CN114742607A - Multi-user cooperative management system and method based on logistics supply chain - Google Patents
Multi-user cooperative management system and method based on logistics supply chain Download PDFInfo
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Abstract
The invention discloses a multi-user cooperative management system and a method based on a logistics supply chain, which comprises the following steps: an order information acquisition module which acquires the product type number, the order quantity DL, the order specified time DT and the receiving place P2 of the customer order; the production information analysis module monitors production departments in a supply chain and acquires a relation curve of the production rate and the qualified rate of each product type in the production process; the storage loss data monitoring module acquires the natural damage rate of each product type in the storage process; and the logistics distribution information analysis module plans different distribution routes according to the relationship between the position of the storage department and the order receiving place, acquires road conditions in the different distribution routes, and obtains distribution time of the different distribution routes and product loss rate in the distribution process.
Description
Technical Field
The invention relates to the technical field of logistics supply chains, in particular to a multi-user cooperative management system and a multi-user cooperative management method based on a logistics supply chain.
Background
With the rapid development of computer technology, people are more and more widely used for the computer technology, and in the field of logistics supply chains, people acquire data conditions in different links in the logistics supply chain through the computer technology, so that the data in each link is comprehensively analyzed, and effective management of each link in the logistics supply chain is realized.
The existing multi-user cooperative management system based on the logistics supply chain only introduces the construction mode of the management system (i.e. the link of the supply chain) simply, but does not analyze the specific operation flow and the corresponding management method, and does not introduce the consideration of the multi-user cooperative management according to which factors, so that the system has a great defect.
In view of the above situation, there is a need for a system and method for multi-user collaborative management based on logistics supply chain.
Disclosure of Invention
The present invention provides a multi-user cooperative management system and method based on a logistics supply chain, so as to solve the problems proposed in the background art.
In order to solve the technical problems, the invention provides the following technical scheme: a multi-user cooperative management system based on a logistics supply chain comprises:
an order information acquisition module which acquires the product type number, the order quantity DL, the order specified time DT and the receiving place P2 of the customer order;
the production information analysis module monitors production departments in a supply chain and acquires a relation curve of the production rate and the qualified rate of each product type in the production process;
the storage loss data monitoring module acquires the natural damage rate of each product type in the storage process;
the logistics distribution information analysis module plans different distribution routes according to the relationship between the position of the storage department and the order receiving place, acquires road conditions in the different distribution routes, and obtains distribution time of the different distribution routes and product loss rate in the distribution process;
the supply scheme generation module is used for acquiring a supply scheme corresponding to a customer order by combining information in the order information acquisition module, the production information analysis module, the storage loss data monitoring module and the logistics distribution information analysis module;
and the supply data adjusting module acquires the supply scheme corresponding to the customer order obtained by the supply scheme generating module and screens out the optimal supply scheme of the customer order.
In the process of multi-user collaborative management, each link in a logistics supply chain is used as a user needing collaborative management, analysis and management are carried out on customer order data through data relations corresponding to a plurality of users (data relations corresponding to each link in the supply chain), and under the condition that customer orders are guaranteed to be met, the maximum income is achieved, namely the optimal supply scheme of the customer orders is achieved (when customer orders are met, the number of products needing to be produced by a production department is the minimum, the production cost is the lowest, and the enterprise income is the highest).
Further, the method for acquiring the relation curve between the production rate and the yield of each product type in the production process by the production information analysis module comprises the following steps:
s1.1, acquiring historical data corresponding to production departments in a supply chain, numbering product types, and collecting an i1 th data set A in an i th product type in the historical datai-i1Said
wherein ,
the total production number corresponding to the order to which the ith 1 data set belongs in the ith product type in the historical data is shown,
S1.2, summarizing data sets with equal values corresponding to third elements in the data sets corresponding to the ith product type in the historical data into a blank set to obtain a data set summarizing set corresponding to each production rate in the ith product type in the historical data,
recording the jth data set in the ith product category in the historical data as Bi-j，
Recording the 2 nd element in the data set corresponding to the jth 1 th element in the jth data set summary set in the ith product category in the historical data as
Recording the 4 th element in the data set corresponding to the jth 1 th element in the jth data set summary set in the ith product category in the historical data as
Recording the production rate corresponding to the jth data set collection in the ith product category in the historical data as B3i-j；
S1.3, constructing a plane rectangular coordinate system by taking o as an origin, taking the production rate as an x axis and taking the qualified rate as a y axis;
s1.4, obtaining a coordinate fitting point corresponding to the jth data set collection in the ith product type in the historical data (B3)i-j，Ci-j) Said C isi-jRepresenting that the jth data set in the ith product category in the historical data corresponds to the jth data setThe product percent of pass of (2);
s1.5, marking coordinate fitting points corresponding to each data set collection set in the ith product type in the historical data acquired in the S1.4 in a plane rectangular coordinate system, and performing linear fitting on the marked coordinate fitting points through a linear fitting model prefabricated in a database to obtain a relation curve of the production rate and the qualification rate of the ith product type in the historical data in the production process, and marking the relation curve as Fi (x);
and S1.6, obtaining a relation curve of the production rate and the qualified rate of each product type in the historical data in the production process.
In the process of acquiring the relation curve between the production rate and the qualified rate of each product type in the production process, the production information analysis module acquires the ith 1 data set A in the ith product type in the historical datai-i1The method is used for classifying order information in historical data and recording each order information in a data set form, so that the information format in the historical data is uniform, the product types in the historical data are convenient to analyze in the subsequent process, and a relation curve between the production rate and the qualified rate of the ith product type in the historical data in the production process is obtained; and fi (x) is obtained for comprehensively analyzing the conditions in each link in the logistics supply chain in the subsequent step, and further providing data basis for obtaining the optimal supply scheme of the customer order.
Further, the method for obtaining the product yield corresponding to the jth data set summary set in the ith product category in the historical data comprises the following steps:
s1.4.1, acquiring a jth data set summary set in the ith product category in the historical data;
s1.4.2, calculating the 4 th element in the data set corresponding to the jth 1 element in the jth data set collection set in the ith product category in the historical data
Element 2 within the data set corresponding to element j1
Get the qualification rate corresponding to the jth 1 element in the jth data set summary set in the ith product category in the historical data
S1.4.3, obtaining the product percent of pass C corresponding to the jth data set collection in the ith product category in the historical datai-j，
The above-mentioned
Wherein nij represents the number of elements in the j-th data set aggregate in the ith product category in the historical data.
According to the invention, in the process of obtaining the product percent of pass corresponding to the jth data set summary set in the ith product type in the historical data, the product percent of pass C corresponding to the jth data set summary set in the ith product type in the historical data is obtainedi-jWhen the temperature of the water is higher than the set temperature,
the sum of the 2 nd element values in the data set corresponding to each element in the jth data set summary set in the ith product category in the historical data is represented; computing
The method is to obtain the value of the 2 nd element in the data set corresponding to the j1 th element in the jth data set collection set in the ith product category in the historical data
To obtain the ratio of
Account for Ci-jThe weight ratio of (a); obtaining the qualification rate and the corresponding weight bias ratio corresponding to the jth 1 element in the jth data set summary set in the ith product type in the historical dataProduct percent of pass C of each element pair in the jth dataset summary seti-jSo that the final product yield C is obtainedi-jAnd is more accurate.
Further, the warehousing wear-out data monitoring module acquires the natural damage rate of each product type in the storage process by acquiring the ratio of the number of damaged products stored in each batch in each type of product to the number of stored products in the corresponding batch in the process of storing each product type in the historical data in the warehousing department, the average value of the corresponding ratios of each batch in the same type of product is the natural damage rate of the corresponding product type in the storage process,
the natural damage rate of the ith product category during storage is recorded as CSi.
Further, the method for acquiring road conditions in different distribution routes by the logistics distribution information analysis module comprises the following steps:
s2.1, acquiring a position P1 of a warehousing department and an order receiving place P2;
s2.2, obtaining different corresponding distribution routes from P1 to P2 in the map, and obtaining the corresponding lengths of different types of roads in each distribution route;
s2.3, obtaining the corresponding road surface damage degree of each type of road in different distribution routes;
s2.4, combining the length corresponding to each type of road in each distribution route and the corresponding road surface damage degree into a data pair, wherein the first number of the data pair represents the length, the second number of the data pair represents the damage degree of the road surface,
adding data pairs corresponding to different types of roads in the same distribution route into the same blank set to obtain a distribution route road condition set;
the method for acquiring the road surface damage degree corresponding to each type of road in different distribution routes in the S2.3 comprises the following steps:
s2.3.1, recording the length corresponding to the k1 type road in the k delivery route as
S2.3.2, will
Dividing the road into sections with the length of the first unit length, acquiring the number of single damaged areas which appear on the road surface in each section and are more than or equal to the first unit area,
the number of the single damaged areas of the road surface in the k2 th section of the k1 th type of road in the k-th distribution route, which are larger than or equal to the first unit area, is recorded as
Retrieval by database query
Road surface damage factor of the corresponding section is recorded as
S2.3.3, obtaining the road surface damage coefficients of each section in the k1 type road in the k-th distribution route, calculating the average value of the obtained road surface damage coefficients of each section, and obtaining the damage degree corresponding to the k1 type road in the k-th distribution route
Here, Nkk1 indicates the number of sections corresponding to the k 1-th type of road in the k-th distribution route.
In the process of acquiring the road conditions in different distribution routes, the logistics distribution information analysis module considers that the corresponding road types in the different routes are different and the lengths corresponding to the road types are different; the method comprises the steps of obtaining the corresponding road surface damage degree of each type of road in different distribution routes, wherein the influence degree on the distribution time of products and the loss rate of the products in the logistics distribution process is different in consideration of different road surface damage degrees in different types of roads; the method is used for ensuring the uniform form of road information in the distribution routes and facilitating calculation of distribution time of different distribution routes and product loss rate in the distribution process in the subsequent process.
Further, the method for obtaining the distribution time of different distribution routes and the product loss rate in the distribution process by the logistics distribution information analysis module comprises the following steps:
s3.1, acquiring the road condition sets of the distribution routes obtained in the S2.4;
s3.2, acquiring an influence value Gi (m) of average first unit length on the product loss rate of the ith type in a road with the damage degree of m in historical data, wherein the first unit length is marked as L0;
s3.3, obtaining the product loss rate of the ith kind of product in the distribution process when the ith kind of product passes through the kth distribution route
The described
Wherein Mk represents the number of types of roads for the ith type of product to pass through the kth distribution route;
s3.4, obtaining the distribution time of the ith kind of products passing through the kth distribution route
The above-mentioned
wherein ,
indicating that the vehicle delivered the ith category of product through the kth delivery route of the kth category 1The speed of the road is not affected by the damage degree of the road,
obtained by database query.
In the process of acquiring the distribution time of different distribution routes and the product loss rate in the distribution process by the logistics distribution information analysis module, Gi (m) is acquired, and the influence on the product is correspondingly changed in consideration of different damage degrees corresponding to roads or different types of the products distributed on the roads; obtaining product loss rate in distribution process
In the process of (1), calculate
Considering the influence value of the road damage degree corresponding to the k1 th type road in the k distribution route on the loss rate of the distributed ith type product, Gi (m) corresponds to a function, which represents that when the independent variable is m, the dependent variable is Gi (m), and the function Gi (m) is obtained through a database;
computing
Is to obtain the degree of road damage when the vehicle delivers the ith kind of product to pass through the k1 type road in the k delivery route
The corresponding speed after the influence is achieved, the time corresponding to each supply scheme is convenient to calculate, and a data basis is provided for subsequently screening the supply schemes meeting the customer order condition.
Further, the method for acquiring the supply scheme corresponding to the customer order by the supply scheme generation module includes the following steps:
s4.1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and the receiving place P2;
s4.2, a relation curve Fi (x) of the production rate and the qualification rate of the ith product type in the historical data in the production process;
s4.3, acquiring the natural damage rate of the ith product type in the storage process and recording the natural damage rate as CSi;
s4.4, obtaining the product loss rate of the ith kind of product in the distribution process when the ith kind of product passes through the kth distribution route
Obtaining a delivery time for the ith type of product through the kth delivery route
S4.5, calculating the total number Q1 of the products required to be produced for completing the customer order, calculating the total time length T occupied by the scheme corresponding to Q1,
the above-mentioned
Wherein i0 represents the number of the product category of the customer order, k3 represents the distribution route corresponding to P1 to P2 in the supply plan corresponding to Q1, x0 represents the production rate of the product in the supply plan corresponding to Q1, Fi0(x0) represents the qualification rate in the production process of the product in the supply plan corresponding to Q1,
the described
S4.6, Q1 and T corresponding to different supply schemes are obtained, Q1 and T corresponding to the same supply scheme form a scheme data pair, the scheme data pair with T being larger than or equal to DT is screened out, and the supply schemes corresponding to the scheme data pairs in the screening result are the supply schemes corresponding to one customer order.
In the process of acquiring the supply scheme corresponding to the customer order, the supply scheme generating module makes reference to two aspects of time corresponding to the supply scheme and total quantity of products to be produced when the quantity of the products in the customer order is met; when calculating the time corresponding to the supply scheme, directly calculating
In order to obtain the total time consumed by each link in the logistics supply chain,
corresponding to the production time of the product ordered by the customer,
correspondingly, the delivery time of the customer order products is calculated, the time consumed in the storage link is not calculated in the scheme, the fact that in the process, the products are stored in the storage while being produced is considered, when the products are produced, the time of the products in the storage department is overlapped with the time of the production department, and when the production department produces the products, the products in the storage department are directly delivered, therefore, the influence of the time in the storage link on the total time of the supply scheme is directly defaulted to be 0; when the total number Q1 of products required to be produced by the customer order is calculated, considering that the qualification rates of the products produced at different production rates are different, the loss rates of different types of products during storage are different, and the road damage degrees in different distribution routes and corresponding distribution routes are different from the loss rate of the products in the distribution process, the optimal supply scheme of the customer order is conveniently screened out in the subsequent process by comprehensively considering the points and quantitatively analyzing the points.
Further, the method for acquiring the optimal supply scheme of the customer order by the supply data adjusting module comprises the following steps:
s5.1, obtaining a supply scheme corresponding to each scheme data pair in the screening result of S4.6;
s5.2, obtaining the optimal supply scheme of the customer order,
the best supply plan for acquiring the customer order is the supply plan with the smallest Q1 among the supply plans acquired in S5.1.
A multi-user cooperative management method based on a logistics supply chain comprises the following steps:
s1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and the receiving place P2 through the order information acquisition module;
s2, monitoring production departments in the supply chain through a production information analysis module, and acquiring a relation curve between the production rate and the qualified rate of each product type in the production process;
s3, acquiring the natural damage rate of each product type in the storage process through a storage loss data monitoring module;
s4, in the logistics distribution information analysis module, according to the relation between the position of the storage department and the order receiving place, planning different distribution routes, and obtaining the road conditions in the different distribution routes to obtain the distribution time of the different distribution routes and the product loss rate in the distribution process;
s5, the supply scheme generating module acquires a supply scheme corresponding to the customer order by combining the information in the order information acquiring module, the production information analyzing module, the storage loss data monitoring module and the logistics distribution information analyzing module;
and S6, acquiring the supply scheme corresponding to the customer order obtained by the supply scheme generating module through the supply data adjusting module, and screening out the optimal supply scheme of the customer order.
Compared with the prior art, the invention has the following beneficial effects: in the process of multi-user cooperative management, each link in a logistics supply chain is used as a user needing cooperative management, analysis and management are carried out on customer order data through data relations corresponding to a plurality of users, a plurality of supply schemes meeting customer orders are screened out, each supply scheme is quantized, and then the optimal supply scheme of the customer orders is screened out, so that effective management of the logistics supply chain is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic structural diagram of a multi-user cooperative management system based on a logistics supply chain according to the present invention;
FIG. 2 is a schematic flow chart of a method for acquiring a relationship curve between a production rate and a yield of each product type in a production process by a production information analysis module in the multi-user cooperative management system based on a logistics supply chain according to the present invention;
fig. 3 is a schematic flowchart of a method for acquiring a supply plan corresponding to a customer order by a supply plan generation module in a multi-user cooperative management system based on a logistics supply chain according to the present invention;
fig. 4 is a flow chart diagram of a multi-user cooperative management method based on a logistics supply chain according to the present 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. 1-4, the present invention provides a technical solution: a multi-user cooperative management system based on a logistics supply chain comprises:
an order information acquisition module which acquires the product type number, the order quantity DL, the order specified time DT and the receiving place P2 of the customer order;
the production information analysis module monitors production departments in a supply chain and acquires a relation curve of the production rate and the qualified rate of each product type in the production process;
the storage loss data monitoring module acquires the natural damage rate of each product type in the storage process;
the logistics distribution information analysis module plans different distribution routes according to the relationship between the position of the storage department and the order receiving place, acquires road conditions in the different distribution routes, and obtains distribution time of the different distribution routes and product loss rate in the distribution process;
the supply scheme generation module is used for acquiring a supply scheme corresponding to a customer order by combining information in the order information acquisition module, the production information analysis module, the storage loss data monitoring module and the logistics distribution information analysis module;
and the supply data adjusting module acquires the supply scheme corresponding to the customer order obtained by the supply scheme generating module and screens out the optimal supply scheme of the customer order.
The method for acquiring the relation curve between the production rate and the qualified rate of each product type in the production process by the production information analysis module comprises the following steps:
s1.1, obtaining historical data corresponding to production departments in a supply chain, numbering product types, and collecting the i1 th data set A in the i product type in the historical datai-i1The above-mentioned
wherein ,
the total production number corresponding to the order to which the ith 1 data set belongs in the ith product type in the historical data is shown,
S1.2, summarizing data sets with equal values corresponding to third elements in the data sets corresponding to the ith product type in the historical data into a blank set to obtain a data set summarizing set corresponding to each production rate in the ith product type in the historical data,
recording the jth data set in the ith product category in the historical data as a summary set Bi-j，
Recording the 2 nd element in the data set corresponding to the jth 1 th element in the jth data set summary set in the ith product category in the historical data as
Recording the 4 th element in the data set corresponding to the jth 1 th element in the jth data set summary set in the ith product category in the historical data as
Recording the production rate corresponding to the jth data set collection in the ith product category in the historical data as B3i-j；
S1.3, constructing a plane rectangular coordinate system by taking o as an origin, taking the production rate as an x axis and taking the qualified rate as a y axis;
s1.4, obtaining a coordinate fitting point corresponding to the jth data set collection in the ith product category in the historical data (B3)i-j，Ci-j) Said C isi-jRepresenting the product percent of pass corresponding to the jth data set summary set in the ith product category in the historical data;
s1.5, marking coordinate fitting points corresponding to each data set collection set in the ith product type in the historical data acquired in the S1.4 in a plane rectangular coordinate system, and performing linear fitting on the marked coordinate fitting points through a linear fitting model prefabricated in a database to obtain a relation curve of the production rate and the qualification rate of the ith product type in the historical data in the production process, and marking the relation curve as Fi (x);
and S1.6, obtaining a relation curve of the production rate and the qualified rate of each product type in the historical data in the production process.
The method for obtaining the product percent of pass corresponding to the jth data set summary set in the ith product category in the historical data comprises the following steps:
s1.4.1, acquiring a jth data set summary set in the ith product category in the historical data;
s1.4.2, calculating the 4 th element in the data set corresponding to the jth 1 element in the jth data set summary set in the ith product category in the historical data
Element 2 within the data set corresponding to element j1
Get the qualification rate corresponding to the jth 1 element in the jth data set summary set in the ith product category in the historical data
S1.4.3, obtaining the product percent of pass C corresponding to the jth data set collection in the ith product category in the historical datai-j，
The above-mentioned
Wherein nij represents the number of elements in the j-th data set aggregate in the ith product category in the historical data.
In this embodiment, if the 002 th data set in the product category numbered 01 in the historical data is collected as { {01, 2000, 50, 1960}, {01,1500,50, 1440} },
then the 1 st element in the 002 st data set in the 01 th product category in the historical data is collectedThe yield corresponding to the element is
In the 002 th data set in the 01 th product category in the historical data, the corresponding qualification rate of the 2 nd element is
The product qualification rate corresponding to the 002 th data set collection in the 01 th product category in the historical data is
The warehousing wear-out data monitoring module acquires the natural damage rate of each product type in the storage process by acquiring the ratio of the number of damaged products stored in each batch in each type of product to the number of stored products in the corresponding batch in the process of storing each product type in the historical data in the warehousing department, the average value of the corresponding ratios of each batch in the same type of product is the natural damage rate of the corresponding product type in the storage process,
the natural damage rate of the ith product category during storage is recorded as CSi.
The method for acquiring the road conditions in different distribution routes by the logistics distribution information analysis module comprises the following steps of:
s2.1, acquiring a position P1 of a warehousing department and an order receiving place P2;
s2.2, acquiring corresponding different distribution routes from P1 to P2 in the map, and acquiring lengths corresponding to different types of roads in each distribution route;
s2.3, obtaining the corresponding road surface damage degree of each type of road in different distribution routes;
s2.4, combining the length corresponding to each type of road in each distribution route and the corresponding road surface damage degree into a data pair, wherein the first number of the data pair represents the length, the second number of the data pair represents the damage degree of the road surface,
adding data pairs corresponding to different types of roads in the same distribution route into the same blank set to obtain a distribution route road condition set;
the method for acquiring the road surface damage degree corresponding to each type of road in different distribution routes in the S2.3 comprises the following steps:
s2.3.1, the length corresponding to the k1 type road in the k-th distribution route is recorded as
S2.3.2, will
Dividing the road into sections with the length of the first unit length, acquiring the number of single damaged areas which appear on the road surface in each section and are more than or equal to the first unit area,
recording the number of the broken areas of the single place which appear in the k2 section of the k1 type roads in the k delivery route and are more than or equal to the first unit area as the first unit area
Retrieval by database query
Road surface damage factor of the corresponding section is recorded as
S2.3.3, obtaining the road surface damage coefficients of each section in the k1 type road in the k-th distribution route, calculating the average value of the obtained road surface damage coefficients of each section, and obtaining the damage degree corresponding to the k1 type road in the k-th distribution route
Wherein Nkk1 denotes the k1 th type road pair in the k-th distribution routeThe number of the corresponding sections.
The method for obtaining the distribution time of different distribution routes and the product loss rate in the distribution process by the logistics distribution information analysis module comprises the following steps:
s3.1, acquiring the road condition sets of the distribution routes obtained in the S2.4;
s3.2, obtaining an influence value Gi (m) of average first unit length on the product loss rate of the ith type in a road with the damage degree of m in historical data, wherein the first unit length is marked as L0;
s3.3, obtaining the product loss rate of the ith kind of product in the distribution process when the ith kind of product passes through the kth distribution route
The described
Wherein Mk represents the number of types of roads for the ith type of product to pass through the kth distribution route;
in this embodiment, if the road types of the distribution routes include three types, and when the product with the product type number of 02 passes through the 1 st distribution route, the corresponding distribution route road condition sets are { [36, 0.11], [0, 0], [42, 0.15] },
wherein [36, 0.11] indicates that the length of the type 1 road-corresponding data pair is 36, the degree of damage of the road surface is 0.11,
[0, 0] indicates that the length in the type 2 road-corresponding data pair is 0 and the degree of damage of the road surface is 0,
[42, 0.15] indicates that the length in the type 3 road-corresponding data pair is 42 and the degree of damage of the road surface is 0.15;
if the first unit length is 1.5, G2(x) is 0.1 × x2-0.001，
The product loss rate during the dispensing process when the 02 th product type passes through the 1 st dispensing route
S3.4, obtaining the distribution time of the ith kind of products passing through the kth distribution route
The above-mentioned
wherein ,
the speed of the vehicle when delivering the ith type of product through the k1 th road in the k delivery route without being affected by the degree of road damage,
obtained by database query.
The method for acquiring the supply scheme corresponding to the customer order by the supply scheme generation module comprises the following steps:
s4.1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and a receiving place P2;
s4.2, a relation curve Fi (x) of the production rate and the qualification rate of the ith product type in the historical data in the production process;
s4.3, acquiring the natural damage rate of the ith product type in the storage process and recording the natural damage rate as CSi;
s4.4, obtaining the product loss rate of the ith kind of product in the distribution process when the ith kind of product passes through the kth distribution route
Obtaining a delivery time for the ith type of product through the kth delivery route
S4.5, calculating the total number Q1 of the products required to be produced for completing the customer order, calculating the total time length T occupied by the scheme corresponding to Q1,
the above-mentioned
Wherein i0 represents the number of the product category of the customer order, k3 represents the distribution route corresponding to P1 to P2 in the supply plan corresponding to Q1, x0 represents the production rate of the product in the supply plan corresponding to Q1, Fi0(x0) represents the qualification rate in the production process of the product in the supply plan corresponding to Q1,
the above-mentioned
S4.6, Q1 and T corresponding to different supply schemes are obtained, Q1 and T corresponding to the same supply scheme form a scheme data pair, the scheme data pair with T being larger than or equal to DT is screened out, and the supply schemes corresponding to the scheme data pairs in the screening result are the supply schemes corresponding to one customer order.
The method for acquiring the optimal supply scheme of the customer order by the supply data adjusting module comprises the following steps:
s5.1, obtaining a supply scheme corresponding to each scheme data pair in the screening result of S4.6;
s5.2, obtaining the optimal supply scheme of the customer order,
the best supply plan for obtaining the customer order is the supply plan with the smallest Q1 in the supply plans obtained in S5.1.
A multi-user cooperative management method based on a logistics supply chain comprises the following steps:
s1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and the receiving place P2 through the order information acquisition module;
s2, monitoring production departments in the supply chain through a production information analysis module, and acquiring a relation curve between the production rate and the qualified rate of each product type in the production process;
s3, acquiring the natural damage rate of each product type in the storage process through a storage loss data monitoring module;
s4, in the logistics distribution information analysis module, according to the relation between the position of the storage department and the order receiving place, planning different distribution routes, and obtaining the road conditions in the different distribution routes to obtain the distribution time of the different distribution routes and the product loss rate in the distribution process;
s5, the supply scheme generating module acquires a supply scheme corresponding to the customer order by combining the information in the order information acquiring module, the production information analyzing module, the storage loss data monitoring module and the logistics distribution information analyzing module;
and S6, acquiring the supply scheme corresponding to the customer order obtained by the supply scheme generating module through the supply data adjusting module, and screening out the optimal supply scheme of the customer order.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A multi-user cooperative management system based on a logistics supply chain is characterized by comprising:
an order information acquisition module which acquires the product type number, the order quantity DL, the order specified time DT and the receiving place P2 of the customer order;
the production information analysis module monitors production departments in a supply chain and acquires a relation curve of the production rate and the qualified rate of each product type in the production process;
the storage loss data monitoring module acquires the natural damage rate of each product type in the storage process;
the logistics distribution information analysis module plans different distribution routes according to the relationship between the position of the storage department and the order receiving place, acquires road conditions in the different distribution routes, and obtains distribution time of the different distribution routes and product loss rate in the distribution process;
the supply scheme generation module is used for acquiring a supply scheme corresponding to a customer order by combining information in the order information acquisition module, the production information analysis module, the storage loss data monitoring module and the logistics distribution information analysis module;
and the supply data adjusting module acquires the supply scheme corresponding to the customer order obtained by the supply scheme generating module and screens out the optimal supply scheme of the customer order.
2. The system of claim 1, wherein the system comprises: the method for acquiring the relation curve between the production rate and the qualified rate of each product type in the production process by the production information analysis module comprises the following steps:
s1.1, acquiring historical data corresponding to production departments in a supply chain, numbering product types, and collecting an i1 th data set A in an i th product type in the historical datai-i1Said
wherein ,
the total production number corresponding to the order to which the ith 1 data set belongs in the ith product type in the historical data is shown,
the i1 th data set A in the ith product variety class in the historical datai-i1The i2 th element in (b) is marked as
S1.2, summarizing data sets with equal values corresponding to third elements in the data sets corresponding to the ith product type in the historical data into a blank set to obtain a data set summarizing set corresponding to each production rate in the ith product type in the historical data,
recording the jth data set in the ith product category in the historical data as a summary set Bi-j，
Recording the 2 nd element in the data set corresponding to the jth 1 th element in the jth data set summary set in the ith product category in the historical data as
Will be in history dataIn the jth data set summary set in the ith product category, the 4 th element in the data set corresponding to the jth 1 element is marked as
Recording the production rate corresponding to the jth data set collection in the ith product category in the historical data as B3i-j；
S1.3, constructing a plane rectangular coordinate system by taking o as an origin, taking the production rate as an x axis and taking the qualified rate as a y axis;
s1.4, obtaining a coordinate fitting point corresponding to the jth data set collection in the ith product category in the historical data (B3)i-j，Ci-j) Said C isi-jRepresenting the product percent of pass corresponding to the jth data set summary set in the ith product category in the historical data;
s1.5, marking coordinate fitting points corresponding to each data set collection set in the ith product type in the historical data acquired in the S1.4 in a plane rectangular coordinate system, and performing linear fitting on the marked coordinate fitting points through a linear fitting model prefabricated in a database to obtain a relation curve of the production rate and the qualification rate of the ith product type in the historical data in the production process, and marking the relation curve as Fi (x);
and S1.6, obtaining a relation curve of the production rate and the qualified rate of each product type in the historical data in the production process.
3. The system of claim 2, wherein the system comprises: the method for obtaining the product percent of pass corresponding to the jth data set summary set in the ith product category in the historical data comprises the following steps:
s1.4.1, acquiring a jth data set summary set in the ith product category in the historical data;
s1.4.2, calculating the 4 th element in the data set corresponding to the jth 1 element in the jth data set summary set in the ith product category in the historical data
Element 2 within the data set corresponding to element j1
Get the qualification rate corresponding to the jth 1 element in the jth data set summary set in the ith product category in the historical data
S1.4.3, obtaining the product percent of pass C corresponding to the jth data set collection in the ith product category in the historical datai-j，
The above-mentioned
Wherein nij represents the number of elements in the j-th data set aggregate in the ith product category in the historical data.
4. The system of claim 3, wherein the system comprises: the warehousing wear-out data monitoring module acquires the natural damage rate of each product type in the storage process by acquiring the ratio of the number of damaged products stored in each batch in each type of product to the number of stored products in the corresponding batch in the process of storing each product type in the historical data in the warehousing department, the average value of the corresponding ratios of each batch in the same type of product is the natural damage rate of the corresponding product type in the storage process,
the natural damage rate of the ith product category during storage is recorded as CSi.
5. The system according to claim 4, wherein the system comprises: the method for acquiring the road conditions in different distribution routes by the logistics distribution information analysis module comprises the following steps:
s2.1, acquiring a position P1 of a warehousing department and an order receiving place P2;
s2.2, acquiring corresponding different distribution routes from P1 to P2 in the map, and acquiring lengths corresponding to different types of roads in each distribution route;
s2.3, obtaining the corresponding road surface damage degree of each type of road in different distribution routes;
s2.4, combining the length corresponding to each type of road in each distribution route and the corresponding road surface damage degree into a data pair, wherein the first number of the data pair represents the length, the second number of the data pair represents the damage degree of the road surface,
adding data pairs corresponding to different types of roads in the same distribution route into the same blank set to obtain a distribution route road condition set;
the method for acquiring the road surface damage degree corresponding to each type of road in different distribution routes in the S2.3 comprises the following steps:
s2.3.1, the length corresponding to the k1 type road in the k-th distribution route is recorded as
S2.3.2, will
Dividing the road into sections with the length of the first unit length, acquiring the number of single damaged areas which are larger than or equal to the first unit area on the road surface in each section,
the number of the single damaged areas of the road surface in the k2 th section of the k1 th type of road in the k-th distribution route, which are larger than or equal to the first unit area, is recorded as
Retrieval by database query
Road surface damage factor of the corresponding section is recorded as
S2.3.3, obtaining the road surface damage coefficients of each section in the k1 type road in the k-th distribution route, calculating the average value of the obtained road surface damage coefficients of each section, and obtaining the damage degree corresponding to the k1 type road in the k-th distribution route
Here, Nkk1 indicates the number of sections corresponding to the k 1-th type of road in the k-th distribution route.
6. The system of claim 5, wherein the system comprises: the method for obtaining the distribution time of different distribution routes and the product loss rate in the distribution process by the logistics distribution information analysis module comprises the following steps:
s3.1, acquiring the road condition sets of the distribution routes obtained in the S2.4;
s3.2, acquiring an influence value Gi (m) of average first unit length on the product loss rate of the ith type in a road with the damage degree of m in historical data, wherein the first unit length is marked as L0;
s3.3, obtaining the product loss rate of the ith type of product in the distribution process when the ith type of product passes through the kth distribution route
The above-mentioned
Wherein Mk represents the number of types of roads for the ith type of product to pass through the kth distribution route;
s3.4, obtaining the distribution time of the ith kind of products passing through the kth distribution route
The above-mentioned
wherein ,
the speed of the vehicle when delivering the ith type of product through the k1 th road in the k delivery route without being affected by the degree of road damage,
and obtaining through database query.
7. The system of claim 6, wherein the system comprises: the method for acquiring the supply scheme corresponding to the customer order by the supply scheme generation module comprises the following steps:
s4.1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and the receiving place P2;
s4.2, a relation curve Fi (x) of the production rate and the qualification rate of the ith product type in the historical data in the production process;
s4.3, acquiring the natural damage rate of the ith product type in the storage process and recording the natural damage rate as CSi;
s4.4, obtaining the product loss rate of the ith kind of product in the distribution process when the ith kind of product passes through the kth distribution route
Obtaining a delivery time for the ith type of product through the kth delivery route
S4.5, calculating the total number Q1 of the products required to be produced for completing the customer order, calculating the total time length T occupied by the scheme corresponding to Q1,
the described
Wherein i0 represents the number of the product type of the customer order, k3 represents the distribution route corresponding to P1 to P2 in the supply plan corresponding to Q1, x0 represents the production rate of the product in the supply plan corresponding to Q1, Fi0(x0) represents the yield rate in the production process of the product in the supply plan corresponding to Q1,
the above-mentioned
S4.6, Q1 and T corresponding to different supply schemes are obtained, Q1 and T corresponding to the same supply scheme form a scheme data pair, the scheme data pair with T being larger than or equal to DT is screened out, and the supply schemes corresponding to the scheme data pairs in the screening result are the supply schemes corresponding to one customer order.
8. The system according to claim 7, wherein the system comprises: the method for acquiring the optimal supply scheme of the customer order by the supply data adjusting module comprises the following steps:
s5.1, obtaining a supply scheme corresponding to each scheme data pair in the screening result of S4.6;
s5.2, obtaining the optimal supply scheme of the customer order,
the best supply plan for obtaining the customer order is the supply plan with the smallest Q1 in the supply plans obtained in S5.1.
9. The multi-user collaborative management method based on the logistics supply chain of the multi-user collaborative management system based on the logistics supply chain, which is applied to any one of claims 1 to 8, is characterized in that: the method comprises the following steps:
s1, acquiring the serial number of the product type of the customer order, the order quantity DL, the order specified time DT and the receiving place P2 through the order information acquisition module;
s2, monitoring production departments in the supply chain through a production information analysis module, and acquiring a relation curve between the production rate and the qualified rate of each product type in the production process;
s3, acquiring the natural damage rate of each product type in the storage process through a storage loss data monitoring module;
s4, in the logistics distribution information analysis module, according to the relation between the position of the storage department and the order receiving place, planning different distribution routes, and obtaining the road conditions in the different distribution routes to obtain the distribution time of the different distribution routes and the product loss rate in the distribution process;
s5, the supply scheme generating module acquires a supply scheme corresponding to the customer order by combining the information in the order information acquiring module, the production information analyzing module, the storage loss data monitoring module and the logistics distribution information analyzing module;
and S6, acquiring the supply scheme corresponding to the customer order obtained by the supply scheme generating module through the supply data adjusting module, and screening out the optimal supply scheme of the customer order.
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