A Multi-Transportation Scheduling Method Applied to Type E Vehicles

Abstract

This invention discloses a multi-mode transportation scheduling method applied to E-type vehicles, relating to the field of transportation scheduling technology. The method includes: Step 1: Obtaining information on the goods to be transported and the transportation capacity of each E-type vehicle; Step 2: Determining the priority level of transportation based on the type of goods in the goods information, and then determining a weight coefficient u; obtaining an emergency assessment coefficient for the transported goods based on the weight coefficient u and the goods information; allocating goods transportation modes according to the emergency assessment coefficient; Step 3: Allocating transportation vehicles based on the goods transportation mode, transportation capacity, and goods information. This method solves the technical problem that current transportation scheduling methods are too simplistic and cannot fully improve the utilization efficiency and transportation efficiency of multiple E-type vehicles. By classifying different goods according to the emergency assessment coefficient, it can prioritize vehicle allocation according to the urgency order of the goods transportation modes when the number of E-type vehicles is limited, thereby improving the transportation efficiency of goods and the utilization rate of E-type vehicles.

Description

Technical Field

[0001] This invention belongs to the field of transportation scheduling technology, specifically a method for multiple transportation scheduling applications for E-type vehicles. Background Technology

[0002] The E-type car is a general-purpose flatcar that can be used to transport goods such as machinery, steel, and wheeled equipment, as well as containers. The E-type car has excellent efficiency and flexibility in horizontal handling and loading and unloading of goods in warehouses, so it is widely used in warehouses and similar scenarios.

[0003] The invention patent application with publication number CN112508240A discloses an automatic scheduling method for material transportation. This method automatically calculates the transportation plan with the shortest production and transportation cycle based on data such as the material production sequence, material processing site, and transportation vehicles, and outputs the production time, scheduling time, and scheduling vehicles for each type of material. However, this transportation scheduling method only targets the transportation of materials. In actual applications, multiple manufacturers may use the same transportation company's vehicles, or a manufacturer may produce finished products in addition to materials. As a result, the current transportation scheduling method is too simplistic and cannot fully improve the utilization efficiency and transportation efficiency of multiple E-type vehicles. Summary of the Invention

[0004] This invention aims to at least solve one of the technical problems existing in the prior art. To this end, this invention proposes a multi-mode transportation scheduling method for E-type vehicles, which addresses the technical problem that the current transportation scheduling methods are too singular and cannot fully improve the utilization efficiency and transportation efficiency of multiple E-type vehicles. This invention solves the above problems by classifying different goods according to an emergency assessment coefficient, thereby prioritizing the allocation of vehicles according to the urgency order of the goods transportation mode when the number of E-type vehicles is limited, thus improving the transportation efficiency of goods and the utilization rate of E-type vehicles.

[0005] To achieve the above objectives, a first aspect of the present invention provides a method for various transportation scheduling applied to type E vehicles, comprising the following steps:

[0006] Step 1: Obtain information on the goods being transported and the transport capacity of each E-type vehicle; the goods information includes the type of goods, the quantity of goods, the space occupied by each item, and the order time. The types of goods include finished products, semi-finished products, and raw materials.

[0007] Step 2: After determining the priority level of transportation based on the type of goods in the cargo information, determine the weight coefficient u. Based on the weight coefficient u and the cargo information, obtain the emergency assessment coefficient of the transported goods. Allocate the cargo transportation mode according to the emergency assessment coefficient.

[0008] Step 3: Allocate transport vehicles based on cargo transport mode, transport capacity, and cargo information.

[0009] Preferably, determining the weight coefficient u after determining the transportation priority level based on the cargo type in the cargo information includes:

[0010] Extract the goods type and match the corresponding priority level to the goods type in the preset type-level mapping table; where the priority level includes important, average and unimportant.

[0011] The goods are sorted in descending order of importance to obtain a sequence result; weight coefficients u1, u2, u3 are assigned to the goods in the sequence result in sequence, where u1 > u2 > u3.

[0012] It should be noted that the category-level mapping table needs to be set according to the manufacturer's position and importance in the industry chain for finished products, semi-finished products, and materials.

[0013] Preferably, the step of obtaining the emergency assessment coefficient for transported goods based on the weighting coefficient u and the goods information includes:

[0014] Extract the weighting coefficients for each type of goods and the quantity of goods, the space occupied by each item, and the order time from the goods information;

[0015] A measurement coefficient v is obtained based on the type of goods, quantity of goods, space occupied by each item, and order time;

[0016] The emergency assessment coefficient for the corresponding transported goods is calculated using the formula PG=uv.

[0017] Calculating the urgency assessment coefficient can comprehensively reflect the urgency of the shipment in terms of transportation and time, thus better reflecting the actual application scenario.

[0018] Preferably, the step of obtaining the measurement coefficient v based on the quantity of goods, the space occupied by each item, and the order time includes:

[0019] Label the quantity of goods and the space occupied by each item as h and k, respectively. Calculate the time difference between the order time and the current time and label it as t. Then, use the formula... Calculate the measurement coefficient v for the corresponding goods.

[0020] Preferably, the cargo transportation mode allocated according to the emergency assessment coefficient includes:

[0021] The emergency assessment coefficient PG is compared with several preset coefficient ranges, and an assessment level is set for the emergency assessment coefficient PG based on the comparison results.

[0022] Match the cargo transportation mode corresponding to the assessment level in the rating-transportation mode mapping table; where the higher the assessment level, the more urgent the corresponding cargo transportation mode.

[0023] Preferably, the allocation of transport vehicles based on cargo transport mode, transport capacity, and cargo information includes:

[0024] Extract cargo transportation modes and retrieve cargo information for the corresponding cargo in the order of urgency within the cargo transportation modes;

[0025] Sort the transport capacity of each E-type vehicle in the absence of transport tasks from largest to smallest, and label them as R1, R2, ..., Rn respectively. Label the vehicle corresponding to the transport capacity Ri as i; where n and i are both positive integers, and i∈[1,n].

[0026] Extracting cargo information will satisfy the inequality h×k≤min[α1×R1+α2×R2+…+α j In the equation ×Rj], the vehicles corresponding to R1, R2, ..., Rj are marked as vehicles to be dispatched, where α1, α2, ..., α j Let j be the capacity correction factor, and j∈[1, n];

[0027] The transport vehicle is obtained by determining the actual cargo Sj carried by vehicle j and the transport capacity Rj.

[0028] It should be noted that α1, α2, ..., α j The selection of vehicles needs to be determined based on the vehicle's capacity and the space occupied by each item. This inequality ensures that all goods can be loaded into the vehicles to be dispatched, and that the number of vehicles dispatched is minimized.

[0029] Preferably, the process of determining the transport vehicle based on the actual cargo Sj carried by vehicle j and the transport capacity Rj includes:

[0030] S1: Through formula S j =h×k-(α1×R1+α2×R2+…+α j-1 Calculate the actual cargo S carried by vehicle j (×Rj-1). j ;

[0031] S2: Extract the transport capacity Rj of vehicle j and determine the actual cargo S. j Is the difference between the transport capacity Rj and the transport capacity Rj less than the preset space threshold? If yes, mark the vehicles corresponding to R1, R2, ..., Rj as transport vehicles; if no, proceed to S3.

[0032] S3: Determine the actual goods S jCheck if the difference between Rj+x and Rj is less than the preset spatial threshold; if yes, mark the vehicles corresponding to R1, R2, ..., Rj-1, Rj+x as transport vehicles; if no, repeat step S3; where x is a positive integer and j+x≤n.

[0033] By adjusting vehicle j, the situation of large vehicles carrying small goods can be avoided, and the E-type vehicle can be used more rationally.

[0034] Preferably, the capacity correction factor α m The methods of obtaining it include:

[0035] Extraction capacity correction factor α m The corresponding vehicle m's transport capacity Rm is taken, and the decimal part of Rm / k is marked as a; a is compared with a preset discrimination threshold b; when a is less than the discrimination threshold b, then the formula α is used. m The capacity correction factor α is calculated as 1-a. m Otherwise, through formula α m The capacity correction factor α is calculated as 1 - |ba|. m ; where m is a positive integer and m∈[1,n], and || is the absolute value symbol.

[0036] The corresponding capacity correction factor α is calculated using this method. m This allows for a better fit between the vehicle and the cargo, reducing the probability of errors in vehicle usage.

[0037] Compared with the prior art, the beneficial effects of the present invention are:

[0038] 1. In this invention, information on the goods to be transported is obtained. The priority of the transport of the goods is determined by the type of goods. Then, the transport measurement coefficient of the goods is calculated by the quantity of goods, the space occupied by each item, and the order time to measure the urgency of the goods during the transport process and the convenience of loading and unloading. The urgency assessment coefficient can be calculated by using the priority level of the goods and the measurement coefficient. Different goods are classified into urgency categories according to the urgency assessment coefficient. Thus, when there are limited E-type vehicles, vehicles can be allocated according to the urgency order of the goods transport mode, thereby improving the transport efficiency of goods and the utilization rate of E-type vehicles.

[0039] 2. In this invention, the transport capacity of each E-type vehicle is used to determine the space occupied by the total cargo using the inequality h×k≤min[α1×R1+α2×R2+…+α j ×Rj] By sequentially selecting vehicles with larger capacities, it is possible to ensure that as few vehicles as possible are used to transport goods, thereby reducing transportation costs, and α mBy setting the corresponding vehicle's transport capacity Rm and the space k occupied by the goods to be transported, it is possible to avoid situations where the space occupied by the gaps between goods is too large and insufficient goods cannot be loaded. Furthermore, by making adaptive adjustments to vehicle j that transports goods Rj, it is possible to ensure that the space of vehicle j is not wasted. Attached Figure Description

[0040] To more clearly illustrate the technical solutions in the embodiments of the present invention 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 the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0041] Figure 1 This is a schematic diagram of the process of the present invention;

[0042] Figure 2 A logic block diagram for allocating transport vehicles in this invention. Detailed Implementation

[0043] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. 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.

[0044] Please see Figures 1-2 The first aspect of this invention provides a method for multiple transportation scheduling applied to type E vehicles, including:

[0045] Includes the following steps:

[0046] Step 1: Obtain information on the goods being transported and the transport capacity of each E-type vehicle; the goods information includes the type of goods, the quantity of goods, the space occupied by each item, and the order time. The types of goods include finished products, semi-finished products, and raw materials.

[0047] Step 2: After determining the priority level of transportation based on the type of goods in the cargo information, determine the weight coefficient u. Based on the weight coefficient u and the cargo information, obtain the emergency assessment coefficient of the transported goods. Allocate the cargo transportation mode according to the emergency assessment coefficient.

[0048] Step 3: Allocate transport vehicles based on cargo transport mode, transport capacity, and cargo information.

[0049] In step two of this embodiment, after determining the priority level of transportation based on the type of goods in the goods information, the weight coefficient u is determined, including:

[0050] Extract the goods type and match the corresponding priority level to the goods type in the preset type-level mapping table; where the priority level includes important, average and unimportant.

[0051] The goods are sorted in descending order of importance to obtain a sequence result; weight coefficients u1, u2, u3 are assigned to the goods in the sequence result in sequence, where u1 > u2 > u3.

[0052] For example, the priority levels of finished products, semi-finished products, and raw materials can be set as important, average, and unimportant, respectively, and the corresponding weighting coefficients can be set to 0.8, 0.5, and 0.2.

[0053] It should be noted that the category-level mapping table needs to be set according to the manufacturer's position and importance in the industry chain for finished products, semi-finished products, and materials.

[0054] Step two of this embodiment, which involves obtaining the emergency assessment coefficient for transported goods based on the weighting coefficient u and the cargo information, includes:

[0055] Extract the weighting coefficients for each type of goods and the quantity of goods, the space occupied by each item, and the order time from the goods information;

[0056] A measurement coefficient v is obtained based on the type of goods, quantity of goods, space occupied by each item, and order time;

[0057] The emergency assessment coefficient for the corresponding transported goods is calculated using the formula PG=uv.

[0058] Furthermore, a metric v is obtained based on the quantity of goods, the space occupied by each item, and the order time, including:

[0059] Label the quantity of goods and the space occupied by each item as h and k, respectively. Calculate the time difference between the order time and the current time and label it as t. Then, use the formula... Calculate the measurement coefficient v for the corresponding goods.

[0060] For example: the data in the table below exists

[0061]

[0062] The corresponding emergency assessment coefficient is:

[0063]

[0064] Step two of this embodiment, which involves allocating the transported goods according to the emergency assessment coefficient, includes the following:

[0065] The emergency assessment coefficient PG is compared with several preset coefficient ranges, and an assessment level is set for the emergency assessment coefficient PG based on the comparison results.

[0066] Match the cargo transportation mode corresponding to the assessment level in the rating-transportation mode mapping table; where the higher the assessment level, the more urgent the corresponding cargo transportation mode.

[0067] For example, when PG=400, the corresponding assessment level is A, and the corresponding cargo transportation mode is most urgent; when PG=120, the corresponding assessment level is C, and the corresponding cargo transportation mode is not urgent.

[0068] Preferably, the allocation of transport vehicles is based on the cargo transport mode, transport capacity, and cargo information, including:

[0069] Extract cargo transportation modes and retrieve cargo information for the corresponding cargo in the order of urgency within the cargo transportation modes;

[0070] Sort the transport capacity of each E-type vehicle in the absence of transport tasks from largest to smallest, and label them as R1, R2, ..., Rn respectively. Label the vehicle corresponding to the transport capacity Ri as i; where n and i are both positive integers, and i∈[1,n].

[0071] Extracting cargo information will satisfy the inequality h×k≤min[α1×R1+α2×R2+…+α j In the equation ×Rj], the vehicles corresponding to R1, R2, ..., Rj are marked as vehicles to be dispatched, where α1, α2, ..., α j Let j be the capacity correction factor, and j∈[1, n];

[0072] The transport vehicle is obtained by determining the actual cargo Sj carried by vehicle j and the transport capacity Rj.

[0073] For example, when transporting finished products, the total space occupied by the goods is h × k = 500 m. 3 If there are vehicles with the following transport capacity R1=100m 3 R2=100m 3 R3=100m 3 R4=80m 3 R5=80m 3 R6=80m 3 R7=60m 3 R7=60m 3 R7=60m 3 The corresponding vehicles to be dispatched are R1, R2, R3, R4, R5, and R6.

[0074] It should be noted that α1, α2, ..., αj It needs to be determined based on the vehicle's capacity and the space occupied by each item of cargo.

[0075] The capacity correction factor α is among them. m The methods of obtaining it include:

[0076] Extraction capacity correction factor α m The corresponding vehicle m's transport capacity Rm is taken, and the decimal part of Rm / k is marked as a; a is compared with a preset discrimination threshold b; when a is less than the discrimination threshold b, then the formula α is used. m The capacity correction factor α is calculated as 1-a. m Otherwise, through formula α m The capacity correction factor α is calculated as 1 - |ba|. m ; where m is a positive integer and m∈[1,n], and || is the absolute value symbol.

[0077] For example, when the discrimination threshold b is 0.5, the value of α2 is 0.78.

[0078] The corresponding capacity correction factor α is calculated using this method. m This allows for a better fit between the vehicle and the cargo, reducing the probability of errors in vehicle usage.

[0079] Furthermore, based on the actual cargo Sj carried by vehicle j and the transport capacity Rj, the transport vehicles to be dispatched are determined, including:

[0080] S1: Through formula S j =h×k-(α1×R1+α2×R2+…+α j-1 Calculate the actual cargo S carried by vehicle j (×Rj-1). j ;

[0081] S2: Extract the transport capacity Rj of vehicle j and determine the actual cargo S. j Is the difference between the transport capacity Rj and the transport capacity Rj less than the preset space threshold? If yes, mark the vehicles corresponding to R1, R2, ..., Rj as transport vehicles; if no, proceed to S3.

[0082] S3: Determine the actual goods S j Check if the difference between Rj+x and Rj is less than the preset spatial threshold; if yes, mark the vehicles corresponding to R1, R2, ..., Rj-1, Rj+x as transport vehicles; if no, repeat step S3; where x is a positive integer and j+x≤n.

[0083] By adjusting vehicle j, the situation of large vehicles carrying small goods can be avoided, and the E-type vehicle can be used more rationally.

[0084] Some of the data in the above formula are calculated by removing dimensions and taking their numerical values. The formula is the closest to the real situation obtained by software simulation of a large amount of collected data. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained through simulation of a large amount of data.

[0085] The above embodiments are only used to illustrate the technical methods of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical methods of the present invention without departing from the spirit and scope of the technical methods of the present invention.

Claims

1. A multi-transportation scheduling method applied to E-type vehicles, characterized in that, Includes the following steps: Step 1: Obtain information on the goods being transported and the transport capacity of each E-type vehicle; the goods information includes the type of goods, the quantity of goods, the space occupied by each item, and the order time. The types of goods include finished products, semi-finished products, and raw materials. Step 2: After determining the priority level of transportation based on the type of goods in the cargo information, determine the weight coefficient u. Based on the weight coefficient u and the cargo information, obtain the emergency assessment coefficient of the transported goods. Allocate the cargo transportation mode according to the emergency assessment coefficient. Step 3: Allocate transport vehicles based on cargo transport mode, transport capacity, and cargo information; The measurement coefficient v, obtained based on the quantity of goods, the space occupied by each item, and the order time, includes: Label the quantity of goods and the space occupied by each item as h and k, respectively. Calculate the time difference between the order time and the current time and label it as t. Then, use the formula... Calculate the measurement coefficient v for the corresponding goods; The cargo transportation mode based on the emergency assessment coefficient includes: The emergency assessment coefficient PG is compared with several preset coefficient ranges, and an assessment level is set for the emergency assessment coefficient PG based on the comparison results. Match the cargo transportation mode corresponding to the assessment level in the rating-transportation mode mapping table; where the higher the assessment level, the more urgent the corresponding cargo transportation mode. The allocation of transport vehicles based on cargo transport mode, transport capacity, and cargo information includes: Extract cargo transportation modes and retrieve cargo information for the corresponding cargo in the order of urgency within the cargo transportation modes; Sort the transport capacity of each E-type vehicle in the absence of transport tasks from largest to smallest, and label them as R1, R2, ..., Rn respectively. Label the vehicle corresponding to the transport capacity Ri as i; where n and i are both positive integers, and i∈[1,n]. Extracting cargo information will satisfy the inequality h×k≤min[α1×R1+α2×R2+…+α j In the equation ×Rj], the vehicles corresponding to R1, R2, ..., Rj are marked as vehicles to be dispatched, where α1, α2, ..., α j Let j be the capacity correction factor, and j∈[1, n]; The transport vehicle is obtained by determining the actual cargo Sj carried by vehicle j and the transport capacity Rj.

2. The multiple transportation scheduling method applied to E-type vehicles according to claim 1, characterized in that, The process of determining the weighting coefficient u after determining the transportation priority level based on the cargo type in the cargo information includes: Extract the goods type and match the corresponding priority level to the goods type in the preset type-level mapping table; where the priority level includes important, average and unimportant. The goods are sorted in descending order of importance to obtain a sequence result; weight coefficients u1, u2, u3 are assigned to the goods in the sequence result in sequence, where u1 > u2 > u3.

3. The multiple transportation scheduling method applied to E-type vehicles according to claim 1, characterized in that, The emergency assessment coefficient for transported goods, obtained based on weighting coefficient u and cargo information, includes: Extract the weighting coefficients for each type of goods and the quantity of goods, the space occupied by each item, and the order time from the goods information; A measurement coefficient v is obtained based on the type of goods, quantity of goods, space occupied by each item, and order time; The emergency assessment coefficient for the corresponding transported goods is calculated using the formula PG=uv.

4. The multiple transportation scheduling method applied to E-type vehicles according to claim 1, characterized in that, The process of determining the transport vehicle based on the actual cargo Sj carried by vehicle j and the transport capacity Rj includes: S1: Through formula S j =h×k-(α1×R1+α2×R2+…+α j-1 Calculate the actual cargo S carried by vehicle j (×Rj-1). j ; S2: Extract the transport capacity Rj of vehicle j and determine the actual cargo S. j Is the difference between the transport capacity Rj and the transport capacity Rj less than the preset space threshold? If yes, mark the vehicles corresponding to R1, R2, ..., Rj as transport vehicles; if no, proceed to S3. S3: Determine the actual goods S j Check if the difference between Rj+x and Rj is less than the preset spatial threshold; if yes, mark the vehicles corresponding to R1, R2, ..., Rj-1, Rj+x as transport vehicles; if no, repeat step S3; where x is a positive integer and j+x≤n.

5. A multi-transportation scheduling method applied to E-type vehicles according to claim 1, characterized in that, Capacity correction factor α m The methods of obtaining it include: Extraction capacity correction factor α m The corresponding vehicle m's transport capacity Rm is taken, and the decimal part of Rm / k is marked as a; a is compared with a preset discrimination threshold b; when a is less than the discrimination threshold b, then the formula α is used. m The capacity correction factor α is calculated as 1-a. m Otherwise, through formula α m The capacity correction factor α is calculated as 1 - |ba|. m ; where m is a positive integer and m∈[1,n], and || is the absolute value symbol.

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