CN117709828A - Vaccine cold chain transportation method based on conversion strategy time Petri network - Google Patents
Vaccine cold chain transportation method based on conversion strategy time Petri network Download PDFInfo
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Abstract
The invention discloses a vaccine cold chain transportation method based on a conversion strategy time Petri network, which optimizes a vaccine cold chain transportation flow. The technical proposal is as follows: the vaccine receiving and transporting link comprises the steps of ordering a customer, checking a flight driver, judging the type of the customer and the type of the vaccine, issuing a command after the checking is passed, and enabling the vaccine to reach an origin airport goods station through short-distance transportation, and checking and warehousing by airport staff; the air transportation link judges whether the vaccine type needs to be ordered or spelled for transportation preferentially, and the vaccine type is checked and put in storage after being checked by a palletizer after being checked by airport security, and the vaccine type reaches a destination airport; the delivery link is used for receiving the vaccine by a destination airport goods station, butting a voyage with a client, judging whether unmanned aerial vehicle transportation is needed or not, and sending a special person to contact a ground service department to carry out vaccine short-distance delivery service; modeling and analyzing the business process by using a time Petri network based on a conversion strategy; introducing time parameters into a common PN structure, constructing a random time Petri network-Markov chain, and optimizing a business process PN network by utilizing influence factors.
Description
Technical Field
The invention relates to a vaccine cold chain transportation method, in particular to a vaccine cold chain transportation method based on a conversion strategy time Petri network.
Background
In recent years, with the improvement of the domestic national standard of living and the innovation and development of the medical field in China, the domestic medical industry keeps a strong development trend. At the same time, related departments strive to perfect policies to promote efficient operation of the pharmaceutical industry chain. With the perfection of the pharmaceutical cold chain logistics operation standard, the requirements of pharmaceutical products on transportation are more standard, and the pharmaceutical products are regulated to be controlled under proper transportation conditions in the production and circulation processes, so that the final consumption safety of the pharmaceutical products is ensured. Aviation logistics is one of important channels of current cargo transportation, and has a large market ratio in the field of medical transportation.
In the field of medical transportation, vaccines generally require cold chain transportation, which presents the following difficulties:
1. the temperature control requirement is high: a vaccine is a biological product that is very sensitive to temperature and requires storage and transportation in a specific low temperature environment to ensure the effectiveness and safety of the vaccine. This requires that the temperature must be tightly controlled during cold chain transport to avoid temperature fluctuations and excessive or insufficient conditions.
2. The transportation link is complex: the cold chain transportation of vaccines involves several links including production, storage, transportation, distribution, etc. of vaccines. Every link needs to be strictly controlled, so that the quality and safety of the vaccine in the whole process are ensured.
3. The equipment requirement is high: to ensure temperature control of the vaccine during transport, specialized cold chain transport equipment such as refrigerated trucks, refrigerators, and the like are required. These devices need to meet certain standards and specifications and require periodic maintenance and inspection to ensure proper operation of the device.
4. The cost is high: the cost is relatively high because of the specialized equipment and strict management required for cold chain transportation of vaccines. This includes equipment acquisition costs, operating costs, labor costs, and the like.
5. Strict supervision requirements: vaccine cold chain transport involves public health and safety, and therefore regulatory requirements are very stringent. Related departments need to strictly monitor and detect links such as production, storage, transportation and the like of vaccines, so that the quality and safety of the vaccines are ensured.
Disclosure of Invention
The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects. This summary is not an extensive overview of all contemplated aspects, and is intended to neither identify key or critical elements of all aspects nor delineate the scope of any or all aspects. Its sole purpose is to present some concepts of one or more aspects in a simplified form as a prelude to the more detailed description that is presented later.
The invention aims to solve the problems, and provides a vaccine cold chain transportation method based on a conversion strategy time Petri network, which realizes optimization of a vaccine cold chain transportation flow.
The technical scheme of the invention is as follows: the invention discloses a vaccine cold chain transportation method based on a conversion strategy time Petri network, which comprises the following steps:
step 1: a vaccine receiving and transporting link, wherein a customer performs an order, an airline company performs an audit, a customer type and a vaccine type are judged, after the audit is passed, a command is issued, the vaccine reaches an originating airport goods station through short-distance transportation, and airport staff performs recheck and warehouse entry;
step 2: the air transportation link judges whether the vaccine type needs to be ordered or spelled for transportation preferentially, and the vaccine type is checked and put in storage after being subjected to the security check of the airport and the boarding machine;
step 3: the delivery link, the vaccine is received by the destination airport goods station, the airline company is in butt joint with customer, judge whether need unmanned aerial vehicle transport, dispatch the person who is responsible for specially to contact the ground service department to carry on the short-distance delivery service of vaccine;
step 4: modeling and analyzing the business process by using a time Petri network based on a conversion strategy;
step 5: introducing time parameters into a common PN structure, constructing a random time Petri network-Markov chain, obtaining a transfer rate matrix of the random time Petri network-Markov chain, calculating performance data of each node according to the transfer rate matrix, and optimizing the service flow Petri network.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri network, the client types in the step 1 comprise government institutions and social organizations, the vaccine types comprise emergency type and conventional type, and the step 1 further comprises determining the vaccine distribution priority according to the judgment results of the client types and the vaccine types.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri net, the step 1 specifically includes:
step S1.1: the customer orders;
step S1.2: checking vaccine shipping orders;
step S1.3: issuing a receiving and transporting command;
step S1.4: receiving and checking goods at an airport goods station;
step S1.5: and (5) warehousing the vaccine.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri net of the present invention, the determining of the vaccine type in step 2 includes: and if the vaccine is an emergency vaccine, the cabin is reserved preferentially, the direct flight is reserved, if the vaccine is a conventional vaccine, the airport arrangement is queued, and a proper airplane is selected for distribution.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri net, the step 2 specifically includes:
step S2.1: rechecking and leaving a warehouse;
step S2.2: safety inspection and installation;
step S2.3: and (5) receiving and warehousing.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri network, in the step 3, in the process of judging whether unmanned aerial vehicle delivery is needed, the method communicates with clients, comprehensively considers the influence factors including the vaccine freight size and whether a receiver has corresponding ground infrastructure, coordinates with an air traffic management department in advance, and if the receiver does not have corresponding qualification, short-distance delivery of vehicles is carried out.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri net, the step 3 specifically includes:
step S3.1: a delivery notice;
step S3.2: and determining the vaccine state during goods delivery, confirming the goods receiving after no problem, and if the customer rejects the goods, performing reverse logistics operation on the vaccine.
According to an embodiment of the vaccine cold chain transportation method based on the conversion strategy time Petri net, the step 4 specifically includes:
step S4.1: modeling a vaccine cold chain transportation flow by using a transformation strategy time Petri network;
step S4.2: according to the step of converting the step S4.1 into the Petri network, directly converting the whole flow of the specific operation of the service to obtain a corresponding PN model structure;
step S4.3: after the Petri net model is constructed, the structural characteristics of the Petri net model are verified, and whether the constructed vaccine cold chain transportation service flow time Petri net is bounded and executable is detected.
According to an embodiment of the method for cold chain transportation of vaccines based on the conversion strategy time Petri net of the present invention, step S4.1 further comprises:
step S4.1.1: establishing a starting point;
step S4.1.2: determining an arrow and a direction;
step S4.1.3: extending;
step S4.1.4: and (5) conversion.
According to an embodiment of the method for cold chain transportation of vaccine based on conversion strategy time Petri net of the invention, the process of constructing random time Petri net-Markov chain in step 5 comprises:
step 5.1: constructing a random time Petri network;
step 5.2: drawing a reachable identification graph according to the random time Petri net, and further obtaining a reachable identification set table;
step 5.3: and constructing a Markov chain graph isomorphic with the reachable identification set table according to the reachable identification set table and the obtained transition rate body values in each link.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, through analyzing service chains such as collection, air transportation, distribution and the like in the service, a service flow chart of the whole vaccine cold chain is drawn, a specific service is modeled by using a model of a Petri network (the Petri network is a graphical tool and a mathematical model for modeling, describing and analyzing system behaviors), and a core node performance of the operation of the medicine cold chain is constructed by using a random time Petri network-Markov chain (the random time Petri network-Markov chain is a model combining the random Petri network and the Markov chain, and the random and Markov chain system behaviors can be described and analyzed), so that the bottleneck and key nodes of the flow are pointed out, thereby realizing the optimization of the vaccine cold chain transportation flow.
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The above features and advantages of the present invention will be better understood after reading the detailed description of embodiments of the present disclosure in conjunction with the following drawings. In the drawings, the components are not necessarily to scale and components having similar related features or characteristics may have the same or similar reference numerals.
FIGS. 1A and 1B illustrate a flow chart of one embodiment of a method of cold chain transportation of vaccine based on the conversion strategy time Petri net of the present invention.
Detailed Description
The invention is described in detail below with reference to the drawings and the specific embodiments. It is noted that the aspects described below in connection with the drawings and the specific embodiments are merely exemplary and should not be construed as limiting the scope of the invention in any way.
Fig. 1A and 1B show a flow of an embodiment of the method of cold chain transport of vaccines based on the conversion strategy time Petri net of the present invention. Referring to fig. 1A and 1B, the implementation steps of the method of the present embodiment are described in detail below.
Step 1: and in the vaccine receiving and transporting link, the client makes an order, the airline company makes an audit, the client type and the vaccine type are judged, after the audit is passed, a command is issued, the vaccine reaches an originating airport goods station through short-distance transportation, and airport staff make a recheck and put in storage.
The client types in the step 1 comprise government institutions and social organizations, the vaccine types comprise emergency type and conventional type, and the step 1 further comprises determining the vaccine distribution priority according to the judgment result of the client types and the vaccine types.
Step 1 specifically includes the following processing steps.
Step S1.1, customer order: the customer sends the basic information of the transported vaccine through mail to directly make the order.
Step S1.2, checking vaccine delivery orders: after receiving a vaccine delivery order or a mail order by special order processing personnel, the background of the airline company system firstly carries out identity verification to judge whether the client belongs to a government organization or a social organization, if the client belongs to the social organization type, the client qualification is checked, and basic information provided by the client comprises the number and the type of vaccines and whether forbidden components are contained or not is checked. Secondly, judging whether the vaccine belongs to a conventional type or an emergency type, if the vaccine belongs to the emergency type, preferentially selecting delivery, and if the vaccine belongs to the conventional type, entering a task queue to wait for a receiving and transporting command.
Step S1.3, issuing a receiving and transporting command: the operation of this link includes dispatching personnel responsible for the test, such as preparation of the transport means, pre-cooling of the vehicle, etc., during which the vaccine must be loaded after the temperature in the transport box is satisfactory.
Step S1.4, receiving and checking goods at an airport goods station: the vaccine arrives at the self-owned goods station of the airport through short-distance transportation, and operators at the goods station perform operations such as checking again, unloading, warehousing and the like.
Step S1.5, vaccine warehouse entry: after the vaccine arrives at a near-airport goods station and passes through the check and acceptance of the goods of operators at the airport goods station, the vaccine enters a temporary storage area for waiting, and is temporarily stored according to the storage requirement of the vaccine.
Step 2: and in the air transportation link, judging whether the vaccine type needs to be subjected to cabin booking or splice transportation preferentially, performing a palletizing machine after passing through airport security inspection, and rechecking and warehousing after reaching a destination airport.
The determination of the vaccine type in step 2 includes: and if the vaccine is an emergency vaccine, the cabin is reserved preferentially, the direct flight is reserved, if the vaccine is a conventional vaccine, the airport arrangement is queued, and a proper airplane is selected for distribution.
Step 2 specifically includes the following processing steps.
Step S2.1 rechecking and leaving a warehouse: according to the delivery bill, the airport goods station arranges loading and unloading personnel at the airport to prepare the vaccine to be transported for delivery according to delivery requirements. Meanwhile, customer service personnel can arrange the bunkers in advance according to the flight schedule. And other departments can also carry out the loading of good goods. In this step, the related responsible personnel still need to check and check the type and quantity of the vaccine and the temperature control environment of the product.
Step S2.2, security inspection and installation: a special security inspection port is set up for the vaccine so that it can pass through the security inspection area quickly. And judging the type of the vaccine reaching the airport goods station, if the vaccine is an emergency vaccine, reserving a cabin, reserving a direct flight, if the vaccine is a conventional vaccine, queuing and security inspection, reserving an existing cabin flight library of a destination port, distributing the cabin, and notifying the client of flight information.
And S2.3, after the vaccine is transported through the air, receiving a goods receiving instruction through freight information at an airport goods station at a goods receiving place, and preparing to receive goods by staff at the goods station according to a flight schedule, wherein the staff at the goods station comprises verification of whether the verification is complete, relevant information of the vaccine, whether a transport package is stained or not and the like, and if all the goods are normal, the goods are arranged to be put in storage. At the same time, the ground customer service personnel of the airline company send arrival notification to the customer and communicate with the customer for subsequent delivery links.
Step 3: and in the delivery link, the vaccine is received by a destination airport goods station, an airline company is in butt joint with a client to judge whether unmanned aerial vehicle transportation is needed or not, and a person specially responsible for the delivery is dispatched to contact a ground service department to carry out vaccine short-distance delivery service.
In the step 3, in the process of judging whether unmanned aerial vehicle delivery is needed, the unmanned aerial vehicle delivery is communicated with clients, the vaccine freight size, whether a receiver has corresponding ground infrastructure and other influencing factors are comprehensively considered, coordination with an air traffic management department is carried out in advance, and if the receiver does not have corresponding qualification, short-distance vehicle delivery is carried out.
Step 3 specifically includes the following processing steps.
Step S3.1 delivery notification: after the vaccine arrives at the airport, comprehensively considering the influence factors such as the vaccine freight size, whether the receiver has corresponding ground infrastructure and the like, judging whether unmanned aerial vehicle delivery is needed, and communicating with the client. If unmanned aerial vehicle delivery is not needed, a responsible person dispatches a ground service department of a logistics goods station of a destination airport to carry out short-distance delivery and gate-on service of the vaccine;
and S3.2, when the goods are delivered, the vaccine state needs to be determined, and the goods receiving is confirmed after no problem exists. If the customer rejects, the reverse logistics operation can be performed on the vaccine.
Step 4: and modeling and analyzing the business process by using a time Petri network based on a conversion strategy.
Step 4 specifically includes the following processing steps.
Step S4.1, modeling a vaccine cold chain transportation flow by using a conversion strategy time-based Petri network, wherein the transportation business flow Petri network construction steps are as follows:
step S4.1.1: a starting point is established. And selecting a link facing the customer first in the service flow as a starting node of the Petri network model. The service chain of the vaccine cold chain is an aviation vaccine shipper facing the transportation requirement. Thus, the start of a customer order in a traffic flow is the start of the Petri net model.
Step S4.1.2: the arrow and direction are determined. And determining the arrow and the flow direction of each node in the construction of the Petri network according to the conditions corresponding to the operation of each service link and the direct service relation among the service links.
Step S4.1.3: extending. Extending and sinking to a specific operation link to find the logic relationship among the links of the business process.
Step S4.1.4: and (5) conversion. Each time of judgment in the business process is converted into a loop, different types of processes are constructed.
S4.2, according to the step of converting the step S4.1 into the Petri network, directly converting the whole flow of the specific operation of the service to obtain a corresponding PN model structure.
PN model structure:
PN＝{P,T,F,M 0 }
wherein:
P＝{P 1 ,P 2 ,…,P n }, a pool of libraries
T＝{T 1 ,T 2 ,…,T n Transition set
M 0 Initial state for start point of net
And S4.3, after the Petri net model is constructed, verifying the structural characteristics of the Petri net model, and detecting whether the constructed time Petri net of the vaccine cold chain transportation business process is bounded and executable.
Through the incidence matrix A= { a ij } m×n And verifying the PN structure to see whether the PN structure meets basic requirements.
First, an input matrix A of a model is obtained + Output matrix A - ：
Wherein the method comprises the steps of
Wherein the method comprises the steps of
t i ∈T,i∈{1,2,…,n}
p j ∈P,j∈{1,2,…,m}
M is the current PN network model state identification, and M is used as the current PN network model state identification 0 For initial state identification, if the transition T e T has an occurrence right in the current state, M=M p +1，p∈P。
L is a random non-zero natural number, ensuring that the matrix is solvable.
Then there is a=a + -A - The correlation matrix a can be obtained.
Solving equation set A T X=0, by which there is a non-negative integer solution, it can be seen that the vaccine cold chain empty transport process PN structure based on the time Petri net is viable.
Step 5: introducing time parameters into a common PN structure, constructing a random time Petri network-Markov chain, obtaining a transfer rate matrix of the random time Petri network-Markov chain, calculating performance data of each node according to the transfer rate matrix, and optimizing a service process PN network Petri network (Petri network).
The specific flow of constructing the random time Petri net-Markov chain in the step 5 is as follows:
and 5.1, constructing a random time Petri network, namely setting the air transportation transition time delay to be a fixed value t minutes. Meanwhile, according to the formula of the average occurrence rate, calculating each transition rate lambda in the process i Is a value of (2).
And 5.2, drawing a reachable identification graph according to the random time Petri network, and further obtaining a reachable identification set table.
Step 5.3 according to the reachable identifier set table and the obtained lambda in each link i Constructing a Markov chain graph isomorphic with the reachable identity set table.
And 5, optimizing the random time Petri net-Markov chain, specifically, solving a transfer rate matrix according to the constructed random time Petri net-Markov chain structure, calculating performance data of each node according to the transfer rate matrix, and finally determining an optimization link. The method comprises the following specific steps:
the transition rate matrix of a markov chain refers to a probability matrix of transitioning from one state to another state in a markov process. Specifically, let the state space be s= { S1, S2, & gt, sn }, then the element Q of the markov transfer rate matrix Q ij Representing the transition rate from state si to state sj.
In the Petri net structure, when at M i To M j (M represents Petri network state identification, and corresponds to the step S4.3), when curve connection exists between the Petri network state identification and the Petri network state identification, the lambda value of transition corresponding to the curve is the corresponding value q of the non-diagonal position in the transfer rate matrix B ij (1≤i,j≤n)，M i To M j Without curve connection between them, q ij =0; q for B diagonal position ij (1.ltoreq.i, j.ltoreq.n) is from M i To M j The accumulation of lambda values corresponding to all curves of (a) yields the opposite number of results. The transfer rate matrix B of the Markov chain for the cold chain empty transportation of the vaccine based on the time Petri network can be obtained.
The busy rate and the use rate of the node are used as node performance indexes, and the higher the value of the busy rate and the use rate of the node is, the more the node needs to be optimized, and the method specifically comprises the following steps:
(1) Calculating the stability probability of each running state:
p[m i ]for operating state m i Stability probability under, B is transfer rate matrix, vector x= { X 1 ，x 2 ，…，x i ，…x n }
(2) Calculating the busyness rate of the warehouse:
P[M(t)＝i]representation store P i Is busy rate of p [ M ] j ]Representing the operating state M j Probability of stability under
By means of the probability of stability p [ m ] i ]Can obtain the warehouse P i The larger the busyness rate value is, the larger the operation blocking probability of the node is, and the size of the index value is mainly represented by the ratio of time consumption to total time consumption of each link, and meanwhile, the operation efficiency is also represented.
(3) Utilization rate of transition: the utilization of each transition in a business process is determined by correlating it to p M i ]And accumulating, so that the utilization rate of each transition can be obtained.
Through the analysis of the steps, a link that the vaccine cold chain empty road transportation business process needs to be optimized can be obtained, and the vaccine cold chain empty road transportation business process is optimized by utilizing a related business process optimization principle.
In general, the invention combines the vaccine transportation problem, and divides the whole service chain into specific analysis from several large layers of collection, transportation, aviation transportation, distribution and the like in the service, so as to finally draw a service flow chart of the whole vaccine cold chain. Secondly, modeling a specific service by using a Petri network model, analyzing the performance of a core node of the operation of the medicine cold chain flow by constructing a random time Petri network-Markov chain, indicating the bottleneck and key nodes of the flow, and optimizing the vaccine cold chain transportation flow.
Since the advent of PN theory, most have been applied to analyze logical links between events, modeling means described by libraries, transitions, and the like. The model has the advantages of being capable of being directly presented in a graph, being convenient for coding and being easy to be combined with other mathematical analysis methods, and being strong in describing and analyzing business flows with the characteristics of parallel connection, randomness, dispersion and the like.
In addition, the invention introduces time factors, and more systematically analyzes the operation condition of the business links. The random time Petri network is an incoming time analysis network, and the transition time of each link thereof is always exponentially distributed. The random time PN is mainly used for business operation performance level analysis based on the construction of a common PN structure and a Markov chain, and the system efficiency and the operation condition in time are calculated. The application of the random time Petri network has a strong effect on the aspect of business flow analysis, and particularly has good compatibility for complex business flows in vaccine cold chain transportation.
While, for purposes of simplicity of explanation, the methodologies are shown and described as a series of acts, it is to be understood and appreciated that the methodologies are not limited by the order of acts, as some acts may, in accordance with one or more embodiments, occur in different orders and/or concurrently with other acts from that shown and described herein or not shown and described herein, as would be understood and appreciated by those skilled in the art.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. In the alternative, the processor and the storage medium may reside as discrete components in a user terminal.
In one or more exemplary embodiments, the functions described may be implemented in hardware, software, firmware, or any combination thereof. If implemented in software as a computer program product, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. Any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk (disk) and disc (disk) as used herein include Compact Disc (CD), laser disc, optical disc, digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks (disk) usually reproduce data magnetically, while discs (disk) reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.
The previous description of the disclosure is provided to enable any person skilled in the art to make or use the disclosure. Various modifications to the disclosure will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other variations without departing from the spirit or scope of the disclosure. Thus, the disclosure is not intended to be limited to the examples and designs described herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for cold chain transportation of vaccines based on a conversion strategy time Petri net, the method comprising:
step 1: a vaccine receiving and transporting link, wherein a customer performs an order, an airline company performs an audit, a customer type and a vaccine type are judged, after the audit is passed, a command is issued, the vaccine reaches an originating airport goods station through short-distance transportation, and airport staff performs recheck and warehouse entry;
step 2: the air transportation link judges whether the vaccine type needs to be ordered or spelled for transportation preferentially, and the vaccine type is checked and put in storage after being subjected to the security check of the airport and the boarding machine;
step 3: the delivery link, the vaccine is received by the destination airport goods station, the airline company is in butt joint with customer, judge whether need unmanned aerial vehicle transport, dispatch the person who is responsible for specially to contact the ground service department to carry on the short-distance delivery service of vaccine;
step 4: modeling and analyzing the business process by using a time Petri network based on a conversion strategy;
step 5: introducing time parameters into a common PN structure, constructing a random time Petri network-Markov chain, obtaining a transfer rate matrix of the random time Petri network-Markov chain, calculating performance data of each node according to the transfer rate matrix, and optimizing the service flow Petri network.
2. The method for cold chain transportation of vaccines based on the conversion policy time Petri net according to claim 1, wherein the client type in step 1 includes government organization type and social organization type, the vaccine type includes emergency type and conventional type, and the step 1 further includes determining the priority of vaccine delivery according to the judgment result of the client type and the vaccine type.
3. The method for cold chain transportation of vaccines based on a transformation strategy time Petri net according to claim 2, wherein step 1 specifically comprises:
step S1.1: the customer orders;
step S1.2: checking vaccine shipping orders;
step S1.3: issuing a receiving and transporting command;
step S1.4: receiving and checking goods at an airport goods station;
step S1.5: and (5) warehousing the vaccine.
4. The method for cold chain transportation of vaccines based on the transformation policy time Petri net according to claim 1, wherein the judgment of the vaccine type in step 2 includes: and if the vaccine is an emergency vaccine, the cabin is reserved preferentially, the direct flight is reserved, if the vaccine is a conventional vaccine, the airport arrangement is queued, and a proper airplane is selected for distribution.
5. The method for cold chain transportation of vaccines based on the transformation policy time Petri net of claim 4 wherein step 2 specifically comprises:
step S2.1: rechecking and leaving a warehouse;
step S2.2: safety inspection and installation;
step S2.3: and (5) receiving and warehousing.
6. The method for transporting the vaccine cold chain based on the conversion strategy time Petri net according to claim 1, wherein in the process of judging whether unmanned aerial vehicle delivery is needed or not in the step 3, the method is communicated with clients, comprehensively considers the factors including the vaccine freight size and whether a receiver has corresponding ground infrastructure, coordinates with an air traffic management department in advance, and carries out short-distance delivery of vehicles if the receiver does not have corresponding qualification.
7. The method for cold chain transportation of vaccines based on the transformation policy time Petri net of claim 6 wherein step 3 specifically comprises:
step S3.1: a delivery notice;
step S3.2: and determining the vaccine state during goods delivery, confirming the goods receiving after no problem, and if the customer rejects the goods, performing reverse logistics operation on the vaccine.
8. The method for cold chain transportation of vaccines based on the transformation policy time Petri net according to claim 1, wherein step 4 specifically comprises:
step S4.1: modeling a vaccine cold chain transportation flow by using a transformation strategy time Petri network;
step S4.2: according to the step of converting the step S4.1 into the Petri network, directly converting the whole flow of the specific operation of the service to obtain a corresponding PN model structure;
step S4.3: after the Petri net model is constructed, the structural characteristics of the Petri net model are verified, and whether the constructed vaccine cold chain transportation service flow time Petri net is bounded and executable is detected.
9. The conversion strategy time Petri net based vaccine cold chain transportation method according to claim 8, wherein step S4.1 further comprises:
step S4.1.1: establishing a starting point;
step S4.1.2: determining an arrow and a direction;
step S4.1.3: extending;
step S4.1.4: and (5) conversion.
10. The conversion strategy time Petri net based vaccine cold chain transportation method according to claim 1, wherein the process of constructing the random time Petri net-markov chain in step 5 comprises:
step 5.1: constructing a random time Petri network;
step 5.2: drawing a reachable identification graph according to the random time Petri net, and further obtaining a reachable identification set table;
step 5.3: and constructing a Markov chain graph isomorphic with the reachable identification set table according to the reachable identification set table and the obtained transition rate body values in each link.
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