Model selection method, system and device for medical logistics transmission system

Abstract

The invention belongs to the technical field of intelligent medical treatment, and provides a model selection method, system and device of a medical logistics transmission system, and the model selection method comprises the steps: constructing a model selection network which comprises a target layer, a criterion layer, an index layer and a scheme layer; obtaining the score of each index based on the performance parameter of each index in each medical logistics transmission system; obtaining the weight of each index based on the importance degree of each medical logistics transmission system for each criterion and each index and the importance degree of each criterion for the decision target in the model selection network; performing weighted fusion on the score and the weight of each index of each medical logistics transmission system to obtain a comprehensive value of each medical logistics transmission system; and taking the medical logistics transmission system corresponding to the highest comprehensive value as the optimal scheme. The method has operability, and model selection can be carried out objectively and comprehensively.

Description

Technical Field

[0001] This invention relates to the field of intelligent medical technology, and in particular to the selection method, system and device for medical logistics transmission systems. Background Technology

[0002] In recent years, the rapid development of information technology has greatly promoted the intelligent transformation of various industries. Hospitals have introduced logistics and transportation systems for internal material distribution, drug transport, sample delivery, and medical record transmission to achieve efficient hospital operations. The introduction of medical logistics and transportation systems is of great significance for optimizing hospital operations and improving the quality of medical services.

[0003] Currently, there are various types of medical logistics transportation systems, including medical pneumatic logistics transportation systems, rail-based logistics transportation systems, box-type logistics transportation systems, and AGV (Automated Guided Vehicle) transportation systems.

[0004] Hospitals typically select medical logistics transmission systems based on experience or economic cost considerations, making it difficult to comprehensively and objectively assess the overall applicability of different systems. This can lead to biased selection decisions, which may adversely affect the hospital's daily operational efficiency, service response speed, and even cost control after the system is built, thus creating hidden dangers that could impact the hospital's long-term development.

[0005] Therefore, there is an urgent need for an objective, comprehensive, and operable selection scheme for medical logistics transmission systems. Summary of the Invention

[0006] In order to overcome the bias caused by the one-sided and subjective selection of medical logistics transmission systems in the prior art, the present invention provides a method, system and device for selecting medical logistics transmission systems.

[0007] According to one aspect of the present invention, a method for selecting a medical logistics transmission system is provided, comprising: Network construction steps: Construct a selection network, which includes an objective layer, a criterion layer, an indicator layer, and a solution layer. The objective layer is used to set decision objectives; the criterion layer is used to set criteria related to achieving the decision objectives; the indicator layer is used to set indicators representing the degree to which the criteria are met; and the solution layer is used to set multiple medical logistics transmission systems that the hospital may choose. Scoring steps: Scores for each indicator are obtained based on the performance parameters of each indicator in each medical logistics transmission system; Weighting steps: Based on the importance of each medical logistics transmission system to each criterion and indicator in the selection network, and the importance of each criterion to the decision objective, the weights of each indicator are obtained. Steps to obtain comprehensive value: Weighted fusion of the scores and weights of each indicator of each medical logistics transmission system to obtain the comprehensive value of each medical logistics transmission system; Selection steps: Select the medical logistics transmission system with the highest overall value as the optimal solution.

[0008] In one possible implementation, the criteria include one or more of efficiency, safety, economy, and comfort.

[0009] In one possible implementation, the indicators corresponding to the efficiency criteria include one or more of waiting time, transmission speed, spatial flow design, percentage of manpower saved, transportation demand satisfaction rate, and information system intelligence; the indicators corresponding to the safety criteria include one or more of transmission stability, transportation error rate, fire safety, flow line safety, and disinfection management; the indicators corresponding to the economic criteria include one or more of procurement cost, operating cost, service life, and unit energy consumption; and the indicators corresponding to the comfort criteria include one or more of space requirements, operating noise, visual aesthetics, and personnel interference.

[0010] In one possible implementation, the medical logistics transport system includes multiple systems such as a pneumatic transport system, a rail-based transport system, a box-type transport system, and an AGV (Automated Guided Vehicle) transport system.

[0011] In one possible implementation, the weight acquisition step includes: Steps for obtaining criterion weights: Obtain the criterion weights of each criterion based on their relative importance to the decision objective; Steps for obtaining initial indicator weights: Based on the importance of each indicator for each criterion, obtain the initial indicator weights for each indicator corresponding to each criterion. Steps for obtaining indicator weights: The product of the criterion weight and the initial indicator weight of the corresponding indicator is used as the indicator weight, thereby obtaining the indicator weight of each indicator.

[0012] In one possible implementation, the step of obtaining the criterion weights includes: The target-level judgment matrix is ​​obtained based on the importance of each criterion for the decision objective. Based on the target layer judgment matrix, the criterion weights of each criterion are obtained using the following formula, thus yielding the criterion weight vector: in, For the standard quantity, ; The target layer judgment matrix; For the first The first criterion and the first The degree of importance among the criteria , , ; The target layer judgment matrix is ​​the first Product of row elements; For the first The criterion weights of each criterion; The normalized version The criterion weights of each criterion; This is the weight vector.

[0013] In one possible implementation, the step of obtaining the criterion weights further includes: The judgment criterion is whether the weight vector meets the consistency check. If the consistency check is not met, the importance of the criteria is adjusted until the consistency check is met.

[0014] In one possible implementation, the step of determining whether the weight vector of the judgment criterion meets the consistency check includes: The maximum eigenvalue of the criterion layer is obtained based on the target layer judgment matrix and criterion weights using the following formula: in, This represents the maximum eigenvalue of the criterion layer corresponding to a medical logistics transmission system. The consistency index of the criterion layer is obtained based on the largest eigenvalue of the criterion layer using the following formula: in, This refers to the consistency index of the criteria layer for a medical logistics transmission system. The consistency ratio at the criterion level is obtained using the following formula based on the criterion-level consistency index: in, This is a criterion-level stochastic consistency index corresponding to a medical logistics transmission system. The consistency ratio of the criteria layer corresponding to a medical logistics transmission system; Determine if the consistency ratio at the criteria level is less than 0.1; If the consistency ratio of the criterion layer is less than 0.1, then the criterion weight vector meets the consistency check. If the consistency ratio of the criterion layer is not less than 0.1, then the criterion weight vector does not meet the consistency check.

[0015] In a possible implementation, the step of obtaining the initial index weights includes: Obtaining the criterion-level judgment matrix for each criterion based on the importance degree among the indicators for each criterion; Based on the criterion-level judgment matrix for each criterion, obtaining the initial index weights of the indicators corresponding to each criterion through the following formula, thereby obtaining the initial index weight vector: where is the number of indicators for one criterion, ; is the criterion-level judgment matrix for one criterion; is the importance degree between the th indicator and the th indicator, , , ; is the product of the elements in the th row of the criterion-level judgment matrix; is the initial index weight of the th indicator; is the initial index weight of the th indicator after normalization processing.

[0016] In a possible implementation, the step of obtaining the initial index weights further includes: Judging whether the initial index weight vector meets the consistency check; If it does not meet the consistency check, adjust the importance degree between the indicators until it meets the consistency check.

[0017] In a possible implementation, the step of judging whether the initial index weight vector meets the consistency check includes: Obtaining the maximum eigenvalue of the index layer through the following formula based on the criterion-level judgment matrix and the initial index weights: where is the maximum eigenvalue of the index layer corresponding to a medical logistics transmission system; Obtaining the consistency index of the index layer through the following formula based on the maximum eigenvalue of the index layer: where is the consistency index of the index layer corresponding to a medical logistics transmission system; The consistency ratio at the indicator layer is obtained using the following formula based on the indicator layer consistency metric: in, This is a stochastic consistency index for a medical logistics transmission system. This refers to the consistency ratio of the indicator layer corresponding to a medical logistics transmission system. Determine if the consistency ratio of the indicator layer is less than 0.1; If the consistency ratio of the indicator layer is less than 0.1, then the initial indicator weight vector meets the consistency check. If the consistency ratio of the indicator layer is not less than 0.1, then the initial indicator weight vector does not meet the consistency check.

[0018] In one possible implementation, the selection method for the medical logistics transportation system further includes: The target layer judgment matrix or the criterion layer judgment matrix is ​​obtained by using the pairwise comparison method and the 1-9 level scaling method.

[0019] In one possible implementation, the scoring step includes: Construct a mapping between the range of performance parameters for the metrics and their corresponding score ratings; Obtain the performance parameters of the indicator; Based on the performance parameters of the mapping and the metrics, the scores of the metrics are obtained.

[0020] In one possible implementation, the scoring step further includes: The scores of the indicators are normalized.

[0021] In one possible implementation, the scoring step further includes: The performance parameters of the indicators were scored using a 5-point Likert scale.

[0022] According to one aspect of the present invention, a selection system for a medical logistics transmission system is provided, comprising: The selection network construction module is configured to construct a selection network, which includes an objective layer, a criterion layer, an indicator layer, and a solution layer. The objective layer is used to set decision objectives; the criterion layer is used to set criteria related to achieving the decision objectives; the indicator layer is used to set indicators representing the degree to which the criteria are met; and the solution layer is used to set multiple medical logistics transmission systems that the hospital may choose. The scoring module is configured to obtain scores for each indicator based on the performance parameters of each indicator in each medical logistics transmission system. The weight acquisition module is configured to obtain the weight of each indicator based on the importance of each indicator to each criterion in the selection network of each medical logistics transmission system and the importance of each criterion to the decision objective. The module for obtaining the comprehensive value of the solution is configured to weight and integrate the scores and weights of various indicators of each medical logistics transmission system to obtain the comprehensive value of each medical logistics transmission system. The selection module is configured to select the medical logistics transportation system with the highest comprehensive value among the comprehensive values ​​of the various medical logistics transportation systems obtained from the solution scoring module as the optimal solution.

[0023] According to a third aspect of the present invention, a computing device is provided, comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the above-described medical logistics transmission system selection method are implemented.

[0024] According to a fourth aspect of the present invention, a computer-readable storage medium is provided that stores computer-executable instructions, which, when executed by a processor, implement the steps of the above-described method for selecting a medical logistics transmission system.

[0025] According to a fifth aspect of the present invention, a computer program is provided, wherein when the computer program is executed in a computer, the computer is instructed to perform the steps of the above-described method for selecting a medical logistics transmission system.

[0026] The selection method for medical logistics transmission systems described in this invention provides a more systematic, objective, and operable approach to selecting such systems. It is suitable for guiding the selection decisions of logistics transmission systems in large medical complexes, ensuring that the selected system can efficiently and stably support the daily operations of the hospital, and avoiding the problems of lack of scientific basis and systematic evaluation in the selection decisions of existing technologies.

[0027] This invention combines the actual situation and characteristics of hospital logistics operations to construct a comprehensive, objective, and highly operable selection decision support method for logistics transmission systems in large-scale medical complexes.

[0028] This invention abandons the empiricist-driven model and constructs a structured selection and evaluation system based on extensive research and in-depth analysis, significantly improving the scientific rigor and objectivity of selection decisions. By introducing a systematic and multi-dimensional evaluation framework, it can comprehensively consider the integration of different logistics and transportation systems with hospital architectural design, actual operational needs, technical performance, cost-effectiveness, and other comprehensive applicability factors. This significantly reduces decision-making biases caused by subjective experience or one-sided considerations in traditional methods, ensuring more accurate and reliable selection results.

[0029] This invention fully considers the complex realities and characteristics of hospital logistics operations (such as transportation demand fulfillment rate, fire safety, transmission speed, percentage of manpower savings, spatial flow design, and service life), and constructs a comprehensive indicator system covering efficiency, safety, economy, and comfort. This systematic evaluation framework ensures that selection decisions take into account the hospital's current and future comprehensive needs. At the same time, choosing the most suitable system helps avoid frequent modifications, high maintenance costs, or premature obsolescence due to system incompatibility, achieving optimal control of the entire lifecycle cost and improving the hospital's return on investment.

[0030] This invention provides a clear, standardized, and executable selection process and methodology. Through specific evaluation models, weighting settings, and decision-making rules, it offers hospital administrators a clear and standardized operating procedure and evaluation criteria, making the complex selection process systematic and easy to implement. This helps decision-makers with varying levels of experience to conduct evaluations based on unified standards, improving decision-making efficiency and consistency. Attached Figure Description

[0031] Figure 1 This is a schematic block diagram of an embodiment of the selection system for the medical logistics transmission system described in this invention; Figure 2 This is a schematic diagram illustrating the configuration of an embodiment of the selection network described in this invention; Figure 3 This is a schematic diagram of a preferred embodiment of the selection network described in this invention; Figure 4 This is a flowchart illustrating an embodiment of the selection method for the medical logistics transmission system described in this invention; Figure 5 This is a schematic diagram of an application scenario of the selection method for the medical logistics transmission system described in this invention; Figure 6 This is a schematic diagram of another application scenario of the selection method for the medical logistics transmission system described in this invention; The system includes: 100. Medical logistics transmission system selection system; 1. Selection network construction module; 11. Selection network; 111. Target layer; 112. Criterion layer; 113. Indicator layer; 114. Solution layer; 2. Scoring acquisition module; 21. Mapping unit; 22. Performance parameter acquisition unit; 23. Scoring unit; 3. Weight acquisition module; 31. Judgment matrix acquisition unit; 32. Weight acquisition unit; 321. Criterion weight acquisition unit; 322. Initial indicator weight acquisition unit; 33. Verification unit; 34. Adjustment unit; 35. Weight optimization unit; 36. Indicator weight acquisition unit; 4. Solution comprehensive value acquisition module; 5. Selection module; 200. Computing equipment; 201. Scoring; 202. Indicator weight; 203. Comprehensive value; 204. Optimal selection; 210. Memory; 220. Processor; 230. Bus; 240. Access device; 250. Database; 260. Network. Detailed Implementation

[0032] Numerous specific details are set forth in the following description to provide a full understanding of the invention. However, the invention can be practiced in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0033] The terminology used in one or more embodiments of the present invention is for the purpose of describing particular embodiments only and is not intended to limit the scope of the invention. The singular forms “a” and “the” as used in one or more embodiments of the invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of the invention refers to and includes any or all possible combinations of one or more associated listed items.

[0034] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of the present invention, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of the present invention, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0035] The selection of existing medical logistics transportation systems relies too heavily on experience-based judgment or focuses on only a single dimension, lacking systematicity and objectivity, and making it difficult to comprehensively and accurately assess the overall applicability of different logistics transportation systems in a specific hospital environment.

[0036] To scientifically and rationally select and apply medical logistics transportation systems, this invention provides a selection system 100 for medical logistics transportation systems, such as... Figure 1 As shown, it includes: Selection network construction module 1 is configured to construct selection network 11, wherein selection network 11 is as follows: Figure 2 As shown, it includes a target layer 111, a criterion layer 112, an indicator layer 113, and a solution layer 114. The target layer 111 is used to set decision objectives; the criterion layer 112 is used to set criteria related to achieving decision objectives; the indicator layer 113 is used to set indicators representing the degree of criterion satisfaction; and the solution layer 114 is used to set multiple medical logistics transmission systems for the hospital to choose from, with each medical logistics transmission system serving as a solution. The scoring module 2 is configured to obtain scores for each indicator based on the performance parameters of each indicator in each medical logistics transmission system. The weight acquisition module 3 is configured to obtain the weight of each indicator based on the importance of each indicator to each criterion in the selection network 11 for each medical logistics transmission system and the importance of each criterion to the decision objective. The comprehensive value acquisition module 4 is configured to weight and integrate the scores and weights of each indicator of each medical logistics transmission system to obtain the comprehensive value of each medical logistics transmission system. Selection module 5 is configured to select the medical logistics transmission system with the highest comprehensive value among the comprehensive values ​​of each medical logistics transmission system obtained from the solution scoring module as the optimal solution.

[0037] In one feasible embodiment, such as Figure 3 As shown in Table 1, the selection criteria for Network 11 include one or more of the following: efficiency, safety, economy, and comfort. Efficiency, as the core dimension, directly relates to the response time and operational efficiency of medical services, reducing reliance on manpower by improving transmission efficiency and achieving precise and rapid material flow. Safety focuses on the specific characteristics of medical scenarios, ensuring the integrity of material transmission and preventing the risk of cross-infection, maintaining patient safety and stable hospital operation. Economy considers the entire lifecycle cost, balancing initial investment and long-term operational benefits, supporting green and sustainable development. Comfort aims to optimize the treatment environment, improving patient experience and medical staff efficiency by reducing system interference. The indicators corresponding to the efficiency criteria include one or more of the following: waiting time, transmission speed, spatial flow design, percentage of manpower saved, transportation demand satisfaction rate, and information system intelligence. The safety criteria include one or more of the following indicators: transmission stability, transportation error rate, fire safety, flow line safety, and disinfection management. The indicators corresponding to the economic criteria include one or more of the following: procurement cost, operating cost, service life, and unit energy consumption. The comfort criteria include one or more of the following indicators: space requirements, operating noise, visual aesthetics, and human interference.

[0038] Table 1 The specific meanings of each indicator in the table above are as follows: Waiting time refers to the time interval between when an item sends a transfer request and when the transfer actually begins. This metric directly reflects the system's response speed and is crucial for improving the efficiency of medical services. Shorter waiting times mean that the system can respond quickly to medical needs, reduce the waiting anxiety of patients and medical staff, and improve the overall service experience.

[0039] Transmission speed refers to the average speed at which goods move in a logistics transmission system. It can be further divided into horizontal transport speed and vertical transport speed. It is one of the core indicators for measuring the efficiency of system transmission and is directly related to the overall transmission time of goods from the origin to the destination. Faster transmission speed can shorten the circulation cycle of goods, improve the efficiency of medical services, and ensure the timely allocation and utilization of medical resources.

[0040] Spatial flow design refers to the spatial layout and path planning of the logistics transmission system within a hospital. A reasonable spatial flow design can reduce detours and congestion during the transmission of goods, improve transmission efficiency, and reduce interference with the hospital's daily operations and patient flow. In the design of the logistics transmission system, the reservation of storage space, equipment space, and transportation channel space is particularly necessary. When planning and designing, horizontal and vertical channels should be reserved for material transportation equipment in the architectural space considerations based on the selection and installation conditions of the logistics system in the early planning.

[0041] The percentage of labor cost savings refers to the proportion of labor costs saved by the logistics and transportation system compared to traditional manual transportation methods after its implementation. This indicator is one of the important metrics for measuring the system's economic and social benefits, reflecting the system's actual effectiveness in improving the efficiency of medical services and reducing labor costs.

[0042] Transportation demand, or transportation demand satisfaction rate, refers to the extent to which the system can meet the transportation needs of various items within the hospital. This indicator is calculated by comparing the actual transportation volume with the hospital's total transportation demand, reflecting the strength of the system's support capability for the hospital's daily operations. A high transportation demand satisfaction rate means that the system can comprehensively and accurately respond to various transportation needs within the hospital, ensuring the smooth operation of medical services.

[0043] Information systems and hospital logistics development need to be pursued in tandem. The intelligence of the information system refers to the level of automation and intelligence of the information management system equipped in the logistics transmission system. This indicator includes the system's ability to automatically collect, process, track, and provide feedback on item information, as well as its integration and collaboration capabilities with other hospital information systems (such as HIS and LIS).

[0044] Transmission stability is a crucial indicator of the performance of a logistics transmission system. It focuses on whether the system can maintain a continuous and stable operating state during operation, avoiding transmission interruptions or delays caused by equipment failures, network outages, or other factors. The safety and quality of medical supplies directly affect and determine the safety and quality of medical procedures, and even directly impact patient safety. Therefore, the safety of these consumables must be guaranteed throughout the entire process from procurement to clinical use.

[0045] The error rate in transportation directly reflects the accuracy of the logistics and delivery system. Traditional pharmaceutical logistics relies on relatively conventional transportation methods and rudimentary equipment, leading to frequent damage during transport. However, in a medical environment, any misdelivery of supplies can have serious consequences, such as damaged medicines or contaminated specimens. Therefore, reducing the error rate in transportation is a crucial means of improving medical safety.

[0046] Fire safety is a crucial aspect that must be considered when designing medical logistics transportation systems. Hospitals, as special locations, are densely populated, with interconnected departments, containing numerous flammable materials and chemicals, and featuring complex electrical wiring. This results in significant fire loads, making evacuation and rescue operations difficult. Furthermore, medical logistics transportation systems are extensive, traversing all floors and fire compartments of the building. If a fire breaks out in one fire compartment, smoke and flames can spread along the logistics transport tracks through wall openings, causing widespread combustion. This makes the fire hazard and rescue challenges far greater than in conventional hospitals.

[0047] Flow line safety primarily focuses on the coordination between the logistics transport system and other flow lines. Within a medical complex, the flow of people, goods, and information intertwine, forming a complex flow network. To ensure safety, the logistics transport system should be designed to avoid conflicts with critical areas such as patient access routes, medical staff access routes, and emergency evacuation routes, ensuring smooth and unobstructed material transport and reducing cross-contamination and safety hazards during the logistics process.

[0048] Disinfection Management: Since medical supplies may come into contact with various contaminants during transport, such as patient bodily fluids and blood, strict disinfection procedures are essential. When evaluating the disinfection management capabilities of a logistics and transportation system, the focus should be on whether it is equipped with advanced disinfection equipment, employs scientific disinfection methods, and has established a comprehensive disinfection management system.

[0049] Procurement costs directly reflect the initial investment scale of system construction. For medical institutions, reasonable procurement cost control is the foundation for ensuring the economic feasibility of the project and plays a significant role in the hospital's operational efficiency.

[0050] Service life refers to the average length of time a system is used from the time it is put into operation until it needs to be replaced or overhauled due to technological obsolescence, performance degradation, or severe damage. A longer service life means that the system can provide services to healthcare institutions for a longer period of time, thereby reducing the average annual depreciation cost.

[0051] Unit energy consumption refers to the amount of energy consumed by a logistics transportation system to complete a unit of transportation task. This indicator is directly related to the system's operating costs and environmental impact. Low unit energy consumption logistics transportation systems not only help reduce operating costs but also reduce carbon emissions, aligning with the concept of green hospitals.

[0052] Space requirements are a crucial factor in evaluating the rationality of a logistics transportation system's layout. In a medical complex, the logistics transportation system must efficiently utilize limited space, accommodating the rapid flow of daily necessities while avoiding excessive occupation of floor and vertical space, ensuring optimal allocation of space resources. A well-designed space layout reduces congestion, improves overall operational efficiency, and is also a key factor in enhancing building economy and user comfort.

[0053] Operating noise is a crucial indicator of the environmental friendliness of a logistics and transportation system. In medical environments, noise generated by these systems can interfere with both patients and healthcare professionals, impacting the patient experience and treatment outcomes. Low-noise design is essential for ensuring patient rest and allowing medical staff to concentrate on their work. Therefore, the operating noise of logistics and transportation systems should be strictly controlled within a reasonable range to avoid unnecessary disturbance to the surrounding environment and ensure a quiet and comfortable medical environment.

[0054] Visual aesthetics are crucial for enhancing the spatial quality and overall image of a medical complex. As a vital facility within the building, the logistics transportation system's exterior design should harmonize with the overall architectural style, rather than diminishing user visual comfort. During the design process, particular attention should be paid to the pipeline treatment and flow design of the logistics transportation system.

[0055] Personnel Interference: Within the medical complex, personnel flow is frequent, and the logistics transportation system should minimize direct interference to medical staff, patients, and logistics personnel. Optimizing transmission paths and establishing independent transport channels can effectively reduce personnel interference, improve system efficiency and personnel comfort, and create a more harmonious and tranquil treatment environment for medical staff and patients.

[0056] In one feasible embodiment, such as Figure 3As shown, the medical logistics transport system includes multiple systems such as pneumatic logistics transport system, rail-based logistics transport system, box-type logistics transport system, and AGV automated guided vehicle transport system.

[0057] In one feasible embodiment, such as Figure 1 As shown, the scoring module 2 includes: Mapping unit 21 is used to construct the mapping between the performance parameters of each indicator and the score; Performance parameter acquisition unit 22 is used to obtain the performance parameters of each index; The scoring unit 23 is used to obtain the score of the indicator by calling the mapping unit 21 through the performance parameters of each indicator obtained by the performance parameter obtaining unit 22.

[0058] In one feasible embodiment, such as Figure 1 As shown, the weight acquisition module 3 includes: The criterion weight acquisition unit 321 is used to obtain the criterion weight of each criterion by assessing the importance of each criterion to the decision objective. The initial indicator weight acquisition unit 322 is used to obtain the initial indicator weight of each indicator based on the importance of each indicator among the criteria. The indicator weight acquisition unit 36 ​​is used to multiply the criterion weight obtained by the criterion weight acquisition unit 321 and the initial indicator weight of the indicator corresponding to the criterion obtained by the initial indicator weight acquisition unit 322 to obtain the indicator weight of the indicator, and further obtain the indicator weight of each indicator.

[0059] In one feasible embodiment, such as Figure 1 As shown, the weight acquisition module 3 includes a judgment matrix acquisition unit 31, a weight acquisition unit 32, a verification unit 33, an adjustment unit 34, a weight optimization unit 35, and an index weight acquisition unit 36. The judgment matrix acquisition unit 31 is used to obtain the target-level judgment matrix by assessing the importance of each criterion for the decision objective and to obtain the criterion-level judgment matrix by assessing the importance of each indicator for the criterion. The weight acquisition unit 32 is used to obtain a criterion weight vector composed of the criterion weights of each criterion based on the target layer judgment matrix, and an initial index weight vector composed of the initial index weights of each index corresponding to each criterion based on the criterion layer judgment matrix. The criterion weight is the normalized value of the square root of the number of criteria taken from the product of the elements of each row of the target layer judgment matrix; the initial index weight is the normalized value of the square root of the number of indicators corresponding to the criterion taken from the product of the elements of each row of the criterion layer judgment matrix of a criterion. The verification unit 33 is used to verify the consistency between the criterion weight vector and the initial index weight vector obtained by the weight unit; when the consistency verification is met, a signal is sent to the weight optimization unit 35; when the consistency verification is not met, a signal is sent to the adjustment unit 34. The adjustment unit 34 is used to adjust the importance of the criteria vector that does not conform to the consistency verification and / or the importance of the index corresponding to the initial index weight vector according to the signal of the verification unit 33. After the adjustment is completed, the adjustment result is returned to the verification unit 33 through the signal. The weight optimization unit 35 is used to receive the signal from the verification unit 33 and use the criterion weight vector and the initial index weight vector that have passed the consistency verification corresponding to the signal as the optimized criterion weight vector and the initial index weight vector. The indicator weight acquisition unit 36 ​​is used to multiply the criterion weight obtained by the weight optimization unit 35 and the initial indicator weight of the indicator corresponding to the criterion weight to obtain the indicator weight, and further obtain the indicator weight of each indicator.

[0060] In the construction and operation of large-scale medical complexes, the scientific selection of logistics and transportation systems is crucial. These systems must not only meet current needs but also significantly improve the overall operational efficiency of the hospital and control long-term costs. However, current industry-standard selection methods often rely excessively on experience or focus on a single dimension, lacking systematicity and objectivity, and making it difficult to comprehensively and accurately assess the overall applicability of different logistics and transportation systems in a specific hospital environment.

[0061] The limitations of this evaluation method can easily lead to biases in the selection decision, which may adversely affect the hospital's daily operational efficiency, service response speed, and even cost control after its completion, thus creating hidden dangers that could affect the hospital's long-term development.

[0062] This invention addresses the shortcomings of the existing technology described above, and its core objective is to provide a method for selecting a medical logistics transportation system, such as... Figure 4 As shown, it includes: Step S1, Network Construction Step: Construct a selection network 11, which includes a target layer 111, a criterion layer 112, an indicator layer 113, and a solution layer 114. The target layer 111 is used to set decision objectives; the criterion layer 112 is used to set criteria related to achieving the decision objectives; the indicator layer 113 is used to set indicators representing the degree of criterion satisfaction; and the solution layer 114 is used to set multiple medical logistics transmission systems that the hospital may choose. Step S2, scoring acquisition step: Based on the performance parameters of each indicator in each medical logistics transmission system, the scores of each indicator are obtained to form a scoring dataset covering the entire medical logistics scenario, providing a data foundation for subsequent model construction; Step S3, Weight Acquisition Step: Based on the importance of each medical logistics transmission system to each criterion and indicator in the selection network 11, and the importance of each criterion to the decision objective, obtain the weight of each indicator. Step S4, Comprehensive Value Acquisition Step: The scores and weights of each indicator of each medical logistics transmission system are weighted and integrated to obtain the comprehensive value of each medical logistics transmission system. Step S5, Selection Step: Select the medical logistics transmission system with the highest overall value as the optimal solution.

[0063] In one feasible embodiment, step S2 includes: Step S21: Construct the mapping between the performance parameters of the indicator and the score. Step S22: Obtain the performance parameters of the index; Step S23: Based on the mapping and the performance parameters of the metrics, obtain the score of the metrics.

[0064] In one feasible embodiment, step S3 includes: Step S310: Obtain the target-level judgment matrix based on the importance of each criterion for the decision objective, as shown in Table 2 below: Table 2 Step S311: Based on the target layer judgment matrix, obtain the criterion weights of each criterion using the following equations (1)-(4), thereby obtaining the criterion weight vector: (1) (2) (3) (4) in, For the standard quantity, ; The target layer judgment matrix; For the first The first criterion and the first The degree of importance among the criteria , , ; The target layer judgment matrix is ​​the first Product of row elements; For the first The criterion weights of each criterion; The normalized version The criterion weights of each criterion; Step S312, based on the target layer judgment matrix and criterion weights, obtain the maximum eigenvalue of criterion layer 112 using the following formula (5): (5) in, The maximum eigenvalue of criterion layer 112 corresponding to a medical logistics transmission system; Step S313: Based on the maximum eigenvalue of criterion layer 112, obtain the consistency index of criterion layer 112 using the following formula (6): (6) in, For a medical logistics transmission system, the criterion layer 112 consistency index is used. Step S314: Based on the consistency index of criterion layer 112, obtain the consistency ratio of criterion layer 112 using the following formula (7): (7) in, For a medical logistics transmission system, the criterion layer 112 random consistency index is used. The consistency ratio of criterion layer 112 corresponding to a medical logistics transmission system; Step S315: Determine whether the consistency ratio of criterion layer 112 is less than 0.1; If the consistency ratio of criterion layer 112 is less than 0.1, execute step S316: determine whether the criterion weight vector meets the consistency check; If the consistency ratio of criterion layer 112 is not less than 0.1, step S317: determine that the criterion weight vector does not meet the consistency check, adjust the importance of each criterion (i.e. adjust the target layer judgment matrix), and return to step S315; Step S320: Obtain the criterion-level judgment matrix for each criterion based on the importance of each indicator for each criterion. Step S321: Based on the criterion layer judgment matrix, the initial index weights of each index are obtained through the following equations (8)-(11), thereby obtaining the initial index weight vector: (8) (9) (10) (11) in, The number of indicators for a criterion. ; The criterion layer judgment matrix; For the first The first indicator and the first The degree of importance among the indicators , , ; The criterion layer judgment matrix is ​​the first Product of row elements; For the first Initial indicator weights for each indicator; The normalized version Initial indicator weights for each indicator; Step S322: Based on the criterion layer judgment matrix and the initial index weights, the maximum eigenvalue of index layer 113 is obtained through the following formula (12): (12) in, The largest eigenvalue of index layer 113 corresponding to a medical logistics transmission system; Step S323: Based on the maximum eigenvalue of index layer 113, obtain the consistency index of index layer 113 using the following formula (13): (13) in, A consistency indicator for a medical logistics transmission system; Step S324: Based on the consistency index of index layer 113, obtain the consistency ratio of index layer 113 using the following formula (14): (14) in, For a medical logistics transmission system, the indicator layer 113 is a random consistency indicator. The consistency ratio of indicator layer 113 corresponding to a medical logistics transmission system; Step S325: Determine whether the consistency ratio of indicator layer 113 is less than 0.1; If the consistency ratio of indicator layer 113 is less than 0.1, execute step S326: determine whether the initial indicator weight vector meets the consistency check; If the consistency ratio of indicator layer 113 is not less than 0.1, proceed to step S327: determine that the initial indicator weight vector does not meet the consistency check, adjust the importance between the indicators corresponding to the criteria (i.e., adjust the criterion layer judgment matrix of the criteria), and return to step S325. Step S330: The product of the criterion weight that has passed the consistency verification and the initial index weight of the index corresponding to the criterion is used as the index weight of the index, thereby obtaining the index weight of each index.

[0065] In one feasible embodiment, step S317 includes: Obtain the importance of the criteria with the greatest differences in the target layer judgment matrix; Following the principle of reducing differences, the importance of the criteria with the greatest differences is adjusted. For example, if the importance of "efficiency vs. security" in the target layer judgment matrix differs the most from the importance of other criteria, then the importance of "efficiency vs. security" is increased or decreased to reduce the differences, weaken extreme differences, and improve logical consistency.

[0066] Preferably, step S317 further includes: The adjustment range for the importance of the criteria with the greatest differences is determined by using the reduction of the consistency index of criterion layer 112 as a guide.

[0067] In a preferred embodiment, step S317 further includes: The importance of criteria with the greatest differences is determined using the median values ​​(e.g., 2, 4, 6, 8) in the 1-9 scale, avoiding extreme values ​​(e.g., 1 or 9) to reduce the drasticness of adjustments and improve their accuracy. The criterion level 112 consistency index is re-obtained after each adjustment until the consistency requirements are met.

[0068] In one feasible embodiment, step S317 includes: To determine the importance of the criteria with the highest contribution rates in the target layer judgment matrix; The importance of the above criteria will be adjusted according to the principle of decreasing contribution rate.

[0069] Preferably, step S317 further includes: The adjustment range of importance among the criteria with the highest contribution rate is determined by guiding the reduction of the consistency index of criterion layer 112.

[0070] In a preferred embodiment, step S317 further includes: The importance of criteria with the highest contribution rates is determined using the median values ​​(e.g., 2, 4, 6, 8) in a 1-9 scale, avoiding extreme values ​​(e.g., 1 or 9) to reduce the drasticness of adjustments and improve their accuracy. The criterion level 112 consistency index is re-obtained after each adjustment until the consistency requirements are met.

[0071] In one feasible embodiment, step S327 includes: To determine the importance of the indicators with the greatest differences in the criterion-level judgment matrix; In accordance with the principle of reducing differences, the importance of the indicators with the greatest differences was adjusted.

[0072] Preferably, step S327 further includes: The adjustment range of importance between the indicators with the greatest differences is determined by using the reduction of the consistency index of indicator layer 113 as a guide.

[0073] In a preferred embodiment, step S327 further includes: The importance of indicators with the greatest differences is determined using the median values ​​(e.g., 2, 4, 6, 8) in a 1-9 scale, avoiding extreme values ​​(e.g., 1 or 9) to reduce the drasticness of adjustments and improve their accuracy. After each adjustment, a new consistency index (level 113) is obtained until the consistency requirements are met.

[0074] In one feasible embodiment, step S327 includes: To determine the importance of the indicators with the highest contribution rates in the criterion-level judgment matrix; The importance of the above indicators will be adjusted according to the principle of reducing contribution rate.

[0075] Preferably, step S327 further includes: The adjustment range of importance among the indicators with the highest contribution rate is determined by the reduction of the consistency index of indicator layer 113.

[0076] In a preferred embodiment, step S327 further includes: The importance of the indicators with the highest contribution rates is determined using the median values ​​(e.g., 2, 4, 6, 8) in the 1-9 scale, avoiding extreme values ​​(e.g., 1 or 9) to reduce the drasticness of adjustments and improve the accuracy of adjustments. After each adjustment, the criterion level 112 consistency index is re-obtained until the consistency requirements are met.

[0077] This invention constructs a multi-dimensional comprehensive evaluation system for medical logistics transmission systems. Breaking through the limitations of traditional single-dimensional evaluation, this invention designs a selection network 11 that includes multiple dimensions such as system performance, spatial compatibility, operational requirement matching, cost-effectiveness, scalability, security, and ease of maintenance. This selection network 11 can comprehensively and objectively reflect the overall applicability of different logistics transmission systems in the specific environment of a hospital.

[0078] This invention is based on a weighted scientific quantification and consistency assurance mechanism: It systematically applies weights and scores to the specific and complex decision-making problem of selecting a medical logistics transportation system, and designs key implementation and assurance processes. This process transforms qualitative judgments into quantitative data, effectively solving the pain points of traditional methods, such as strong subjectivity and lack of objective evidence. Simultaneously, it ensures the high scientific rigor and objectivity of the weighting results, avoiding subjective arbitrariness and achieving scientific selection decisions.

[0079] This invention constructs a structured selection decision-making mechanism: it not only provides multiple criteria and indicators, but more importantly, it offers a closed-loop process from data collection to final decision-making. This process guides users on how to collect data, perform weighted scoring, compare and analyze different systems, and ultimately output scientific selection recommendations. This process-oriented, data-driven decision-making mechanism ensures that the selection results are objective, adaptable, and feasible, providing strong scientific decision support for medical institutions.

[0080] In one specific embodiment, taking a large medical complex in a certain province as an application scenario, the selection method for the medical logistics transmission system in this embodiment includes: Step S10: Collect performance data of 19 indicators in indicator layer 113 for four candidate systems: medical pneumatic logistics, automated guided vehicles, rail-based logistics, and medium-sized box logistics. Step S20: Standardize and score the performance data of the above 19 indicators using a 5-point Likert scale; Step S30: Using the pairwise comparison method and the 1-9 level scaling method (as shown in Table 3), construct the target layer judgment matrix and the criterion layer judgment matrix: Table 3 The judgment matrix represents the importance of factors related to a certain factor at the previous level in the selection network 11. Assuming A is the goal of the previous level, and the lower levels have a subordinate influence on the previous level, elements B1, B2, ..., B are constructed using A as the judgment criterion. n Compare the importance of the items to construct a judgment matrix; Step S40: Based on the target layer judgment matrix and the criterion layer judgment matrix, execute steps S310-S330. The weights of the 19 indicators obtained are shown in Table 4 below: The random consistency index is obtained by looking up a table. The random consistency index in this embodiment is listed in Table 5 below: Step S50: The indicator weight vectors of each indicator are weighted and fused with the scores to obtain the comprehensive evaluation value of each scheme, as shown in Table 6 below: Table 6 Step S60: Based on the comprehensive evaluation values ​​in descending order, the rail-based logistics system is determined as the optimal solution. This decision-making process deeply integrates objective quantitative assessment with the actual needs of medical buildings, providing hospitals with a scientific and feasible selection basis.

[0081] The selection method for the medical logistics transmission system of the present invention is based on a comprehensive and objective analysis, thereby enabling the selection of a logistics transmission system that can efficiently and stably support the daily operation of the hospital and perfectly fit the hospital building, ultimately ensuring the optimization of hospital operational efficiency and effective cost control.

[0082] Figure 5 The diagram illustrates an application scenario of the selection method for the medical logistics transmission system described in this invention.

[0083] exist Figure 5 In the application scenario, the computing device 200 constructs a selection network 11, obtains the performance parameters of each indicator in the indicator layer 113 of the selection network 11, and obtains the target layer judgment matrix and the criterion layer judgment matrix. Then, the computing device 200 determines the score 201 of each indicator based on the performance parameters of each indicator, and obtains the indicator weight 202 of each indicator based on the target layer judgment matrix and the criterion layer judgment matrix. Afterwards, the computing device 200 obtains the comprehensive value 203 of each medical logistics transmission system based on the score 201 and indicator weight 202 of each indicator corresponding to each medical logistics transmission system. Finally, the computing device 200 selects the medical logistics transmission system with the highest comprehensive value as the optimal selection 205.

[0084] It should be noted that the aforementioned computing device 200 can be either hardware or software. When the computing device 200 is hardware, it can be implemented as a distributed cluster consisting of multiple servers or terminal devices, or as a single server or a single terminal device. When the computing device 200 is software, it can be installed on the hardware devices listed above. It can be implemented as, for example, multiple software programs or software modules used to provide distributed services, or as a single software program or software module. No specific limitations are made here.

[0085] Figure 6 This diagram illustrates another application scenario of the selection method for the medical logistics transmission system described in this invention.

[0086] exist Figure 6 In the application scenario, the components of the computing device 200 include, but are not limited to, a memory 210 and a processor 220. The processor 220 is connected to the memory 210 via a bus 230, and may also include a database 250 for storing data.

[0087] The computing device 200 also includes an access device 240 that enables the computing device 200 to communicate via one or more networks 260. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device may include one or more of any type of wired or wireless network interface (e.g., network interface controller (NIC)), such as a Wireless Local Area Network (WLAN) interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, or a Near Field Communication (NFC) interface.

[0088] In one embodiment of the present invention, the above-described components of the computing device 200 and Figure 6 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 6 The structural block diagram of the computing device 200 shown is for illustrative purposes only and is not intended to limit the scope of the invention. Those skilled in the art can add or replace other components as needed.

[0089] The computing device 200 can be any type of stationary or mobile computing device 200, including mobile computers or mobile computing devices 200 (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices 200 (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices 200 such as desktop computers or personal computers (PCs). The computing device 200 can also be a mobile or stationary server.

[0090] The processor executes computer-executable instructions, which, when executed by the processor, implement the steps of the above-described medical logistics transport system selection method. The above is an illustrative scheme of a computing device 200 according to this embodiment. It should be noted that the technical solution of this computing device 200 and the technical solution of the above-described medical logistics transport system selection method belong to the same concept. Details not described in detail in the technical solution of the computing device 200 can be found in the description of the technical solution of the above-described medical logistics transport system selection method.

[0091] The present invention also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-described method for selecting a medical logistics transmission system.

[0092] The above is an illustrative scheme of the computer-readable storage medium described in this invention. It should be noted that the technical solution of this storage medium belongs to the same concept as the technical solution of the above-described selection method for a medical logistics transmission system. Details not described in detail in the technical solution of the storage medium can be found in the description of the technical solution of the above-described selection method for a medical logistics transmission system.

[0093] The present invention also provides a computer program, wherein when the computer program is executed in a computer, the computer is instructed to perform the steps of the above-described method for selecting a medical logistics transmission system.

[0094] The above is an illustrative scheme of the computer program described in this invention. It should be noted that the technical solution of this computer program and the technical solution of the above-described method for selecting a medical logistics transmission system belong to the same concept. Details not described in detail in the computer program's technical solution can be found in the description of the technical solution of the above-described method for selecting a medical logistics transmission system.

[0095] This invention selects medical logistics transmission systems based on multi-dimensional quantitative evaluation. It integrates multiple criteria and indicators, indicator performance parameters and indicator weights, and criterion weights into the medical logistics scenario, constructing a scientific multi-level evaluation system. Through rigorous mathematical modeling, it achieves optimal decision-making, solving the core problems of strong reliance on subjective experience and lack of objective quantitative basis in traditional selection.

[0096] The foregoing has described specific embodiments of the invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0097] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the embodiments of the present invention are not limited to the described order of actions, because according to the embodiments of the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the embodiments of the present invention.

[0098] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0099] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. The optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the embodiments of the present invention. These embodiments are selected and specifically described to better explain the principles and practical applications of the present invention, thereby enabling those skilled in the art to better understand and utilize the present invention.

Claims

1. A method for selecting a medical logistics transmission system, characterized in that, include: Network construction steps: Construct a selection network, which includes an objective layer, a criterion layer, an indicator layer, and a solution layer. The objective layer is used to set decision objectives. The criterion layer is used to set criteria related to achieving the decision-making objectives; the indicator layer is used to set indicators representing the degree to which the criteria are met; and the solution layer is used to set multiple medical logistics transmission systems that the hospital may choose. Scoring steps: Scores for each indicator are obtained based on the performance parameters of each indicator in each medical logistics transmission system; Weighting steps: Based on the importance of each medical logistics transmission system to each criterion and indicator in the selection network, and the importance of each criterion to the decision objective, the weights of each indicator are obtained. Steps to obtain comprehensive value: Weighted fusion of the scores and weights of each indicator of each medical logistics transmission system to obtain the comprehensive value of each medical logistics transmission system; Selection steps: Select the medical logistics transmission system with the highest overall value as the optimal solution.

2. The selection method for the medical logistics transmission system according to claim 1, characterized in that, The criteria include one or more of efficiency, safety, economy, and comfort; Or / and, the indicators corresponding to the efficiency criteria include one or more of waiting time, transmission speed, spatial flow design, percentage of manpower saved, transportation demand satisfaction rate, and information system intelligence; the indicators corresponding to the safety criteria include one or more of transmission stability, transportation error rate, fire safety, flow safety, and disinfection management; the indicators corresponding to the economic criteria include one or more of procurement cost, operating cost, service life, and unit energy consumption; the indicators corresponding to the comfort criteria include one or more of space requirements, operating noise, visual aesthetics, and personnel interference.

3. The selection method for the medical logistics transmission system according to claim 1, characterized in that, The medical logistics transport system includes multiple systems such as pneumatic logistics transport system, rail-based logistics transport system, box-type logistics transport system, and AGV (Automated Guided Vehicle) transport system.

4. The selection method for the medical logistics transmission system according to claim 1, characterized in that, The weight acquisition steps include: Steps for obtaining criterion weights: Obtain the criterion weights of each criterion based on their relative importance to the decision objective; Steps for obtaining initial indicator weights: Based on the importance of each indicator for each criterion, obtain the initial indicator weights for each indicator corresponding to each criterion. Steps for obtaining indicator weights: The product of the criterion weight and the initial indicator weight of the indicator corresponding to the criterion is used as the indicator weight of the indicator, thereby obtaining the indicator weight of each indicator. Or / and, the step of obtaining the criterion weights includes: The target-level judgment matrix is ​​obtained based on the importance of each criterion for the decision objective. Based on the target layer judgment matrix, the criterion weights of each criterion are obtained using the following formula, thus yielding the criterion weight vector: in, For the standard quantity, ; The target layer judgment matrix; For the first The first criterion and the first The degree of importance among the criteria , , ; The target layer judgment matrix is ​​the first Product of row elements; For the first The criterion weights of each criterion; The normalized version The criterion weights of each criterion; This is the weight vector; Or / and, the step of obtaining the criterion weights further includes: The judgment criterion is whether the weight vector meets the consistency check. If the consistency check is not met, the importance of the criteria is adjusted until the consistency check is met; Or / and, the steps for determining whether the weight vector of the judgment criterion meets the consistency check include: The maximum eigenvalue of the criterion layer is obtained based on the target layer judgment matrix and criterion weights using the following formula: in, This represents the maximum eigenvalue of the criterion layer corresponding to a medical logistics transmission system. The consistency index of the criterion layer is obtained based on the largest eigenvalue of the criterion layer using the following formula: in, This refers to the consistency index of the criteria layer for a medical logistics transmission system. The consistency ratio of the criterion layer is obtained based on the criterion layer consistency index using the following formula: in, This is a criterion-level stochastic consistency index corresponding to a medical logistics transmission system. The consistency ratio of the criteria layer corresponding to a medical logistics transmission system; Determine if the consistency ratio at the criteria level is less than 0.1; If the consistency ratio of the criterion layer is less than 0.1, then the criterion weight vector meets the consistency check. If the consistency ratio of the criterion layer is not less than 0.1, then the criterion weight vector does not meet the consistency check.

5. The selection method for the medical logistics transmission system according to claim 4, characterized in that, The steps for obtaining the initial index weights include: The criterion-level judgment matrix for each criterion is obtained based on the importance of each indicator among the criteria. The initial index weights of each index corresponding to each index are obtained from the criterion-level judgment matrix based on each criterion using the following formula, thus obtaining the initial index weight vector: in, The number of indicators for a criterion. ; The criterion-level judgment matrix is ​​a single criterion. For the first The first indicator and the first The degree of importance among the indicators , , ; The criterion layer judgment matrix is ​​the first Product of row elements; For the first Initial indicator weights for each indicator; The normalized version Initial indicator weights for each indicator; Or / and, the initial index weight acquisition step further includes: Determine whether the initial indicator weight vector meets the consistency check; If the consistency check is not met, adjust the importance of the indicators until the consistency check is met. Or / and, the step of determining whether the initial index weight vector meets the consistency check includes: The maximum eigenvalue of the indicator layer is obtained based on the criterion layer judgment matrix and the initial indicator weights using the following formula: in, This represents the maximum eigenvalue of the indicator layer corresponding to a medical logistics transmission system. The consistency index of the index layer is obtained based on the largest eigenvalue of the index layer using the following formula: in, A consistency indicator for a medical logistics transmission system; The consistency ratio at the indicator layer is obtained using the following formula based on the indicator layer consistency metric: in, This is a stochastic consistency index for a medical logistics transmission system. This refers to the consistency ratio of the indicator layer corresponding to a medical logistics transmission system. Determine if the consistency ratio of the indicator layer is less than 0.1; If the consistency ratio of the indicator layer is less than 0.1, then the initial indicator weight vector meets the consistency check. If the consistency ratio of the indicator layer is not less than 0.1, then the initial indicator weight vector does not meet the consistency check.

6. The selection method for a medical logistics transmission system according to any one of claims 1-5, characterized in that, Also includes: The target layer judgment matrix or the criterion layer judgment matrix is ​​obtained by using the pairwise comparison method and the 1-9 level scaling method.

7. The selection method for the medical logistics transmission system according to claim 1, characterized in that, The scoring process includes: Construct a mapping between the range of performance parameters for the metrics and their corresponding score ratings; Obtain the performance parameters of the indicator; Based on the performance parameters of the mapping and metrics, the scores of the metrics are obtained; Or / and, the scoring step further includes: The scores of the indicators are normalized. Or / and, the scoring step further includes: The performance parameters of the indicators were scored using a 5-point Likert scale.

8. A selection system for a medical logistics transmission system, characterized in that, include: The selection network construction module is configured to construct a selection network, which includes an objective layer, a criterion layer, an indicator layer, and a solution layer. The objective layer is used to set decision objectives. The criterion layer is used to set criteria related to achieving the decision-making objectives; the indicator layer is used to set indicators representing the degree to which the criteria are met; and the solution layer is used to set multiple medical logistics transmission systems that the hospital may choose. The scoring module is configured to obtain scores for each indicator based on the performance parameters of each indicator in each medical logistics transmission system. The weight acquisition module is configured to obtain the weight of each indicator based on the importance of each indicator to each criterion in the selection network of each medical logistics transmission system and the importance of each criterion to the decision objective. The module for obtaining the comprehensive value of the solution is configured to weight and integrate the scores and weights of various indicators of each medical logistics transmission system to obtain the comprehensive value of each medical logistics transmission system. The selection module is configured to select the medical logistics transportation system with the highest comprehensive value among the comprehensive values ​​of the various medical logistics transportation systems obtained from the solution scoring module as the optimal solution.

9. A computing device, characterized in that, include: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, they implement the steps of the selection method of the medical logistics transmission system according to any one of claims 1 to 7.

10. A computer-readable storage medium storing computer-executable instructions that, when executed by a processor, implement the steps of the selection method for the medical logistics transport system according to any one of claims 1 to 7.

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