A resource cost calculation method based on the RSOP model for the production and manufacturing field

Through the RSOP model, the product formation process is decomposed and resource allocation and process are optimized, and the problems of information sharing difficulties and decision-making uncertainty in traditional resource management are solved, and efficient coordination of resource management and decision-making accuracy are achieved.

CN118153897BActive Publication Date: 2025-08-01HANGZHOU DIANZI UNIVERSTIY INFORMATION ENG SCHOOL
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Patent Information

Application Number
CN202410399146.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-04-03
Publication Date
2025-08-01
Estimated Expiration
2044-04-03

AI Technical Summary

Technical Problem

Traditional resource management methods have difficulties in information sharing and insufficient resource collaboration in cross-organizational collaboration, resulting in low data utilization and waste, and experience-based management models have high decision-making uncertainty in complex business environments.

Method used

Using the RSOP model, by decomposing the product formation process into an operation site, building an RSOP unit model, calculating resource types, usage and efficiency, optimizing resource configuration and process, and selecting the optimal path to achieve the optimal cost.

Benefits of technology

It has achieved optimization of organizational resource management and coordinated work in the industrial chain, improved resource utilization and decision-making accuracy, and reduced resource waste and decision-making risks.

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Abstract

The present invention discloses a resource cost calculation method based on the RSOP model for the production manufacturing field. The present invention proposes the RSOP (Resource - Site - Operation - Product) production calculation method, which is an innovative resource cost - operation revenue calculation method used to optimize organizational resource management and promote collaborative work in the industrial chain. The RSOP model provides a new perspective for analyzing and managing organizational resources by refining resource types, establishing the smallest calculation unit, and applying the concept of continuous units (cRSOP). Different from traditional resource management methods, the RSOP model emphasizes being centered around the site, configuring resources based on the site, and supporting organizational decision - making through precise calculations. This model is not only applicable to the production manufacturing process but also can be applied to all aspects of organizational management. The present invention provides a new type of calculation method for organizations in the digital transformation process, helping organizations to re - understand data, discover data, and calculate data.
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Description

Technical Field

[0001] The present invention relates to a resource cost calculation method based on the RSOP model for the production and manufacturing field. Background Art

[0002] In the contemporary era of globalization and rapid technological development, enterprises are facing unprecedented challenges and opportunities. Digital transformation has become a key strategy for enterprises to adapt to the rapidly changing market and enhance their competitiveness. However, with the continuous increase in the digital demand in the industrial community, the digital transformation strategy of a single enterprise has become insufficient to meet the complex needs of the entire industrial chain. Currently, the cooperation and collaboration among organizations are gradually increasing, and there is an urgent need to re-design the digital industrial collaboration model from a macro level to achieve the collaborative optimization and efficiency improvement of the entire industrial chain.

[0003] Traditional enterprises often face many challenges in managing internal resources. With the acceleration of external market changes, enterprises need to more efficiently integrate and optimize various resources, including human, material, financial, and information resources, etc., to enhance market competitiveness and response speed. In this context, the traditional resource management methods relying on decentralized systems such as enterprise resource planning (ERP), customer relationship management (CRM), and human resource management system (HRMS) have gradually exposed their limitations. The isolation of these systems leads to difficulties in information sharing and insufficient resource collaboration, resulting in low recognition of resource utilization and data value utilization rate and waste. In addition, the resource management mode based on experience and prediction often seems powerless in the face of complex business environments, leading to increased uncertainty and risk in decision-making.

[0004] The RSOP model calculation method takes the product as the target, analyzes the resource cost based on on-site analysis, requires a deeper understanding of data, analyzes data, provides drive and decision-making by data, and reduces the basis of traditional experience judgment. The present invention, based on the digital trend, establishes a data-driven production meta-model for production projects in the production and manufacturing field to re-understand and define data. Summary of the Invention

[0005] The present invention provides a resource cost calculation method based on the RSOP model for the production and manufacturing field to solve the problems existing in the above-mentioned prior art.

[0006] The technical solutions adopted by the present invention are as follows:

[0007] A resource cost calculation method based on the RSOP model for the production and manufacturing field, including

[0008] 1) decomposing the formation process of the product into multiple operation sites, where the operation site is the actual or logical place and position required for the execution of product formation, and the target product is continuously composed of multiple operation sites;

[0009] 2) Determine the production materials or production resources required according to each job site, create a resource dataset for each job site, and combine the resource datasets of all job sites to form a continuous unit site. The intermediate products output by each unit site become the input resources for the next unit site;

[0010] 3) Construct the magnitude expression of the RSOP unit model based on the input resources and output intermediate products of the unit site. The RSOP unit model includes job process calculation, resource type calculation, resource consumption calculation, and resource efficiency calculation;

[0011] 4) Calculate the intermediate products output by each unit site of the product according to the type, consumption, process, and efficiency of the known resources for the current product operation;

[0012] 5) Substitute the resource cost into the on-site resource allocation, process, and efficiency established by the RSOP unit model, calculate the cost of each plan for the intermediate products output by each unit site, and select the plan with the maximum difference between the value of the output intermediate product and the input resource cost;

[0013] 6) Through the continuous form cRSOP calculation and dynamic adjustment of the RSOP unit model, continuously load or cancel the site, continuously optimize the input resources, continuously adjust the operation process, select the optimal path, and achieve the optimal process cost.

[0014] Further, the resources are the usage resources and consumption resources required during the product formation process.

[0015] Further, the usage resources include one or more of human resources, equipment resources, and software resources; the consumption resources are raw material resources.

[0016] Further, the resource dataset contains the type and consumption of resources.

[0017] Further, in step 2), the matching relationship between resources and the site can be dynamically adjusted. If the resources do not meet the site requirements, adjust the resources until they match the site.

[0018] Further, the process for the RSOP unit model to calculate the cost of each plan for the intermediate products output by each unit site is as follows:

[0019] 1) Determine the site;

[0020] S i represents the i-th site, and S set represents the set of sites,

[0021]

[0022] 2) Calculate the resource type and consumption;

[0023] Resource R i The type and dosage calculation of the resource is based on the unit site. According to the matching relationship between the resource and the site, it is dynamically modified until the resource matches the site; the unit site S i A certain resource used is represented as S i (R i ), and all resources of the unit site are represented as S i (R set );

[0024] The continuous site resource set is S set (R set ), which represents the resource set invested in the continuous site. Even if the resource is repeatedly invested in different sites, it is still calculated according to each unit site;

[0025] X is the usage level of the resource, β is the bias term, and θ is the error term;

[0026] Therefore, the resource set is:

[0027] R set = R1X1 + R2X2 + …… + R n X n

[0028] The unit site resource set is:

[0029] S i (R set ) = β0 + β1R1X1 + β2R2X2 + …… + β n R n X n + θ

[0030] The continuous site resource set is:

[0031]

[0032] 3) Operation process calculation;

[0033] The operation is site-oriented. Different resources have different operation processes, which are also reflected by different efficiencies. Use O i(Si(Rset)) to represent the i-th operation of S i site;

[0034] O i (S i (R set )) = β p P(Si(Rset)) + β e E(Si(Rset)) ± e θ

[0035] Among them, β is the weight coefficient, which is used to balance the influence of different factors on efficiency;

[0036] P(S i (R set ) represents the on-site resource operation process;

[0037] E(Si(Rset)) represents the resource efficiency of this site;

[0038] e θ represents the influence of internal and external factors on the operation;

[0039] The continuous on-site operation set is:

[0040]

[0041] 4) Product calculation;

[0042] The product is the output result of the on-site operation, and R iout represents the product output by the i-th unit on-site. The output product also serves as the resource R i+1 to enter the next S i+1 unit on-site; in O set S set (R set ) contains R i , and R iout is the output of the on-site S i . Therefore, the relationship between the resource R i and the unit on-site product R iout is obtained, that is:

[0043] R iout = O set S set (R set ) = R i+1 ;

[0044] 5) On-site cost-benefit calculation;

[0045] According to the above process, substituting the resource cost, continuously optimizing, iterating, selecting the optimal resources, the optimal on-site, the highest resource efficiency, and the best internal and external factors, and calculating respectively, the maximum difference between the intermediate product output and the input resources of the unit on-site is obtained, forming the maximum difference:

[0046] MAX[(Price(R iout+1 ) - Price(R iout ))];

[0047] 6) Continuous on-site cost-benefit calculation

[0048] According to the continuous form cRSOP, comprehensively analyze to obtain the comprehensive maximum difference in the continuous unit site, and form a stable optimal resource allocation, production, and process production plan, so as to achieve the maximum difference from the target product to the initial resources:

[0049]

[0050] Furthermore, through iterative processing, correct the on-site operation efficiency of the current RSOP unit model, including:

[0051] Iterative calculation formula for on-site operation efficiency E under continuous site:

[0052] E ik = αE i-n,k (R,F ik ,γe θ ) + βE i,k (R,F ik ,γe θ ) + γE i+n,k (R,F ik ,γe θ )

[0053] Continuous cost under continuous site:

[0054]

[0055] Continuous revenue under continuous site:

[0056]

[0057] In the formula,

[0058] E i,k (R,F i,k ,γe θ ) is the efficiency function;

[0059] E i,k represents the efficiency of the kth resource R at the ith site;

[0060] F i,k is the complexity of the intermediate product operation process at the ith site, and γe θ represents the external factor influence value;

[0061] α, β, γ are weight coefficients used to balance the influence of different factors on the on-site operation efficiency of different sites.

[0062] The present invention has the following beneficial effects:

[0063] The present invention proposes a RSOP (Resource-Site-Operation-Product) production calculation method, which is an innovative resource cost-operation revenue calculation method for optimizing organizational resource management and promoting collaborative work in the industrial chain. The RSOP model provides a new perspective for analyzing and managing organizational resources by refining resource types, establishing a minimum calculation unit, and applying the concept of continuous units (cRSOP). Different from traditional resource management methods, the RSOP model emphasizes being site-centered, configuring resources based on the site, and supporting organizational decision-making through accurate calculations. This model is not only applicable to the production manufacturing process but also can be applied to all aspects of organizational management. The present invention provides a new type of calculation method for organizations in the digital transformation, which helps organizations re-understand data, discover data, and calculate data. Description of the Drawings

[0064] Figure 1 It is a schematic diagram of the process of the present invention. Detailed Embodiment

[0065] The present invention will be further described below with reference to the accompanying drawings.

[0066] As Figure 1 shown, a resource cost calculation method for the production manufacturing field based on the RSOP model of the present invention includes the following steps:

[0067] 1) Decompose the formation process of the product (Product) into resources (Resouce), site (Site), and operation (Operation).

[0068] Resources are the resources used and consumed during the formation process of the product, where the used resources include one or more of human resources, equipment resources (such as equipment, machines, tools, etc.), and software resources (such as software, services, etc.); the consumed resources are raw material resources.

[0069] The site is the actual or logical place and location required to execute the formation of the product. One site can contain multiple resources and multiple operation processes.

[0070] The operation is the process (technology or method) of forming the product, representing the tasks or operations to be executed. The operation is based on the site and resources, and the site starts the operation.

[0071] Taking the production of a refrigerator as an example, its used resources are: stamping, cutting, drilling equipment, etc. during the production of the refrigerator, the labor required during the processing of the refrigerator, the software for drawing or mechanical analysis of the corresponding parts of the refrigerator during the processing of the refrigerator, the time, space, etc. required for production.

[0072] Its consumable resources are raw materials, components, and energy consumed during the refrigerator production process, etc.

[0073] The site refers to the required place or location during the refrigerator production process, which can be in the same workshop, different workshops, or different cities.

[0074] An operation refers to the production process, production operations, and production sequence of each resource at the corresponding site during the refrigerator production process.

[0075] 2) Determine the production materials or production resources required according to each operation site, and the matching relationship between resources and the site can be dynamically adjusted. If the resources do not meet the site requirements, adjust the resources until they match the site. Make a resource dataset for each operation site, and combine the resource datasets of all operation sites to form a continuous unit site. The intermediate product output by each unit site becomes the input resource for the next unit site;

[0076] Taking the refrigerator as an example above, the production of a refrigerator can be seen as a process of assembling multiple components, and the same is true for each component. The components obtained from the previous site serve as the input resources for the next site. For example, when manufacturing a refrigerator, the refrigerator door, which is the intermediate product output by one of the sites, becomes the resource for the next refrigerator assembly site (i.e., the refrigerator door is consumed and assembled into the refrigerator).

[0077] 3) Construct a magnitude expression of the RSOP unit model based on the input resources and output intermediate products of each unit site. The RSOP unit model includes operation process calculation, resource type calculation, resource usage calculation, and resource efficiency calculation.

[0078] 4) Calculate the intermediate products output by each unit site of the product according to the type, usage, process, and efficiency of the known resources operations of the product.

[0079] 5) Substitute the resource cost into the on-site resource configuration, process, and efficiency established by the RSOP unit model, calculate the cost of each scheme for the intermediate products output by each unit site, and select the scheme with the maximum difference between the value of the output intermediate product and the input resource cost.

[0080] 6) Through the continuous form cRSOP calculation and dynamic adjustment of the RSOP unit model, continuously load or cancel sites, continuously optimize input resources, continuously adjust the operation process, select the optimal path, and achieve the optimal process cost.

[0081] The specific resource optimization and allocation in the present invention include:

[0082] 1) Determine the site;

[0083] R i represents the resource type, Si represents the i-th site, S set It represents the on-site collection, reflecting the complete and continuous site of the target product and material products.

[0084]

[0085] 2) Resource type and usage calculation;

[0086] Resource R i The type and usage calculation is based on the unit site, and is dynamically modified according to the matching relationship between resources and the site until the resources and the site are matched; the unit site S i The resource used is represented by S i (R i ), all resources on the unit site are represented as S i (R set );

[0087] The continuous field resource set is S set (R set ), which represents the set of resources invested in consecutive sites. Even if resources are invested repeatedly in different sites, they are still calculated based on each unit site;

[0088] X is the level of resource usage, β is the bias term, and θ is the error term;

[0089] Thus, the resource collection is:

[0090] R set =R1X1+R2X2+……+R n X n

[0091] The unit site resource collection is:

[0092] S i (R set )=β0+β1R1X1+β2R2X2+……+β n R n X n +θ

[0093] The continuous field resource collection is:

[0094]

[0095] 3) Operation process calculation;

[0096] Operations are site-oriented. There are many factors that affect the efficiency of on-site operations, including resource capabilities, complexity of operation processes, and external factors. Different resources have different operation processes and are also reflected in different efficiencies. i(Si(Rset)) Indicates S i The i-th operation on site;

[0097] O i (S i (R set )) = β p P(Si(Rset)) + β e E(Si(Rset)) ± e θ

[0098] Among them, β is the weight coefficient, used to balance the influence of different factors on efficiency;

[0099] P(S i (R set )) represents the on-site resource operation process. Regardless of how the resources are configured, different processes have different output capabilities.

[0100] E(Si(Rset)) represents the own ability or efficiency of the on-site resources. Different resources have different abilities or efficiencies.

[0101] e θ represents the influence of internal and external factors on the operation. The exponential form e θ indicates that with the change of certain conditions, the operation situation may change exponentially. For example, the negative impact value of the weather on some sites is very high, while the positive impact value of some factors on the site is also very high.

[0102] The continuous on-site operation set is:

[0103]

[0104] 4) Product calculation;

[0105] The product is the output result of the on-site operation, represented by R iout represents the product output by the i-th unit on-site. The output product also serves as the resource R i+1 to enter the next S i+1 unit on-site; in O set S set (R set ) contains R i , and R iout is the output of the on-site S i . Therefore, the relationship between the resource R i and the unit on-site product R iout is obtained, that is:

[0106] R iout = O set S set (R set ) = R i+1 ;

[0107] 5) On-site cost-benefit calculation;

[0108] According to the above process, bring in the resource costs, continuously optimize, iterate, select the optimal resources, optimal site, highest resource efficiency, and best internal and external factors, calculate respectively, and obtain the maximum difference between the intermediate products output by the unit site and the input resources, forming the maximum difference:

[0109] MAX[(Price(R iout+1 ) - Price(R iout ))];

[0110] 6) Calculation of continuous site cost-benefit

[0111] According to the continuous form cRSOP, comprehensively analyze to obtain the comprehensive maximum difference of the continuous unit site, form a stable optimal resource allocation, production, and process production plan, so as to achieve the maximum difference from the target product to the initial resources:

[0112]

[0113] All RSOP unit models form the RSOP model. The RSOP model has continuity. The product P participates in the operation as the resource R at the next site. Therefore, the calculation formula of the continuous model eRSOP will have multiple dimensions. The intermediate process product P becomes a variable in the entire product life cycle and is also the process resource R. The intermediate process products have attributes of different types, different costs, and different efficiencies. The efficiency of different intermediate products also changes during the product life cycle.

[0114] The efficiency of the resource R will cause the efficiency E to fluctuate under continuous site operations. The efficiency value at a certain site will change due to the next or subsequent sites.

[0115] Iterative processing needs to be carried out for this situation to correct the current site efficiency value.

[0116] Define an efficiency function E i,k (R, F i,k , γe θ ), where E i,k represents the efficiency of the kth resource R at the ith site. F i,k is the complexity of the operation process of the intermediate product at the ith site, and γe θ represents the external factor influence value. The efficiency not only depends on the conditions of the current site, but may also be affected by the previous site and even the expected influence of the subsequent sites. α, β, γ are weight coefficients used to balance the influence of different factors on the operation efficiency of different sites.

[0117] Iterative calculation formula for the on-site operation efficiency E under continuous sites:

[0118]

[0119] Continuous cost in continuous on-site

[0120]

[0121] Continuous revenue in continuous on-site

[0122]

[0123] Wherein

[0124] [[ID=1⑧]]E i,k (R,F i,k ,γe θ ) is an efficiency function

[0125] According to the above, taking the production of a plastic shell as an example of the present invention, its resources are: plastic granulators, injection molds, heating or cooling equipment, etc. during the production of plastic shells; labor required during the processing of plastic shells; software for drawing or mechanical analysis before the plastic shell is formed, etc. Its consumable resources are raw materials, components, and energy consumed during the production process used in the production of refrigerators

[0126] The on-site is the place or position required during the production process of the plastic shell, and this position can be in the same workshop, or different workshops, or different cities

[0127] The operation is the production operation and production sequence of each process at the corresponding on-site during the production process of the plastic shell. In the plastic injection process, the sequence of each process in each work step can be different. For example, when loading plastic particles, some are first cleaned, then crushed, then loaded, and then dried. Some are first cleaned, then dried, then crushed, and then loaded

[0128] The components obtained from the previous on-site are used as the input resources for the next on-site. The cleaned plastic particles obtained at the loading station can become the resources for transportation (or injection molding) at the next station. Each component after injection molding of each component becomes the resource for the next assembly process

[0129] The above is only the preferred implementation manner of the present invention. It should be noted that for those of ordinary skill in the art of this technology, several improvements can be made without departing from the principle of the present invention, and these improvements should also be regarded as the protection scope of the present invention

Claims

1. A resource cost calculation method based on the RSOP model for the production and manufacturing field, characterized in that: including 1) Decompose the formation process of manufacturing products into multiple work sites. A work site is an actual or logical place and location required for product formation. The target product is continuously composed of multiple work sites; 2) Determine the production materials or production resources required for each work site, create a resource data set for each work site, and form a continuous unit site by combining the resource data sets of all work sites. The intermediate product output by each unit site becomes the input resource for the next unit site; 3) Construct a magnitude expression of the RSOP unit model based on the input resources and output intermediate products of the unit site. The RSOP unit model includes operation process calculation, resource type calculation, resource usage calculation, and resource efficiency calculation; 4) Calculate the intermediate products output by each unit site of the product according to the type, usage, process, and efficiency of the known resources operations of the product; 5) Substitute the resource cost into the on-site resource configuration, process, and efficiency established by the RSOP unit model, calculate the cost of each scheme for the intermediate product output by each unit site, and select the scheme with the maximum difference between the value of the output intermediate product and the input resource cost; 6) Through the continuous form cRSOP calculation and dynamic adjustment of the RSOP unit model, continuously load or cancel sites, continuously optimize input resources, continuously adjust the operation process, select the optimal path, and achieve the optimal process cost; The process for the RSOP unit model to calculate the cost of each scheme for the intermediate product output by each unit site is as follows: 1) Determine the site; S i represents the i-th site, S set represents the set of sites, 2) Resource type and usage calculation; Resource R i The type and dosage calculation of is based on the unit site. According to the matching relationship between the resource and the site, it is dynamically modified until the resource matches the site; unit site S i A certain resource used is represented as S i (R i ), and all resources of the unit site are represented as S i (R set ); The continuous on-site resource set is S set (R set ) represents the set of resources invested in continuous on-site locations. Even if resources are repeatedly invested in different on-site locations, they are still calculated according to each unit on-site location; X is the usage magnitude of the resource, β is the bias term, and θ is the error term; Thus, the resource set is: R set = R1X1 + R2X2 + …… + R n X n The unit site resource set is: S i (R set ) = β0 + β1R1X1 + β2R2X2 + …… + β n R n X n + θ The continuous site resource set is: 3) Operation process calculation; The operation is site-oriented. Different resources have different operation processes, which are also reflected by different efficiencies. Use O i(Si(Rset)) to represent S i the i-th type of operation at the site; O i (S i (R set )) = β p P(Si(Rset)) + β e E(Si(Rset)) ± e θ Among them, β is the weight coefficient used to balance the influence of different factors on efficiency; P(S i (R set ) represents the on-site resource operation process; E(Si(Rset)) represents the resource efficiency of this site; e θ Indicates the influence of internal and external factors on the operation; The continuous site operation set is: 4) Product calculation; The product is the output result of on-site operations, denoted by R iout represents the product output on-site by the i-th unit, and the output product also serves as the resource R i+1 to enter the next S i+1 unit on-site; at O set S set (R set ) contains R i , and R iout is the output of on-site S i , so the relationship between the resource R i and the on-site product of the unit R iout is obtained, that is: R iout= O set S set (R set ) = R i+1 ; 5) On-site cost-benefit calculation; According to the above process, substitute the resource cost, continuously optimize, iterate, select the optimal resources, optimal site, highest resource efficiency, and best internal and external factors, calculate respectively, and obtain the maximum difference between the intermediate product output by the unit site and the input resources, forming the maximum difference: MAX[(Price(R iout+1 )-Price(R iout ))]; 6) Continuous site cost-benefit calculation According to the continuous form cRSOP, comprehensively analyze to obtain the comprehensive maximum difference of the continuous unit site, form a stable optimal resource configuration, production, and process production plan, so as to achieve the maximum difference from the target product to the initial resources:

2. The resource cost calculation method based on the RSOP model for the production and manufacturing field according to claim 1, wherein: The resources are the used resources and consumed resources required in the product formation process.

3. The resource cost calculation method based on the RSOP model for the production and manufacturing field according to claim 2, characterized in that: The used resources include one or more of human resources, equipment resources, and software resources; the consumed resource is raw material resources.

4. The resource cost calculation method based on the RSOP model for the production and manufacturing field as described in claim 1, wherein: The resource data set contains the type and usage of resources.

5. The resource cost calculation method based on the RSOP model for the production manufacturing field according to claim 1, characterized in that: In step 2), the matching relationship between resources and sites can be dynamically adjusted. If the resources do not meet the site, adjust the resources until the resources match the site.

6. The resource cost calculation method based on the RSOP model for the production and manufacturing field according to claim 1, characterized in that: Through iterative processing, correct the on-site operation efficiency of the current RSOP unit model, including: The iterative calculation formula for the on-site operation efficiency E under continuous sites: E ik = αE i-n,k (R,F ik ,γe θ ) + βE i,k (R,F ik ,γe θ ) + γE i+n,k (R,F ik ,γe θ ) The continuous cost under continuous sites: Continuous revenue under continuous on-site conditions: In the formula, E i,k (R,F i,k ,γe θ ) is an efficiency function; E i,k Denote the efficiency of the k-th resource R at the i-th site; F i,k is the complexity of the intermediate product operation process at the i-th site, γe θ represents the external factor influence value; α, β, and γ are weight coefficients used to balance the impacts of different factors on the efficiency of different on-site operations.

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