Straw returning machine operation service pricing method and system

Abstract

The invention discloses a straw returning machine operation service pricing method and system, and relates to the technical field of agricultural machinery operation service pricing. The objective of the invention is to solve the problems of insufficient scientificity, incomplete cost accounting, no consideration of market competition and low intelligent level of an existing agricultural machinery operation service pricing method. According to the method, a standardized efficiency formula and cost composition are adopted, and the operation efficiency, the fixed cost and the variable cost are accurately calculated. A correction coefficient and a difficulty factor are introduced to objectively reflect the influence of different land parcel conditions on the operation efficiency. And based on the market demand distribution model and the Nash equilibrium condition, calculating the equilibrium pricing under the market competition condition. And the price is dynamically adjusted through the correction term to adapt to different market competition pressures. A data input module, a pricing calculation module, a data storage module and a result display module are established, and standardization and visualization of the pricing process are achieved. And the pricing result and each cost ratio are displayed by adopting a visual report, so that the user experience and the decision-making efficiency are improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of agricultural machinery operation service pricing. Background Art

[0002] In agricultural production, the pricing of agricultural machinery operation services has always been a key factor affecting agricultural production efficiency and the profitability of agricultural machinery service enterprises. However, the current operation service pricing methods generally have the following problems:

[0003] 1. The experience-based pricing method is not scientific

[0004] Traditional operation service pricing often relies on the experience of agricultural machine operators or service providers, using simple cost-plus methods or market average price methods. This method fails to consider the differences in different operation conditions (such as plot size, straw density, terrain difficulty, etc.), resulting in a lack of scientific nature in prices. For example, in the case of high straw density or high plot complexity, the operation efficiency will be significantly reduced. If the same price is still adopted, it is easy to cause losses or customer dissatisfaction.

[0005] 2. Lack of accurate assessment of operation efficiency

[0006] Operation efficiency is the core factor affecting costs and profits, but there is a lack of a standardized efficiency assessment model in the existing technology. Factors such as straw density, soil conditions, and mechanical status of different plots will have a significant impact on operation efficiency. For example, an increase in straw density usually leads to a decrease in efficiency, but the degree of its impact cannot be quantified, resulting in a large pricing deviation.

[0007] 3. The cost composition is not refined and dynamically analyzed

[0008] Traditional cost accounting methods usually only consider direct costs such as fuel, labor, and machinery depreciation, and fail to refine indirect costs such as insurance costs, equipment transportation costs, maintenance costs, and marketing. In addition, cost accounting lacks dynamics and fails to reflect factors such as market price fluctuations and equipment aging in a timely manner. For example, when fuel prices rise or the equipment maintenance frequency increases, if the price is not adjusted, the profit will be affected.

[0009] 4. Failure to consider market game and competition factors

[0010] There are usually multiple competitors in the agricultural machinery operation service market. When choosing services, customers will consider factors such as price, service quality, and response speed. The existing pricing methods fail to effectively consider the market competition situation and the price sensitivity of customers, which easily leads to overpricing or underpricing. For example, in a region with fierce market competition, using the cost-plus method may result in too high a price and loss of customers; while in a region with less competition, the price may be too low, wasting the profit margin.

[0011] 5. Lack of support from an intelligent and visual pricing system

[0012] Currently, the pricing process for agricultural machinery operation services usually uses manual calculations or simple spreadsheet tools, which are inefficient and error-prone. At the same time, customers find it difficult to understand the pricing basis, lacking transparency and affecting trust. For example, customers often cannot intuitively see the cost composition and market adjustment factors, resulting in low acceptance of prices.

[0013] In summary, the existing technologies have problems such as insufficient scientificity, incomplete cost accounting, failure to consider market competition, and low level of intelligence in the pricing of agricultural machinery operation services. Therefore, there is an urgent need for a scientific pricing method and intelligent system based on the game equilibrium of cost and market to address the deficiencies in the existing technologies and improve the rationality, transparency, and market adaptability of pricing. Summary of the Invention

[0014] The present invention is to solve the problems of insufficient scientificity, incomplete cost accounting, failure to consider market competition, and low level of intelligence in the existing pricing methods for agricultural machinery operation services. Now, a pricing method and system for straw returning machine operation services are provided.

[0015] A pricing method for straw returning machine operation services includes:

[0016] Calculating the equilibrium pricing P of the i-th market competitor based on cost analysis i * , and calculating the game equilibrium correction term ΔP based on this equilibrium pricing P i * . When ΔP game > 0, increase the pricing of agricultural machinery operation services; when ΔP game < 0, decrease the pricing of agricultural machinery operation services; game i

[0017] The expression of the equilibrium pricing P * is:

[0018]

[0019] where C i is the total operation cost of the i-th market competitor, λ is the price sensitivity parameter, and n is the number of market competitors;

[0020] The expression of the game equilibrium correction term ΔP game is:

[0021]

[0022] where P base is the theoretical pricing.

[0023] Furthermore, the calculation method of the above-mentioned theoretical pricing P base includes:

[0024] Based on the theoretical total operation cost C T combined with the expected profit rate γ, the theoretical pricing P is obtained base :

[0025] P base = C T ·(1 + γ).

[0026] Furthermore, the calculation method of the above-mentioned theoretical total operation cost C T includes:

[0027] Based on the fixed cost F x , the total variable cost C total and the operation time T, the theoretical total operation cost C is calculated T :

[0028] C T = F x + T·C total .

[0029] Furthermore, the expressions of the above-mentioned fixed cost F x and the total variable cost C total are respectively:

[0030] F x = C machine + C insurance + C tran ,

[0031] C total = C lab + C fuel + C depr + C main + C other ,

[0032] where C machine is the equipment purchase cost, C insurance is the insurance cost, C tran is the equipment transportation cost, C lab is the labor cost, C fuel is the fuel cost, C depr is the equipment depreciation cost, C main is the maintenance cost, C other is the management expense.

[0033] Furthermore, the calculation method of the above-mentioned operation time T includes:

[0034] Calculate the actual operation efficiency r:

[0035] r = r0·f(d)·η,

[0036] where r0 is the benchmark operation efficiency under the standard straw density, f(d) is the correction function, and its expression is Both k1 and k2 are correction coefficients, d is the plot difficulty factor, and η is the efficiency coefficient considering the comprehensive site, environment, and equipment status;

[0037] Calculate the operation time T according to the actual operation efficiency r:

[0038]

[0039] where A is the operation area.

[0040] Furthermore, the values of the above correction coefficients k1 and k2 are 0.2 and 0.4 respectively;

[0041] The value of the plot difficulty factor d is 0.5.

[0042] Furthermore, the total operation cost C of the i-th market competitor i is calculated as follows:

[0043] Construct the profit function Π of the i-th market competitor i , and then obtain the total operation cost C of the i-th market competitor i :

[0044] Π i =(P i -C i )·Q i ,

[0045] where P i is the service price of the i-th market competitor,

[0046] Q i represents the market share of the i-th market competitor, and its expression is:

[0047]

[0048] where D is the market demand;

[0049] The profit function Π i satisfies the Nash equilibrium condition:

[0050]

[0051] Furthermore, the above straw returning machine operation service pricing method further includes calculating the final operation service price P according to the game equilibrium correction term ΔP game , including:

[0052]

[0053] A pricing system for straw returning machine operation services, comprising: a data input module and a pricing calculation module,

[0054] The data input module is used to collect information on the agricultural machinery operation plot and market information and send them to the pricing calculation module;

[0055] The information on the agricultural machinery operation plot includes: the benchmark operation efficiency under the standard straw density, the efficiency coefficient integrating the site, environment and equipment status, and the operation area;

[0056] The market information includes: equipment purchase cost, insurance cost, equipment transportation cost, labor cost, fuel cost, equipment depreciation cost, maintenance cost and management cost;

[0057] The pricing calculation module is used to adjust the pricing of agricultural machinery operation services according to the above-mentioned pricing method for straw returning machine operation services.

[0058] Furthermore, the above-mentioned pricing system for straw returning machine operation services further includes: a data storage module and a result display module,

[0059] The data storage module is used to store historical pricing data, user input data, calculation results, dates and customer information;

[0060] The result display module is used to display the calculation results of the pricing of agricultural machinery operation services.

[0061] The present invention proposes a pricing method and system for straw returning machine operation services, which adopts a standardized efficiency formula and cost composition to accurately calculate the operation efficiency, fixed cost and variable cost. By introducing a correction coefficient and a difficulty factor, it objectively reflects the impact of different plot conditions on the operation efficiency. Based on the market demand distribution model and Nash equilibrium conditions, it calculates the equilibrium pricing under market competition conditions. The price is dynamically adjusted through a correction term to adapt to different market competition pressures. Four major modules of data input, pricing calculation, data storage and result display are established to realize the standardization and visualization of the pricing process. Visual reports (line charts, bar charts, pie charts) are used to display the pricing results and the proportion of each cost, improving the user experience and decision-making efficiency.

[0062] In summary, the beneficial effects of the present invention are as follows:

[0063] 1. Improve the scientificity and rationality of the pricing of operation services.

[0064] 2. Promote the healthy development of market competition and ensure the profit level of operation service providers.

[0065] 3. Simplify the pricing process to enhance user experience and market response speed. Description of the Drawings

[0066] Figure 1 It is a schematic diagram of a pricing method for straw returning machine operation services;

[0067] Figure 2 It is a structural diagram of a pricing system for straw returning machine operation services;

[0068] Figure 3 It is a schematic diagram of a pricing system for straw returning machine operation services. Detailed Implementation Modes

[0069] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present invention. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0070] Detailed Implementation Mode 1: Refer to Figure 1 Specifically describe this implementation mode. A pricing method for straw returning machine operation services described in this implementation mode includes:

[0071] 1. Cost and Efficiency

[0072] Calculate the actual operation efficiency r:

[0073] r = r0·f(d)·η,

[0074] Among them, r0 is the benchmark operation efficiency under the standard straw density (unit: hectares per hour).

[0075] f(d) is a correction function, and its expression is The land condition represents the land situation, such as flat or potholed land; both k1 and k2 are correction coefficients used to reflect the impact of increased straw density on the operation efficiency, and generally take the values of k1 = 0.2 and k2 = 0.4; d is the plot difficulty factor, and generally takes the value of d = 0.5.

[0076] η is the efficiency coefficient considering the site, environment, and equipment status, and its value range is 0 < η ≤ 1.

[0077] Calculate the operation time T:

[0078]

[0079] Among them, A is the operation area (unit: hectare).

[0080] Calculate the fixed cost F separately x and the total variable cost C total :

[0081] F x = C machine + C insurance + C tran ,

[0082] C total = C lab + C fuel + C depr + C main + C other ,

[0083] Among them, C machine is the equipment purchase cost, C insurance is the insurance cost, C tran is the equipment transportation cost, C lab is the labor cost (yuan / hour), C fuel is the fuel cost (yuan / hour), C depr is the equipment depreciation cost (yuan / hour), C main is the maintenance cost (yuan / hour), C other is the management expense (yuan / hour).

[0084] Based on the fixed cost F x , the total variable cost C total and the operation time T, calculate the theoretical total operation cost C T :

[0085] C T = F x + T·C total .

[0086] Based on the theoretical total operation cost C T combined with the expected profit rate γ (for example, when the expected profit is 10%, γ = 0.1), obtain the theoretical pricing P base :

[0087] P base = C T ·(1 + γ).

[0088] 2. Game equilibrium correction

[0089] Construct a market demand distribution model:

[0090]

[0091] Among them, P iis the service price of the i-th market competitor, Q i is the market share of the i-th market competitor, obtained using the logit model; n is the number of market competitors; D is the market demand, i.e., the total operating area; λ is the price sensitivity parameter, reflecting the sensitivity of customers to price changes, and generally takes the value of λ = 0.8.

[0092] Define the profit function and equilibrium conditions:

[0093] The profit function Π of the i-th market competitor i :

[0094] Π i = (P i - C i ) · Q i ,

[0095] where C i is the total operating cost of the i-th market competitor.

[0096] This profit function Π i satisfies the Nash equilibrium condition:

[0097]

[0098] The equilibrium pricing P of the i-th market competitor i * is:

[0099]

[0100] Calculate the game equilibrium correction term ΔP game :

[0101]

[0102] When ΔP game > 0, it indicates that the market competition pressure is small, and the pricing can be higher than the cost-based pricing;

[0103] When ΔP game < 0, it indicates that the market competition is fierce and the pricing needs to be reduced.

[0104] 3. The final operating service pricing P is a percentage of the base cost pricing P base :

[0105]

[0106] Specific implementation method 2: Refer to Figure 2 and 3Specifically describing this embodiment, a pricing system for straw returning machine operation services described in this embodiment includes: a data input module, a pricing calculation module, a data storage module, and a result display module.

[0107] The data input module is used to collect all required plot information and market information data, and after sorting, transmit it to the pricing calculation module.

[0108] The pricing calculation module is used to calculate the theoretical price P using the operation service pricing method based on cost analysis and game equilibrium theory described in the first specific embodiment according to the input data. base And the game equilibrium correction term ΔP game , and then obtain the final price P.

[0109] The data storage module is used to retain historical pricing data for subsequent analysis and optimization; it is also used to store user input data, calculation results, dates, customer information, etc.

[0110] The result display module is used to intuitively display the pricing calculation results. The display content includes: basic cost, game correction, and final price; a pie chart of the proportion of each expense; a line chart of the historical pricing change trend.

[0111] Although the present invention has been described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. Therefore, it should be understood that many modifications can be made to the exemplary embodiments, and other arrangements can be designed, as long as they do not deviate from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the different dependent claims and the features described herein can be combined in a manner different from that described in the original claims. It should also be understood that the features described in connection with a single embodiment can be used in other described embodiments.

Claims

1. A pricing method for straw return machine operation service, characterized in that: include: Calculate the equilibrium price P of the ith market competitor based on cost analysis i * , and based on this equilibrium pricing P i * Calculate the game equilibrium correction term ΔP game , when ΔP game > 0, increase the price of agricultural machinery operation services. game When <0, the price of agricultural machinery operation services will be reduced; The equilibrium price P i * The expression is: Among them, C i is the total operating cost of the ith market competitor, λ is the price sensitivity parameter, and n is the number of market competitors; The game equilibrium correction term ΔP game The expression is: Among them, P base Put a price on the theory.

2. A straw return machine operation service pricing method according to claim 1, characterized in that: The theoretical pricing P base The calculation methods include: Based on the theoretical total activity cost C T Combined with the expected profit rate γ, the theoretical pricing P is obtained base : P base =C T ·(1+γ).

3. A straw return machine operation service pricing method according to claim 2, characterized in that: The theoretical total operating cost C T The calculation methods include: Based on fixed cost F x , total variable cost C total Calculate the theoretical total operating cost C using the operating time T T : C T =F x +T·C total 。 4. A straw return machine operation service pricing method according to claim 3, characterized in that: The fixed cost F x and total variable cost C total The expressions are: F x =C machine +C insurance +C tran , C total =C lab +C fuel +C depr +C main +C other , Among them, C machine is the equipment purchase cost, C insurance is the insurance cost, C tran is the equipment transportation cost, C lab is labor cost, C fuel is the fuel cost, C depr is the equipment depreciation cost, C main is the maintenance cost, C other For management expenses.

5. The pricing method for straw return machine operation service according to claim 3 is characterized in that: The calculation method of the operation time T includes: Calculate the actual operating efficiency r: r=r0·f(d)·η, Among them, r0 is the benchmark operating efficiency under standard straw density, f(d) is the correction function, and its expression is: k1 and k2 are both correction coefficients, d is the difficulty factor of the plot, and η is the efficiency coefficient of the comprehensive site, environment and equipment status; Calculate the operation time T according to the actual operation efficiency r: Where A is the operating area.

6. A straw return machine operation service pricing method according to claim 5, characterized in that: The values ​​of the correction coefficients k1 and k2 are 0.2 and 0.4 respectively; The value of the plot difficulty factor d is 0.

5.

7. The pricing method for straw return machine operation service according to claim 1, characterized in that: The total operating cost C of the i-th market competitor i The calculation methods include: Construct the profit function Π of the i-th market competitor i , and then obtain the total operating cost C of the i-th market competitor i : Π i =(P i -C i )·Q i , Among them, P i is the service price of the ith market competitor, Q i represents the market share of the ith market competitor, and its expression is: Where D is market demand; The profit function Π i Satisfying the Nash equilibrium conditions:

8. A straw return machine operation service pricing method according to claim 1, 2, 3, 4, 5, 6 or 7, characterized in that: Also includes a game equilibrium correction term ΔP game Calculate the final job service price P, including:

9. A straw return machine operation service pricing system, characterized in that: include: Data input module and pricing calculation module, The data input module is used to collect agricultural machinery operation plot information and market information and send them to the pricing calculation module; The agricultural machinery operation plot information includes: the benchmark operation efficiency under the standard straw density, the efficiency coefficient of the comprehensive site, environment and equipment status, and the operation area; The market information includes: equipment purchase cost, insurance cost, equipment transportation cost, labor cost, fuel cost, equipment depreciation cost, maintenance cost and management cost; The pricing calculation module is used to adjust the pricing of agricultural machinery operation services according to a straw return machine operation service pricing method according to any one of claims 1 to 8.

10. A straw return machine operation service pricing system according to claim 9, characterized in that: Also includes: Data storage module and result display module, The data storage module is used to store historical pricing data, user input data, calculation results, dates and customer information; The result display module is used to display the agricultural machinery operation service pricing calculation results.

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