on transport vehicles, delivery information, weather information, calculated damage costs, bad weather values, predicted congestion duration and transportation costs of commodities; the road bump value calculation module is used to obtain the vehicle departure point, delivery destination and transportation route, divide the road surface into several areas according to the length of the vehicle according to the transportation route, collect the road surface height of the area and substitute it into the road bump value calculation strategy to calculate the road bump value; the damage cost calculation module is used to obtain historical road bump values ​​and historical damage costs, and calculate the damage cost according to the damage cost calculation strategy;

[0091] In this embodiment, the bad weather value calculation module is used to obtain the temperature and rainfall and substitute them into the bad weather value calculation strategy to calculate the bad weather value. The congestion duration prediction module is used to obtain the historical weather information and historical congestion duration of the transportation history records, build a congestion duration prediction model under the influence of weather, input the obtained bad weather value into the congestion duration prediction model under the influence of weather, and output the predicted congestion duration. The transportation cost calculation module is used to substitute the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods.

[0092] In this embodiment, the control module is used to control the operation of the information collection module, the information storage module, the road bump value calculation module, the damage cost calculation module, the weather severity value calculation module, the congestion duration prediction module and the transportation cost calculation module.

[0093] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function according to the embodiment of the present invention is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions may be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired network or / and a wireless network. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media sets. The available medium may be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium may be a solid-state hard disk.

[0094] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

Claims

1. Supply chain management evaluation method based on the integration of production, supply and marketing, It is characterized in that It includes the following specific steps: S1. Collect information about the goods to be transported, the transport vehicle, the delivery information and the weather information; S2. Obtain the vehicle's departure place, delivery destination, and transportation route, calculate the road bump value according to the road bump value calculation strategy, obtain historical road bump values ​​and historical damage costs, and calculate the damage cost according to the damage cost calculation strategy; S3, obtaining temperature and rainfall and substituting them into the bad weather value calculation strategy to calculate the bad weather value; S4, obtaining historical weather information and historical congestion duration of transportation history records, building a congestion duration prediction model under weather influence, inputting the obtained bad weather value into the congestion duration prediction model under weather influence, and outputting the predicted congestion duration; S5, substituting the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods, and selecting a transportation route with the lowest transportation cost as the final transportation route; The S2 comprises the following specific steps: S21, obtaining the vehicle's departure point, delivery destination, and transportation route, dividing the road surface into a number of areas evenly according to the vehicle length according to the transportation route, and measuring the road surface height of each area; S22, substituting the collected road surface height of the area into a road bump value calculation strategy to calculate a road bump value, wherein the road bump value calculation strategy includes a road bump value calculation formula, and the road bump value calculation formula is: ,in, For the The road height of the area, For the The road height of the area, The number of areas into which the road surface is evenly divided; S23, obtaining historical road bump values ​​and historical damage costs of transportation history records, screening out corresponding historical damage costs according to preset standard road bump values ​​and calculating an average value of the historical damage costs, substituting the road bump value, the preset standard road bump value and the average value of the historical damage costs into a damage cost calculation strategy to calculate the damage cost, the damage cost calculation strategy including a damage cost calculation formula, the damage cost calculation formula being: ,in, is the average value of historical damage cost, It is the preset standard road bump value; S24, storing the calculated damage cost in a damage cost storage module; The S3 includes the following specific steps: S31, obtaining the temperature and rainfall of each transportation route estimated by the weather forecast for several time periods in the future; S32, substituting the acquired temperature and rainfall into the bad weather value calculation strategy to calculate the bad weather value, wherein the bad weather value calculation strategy includes a bad weather value calculation formula, and the bad weather value calculation formula is: ,in, is the number of time periods for collecting weather information, For the The temperature during a period of time, The preset maximum safety temperature. is the preset minimum safe temperature. hour, The value is 0, when hour, The value is 0, when hour, and The values ​​are all 0. For the The amount of rainfall in a period of time, is the preset maximum safe rainfall. hour, The value is 0. is the temperature ratio, , is the rainfall proportion coefficient, , ; S33, storing the calculated severe weather value in a severe weather value storage module; The S4 comprises the following specific steps: S41, substituting the historical weather information and historical congestion duration obtained from the transportation history records into the weather severity value calculation formula to calculate the historical weather severity value and divide it into 2 subsets, of which the first 80% is a training data set and the second 20% is a test data set, inputting the first 80% of the training data set into the congestion duration prediction model under the influence of weather for training, and obtaining an initial congestion duration prediction model under the influence of weather, and then using the second 20% of the test data set to test the initial congestion duration prediction model under the influence of weather, and outputting the congestion duration prediction model under the influence of weather with the highest accuracy in judging the congestion duration; S42. The calculation formula of the congestion duration prediction model under the influence of weather is: ,in, is the predicted congestion duration, is the connection weight between neurons from the hidden layer to the output layer, is the deviation, For the The input weather severity value, is the number of inputs, is the center of the neuron basis function, is the basis function width, is the norm, inputs the obtained rainfall into the congestion duration prediction model under the influence of weather, and outputs the predicted congestion duration; S43, storing the predicted congestion duration in a congestion duration storage module; The S5 comprises the following specific steps: S51, substituting the damage cost and the predicted congestion duration into a transportation cost calculation strategy to calculate the transportation cost of the commodity, wherein the transportation cost calculation strategy includes a transportation cost calculation formula, and the transportation cost calculation formula is: ,in, is the heat transfer coefficient, is the transport vehicle area, For the The temperature during a period of time, is the temperature inside the car, The temperature difference between the inside and outside of the transport vehicle, is the predicted congestion duration, is the length of the transport route, is the uniform speed of the vehicle, is the duration of the vehicle traveling at a constant speed, is the unit cooling cost; S52. Calculate the transportation costs of different transportation routes for the same vehicle departure point and delivery destination, and select the transportation route with the lowest transportation cost as the final transportation route.

2. The supply chain management evaluation method based on production, supply and marketing integration as claimed in claim 1, It is characterized in that The S1 comprises the following specific steps: S11. Collect information about the goods to be transported, including the name, category, size, weight, and performance of the goods; S12, collecting transport vehicle information, the transport vehicle information including vehicle type, vehicle load capacity, vehicle size, vehicle temperature, vehicle operating status, positioning information, vehicle departure point, vehicle uniform speed, transport route and transport history record, the transport route including the number of transport routes and the length of the transport route, the transport history record including historical weather information, historical congestion duration, historical road bump value and historical damage cost; S13, collecting delivery information, where the delivery information includes a delivery destination and a delivery time; S14, collecting weather information, the weather information including temperature and rainfall; S15: storing the collected commodity information, transport vehicle information, delivery information and weather information in an information storage module.

3. A supply chain management evaluation system based on the integration of production, supply and marketing, which is implemented based on the supply chain management evaluation method based on the integration of production, supply and marketing as described in any one of claims 1-2, It is characterized in that It includes a control module, an information collection module, an information storage module, a road bump value calculation module, a damage cost calculation module, a severe weather value calculation module, a congestion duration prediction module and a transportation cost calculation module. The control module is used to control the operation of the information collection module, the information storage module, the road bump value calculation module, the damage cost calculation module, the severe weather value calculation module, the congestion duration prediction module and the transportation cost calculation module.

4. The supply chain management evaluation system based on production, supply and marketing integration as claimed in claim 3, It is characterized in that The information collection module is used to collect information on goods that need to be transported, transportation vehicle information, delivery information and weather information; the information storage module is used to store the collected information on goods that need to be transported, transportation vehicle information, delivery information, weather information, calculated damage cost, bad weather value, predicted congestion duration and transportation cost of goods; the road bump value calculation module is used to obtain the vehicle departure point, delivery destination and transportation route, and divide the road surface into several areas according to the vehicle length according to the transportation route, collect the road surface height of the area and substitute it into the road bump value calculation strategy to calculate the road bump value; the damage cost calculation module is used to obtain historical road bump values ​​and historical damage costs, and calculate the damage cost according to the damage cost calculation strategy.

5. The supply chain management evaluation system based on production, supply and marketing integration as claimed in claim 4, It is characterized in that The severe weather value calculation module is used to obtain temperature and rainfall and substitute them into the severe weather value calculation strategy to calculate the severe weather value; the congestion duration prediction module is used to obtain historical weather information and historical congestion duration in transportation history records, construct a congestion duration prediction model under the influence of weather, input the obtained severe weather value into the congestion duration prediction model under the influence of weather, and output the predicted congestion duration; the transportation cost calculation module is used to substitute the damage cost and the predicted congestion duration into the transportation cost calculation strategy to calculate the transportation cost of the goods.

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