CN114742474A - Order management system and method for leather products - Google Patents
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Abstract
The invention discloses an order management system and method of leather products, which relate to the technical field of order management and comprise an order configuration module, an order fulfillment prediction module, a production traceability module and a risk assessment module, wherein the order configuration module comprises: the order configuration module acquires production orders received within a preset historical time period and determines the production sequence of each production order according to preset information; the order fulfillment prediction module predicts the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusts the production sequence of each production order in real time according to the predicted completion time; and the risk evaluation module is used for evaluating the risk of the production orders so as to determine the transportation sequence of the products corresponding to the production orders. The system can regulate and control the supply and distribution conditions of each production order, control the actual delivery time of the order and ensure that each production order is delivered as scheduled.
Description
Technical Field
The invention relates to the technical field of order management, in particular to an order management system and method for leather products.
Background
In today's competitive market, many manufacturing companies are transitioning from the traditional heterogeneous production of single brand products to multi-customer, multi-business manufacturing. Thus, order management in a manufacturing system is an indispensable part, and delivery time and supply distribution of individual orders can be controlled.
The manufacturing and delivery processes of leather products are complex, and the factors influencing the order priority are more, so that the order management of customers is difficult. In the prior art, the order of processing the order is determined only by the order placing time and the customer priority of the order during the manufacturing of the customer order, and the influence of other factors on the order priority is not considered, so that the supply distribution is unbalanced, and the actual delivery time of the order is too early or exceeds the period.
Disclosure of Invention
The present invention is directed to solve the problems of the background art, and provides a system and a method for order management of leather products.
The purpose of the invention can be realized by the following technical scheme:
an embodiment of the present invention provides, in a first aspect, an order management system for leather products, including an order configuration module, an order fulfillment prediction module, and a risk assessment module, where:
the order configuration module is used for acquiring production orders received within a preset historical time period and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order expiration time, transportation distance and customer priority;
the order fulfillment prediction module is used for predicting the completion time of each production order according to the production sequence and the production process flow of each production order and adjusting the production sequence of each production order in real time according to the predicted completion time;
and the risk evaluation module is used for evaluating the risk of the production orders so as to determine the transportation sequence of the products corresponding to the production orders.
The embodiment of the invention also provides a leather product order management method in the second aspect, which comprises the following steps:
the method comprises the steps of obtaining production orders received within a preset historical time period, and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order expiration time, transportation distance and customer priority;
predicting the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time;
and evaluating the risks of the production orders to determine the transportation sequence of the products corresponding to each production order.
Optionally, after predicting the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time, the method further includes:
when a target product corresponding to each production order is produced, obtaining a production process flow of the target product;
sequentially acquiring each production step of the target product and raw material traceability information corresponding to the production step according to the production process flow;
and calling a code sending interface of an industrial Internet identification analysis platform, and storing each production step of the target product, raw material tracing information corresponding to the production step and a corresponding production order to the industrial Internet identification analysis platform to obtain an industrial Internet identification of the target product, wherein the industrial Internet identification is used as a target product code.
Optionally, the obtaining of the production orders received within the preset historical time period, and determining the production sequence of each production order according to the information of each production order, includes:
the method comprises the steps of obtaining production orders received within a preset historical time period, and extracting preset information in each production order;
aiming at each production order, normalizing preset information according to the type of the preset information to obtain a characteristic vector of the production order, and calculating a weighting matrix of the production order according to the characteristic vector and a preset weight matrix;
calculating the relative proximity of the weighting matrix by using a TOPSIS method aiming at the weighting matrix of each production order;
the production order of each production order is determined based on the relative proximity of each production order.
Optionally, predicting completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time, including:
decomposing the production process flow of each production order to obtain a plurality of processing substeps;
calculating the processing time length of each processing substep and the waiting time length between each processing substep of the production order according to the historical order processing time data, and summing the processing time length and the waiting time length to obtain the production time length of the production order;
calculating the completion time of each production order according to the production sequence and the production duration of each production order;
calculating the difference value between the order expiration time and the completion time of each production order, and judging whether the production order has an overdue risk; if the production order has an overdue risk, the production sequence of the production order is advanced; until all production orders are free of overdue risk.
Optionally, the evaluating the risk of the production order to determine the transportation sequence of the product corresponding to each production order includes:
aiming at each production order, calculating an influence factor and a risk factor of the production order; the influence factor is used for representing the importance degree of the corresponding client of the production order; the risk factor is used for representing the risk degree of the target product of the production order during transportation;
establishing an XY chart of each production order by taking the influence factor as an X axis and taking the risk factor as a Y axis;
and determining the transportation sequence of the products corresponding to each production order according to the distance from the coordinates of each production order to the origin of coordinates in the XY diagram.
Optionally, for each production order, calculating an impact factor and a risk factor of the production order;
for each production order, calculating an impact factor of the production order:
wherein R is the turnover of the production order, Y is the urgency of the production order deadline, S is the priority of the customer corresponding to the production order, and ω is1、ω2And omega3Weighting coefficients R, Y and S, respectively;
for each production order, calculating a risk factor for the production order:
I＝D+E-D×E
d is the determined output delay probability of each production order according to the destination address of the production order;
wherein C is the capacity of the freight site, alpha is the efficiency of the freight site, and O is the grade corresponding to the production sequence of the production order.
The order management system for leather products provided by the embodiment of the invention comprises an order configuration module, an order fulfillment prediction module, a production traceability module and a risk evaluation module, wherein: the order configuration module is used for acquiring production orders received within a preset historical time period and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order expiration time, transportation distance and customer priority; the order fulfillment prediction module is used for predicting the completion time of each production order according to the production sequence and the production process flow of each production order and adjusting the production sequence of each production order in real time according to the predicted completion time; and the risk evaluation module is used for evaluating the risk of the production orders so as to determine the transportation sequence of the products corresponding to the production orders. Determining the production sequence of each production order according to various influence factors, predicting the completion time of each production order, adjusting the production sequence in real time, and determining the transportation sequence of products corresponding to each production order according to the risk of the production order. And regulating the supply distribution condition of each production order, and controlling the actual delivery time of the order to ensure that each production order is delivered as scheduled.
Drawings
The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a flowchart of an order management method for leather products according to an embodiment of the present invention;
FIG. 2 is a flow chart of another method for order management of leather products according to an embodiment of the present invention;
fig. 3 is a flowchart of another order management method for leather products according to an embodiment of 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.
The embodiment of the invention provides an order management system for leather products. The system comprises an order configuration module, an order fulfillment prediction module and a risk assessment module, wherein:
the order configuration module is used for acquiring production orders received within a preset historical time period and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order expiration time, transportation distance and customer priority;
the order fulfillment prediction module is used for predicting the completion time of each production order according to the production sequence and the production process flow of each production order and adjusting the production sequence of each production order in real time according to the predicted completion time;
and the risk evaluation module is used for evaluating the risk of the production orders so as to determine the transportation sequence of the products corresponding to the production orders.
According to the order management system for the leather products, provided by the embodiment of the invention, the production sequence of each production order is determined through multiple influence factors, the completion time of each production order is predicted, the production sequence is adjusted in real time, and the transportation sequence of the products corresponding to each production order is determined according to the risk of the production order. And regulating the supply distribution condition of each production order, and controlling the actual delivery time of the order to ensure that each production order is delivered as scheduled.
The embodiment of the invention provides an order management method for leather products. Referring to fig. 1, fig. 1 is a flowchart of an order management method for leather products according to an embodiment of the present invention. The method may comprise the steps of:
s101, obtaining the production orders received in a preset historical time period, and determining the production sequence of each production order according to preset information of each production order.
S102, predicting the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time.
S103, evaluating the risks of the production orders to determine the transportation sequence of the products corresponding to each production order.
The preset information categories include order complexity, order due time, shipping distance, and customer priority.
According to the order management method for the leather products, provided by the embodiment of the invention, the production sequence of each production order is determined through multiple influence factors, the completion time of each production order is predicted, the production sequence is adjusted in real time, and the transportation sequence of the products corresponding to each production order is determined according to the risk of the production order. And regulating and controlling the supply and distribution conditions of each production order, and controlling the actual delivery time of the order to ensure that each production order is delivered as expected.
In one embodiment, referring to fig. 2, step S102 is followed on the basis of fig. 1 by:
and S104, acquiring the production process flow of the target product when the target product corresponding to each production order is produced.
And S105, sequentially acquiring each production step of the target product and the corresponding raw material traceability information according to the production process flow.
And S106, calling a code sending interface of the industrial Internet identification analysis platform, and storing each production step of the target product, the corresponding raw material traceability information and the corresponding production order to the industrial Internet identification analysis platform to obtain the industrial Internet identification of the target product as the target product code.
In one implementation mode, a raw material supplier can call a code sending interface of an industrial internet identification analysis platform, can save information such as types and producing areas of raw materials in the industrial internet identification analysis platform as raw material traceability information, and obtains raw material product codes of the raw materials. By analyzing the raw material product codes of the raw materials used in each production step of the target product, the raw material traceability information of each raw material can be obtained.
By calling the code sending interface of the industrial internet identification analysis platform, production process parameters, production orders, raw material source tracing information and the like of the target product can be saved in the industrial internet identification analysis platform, and a unique industrial internet identification is applied for the target product. The user can analyze the industrial internet identification through the industrial internet identification analyzing platform and access the display webpage of the target product. For example, when a user initiates an access request to an official website through a unique identification code link character string, an official website server can obtain an industrial internet identification in the unique identification code link character string and send an analysis request for the industrial internet identification to an industrial internet identification analysis platform, the industrial internet identification analysis platform can return production process parameters, production orders, raw material traceability information and the like of a target product to the official website server, and the official website server can display the production process parameters, the production orders, the raw material traceability information and the like of the target product on a display page of the target product in the official website.
In one embodiment, step S101 includes:
the method comprises the steps of firstly, obtaining production orders received within a preset historical time period, and extracting preset information in each production order.
And secondly, aiming at each production order, carrying out normalization processing on preset information according to the type of the preset information to obtain a characteristic vector of the production order, and calculating a weighting matrix of the production order according to the characteristic vector and a preset weight matrix.
And step three, calculating the relative closeness of the weighting matrix by using a TOPSIS method aiming at the weighting matrix of each production order.
And step four, determining the production sequence of each production order according to the relative proximity of each production order.
In one implementation, the preset information of each order is normalized by a min-max method for each type of preset information. The order complexity can be calculated according to the number of the process steps of the product corresponding to the order and the average processing time of each step, and the longer the obtained processing time indicates that the higher the order complexity is, the closer the value corresponding to the order complexity of the order is to 1. According to the difference between the order expiration time and the current time, the urgency of the order can be indicated, and the smaller the difference is, the closer the value corresponding to the order expiration time is to 1. The farther the transport distance of the order is, the closer the transport distance of the order corresponds to a value of 1. The higher the customer priority of an order, the closer to 1 the value corresponding to the customer priority of the order.
In one embodiment, step S102 includes:
step one, aiming at each production order, decomposing the production process flow of the production order to obtain a plurality of processing substeps.
And step two, calculating the processing time length of each processing substep of the production order and the waiting time length between the processing substeps according to the historical order processing time data, and summing the processing time length and the waiting time length to obtain the production time length of the production order.
And step three, calculating the completion time of each production order according to the production sequence and the production duration of each production order.
And step four, calculating the difference value between the order expiration time and the completion time of each production order, judging whether the production order has the overdue risk, and if the production order has the overdue risk, advancing the production sequence of the production order until all the production orders have no overdue risk.
In one implementation, if a difference between an order due time and a completion time of the production order is less than a preset threshold, it may be determined that the production order has an overdue risk.
In one embodiment, referring to fig. 3, step S103 on the basis of fig. 1 comprises:
s1031, aiming at each production order, calculating an influence factor and a risk factor of the production order;
s1032, the influence factors are used as the X axis, and the risk factors are used as the Y axis to establish the XY chart of each production order.
And S1033, determining the transportation sequence of the products corresponding to each production order according to the distance from the coordinates of each production order to the origin of coordinates in the XY diagram.
The influence factor is used for representing the importance degree of the production order corresponding to the client, and the risk factor is used for representing the risk degree of the target product of the production order during transportation.
In one implementation, the farther the distance from the coordinate of each production order to the origin of coordinates in the XY diagram indicates that the risk of the production order is greater, the transportation sequence of the products corresponding to each production order may be determined according to the order of the distances from large to small. Production order overrun due to shipping reasons can be reduced.
In one embodiment, step S1031 may include the steps of:
step one, aiming at each production order, calculating an influence factor of the production order:
wherein R is the turnover of the production order, Y is the urgency of the production order deadline, S is the priority of the customer corresponding to the production order, and ω is1、ω2And ω3Weighting coefficients R, Y and S, respectively;
step two, aiming at each production order, calculating the risk factor of the production order:
I＝D+E-D×E
d is the output delay probability of each production order determined by the destination address of the production order;
wherein C is the capacity of the freight site, alpha is the efficiency of the freight site, and O is the grade corresponding to the production sequence of the production order.
In one implementation, ω1+ω2+ω3By calculating a weighted sum of the turnover, the urgency of deadline, and the priority of the customer that the production order was generated, the importance of the production order to the customer can be measured.
In one implementation, the production orders may be grouped according to the production order, and different grades are assigned to each group in sequence, each group includes a preset number of production orders, and the grades corresponding to the same group are the same.
Although one embodiment of the present invention has been described in detail, the description is only for the purpose of illustrating the preferred embodiments of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (7)
1. An order management system for leather products, comprising an order configuration module, an order fulfillment prediction module, and a risk assessment module, wherein:
the order configuration module is used for acquiring production orders received within a preset historical time period and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order due time, transport distance and customer priority;
the order fulfillment prediction module is used for predicting the completion time of each production order according to the production sequence and the production process flow of each production order and adjusting the production sequence of each production order in real time according to the predicted completion time;
and the risk evaluation module is used for evaluating the risk of the production orders so as to determine the transportation sequence of the products corresponding to the production orders.
2. A method of order management for leather products, the method comprising:
the method comprises the steps of obtaining production orders received within a preset historical time period, and determining the production sequence of each production order according to preset information of each production order; the preset information category comprises order complexity, order expiration time, transportation distance and customer priority;
predicting the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time;
the risk of the production orders is evaluated to determine a shipping order for the products corresponding to each production order.
3. The order management method for leather products according to claim 2, wherein after predicting the completion time of each production order according to the production sequence and the production process flow of each production order, and adjusting the production sequence of each production order in real time according to the predicted completion time, the method further comprises:
when a target product corresponding to each production order is produced, obtaining a production process flow of the target product;
sequentially acquiring each production step of the target product and raw material traceability information corresponding to the production step according to the production process flow;
and calling a code sending interface of an industrial internet identification analysis platform, and storing each production step of the target product, raw material traceability information corresponding to the production step and a corresponding production order to the industrial internet identification analysis platform to obtain an industrial internet identification of the target product, wherein the industrial internet identification is used as a target product code.
4. The order management method for leather products according to claim 2, wherein the step of obtaining the production orders received within the preset historical time period and determining the production sequence of each production order according to the information of each production order comprises:
the method comprises the steps of obtaining production orders received within a preset historical time period, and extracting preset information in each production order;
aiming at each production order, normalizing preset information according to the type of the preset information to obtain a characteristic vector of the production order, and calculating a weighting matrix of the production order according to the characteristic vector and a preset weight matrix;
calculating the relative proximity of the weighting matrix by using a TOPSIS method aiming at the weighting matrix of each production order;
and determining the production sequence of each production order according to the relative proximity of each production order.
5. The order management method for leather products according to claim 2, wherein the step of predicting the completion time of each production order according to the production sequence and the production process flow of each production order and adjusting the production sequence of each production order in real time according to the predicted completion time comprises the steps of:
decomposing the production process flow of each production order to obtain a plurality of processing substeps;
calculating the processing time length of each processing substep and the waiting time length between each processing substep of the production order according to the historical order processing time data, and summing the processing time length and the waiting time length to obtain the production time length of the production order;
calculating the completion time of each production order according to the production sequence and the production duration of each production order;
calculating the difference value between the order expiration time and the completion time of each production order, and judging whether the production order has an overdue risk; if the production order has an overdue risk, the production sequence of the production order is advanced; until all production orders are free of out-of-date risks.
6. The order management method for leather products according to claim 2, wherein the step of evaluating the risk of the production orders to determine the transportation sequence of the products corresponding to each production order comprises:
aiming at each production order, calculating an influence factor and a risk factor of the production order; the influence factor is used for representing the importance degree of the corresponding client of the production order; the risk factor is used for representing the risk degree of the target product of the production order during transportation;
establishing an XY chart of each production order by taking the influence factor as an X axis and taking the risk factor as a Y axis;
and determining the transportation sequence of the products corresponding to each production order according to the distance from the coordinates of each production order to the origin of coordinates in the XY diagram.
7. The order management method for leather products according to claim 6, wherein for each production order, the impact factor and risk factor of the production order are calculated;
for each production order, calculating an impact factor of the production order:
wherein R is the turnover of the production order, Y is the urgency of the production order deadline, S is the priority of the customer corresponding to the production order, and ω is1、ω2And ω3R, Y and S, respectively;
for each production order, calculating a risk factor for that production order:
I＝D+E-D×E
d is the determined output delay probability of each production order according to the destination address of the production order;
wherein C is the capacity of the freight site, alpha is the efficiency of the freight site, and O is the grade corresponding to the production sequence of the production order.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130030955A1 (en) * | 2011-07-26 | 2013-01-31 | Napper David | Scheduling of order processing for remotely ordered goods |
| CN108985527A (en) * | 2018-08-28 | 2018-12-11 | 武汉易普优科技有限公司 | A kind of order delivery date appraisal procedure based on Dynamic Productivity Calculation |
| CN109345161A (en) * | 2018-08-29 | 2019-02-15 | 广西大学 | A kind of delivery assignment method towards monetary value flow |
| CN112116499A (en) * | 2020-08-22 | 2020-12-22 | 张梦静 | Intelligent management system for catering kitchen orders and ordering method thereof |
| CN113298450A (en) * | 2021-07-27 | 2021-08-24 | 深圳润符新材料科技有限公司 | Coating processing production line supervision feedback system based on internet |
| CN114493634A (en) * | 2022-01-25 | 2022-05-13 | 山东浪潮工业互联网产业股份有限公司 | Method, device and medium for generating product traceability information based on identification analysis |
-
2022
- 2022-05-17 CN CN202210556411.3A patent/CN114742474A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130030955A1 (en) * | 2011-07-26 | 2013-01-31 | Napper David | Scheduling of order processing for remotely ordered goods |
| CN108985527A (en) * | 2018-08-28 | 2018-12-11 | 武汉易普优科技有限公司 | A kind of order delivery date appraisal procedure based on Dynamic Productivity Calculation |
| CN109345161A (en) * | 2018-08-29 | 2019-02-15 | 广西大学 | A kind of delivery assignment method towards monetary value flow |
| CN112116499A (en) * | 2020-08-22 | 2020-12-22 | 张梦静 | Intelligent management system for catering kitchen orders and ordering method thereof |
| CN113298450A (en) * | 2021-07-27 | 2021-08-24 | 深圳润符新材料科技有限公司 | Coating processing production line supervision feedback system based on internet |
| CN114493634A (en) * | 2022-01-25 | 2022-05-13 | 山东浪潮工业互联网产业股份有限公司 | Method, device and medium for generating product traceability information based on identification analysis |
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