CN112288374A - Intelligent supply chain logistics intelligent optimization management system based on cloud computing - Google Patents

Intelligent supply chain logistics intelligent optimization management system based on cloud computing Download PDF

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CN112288374A
CN112288374A CN202011300820.4A CN202011300820A CN112288374A CN 112288374 A CN112288374 A CN 112288374A CN 202011300820 A CN202011300820 A CN 202011300820A CN 112288374 A CN112288374 A CN 112288374A
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邹巧巧
谢煜
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Shanghai Zhongzhirun Iot Technology Co ltd
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Nanjing Suibian Intelligent Equipment Co ltd
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Abstract

The invention discloses an intelligent supply chain logistics optimization management system based on cloud computing, which comprises a supplier order logistics record screening module, an order logistics information acquisition module, a logistics transportation parameter collection module, a receiver goods receiving parameter collection module, a transportation quality coefficient analysis module and an intelligent recommendation terminal, wherein each candidate logistics party is screened from the supplier order logistics record, the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the favorable evaluation rate of each candidate logistics party are obtained, the transportation quality coefficient of each candidate logistics party is counted according to the above to sort each candidate logistics party, so that the logistics party with the best quality is recommended to the supplier, the logistics management of a supply chain between the supplier and the logistics parties is optimized, and the problem that the current supplier selects the logistics party without reliable selection basis is solved, the purchasing experience of the buyer to the supplier is enhanced, and the market competitiveness of the supplier is enhanced.

Description

Intelligent supply chain logistics intelligent optimization management system based on cloud computing
Technical Field
The invention belongs to the technical field of supply chain management, and relates to an intelligent supply chain logistics optimization management system based on cloud computing.
Background
Currently, many enterprises in China realize that real market competition is no longer competition among the enterprises, but competition among supply chains, and as the market competition is increasingly intense, managing and optimizing the supply chains of the enterprises becomes an important content for improving the enterprise competitiveness. As a supply chain formed between a supplier and a logistics party, the supplier has the right of selecting the logistics party, the transportation quality condition of the logistics party directly influences the benefit of the supplier, and further influences the market competitiveness of the supplier, but how to select the logistics party with the best quality for the supplier becomes a problem to be solved for managing and optimizing the supply chain between the supplier and the logistics party. Therefore, a supply chain logistics intelligent optimization management system is needed to select the best quality logistics party for the supplier.
Disclosure of Invention
In order to achieve the purpose, the invention provides an intelligent supply chain logistics optimization management system based on cloud computing, wherein the candidate logistics parties are screened from the order logistics records of the suppliers, the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate of the candidate logistics parties are obtained, the transportation quality coefficients of the candidate logistics parties are counted, the candidate logistics parties are ranked according to the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate, the logistics party with the best quality is recommended to the suppliers according to the ranking results, and the problems in the background art are solved.
The purpose of the invention is realized by the following technical scheme:
an intelligent supply chain logistics intelligent optimization management system based on cloud computing comprises a supplier order-placing logistics record screening module, an order-placing logistics information obtaining module, a logistics transportation parameter collecting module, a receiver goods receiving parameter collecting module, a transportation quality coefficient analyzing module and an intelligent recommendation terminal;
the supplier order issuing logistics record screening module is used for screening each order issuing logistics record in a preset screening time interval from all order issuing logistics records of the supplier according to the preset screening time interval, numbering the screened order issuing logistics records according to the order of order issuing logistics time of the screened order issuing logistics records, and sequentially marking the order issuing logistics records as 1,2.. i.. n;
the order-issuing logistics information acquisition module is used for numbering each itemThe order material flow record obtains the order material flow parameter, wherein the order material flow parameter includes the name of the order material flow, the time of the order material flow, the address of the supplier and the address of the receiver, and the order material flow parameter of each obtained order material flow record forms the order material flow parameter set Rw(rw1,rw2,...,rwi,...,rwn),rwi represents data corresponding to the w-th order logistics parameter of the ith order logistics record, w represents the order logistics parameter, and w is p1, p2, p3, p4, p1, p2, p3, and p4 respectively represent the name of the order logistics party, the order logistics time, the address of the supplier, and the address of the receiver;
the logistics transportation parameter collection module is used for collecting logistics transportation parameters in the logistics transportation process by the corresponding logistics transportation party receiving the order-placing logistics parameter set sent by the order-placing logistics information acquisition module, wherein the logistics transportation parameter collection module comprises a logistics transportation time length counting unit, a logistics transportation cost counting unit and a logistics transportation parameter set construction unit;
the logistics transportation duration counting unit is used for extracting the name of the order issuing logistics party corresponding to each order issuing logistics record from the order issuing logistics parameter set, collecting the delivery time point and the receiving time point of the order issuing logistics party for carrying out logistics transportation on the order issuing logistics record, counting the logistics transportation duration corresponding to each order issuing logistics record according to the delivery time point and the receiving time point corresponding to each order issuing logistics record, and sending the logistics transportation duration to the logistics transportation parameter set constructing unit;
the logistics transportation cost statistical unit is used for extracting a supplier address and a receiver address corresponding to each receipt logistics record from the receipt logistics parameter set, performing statistics on each logistics transportation route and corresponding transportation distance corresponding to each receipt logistics record according to the supplier address and the receiver address, numbering each logistics transportation route corresponding to each receipt logistics record according to a preset sequence, marking each logistics transportation route as 1,2The transportation distance of the transportation route is counted, the total transportation cost of each logistics transportation route corresponding to each ordering logistics record is counted, and a logistics transportation route cost set C is formedi(ci1,ci2,...,cij,...,cim),cij represents the total transportation cost of the jth logistics transportation route corresponding to the ith ordering logistics record, the actual transportation routes of the logistics party corresponding to each ordering logistics record are collected, the logistics transportation route cost sets are compared, the total transportation cost of the actual transportation routes of the logistics party corresponding to each ordering logistics record is screened, and the total transportation cost is sent to a logistics transportation parameter set construction unit;
the logistics transportation parameter set construction unit constructs the logistics transportation parameter set Q according to the received logistics transportation time corresponding to each order-giving logistics record and the total transportation cost of the actual transportation route of the logistics partyu(qu1,qu2,...,qui,...,qun),qui represents a numerical value corresponding to the u-th logistics transportation parameter recorded by the ith lower order logistics, u represents the logistics transportation parameter, u is d1, d2, d3, d1, d2 and d3 respectively represent the name of a logistics party, the logistics transportation duration and the total transportation cost, and the logistics transportation parameter set construction unit sends the logistics transportation parameter set to the transportation quality coefficient analysis module;
the goods receiving parameter collecting module of the goods receiver is used for collecting the goods transportation package damage condition and the evaluation condition of the logistics transportation after the goods receiver receives the goods, wherein the obtained transportation package damage condition corresponding to each lower order logistics record forms a logistics transportation package damage parameter set Bs(bs1,bs2,...,bsi,...,bsn),bsi represents the damage parameter of the s-th logistics transportation package corresponding to the ith order-placing logistics record, s represents the damage parameter of the logistics transportation package, s is sd, sn, sd and sn respectively represent damage and are not damaged, the obtained logistics transportation evaluation condition corresponding to each order-placing logistics record forms a logistics transportation evaluation parameter set Fk(fk1,fk2,...,fki,...,fkn),fki is expressed as the ith lower order streamRecording a corresponding kth logistics transportation evaluation parameter, wherein k represents the logistics transportation evaluation parameter, and k is kg, km, kb, kg, km and kb respectively represent good evaluation, medium evaluation and bad evaluation;
the transportation quality coefficient analysis module receives the logistics transportation parameter set sent by the logistics transportation parameter collection module, receives the logistics transportation package damage parameter set and the logistics transportation evaluation parameter set sent by the goods receiving party goods receiving parameter collection module, extracts the logistics party name corresponding to each lower single logistics record from the received logistics transportation parameter set, compares the logistics party names with each other, checks whether the same logistics party name exists, if the same logistics party name exists, counts the number of the same logistics party, each same logistics party is marked as a candidate logistics party, and then numbers each candidate logistics party, and marks the number as 1,2 The logistics transportation time length, the total transportation cost, the logistics transportation package damage parameter and the logistics transportation evaluation parameter of the single logistics record number are calculated, mean values of the logistics transportation time length and the total transportation cost of each selected candidate logistics party corresponding to each next single logistics record number are calculated to obtain the average logistics transportation time length and the average total transportation cost corresponding to each candidate logistics party, the logistics transportation package damage parameters of each selected candidate logistics party corresponding to each next single logistics record number are compared with each other, the transportation package damage times and the transportation package damage times corresponding to each candidate logistics party are counted, the transportation package damage rate corresponding to each candidate logistics party is further calculated, the logistics transportation evaluation parameters of each selected candidate logistics party corresponding to each next single logistics record number are compared with each other, and the good evaluation times corresponding to each candidate logistics party are counted, The method comprises the following steps of calculating the good evaluation times and the bad evaluation times corresponding to each candidate logistics party, synthesizing the good evaluation times and the bad evaluation times to obtain the average logistics transportation time length, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party, and counting the transportation quality coefficients corresponding to each candidate logistics party by a transportation quality coefficient analysis module according to the average logistics transportation time length, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party and sending the transportation quality coefficients to an intelligent recommendation terminal;
the intelligent recommendation terminal receives the transportation quality coefficients corresponding to the candidate logistics parties sent by the transportation quality coefficient analysis module, sorts the candidate logistics parties according to the transportation quality coefficients corresponding to the candidate logistics parties from large to small to obtain the sorting results of the candidate logistics parties, extracts the first candidate logistics party from the sorting results, marks the first candidate logistics party as the logistics party with the best quality, and recommends the logistics party to the supplier.
Preferably, the specific screening method for screening each order logistics record in the preset screening time interval by the order logistics record screening module under the supplier comprises the following steps:
s1: determining a screening starting time and a screening finishing time according to a preset screening time interval;
s2: obtaining the order issuing time of each order issuing record from all order issuing records of the supplier;
s3: and comparing the order issuing time of each acquired order issuing physical distribution record with the screening starting time and the screening ending time, analyzing whether the order issuing physical distribution record is within the screening starting time and the screening ending time, if so, screening the order issuing physical distribution record, and if not, giving up the order issuing physical distribution record so as to obtain each order issuing physical distribution record within the preset screening time interval.
Preferably, the logistics transportation duration statistical method corresponding to each order placing logistics record is to subtract the delivery time point from the receiving time point corresponding to each order placing logistics record.
Preferably, the calculation method of the total transportation cost of each logistics transportation route corresponding to each order-placing logistics record is to multiply the transportation cost corresponding to the unit transportation distance of each logistics transportation route corresponding to each order-placing logistics record by the transportation distance of each logistics transportation route corresponding to each order-placing logistics record.
Preferably, the calculation formula of the average logistics transportation time corresponding to each candidate logistics party is
Figure BDA0002786759160000061
In the formula
Figure BDA0002786759160000062
Expressed as the average logistics transportation time length, T, corresponding to the a-th candidate logistics partyaAnd b represents the logistics transportation time corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party.
Preferably, the calculation formula of the average total transportation cost corresponding to each candidate logistics party is
Figure BDA0002786759160000063
In the formula
Figure BDA0002786759160000064
Expressed as the average total transportation cost, O, corresponding to the a-th candidate logistics partyaAnd b represents the total transportation cost corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party.
Preferably, the calculation formula of the transport package damage rate corresponding to each candidate logistics party is
Figure BDA0002786759160000065
Middle X typeaExpressed as the transport package damage rate, y, corresponding to the a-th candidate logistics partya sdExpressed as number of transport package damages, y, of the a-th candidate logistics sidea snExpressed as the number of times the transport package of the a-th candidate logistics party is undamaged.
Preferably, the calculation formula of the good rating corresponding to each candidate logistics party is
Figure BDA0002786759160000066
Middle X typeaExpressed as the good rating, z, corresponding to the a-th candidate logistics partya kgExpressed as the number of favorable comments, z, corresponding to the a-th candidate logistics partya kmExpressed as the number of hits, z, corresponding to the a-th candidate logistics partya kbExpressed as the number of bad scores corresponding to the a-th candidate logistics party.
Preferably, the calculation formula of the transportation quality coefficient corresponding to each candidate logistics party is
Figure BDA0002786759160000067
In the formula
Figure BDA0002786759160000068
And the transport quality coefficients are expressed as transport quality coefficients corresponding to the a-th candidate logistics party, wherein alpha, beta, gamma and epsilon are respectively expressed as influence weight coefficients of preset logistics transport time length, total transport cost, transport package damage rate and favorable evaluation rate on the transport quality coefficients, wherein alpha is 0.3, beta is 0.35, gamma is 0.8 and epsilon is 0.85.
The invention has the following beneficial effects:
1. the invention screens the order logistics records of the supplier, constructs the order logistics parameter set according to the screened order logistics records, simultaneously acquires the logistics transportation parameters, the logistics transportation package damage parameters and the logistics transportation evaluation parameters according to the order logistics parameter set, further screens the candidate logistics parties, acquires the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate of the candidate logistics parties, counts the transportation quality coefficients of the candidate logistics parties according to the above, sorts the candidate logistics parties, recommends the logistics party with the best quality to the supplier according to the sorting result, solves the problem that the supply chain between the supply and the logistics parties needs to be solved by managing and optimizing, overcomes the problem that the current supplier selects the logistics parties without reliable selection basis, and reduces the logistics transportation cost of the supplier, the logistics transportation efficiency is improved, the purchasing experience of the purchasing party on the supplier is enhanced, the repurchase rate of the purchasing party on the supplier is further improved, and the market competitiveness of the supplier is enhanced.
2. According to the invention, each candidate logistics party is screened from a plurality of logistics parties collaborating in the single logistics record of the supplier, and then the transportation quality coefficient statistics is carried out on the screened candidate logistics parties by integrating the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate of the screened candidate logistics parties, so that the transportation quality coefficient of each candidate logistics party realizes the quantitative display of the transportation quality condition of the candidate logistics party, and a reliable reference basis is provided for the subsequent sorting of each candidate party and the recommendation of the best quality candidate party.
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The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a schematic block diagram of the present invention;
fig. 2 is a schematic diagram of a logistics transportation parameter collection module according to the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the intelligent supply chain logistics optimization management system based on cloud computing comprises a supplier order logistics record screening module, an order logistics information obtaining module, a logistics transportation parameter collecting module, a receiver goods receiving parameter collecting module, a transportation quality coefficient analyzing module and an intelligent recommendation terminal, wherein the supplier order logistics record screening module is connected with the order logistics information obtaining module, the order logistics information obtaining module is respectively connected with the logistics transportation parameter collecting module and the receiver goods receiving parameter collecting module, and the transportation quality coefficient analyzing module is respectively connected with the logistics transportation parameter collecting module, the receiver goods receiving parameter collecting module and the intelligent recommendation terminal.
The supplier order logistics record screening module is used for screening each order logistics record in a preset screening time interval from all order logistics records in the supplier according to the preset screening time interval, and the specific screening method comprises the following steps:
s1: determining a screening starting time and a screening finishing time according to a preset screening time interval;
s2: obtaining the order issuing time of each order issuing record from all order issuing records of the supplier;
s3: comparing the order issuing time of each acquired order issuing record with the screening starting time and the screening ending time, analyzing whether the order issuing record is within the screening starting time and the screening ending time, if so, screening the order issuing record, otherwise, giving up the order issuing record, thus obtaining each order issuing record within a preset screening time interval, numbering the screened order issuing records according to the order of the order issuing time, and sequentially marking the order issuing records as 1,2.
The order logistics information acquisition module is used for acquiring order logistics parameters of each numbered order logistics record, wherein the order logistics parameters comprise an order logistics party name, an order logistics time, a supplier address and a receiver address, and the order logistics parameters of the acquired order logistics records form an order logistics parameter set Rw(rw1,rw2,...,rwi,...,rwn),rwAnd i represents data corresponding to the w-th order material flow parameter of the ith order material flow record, w represents the order material flow parameter, and w is p1, p2, p3, p4, p1, p2, p3 and p4 respectively represent the name of the order material flow, the time of order material flow, the address of a supplier and the address of a receiver.
The supplier order issuing logistics parameter is acquired through the supplier order issuing logistics record in the preset screening time interval of the screening, and convenience is provided for logistics transportation parameter collection and goods receiving parameter collection after goods receiving.
The logistics transportation parameter collection module is used for collecting logistics transportation parameters in the logistics transportation process by the logistics transportation party receiving the order-placing logistics parameter set sent by the order-placing logistics information acquisition module, wherein the logistics transportation parameter collection module comprises a logistics transportation time length counting unit, a logistics transportation cost counting unit and a logistics transportation parameter set construction unit.
The logistics transportation duration counting unit is used for extracting the name of the order issuing logistics party corresponding to each order issuing logistics record from the order issuing logistics parameter set, collecting the delivery time point and the receiving time point of the order issuing logistics party for carrying out logistics transportation on the order issuing logistics record, counting the logistics transportation duration corresponding to each order issuing logistics record according to the delivery time point and the receiving time point corresponding to each order issuing logistics record, wherein the logistics transportation duration counting method corresponding to each order issuing logistics record is that the delivery time point is subtracted from the receiving time point corresponding to each order issuing logistics record, and the logistics transportation duration corresponding to each order issuing logistics record is sent to the logistics transportation parameter set building unit.
The logistics transportation cost statistical unit is used for extracting a supplier address and a receiver address corresponding to each receipt logistics record from the receipt logistics parameter set, performing statistics on each logistics transportation route and corresponding transportation distance corresponding to each receipt logistics record according to the supplier address and the receiver address, numbering each logistics transportation route corresponding to each receipt logistics record according to a preset sequence, respectively marking the logistics transportation routes as 1,2i(ci1,ci2,...,cij,...,cim),cij is the total transportation cost of the jth logistics transportation route corresponding to the ith ordering logistics record, wherein the total transportation cost of each logistics transportation route corresponding to each ordering logistics record is calculated by corresponding the unit transportation distance of each logistics transportation route corresponding to each ordering logistics recordThe transportation cost is multiplied by the transportation distance of each ordering logistics record corresponding to each logistics transportation route, the actual transportation route of the logistics party corresponding to each ordering logistics record is collected at the moment, the logistics transportation route cost sets are compared, the total transportation cost of each ordering logistics record corresponding to the actual transportation route of the logistics party is screened, and the total transportation cost is sent to the logistics transportation parameter set construction unit.
The logistics transportation parameter set construction unit constructs the logistics transportation parameter set Q according to the received logistics transportation time corresponding to each order-placing logistics record and the total transportation cost of the actual transportation route of the logistics partyu(qu1,qu2,...,qui,...,qun),quThe system comprises a logistics transportation parameter set establishing unit, a transportation quality coefficient analysis module, a logistics transportation parameter set establishing unit and a logistics quality coefficient analysis module, wherein i represents a numerical value corresponding to the u-th logistics transportation parameter of the ith ordering logistics record, u represents the logistics transportation parameter, u is d1, d2, d3, d1, d2 and d3 respectively represent the name of a logistics party, the length of the logistics transportation time and the total transportation.
The goods receiving parameter collecting module of the goods receiver is used for collecting the goods transportation package damage condition and the evaluation condition of the logistics transportation after the goods receiver receives the goods, wherein the obtained transportation package damage condition corresponding to each lower order logistics record forms a logistics transportation package damage parameter set Bs(bs1,bs2,...,bsi,...,bsn),bsi represents the damage parameter of the s-th logistics transportation package corresponding to the ith order-placing logistics record, s represents the damage parameter of the logistics transportation package, s is sd, sn, sd and sn respectively represent damage and are not damaged, the obtained logistics transportation evaluation condition corresponding to each order-placing logistics record forms a logistics transportation evaluation parameter set Fk(fk1,fk2,...,fki,...,fkn),fki represents the kth logistics transportation evaluation parameter corresponding to the ith ordering logistics record, k represents the logistics transportation evaluation parameter, k is kg, km, kb, kg, km, kb respectively represents good evaluation, medium evaluation and bad evaluation, and the receiving party goods receiving parameter collection module sends the logistics transportation package damage parameter set and the logistics transportation evaluation parameter setAnd sending the data to a transportation quality coefficient analysis module.
The transportation quality coefficient analysis module receives the logistics transportation parameter set sent by the logistics transportation parameter collection module, receives the logistics transportation package damage parameter set and the logistics transportation evaluation parameter set sent by the receiving parameter collection module of the receiving party, extracts the logistics party name corresponding to each lower single logistics record from the received logistics transportation parameter set, compares the logistics party names with each other, checks whether the same logistics party name exists, if the same logistics party name exists, counts the number of the same logistics party, each same logistics party is marked as a candidate logistics party, the embodiment screens the same logistics party from the logistics transportation parameter set as the candidate logistics party, but does not process other different logistics parties, so that the logistics party with the same purpose has multiple logistics transportation times, the obtained logistics transportation data have multiple groups, and the logistics transportation data of the multiple groups of the same logistics party can be analyzed, therefore, the transportation quality coefficient is obtained, and for different logistics parties, the logistics transportation times are only once, one-time logistics transportation data may have contingency, and the logistics transportation data cannot be analyzed, so that different logistics parties are not processed. The transportation quality coefficient analysis module numbers the counted candidate logistics parties, and marks the candidate logistics parties as 1,2.. a.. h in sequence, meanwhile, counting the corresponding single logistics record number of each candidate logistics party, which can be marked as 1,2.. b.. l, and screening the logistics transportation time, the total transportation cost, the logistics transportation package damage parameter and the logistics transportation evaluation parameter corresponding to the order record number from the logistics transportation parameter set and the logistics transportation evaluation parameter set according to the counted order record numbers corresponding to the candidate logistics parties, carrying out mean value calculation on the logistics transportation time and the total transportation cost corresponding to the order record numbers corresponding to the candidate logistics parties to obtain the average logistics transportation time and the average total transportation cost corresponding to the candidate logistics parties, wherein the average logistics transportation time corresponding to the candidate logistics parties is calculated according to the formula.
Figure BDA0002786759160000111
In the formula
Figure BDA0002786759160000112
Expressed as the average logistics transportation time length, T, corresponding to the a-th candidate logistics partyab is expressed as the logistics transportation time corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party, and the calculation formula of the average total transportation cost corresponding to each candidate logistics party is
Figure BDA0002786759160000113
In the formula
Figure BDA0002786759160000114
Expressed as the average total transportation cost, O, corresponding to the a-th candidate logistics partyab represents the total transportation cost corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party, then the logistics transportation package damage parameters of the selected logistics party corresponding to the order-placing logistics record numbers are mutually compared, the transportation package damage times and the transportation package damage-free times corresponding to the candidate logistics parties are counted, and the transportation package damage rate corresponding to the candidate logistics parties is calculated
Figure BDA0002786759160000121
Middle X typeaExpressed as the transport package damage rate, y, corresponding to the a-th candidate logistics partya sdExpressed as number of transport package damages, y, of the a-th candidate logistics sidea snThe number of times of undamaged transportation packages of the a-th candidate logistics party is represented, logistics transportation evaluation parameters of the selected candidate logistics party corresponding to each next logistics record number are compared with each other, the number of times of good evaluation, the number of times of medium evaluation and the number of times of bad evaluation corresponding to each candidate logistics party are counted, and the good evaluation rate corresponding to each candidate logistics party is further calculated
Figure BDA0002786759160000125
Middle X typeaExpressed as the good rating, z, corresponding to the a-th candidate logistics partya kgExpressed as the number of favorable comments, z, corresponding to the a-th candidate logistics partya kmExpressed as the a-th candidateNumber of hits, z, corresponding to the adversarya kbExpressed as the bad evaluation times corresponding to the a-th candidate logistics party, the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party are obtained by integrating the above, and the transportation quality coefficient analysis module counts the transportation quality coefficient corresponding to each candidate logistics party according to the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party
Figure BDA0002786759160000123
In the formula
Figure BDA0002786759160000124
The transport quality coefficient is expressed as a transport quality coefficient corresponding to the a-th candidate logistics party, alpha, beta, gamma and epsilon are respectively expressed as influence weight coefficients of preset logistics transport time, total transport cost, transport package damage rate and good evaluation rate on the transport quality coefficient, wherein alpha is 0.3, beta is 0.35, gamma is 0.8 and epsilon is 0.85, the larger the transport quality coefficient of a certain candidate logistics party is, the better the transport quality of the candidate logistics party is, and the statistical transport quality coefficient of each candidate logistics party is sent to the intelligent recommendation terminal.
In the embodiment, each candidate logistics party is screened from a plurality of logistics parties collaborating in the single logistics record of the supplier, then the transportation quality coefficient statistics is carried out on each screened candidate logistics party by integrating the average logistics transportation time, the average total transportation cost, the transportation package damage rate and the good evaluation rate of each screened candidate logistics party, the statistics flakiness caused by the fact that the transportation quality coefficient is counted only according to one parameter is avoided, the transportation quality coefficient of each candidate logistics party obtained by the statistics is used for realizing the quantitative display of the transportation quality condition of each candidate logistics party, a reliable reference basis is provided for the subsequent ranking of each candidate party and the recommendation of the best quality candidate party, and the problem that the logistics party selected by the supplier does not have a reliable selection basis at present is solved.
The intelligent recommendation terminal receives the transportation quality coefficients corresponding to the candidate logistics parties sent by the transportation quality coefficient analysis module, sorts the candidate logistics parties according to the transportation quality coefficients corresponding to the candidate logistics parties from large to small to obtain the sorting results of the candidate logistics parties, visually displays the transportation quality conditions of the candidate logistics parties, extracts the candidate logistics parties ranked at the first position from the sorting results, marks the candidate logistics parties as the logistics parties with the best quality, and recommends the logistics parties to the supplier, and the supplier carries out logistics transportation by using the recommended logistics parties with the best quality, so that the logistics transportation cost of the supplier is reduced, the logistics transportation efficiency is improved, the purchasing experience of the buyer to the supplier is enhanced, the purchase rate of the buyer to the supplier is improved, and the market competitiveness of the supplier is enhanced.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.

Claims (9)

1. The utility model provides a wisdom supply chain commodity circulation intelligence optimization management system based on cloud calculates which characterized in that: the system comprises a supplier ordering logistics record screening module, an ordering logistics information acquisition module, a logistics transportation parameter collection module, a receiver receiving parameter collection module, a transportation quality coefficient analysis module and an intelligent recommendation terminal;
the supplier order issuing logistics record screening module is used for screening each order issuing logistics record in a preset screening time interval from all order issuing logistics records of the supplier according to the preset screening time interval, numbering the screened order issuing logistics records according to the order of order issuing logistics time of the screened order issuing logistics records, and sequentially marking the order issuing logistics records as 1,2.. i.. n;
the order logistics information acquisition module is used for acquiring order logistics parameters of each numbered order logistics record, wherein the order logistics parameters comprise an order logistics party name, an order logistics time, a supplier address and a receiver address, and the order logistics parameters of the acquired order logistics records form an order logistics parameter set Rw(rw1,rw2,...,rwi,...,rwn),rwi represents data corresponding to the w-th order logistics parameter of the ith order logistics record, w represents the order logistics parameter, and w is p1, p2, p3, p4, p1, p2, p3, and p4 respectively represent the name of the order logistics party, the order logistics time, the address of the supplier, and the address of the receiver;
the logistics transportation parameter collection module is used for collecting logistics transportation parameters in the logistics transportation process by the corresponding logistics transportation party receiving the order-placing logistics parameter set sent by the order-placing logistics information acquisition module, wherein the logistics transportation parameter collection module comprises a logistics transportation time length counting unit, a logistics transportation cost counting unit and a logistics transportation parameter set construction unit;
the logistics transportation duration counting unit is used for extracting the name of the order issuing logistics party corresponding to each order issuing logistics record from the order issuing logistics parameter set, collecting the delivery time point and the receiving time point of the order issuing logistics party for carrying out logistics transportation on the order issuing logistics record, counting the logistics transportation duration corresponding to each order issuing logistics record according to the delivery time point and the receiving time point corresponding to each order issuing logistics record, and sending the logistics transportation duration to the logistics transportation parameter set constructing unit;
the logistics transportation cost statistical unit is used for extracting a supplier address and a receiver address corresponding to each receipt logistics record from the receipt logistics parameter set, performing statistics on each logistics transportation route and corresponding transportation distance corresponding to each receipt logistics record according to the supplier address and the receiver address, numbering each logistics transportation route corresponding to each receipt logistics record according to a preset sequence, marking the logistics transportation routes as 1,2i(ci1,ci2,...,cij,...,cim),cij represents the total transportation cost of the j-th logistics transportation route corresponding to the ith ordering logistics recordAt the moment, collecting the actual transportation route of the logistics party corresponding to each order-placing logistics record, comparing the cost sets of the logistics transportation routes, screening the total transportation cost of the actual transportation route of the logistics party corresponding to each order-placing logistics record, and sending the total transportation cost to a logistics transportation parameter set construction unit;
the logistics transportation parameter set construction unit constructs the logistics transportation parameter set Q according to the received logistics transportation time corresponding to each order-giving logistics record and the total transportation cost of the actual transportation route of the logistics partyu(qu1,qu2,...,qui,...,qun),qui represents a numerical value corresponding to the u-th logistics transportation parameter recorded by the ith lower order logistics, u represents the logistics transportation parameter, u is d1, d2, d3, d1, d2 and d3 respectively represent the name of a logistics party, the logistics transportation duration and the total transportation cost, and the logistics transportation parameter set construction unit sends the logistics transportation parameter set to the transportation quality coefficient analysis module;
the goods receiving parameter collecting module of the goods receiver is used for collecting the goods transportation package damage condition and the evaluation condition of the logistics transportation after the goods receiver receives the goods, wherein the obtained transportation package damage condition corresponding to each lower order logistics record forms a logistics transportation package damage parameter set Bs(bs1,bs2,...,bsi,...,bsn),bsi represents the damage parameter of the s-th logistics transportation package corresponding to the ith order-placing logistics record, s represents the damage parameter of the logistics transportation package, s is sd, sn, sd and sn respectively represent damage and are not damaged, the obtained logistics transportation evaluation condition corresponding to each order-placing logistics record forms a logistics transportation evaluation parameter set Fk(fk1,fk2,...,fki,...,fkn),fkThe system comprises a receiving party goods receiving parameter collection module, a transportation quality coefficient analysis module, a receiving party goods receiving parameter collection module, a logistics transportation package damage parameter collection module and a logistics transportation evaluation parameter collection module, wherein i represents a kth logistics transportation evaluation parameter corresponding to an ith order-placing logistics record, k represents a logistics transportation evaluation parameter, and k is kg, km, kb, kg, km and kb which are respectively represented as good evaluation, medium evaluation and bad evaluation;
the transportation quality coefficient analysis module receives the logistics transportation parameter set sent by the logistics transportation parameter collection module, receives the logistics transportation package damage parameter set and the logistics transportation evaluation parameter set sent by the goods receiving party goods receiving parameter collection module, extracts the logistics party name corresponding to each lower single logistics record from the received logistics transportation parameter set, compares the logistics party names with each other, checks whether the same logistics party name exists, if the same logistics party name exists, counts the number of the same logistics party, each same logistics party is marked as a candidate logistics party, and then numbers each candidate logistics party, and marks the number as 1,2 The logistics transportation time length, the total transportation cost, the logistics transportation package damage parameter and the logistics transportation evaluation parameter of the single logistics record number are calculated, mean values of the logistics transportation time length and the total transportation cost of each selected candidate logistics party corresponding to each next single logistics record number are calculated to obtain the average logistics transportation time length and the average total transportation cost corresponding to each candidate logistics party, the logistics transportation package damage parameters of each selected candidate logistics party corresponding to each next single logistics record number are compared with each other, the transportation package damage times and the transportation package damage times corresponding to each candidate logistics party are counted, the transportation package damage rate corresponding to each candidate logistics party is further calculated, the logistics transportation evaluation parameters of each selected candidate logistics party corresponding to each next single logistics record number are compared with each other, and the good evaluation times corresponding to each candidate logistics party are counted, The method comprises the following steps of calculating the good evaluation times and the bad evaluation times corresponding to each candidate logistics party, synthesizing the good evaluation times and the bad evaluation times to obtain the average logistics transportation time length, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party, and counting the transportation quality coefficients corresponding to each candidate logistics party by a transportation quality coefficient analysis module according to the average logistics transportation time length, the average total transportation cost, the transportation package damage rate and the good evaluation rate corresponding to each candidate logistics party and sending the transportation quality coefficients to an intelligent recommendation terminal;
the intelligent recommendation terminal receives the transportation quality coefficients corresponding to the candidate logistics parties sent by the transportation quality coefficient analysis module, sorts the candidate logistics parties according to the transportation quality coefficients corresponding to the candidate logistics parties from large to small to obtain the sorting results of the candidate logistics parties, extracts the first candidate logistics party from the sorting results, marks the first candidate logistics party as the logistics party with the best quality, and recommends the logistics party to the supplier.
2. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the specific screening method for screening each order logistics record in the preset screening time interval by the order logistics record screening module under the supplier comprises the following steps:
s1: determining a screening starting time and a screening finishing time according to a preset screening time interval;
s2: obtaining the order issuing time of each order issuing record from all order issuing records of the supplier;
s3: and comparing the order issuing time of each acquired order issuing physical distribution record with the screening starting time and the screening ending time, analyzing whether the order issuing physical distribution record is within the screening starting time and the screening ending time, if so, screening the order issuing physical distribution record, and if not, giving up the order issuing physical distribution record so as to obtain each order issuing physical distribution record within the preset screening time interval.
3. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the logistics transportation duration statistical method corresponding to each ordering logistics record is to subtract the delivery time point from the receiving time point corresponding to each ordering logistics record.
4. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the calculation method of the total transportation cost of each ordering logistics record corresponding to each logistics transportation route is to multiply the transportation cost corresponding to the unit transportation distance of each ordering logistics record corresponding to each logistics transportation route by the transportation distance of each ordering logistics record corresponding to each logistics transportation route.
5. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the average logistics transportation time length calculation formula corresponding to each candidate logistics party is
Figure FDA0002786759150000051
In the formula
Figure FDA0002786759150000052
Expressed as the average logistics transportation time length, T, corresponding to the a-th candidate logistics partyaAnd b represents the logistics transportation time corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party.
6. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the calculation formula of the average total transportation cost corresponding to each candidate logistics party is
Figure FDA0002786759150000053
In the formula
Figure FDA0002786759150000054
Expressed as the average total transportation cost, O, corresponding to the a-th candidate logistics partyaAnd b represents the total transportation cost corresponding to the b-th order-placing logistics record corresponding to the a-th candidate logistics party.
7. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the calculation formula of the transport package damage rate corresponding to each candidate logistics party is
Figure FDA0002786759150000055
Middle X typeaExpressed as the transport package damage rate, y, corresponding to the a-th candidate logistics partya sdExpressed as number of transport package damages, y, of the a-th candidate logistics sidea snExpressed as the number of times the transport package of the a-th candidate logistics party is undamaged.
8. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the calculation formula of the favorable rating corresponding to each candidate logistics party is
Figure FDA0002786759150000061
Middle X typeaExpressed as the good rating, z, corresponding to the a-th candidate logistics partya kgExpressed as the number of favorable comments, z, corresponding to the a-th candidate logistics partya kmExpressed as the number of hits, z, corresponding to the a-th candidate logistics partya kbExpressed as the number of bad scores corresponding to the a-th candidate logistics party.
9. The intelligent cloud-computing-based supply chain logistics optimization management system as claimed in claim 1, wherein: the calculation formula of the transportation quality coefficient corresponding to each candidate logistics party is
Figure FDA0002786759150000062
In the formula
Figure FDA0002786759150000063
And the transport quality coefficients are expressed as transport quality coefficients corresponding to the a-th candidate logistics party, wherein alpha, beta, gamma and epsilon are respectively expressed as influence weight coefficients of preset logistics transport time length, total transport cost, transport package damage rate and favorable evaluation rate on the transport quality coefficients, wherein alpha is 0.3, beta is 0.35, gamma is 0.8 and epsilon is 0.85.
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