CN115829682A - System and method for determining coping schemes according to risks of orders - Google Patents
System and method for determining coping schemes according to risks of orders Download PDFInfo
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- CN115829682A CN115829682A CN202211487502.2A CN202211487502A CN115829682A CN 115829682 A CN115829682 A CN 115829682A CN 202211487502 A CN202211487502 A CN 202211487502A CN 115829682 A CN115829682 A CN 115829682A
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- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000010485 coping Effects 0.000 title claims abstract description 24
- 238000001514 detection method Methods 0.000 claims abstract description 16
- 230000002159 abnormal effect Effects 0.000 claims abstract description 12
- 238000012384 transportation and delivery Methods 0.000 claims description 23
- 238000013439 planning Methods 0.000 claims description 22
- 230000005484 gravity Effects 0.000 claims description 17
- 238000003860 storage Methods 0.000 claims description 13
- 238000004519 manufacturing process Methods 0.000 claims description 11
- 238000002360 preparation method Methods 0.000 claims description 8
- 230000004044 response Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 5
- 238000012790 confirmation Methods 0.000 description 4
- 230000005856 abnormality Effects 0.000 description 3
- 238000007726 management method Methods 0.000 description 3
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Abstract
The invention provides a system and a method for determining a coping scheme according to the risk of an order. The method comprises the following steps: obtaining the state information of the target order by the processor according to the detection parameters; and when the processor judges that the state information is abnormal according to the risk parameters, determining a coping scheme of the target order by the processor according to the risk value of the target order. The system and the method for determining the coping scheme according to the risk of the order can improve the efficiency of order management.
Description
Technical Field
The present invention relates to software system technology, and is especially one system and method for determining coping schemes based on the risk of orders.
Background
For an order-producing manufacturer, the customer is very interested in the delivery date, and the manufacturer needs to deliver the goods several times within the agreed delivery date. If the manufacturer fails to deliver the order, the supply qualification ranking of the manufacturer list of the customer is decreased, and the order amount is reduced or even lost.
At present, when a customer asks for the progress of an order, a manufacturer needs to check a document/report in a manual mode, and in addition, the customer can be replied only by relying on the experience of personnel of the manufacturer and multiple confirmation of workshop supervisor, physical control, purchase and the like. This is inefficient.
Disclosure of Invention
The invention aims at a system and a method for determining a coping scheme according to the risk of an order, which can improve the efficiency of order management.
According to an embodiment of the present invention, a system for determining a coping plan according to risk of an order according to the present invention includes a storage device and a processor. The storage device stores the detection parameters and the risk parameters. The processor is coupled with the storage device, and the processor acquires the state information of the target order according to the detection parameters; and when the processor judges that the state information is abnormal according to the risk parameters, the processor decides the coping scheme of the target order according to the risk value of the target order.
According to an embodiment of the present invention, a method for deciding a coping plan according to a risk of an order of the present invention includes: obtaining the state information of the target order by the processor according to the detection parameters; and when the processor judges that the state information is abnormal according to the risk parameters, determining a coping scheme of the target order by the processor according to the risk value of the target order.
Based on the above, the system and method for determining the coping scheme according to the risk of the order according to the invention can automatically determine the coping scheme of the target order after judging that the state information is abnormal, and can reply the customer without depending on the experience of manufacturer personnel and/or multi-party confirmation such as workshop supervisor, physical control and purchase, thereby improving the efficiency of order management.
Drawings
FIG. 1 is a schematic diagram of a system for determining a solution to a risk of an order according to an embodiment of the present invention;
FIG. 2 is a flow diagram of a method of determining a solution to a response based on risk of an order according to an embodiment of the invention;
FIG. 3 is a flow diagram of obtaining status information for a target order according to one embodiment of the invention;
FIG. 4 is a flow chart for obtaining a risk value according to an embodiment of the present invention;
FIG. 5 is a graphical illustration of phase risk values for various phases of a target order in accordance with an embodiment of the present invention.
Description of the reference numerals
100: a system for determining a coping scheme according to the risk of the order;
110: a storage device;
111: detecting parameters;
112: an exception parameter;
113: a risk parameter;
120: a processor;
130: a transceiver;
200: an enterprise resource planning system;
300: a consumer electronic device;
s210 to S220, S211 to S215, S221 and S222;
50: the target order.
Detailed Description
Reference will now be made in detail to exemplary embodiments of the invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings and the description to refer to the same or like parts.
FIG. 1 is a diagram of a system 100 for determining a solution to a risk of an order according to an embodiment of the present invention. Referring to fig. 1, system 100 may include a storage device 110 and a processor 120. The processor 120 is coupled to the storage device 110. In other embodiments, the system 100 may also include a transceiver 130 coupled to the processor 120. The transceiver 130 may be communicatively coupled to an Enterprise Resource Planning (ERP) system 200 and the consumer electronic device 300.
The storage device 110 can store the detection parameters 111, the abnormality parameters 112, and the risk parameters 113. The purpose of which will be further explained later. It should be noted that the detection parameters 111, the abnormality parameters 112 and the risk parameters 113 are stored in the storage device 110 after being preset by the user, for example. Further, the user can still operate the consumer electronic device 300 to modify the detection parameter 111, the abnormality parameter 112, and the risk parameter 113 based on the user's needs.
In the present embodiment, the storage device 110 may include a Memory (Memory) and/or a database (database), wherein the Memory is, for example, a Non-Volatile Memory (NVM). The storage device 110 may store the relevant programs, modules, systems or algorithms for implementing the embodiments of the present invention, so as to be accessed and executed by the processor 120 to implement the relevant functions and operations described in the embodiments of the present invention. The Processor 120 may include a Central Processing Unit (CPU), or other Programmable general purpose or special purpose Microprocessor (Microprocessor), digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), programmable Logic Device (PLD), other similar Processing Circuits, or a combination thereof.
FIG. 2 is a flow chart of a method for determining a handling scheme based on risk of an order according to an embodiment of the present invention. Referring to fig. 1 and 2, the system 100 of fig. 1 may perform the following steps S210 to S220. In step S210, the processor 120 may obtain status information of the target order according to the detection parameter 111. In step S220, when the processor 120 determines that the status information is abnormal according to the risk parameter 113, the processor 120 may determine a handling scheme of the target order according to the risk value of the target order. In other words, the processor 120 may determine the status information of the target order according to the detection parameter 111 preset by the user, and may determine whether the status information is abnormal according to the risk parameter 113 preset by the user. Then, if the status information of the target order is abnormal, the processor 120 may automatically determine a handling scheme of the target order without relying on the experience of the manufacturer and/or multiple confirmation of the workshop supervisor, material control, purchase, and the like, and may reply the handling scheme to the customer.
FIG. 3 is a flow diagram of obtaining status information for a target order according to one embodiment of the invention. Fig. 3 is a further description of step S210 of fig. 2. Referring to fig. 1, 2, and 3, the system 100 of fig. 1 may perform steps S211 to S215 as follows. In the present embodiment, the detection parameter 111 may include a predetermined future time. At step S211, processor 120 may receive an order from enterprise resource planning system 200 via transceiver 130. In step S212, the processor 120 may obtain the target order from the orders using the preset future time, wherein the delivery period of the target order is later than the preset future time. In other words, processor 120 may obtain, from enterprise resource planning system 200, the target order that did not end within the preset future time. It should be noted that the detection parameters 111 can also include a detection frequency (e.g., a frequency of receiving orders from the enterprise resource planning system 200) and a detection number (e.g., a number of receiving orders from the enterprise resource planning system 200), but the invention is not limited thereto.
It is noted that after completing step S211 and step S212, the processor 120 may delete the normal/risk-free target orders according to the exception parameter 112. Exception parameters 112 may include the delivery date of the target order and/or the availability of the target order. For example, if the validity of the target order indicates that the target order is "voided," the processor 120 may cull the target order (without performing the steps subsequent to FIG. 3).
In this embodiment, the target order may include multiple phases. The multiple stages may include an order taking stage, a stock preparation stage, a production stage, and a shipment stage. Further, the state information may include a plurality of stage state information. In other words, in the present embodiment, the status information of the target order may include stage status information of the order taking stage, stage status information of the stock preparation stage, stage status information of the production stage, and stage status information of the shipment stage.
In this embodiment, the target order may correspond to a target order number. To obtain the status information of each stage of the target order, the processor 120 may receive the order delivery period summary table and the order configuration table from the enterprise resource planning system 200 via the transceiver 130 at step S213. Then, in step S214, the processor 120 may obtain the document and the stock matching information corresponding to the target order from the order delivery period summary table and the order configuration table by using the target order number. In one embodiment, documents (stored in enterprise resource planning system 200) may include sales orders, work orders, and purchase orders, although the invention is not limited in this respect.
In step S215, the processor 120 may obtain a plurality of stage status information respectively corresponding to the plurality of stages using the document and the inventory matching information. For example, the processor 120 may obtain the phase status information of the order taking phase as "completed", the phase status information of the stock preparation phase as "completed proportion as 60%", the phase status information of the production phase as "predicted completion day as 20221201", and the phase status information of the shipment phase as "predicted completion day as 20221203".
FIG. 4 is a flow chart of obtaining a risk value according to an embodiment of the present invention. Fig. 4 is a further illustration of step S220 of fig. 2. Referring to fig. 1, 2, and 4, the system 100 of fig. 1 may perform the following steps S221 to S222. In this embodiment, the risk parameters 113 may include stage specific gravity. Further, each of the plurality of stages may correspond to a stage specific gravity. For example, assume that the stage specific gravity of the order taking stage is w1, the stage specific gravity of the preparation stage is w2, the stage specific gravity of the production stage is w3, and the stage specific gravity of the shipment stage is w4. Since the overall influence of the postponement of later stages on the target order among the stages of the target order is generally greater, the stage specific gravity w4 may be set to be greater than the stage specific gravity w1, greater than the stage specific gravity w2, and greater than the stage specific gravity w3, although the present invention is not limited thereto.
Please refer to fig. 4. In step S221, the processor 120 may obtain the expected number of postponed days for each of the plurality of phases according to the document completion time of the document. Then, in step S222, the processor 120 may obtain a risk value according to the stage specific gravity and the expected delay days. In the example above, it is assumed that the expected number of postponement days in the order taking stage is 4 days, the expected number of postponement days in the stock preparation stage is 3 days, the expected number of postponement days in the production stage is 2 days, and the expected number of postponement days in the shipment stage is 1 day. The risk value of the target order available to the processor 120 is 4 xw 1+3 xw 2+2 xw 3+1 xw 4.
FIG. 5 is a graphical illustration of phase risk values for various phases of a target order 50, in accordance with an embodiment of the present invention. In this embodiment, processor 120 may set a phase risk value for each phase of target order 50 separately based on risk parameters 113 using the expected number of delay days for each phase. For example, assume that the expected number of deferred days for the order taking phase of target order 50 is 5 days, the expected number of deferred days for the stock preparation phase is 1 day, the expected number of deferred days for the production phase is 5 days, and the expected number of deferred days for the shipment phase is 2 days. The processor 120 may set the order taking phase of the target order 50 to stage high risk, the stock phase to stage low risk, the production phase to stage high risk, and the shipment phase to stage low risk. In other words, processor 120 may set a phase risk value for each phase of target order 50 based on the number of days to defer for each phase and a preset cycle threshold (for each phase).
In other embodiments, the risk parameters 113 may include a risk type and a risk rule. When the processor 120 determines that the status information is abnormal according to the risk parameter 113, the processor 120 may determine the risk reason according to the risk type and the risk rule. For example, the risk rule is "difference between current date and delivery date of the target order". If the risk type of the target order is "order risk stock plan", the processor 120 may determine that the risk reason is "overdue stock plan not scheduled". On the other hand, if the risk type of the target order is "order risk production plan", the processor 120 may determine that the risk reason is "overdue non-discharge production plan".
In other embodiments, the target order may correspond to a quantity to be delivered, and may correspond to a quantity completed. The processor 120 can determine the handling scheme according to the required delivery quantity and the completed quantity. In detail, the handling scheme may include "back lead", "modified quantity", and "delivery in batch", and the processor 120 may determine the priority of "back lead", "modified quantity", and "delivery in batch" according to the ratio of the completed quantity to the required delivery quantity. For example, if the completed quantity is 20% of the required delivery quantity, the priority may be "back delivery", "modified quantity", and "delivery in batch" in order. On the other hand, if the ratio of the completed quantity to the required delivery quantity is 60%, the priority may be "batch delivery", "modified quantity", and "delivery back" in this order.
After determining the coping scheme for the target order, the processor 120 may transmit the coping scheme to the consumer electronic device 300 through the transceiver 130. In other embodiments, the processor 120 may transmit the response to the consumer electronic device 300 via the communication software. After the user (the person in charge of the target order) receives the coping plan, the user can operate the consumer electronic device 300 to change the target order in accordance with the coping plan. The processor 120 may then receive an order change notification for the target order from the consumer electronic device 300 via the transceiver 130. The processor 120 can then transmit an order change notification to the enterprise resource planning system 200 via the transceiver 130 to write the order change notification back to the enterprise resource planning system 200.
In summary, the system and method for determining a handling scheme according to the risk of the order according to the present invention can obtain the stage status information of the target order from the order receiving stage to the shipment stage according to the documents and/or reports in the enterprise resource planning system. In addition to this, it is also possible to set a stage risk value for each stage of the target order and to notify the user (responsible person for the target order) after the solution for the target order has been determined. Finally, the change order may be written back to the enterprise resource planning system after the user confirms the change order. Therefore, the order can be effectively determined and the corresponding scheme can be determined without depending on the experience of manufacturer personnel and/or the confirmation of multiple parties such as workshop supervisor, material control and purchase, and the efficiency of order management is improved.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (20)
1. A system for determining a solution to a response based on risk of an order, comprising:
the storage device is used for storing the detection parameters and the risk parameters; and
a processor coupled to the storage device, wherein
The processor obtains the state information of the target order according to the detection parameters;
and when the processor judges that the state information is abnormal according to the risk parameters, the processor determines a coping scheme of the target order according to the risk value of the target order.
2. The system of claim 1, further comprising a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to an enterprise resource planning system, wherein the sensed parameter comprises a predetermined future time, wherein
The processor receiving an order from the enterprise resource planning system via the transceiver;
the processor obtains the target order from the orders using the preset future time, wherein a delivery date of the target order is later than the preset future time.
3. The system of claim 2, wherein the target order corresponds to a target order number and the target order comprises a plurality of stages, wherein the status information comprises a plurality of stage status information, wherein
The processor receives an order delivery total table and an order configuration table from the enterprise resource planning system through the transceiver;
the processor obtains a bill corresponding to the target order and inventory matching information from the order delivery period general table and the order configuration table by using the target order number;
the processor obtains the plurality of stage status information corresponding to the plurality of stages, respectively, using the document and the inventory matching information.
4. The system of claim 3, wherein the documents include sales orders, work orders, and purchase orders.
5. The system of claim 3, wherein the plurality of stages includes a pick-up stage, a stock preparation stage, a production stage, and a shipment stage.
6. The system of claim 1, wherein the target order comprises a plurality of stages and the target order corresponds to a document, wherein the risk parameter comprises a stage specific gravity, wherein each of the plurality of stages corresponds to the stage specific gravity, wherein
The processor obtains the expected number of delay days of each of the multiple stages according to the bill completion time of the bill;
the processor obtains the risk value based on the stage specific gravity and the expected number of days to defer.
7. The system of claim 1, wherein the risk parameters include a risk type and a risk rule, wherein
And when the processor judges that the state information is abnormal according to the risk parameters, the processor judges a risk reason according to the risk type and the risk rule.
8. The system of claim 1, wherein the target order corresponds to a quantity to be delivered and to a quantity completed, wherein
The processor determines the corresponding scheme according to the quantity to be delivered and the finished quantity.
9. The system of claim 1, further comprising a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to a consumer electronic device, wherein
The processor transmits the coping scheme to the consumer electronic device through the transceiver.
10. The system of claim 1, further comprising a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to a consumer electronic device and an enterprise resource planning system, wherein
The processor receiving an order change notification for the target order from the consumer electronic device via the transceiver;
the processor transmits the order change notification to the enterprise resource planning system via the transceiver.
11. A method for determining a coping plan according to a risk of an order, adapted to a system including a storage device and a processor, the method comprising:
obtaining state information of the target order by the processor according to the detection parameters; and
and when the processor judges that the state information is abnormal according to the risk parameters, the processor determines a coping scheme of the target order according to the risk value of the target order.
12. The method of claim 11, further comprising a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to an enterprise resource planning system, wherein the sensed parameter comprises a predetermined future time, and wherein the method further comprises:
receiving, by the processor, an order from the enterprise resource planning system via the transceiver; and
obtaining, by the processor, the target order of the orders using the preset future time, wherein a delivery date of the target order is later than the preset future time.
13. The method of claim 12, wherein the target order corresponds to a target order number and the target order comprises a plurality of phases, wherein the status information comprises a plurality of phase status information, wherein the method further comprises:
receiving, by the processor, an order delivery summary and an order configuration table from the enterprise resource planning system via the transceiver;
obtaining, by the processor, documents and inventory matching information corresponding to the target order from the order delivery summary table and the order configuration table using the target order number; and
obtaining, by the processor, the plurality of stage status information corresponding respectively to the plurality of stages using the document and the inventory matching information.
14. The method of claim 13, wherein the documents include sales orders, work orders, and purchase orders.
15. The method of claim 13, wherein the plurality of stages includes a pick-and-place stage, a stock preparation stage, a production stage, and a shipment stage.
16. The method of claim 11, wherein the target order comprises a plurality of stages and the target order corresponds to a document, wherein the risk parameter comprises a stage specific gravity, wherein each of the plurality of stages corresponds to the stage specific gravity, wherein the method further comprises:
obtaining, by the processor, a projected number of deferral days for each of the plurality of stages according to a document completion time of the document; and
obtaining, by the processor, the risk value based on the phase specific gravity and the expected number of days to defer.
17. The method of claim 11, wherein the risk parameters include a risk type and a risk rule, and wherein the method further comprises:
and when the processor judges that the state information is abnormal according to the risk parameters, the processor judges a risk reason according to the risk type and the risk rule.
18. The method of claim 11, wherein the target order corresponds to a quantity to be delivered and to a quantity completed, and wherein the method further comprises:
determining, by the processor, the coping scenario according to the quantity to be delivered and the completed quantity.
19. The method of claim 11, wherein the system further comprises a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to a consumer electronic device, and wherein the method further comprises:
transmitting, by the processor, the coping scheme to the consumer electronic device through the transceiver.
20. The method of claim 11, wherein the system further comprises a transceiver coupled to the processor, wherein the transceiver is communicatively coupled to a consumer electronic device and an enterprise resource planning system, wherein the method further comprises:
receiving, by the processor, an order change notification for the target order from the consumer electronic device through the transceiver; and
transmitting, by the processor, the order change notification to the enterprise resource planning system via the transceiver.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211487502.2A CN115829682A (en) | 2022-11-24 | 2022-11-24 | System and method for determining coping schemes according to risks of orders |
| TW111146678A TWI845050B (en) | 2022-11-24 | 2022-12-06 | System and method for determining response plan according to risk of order |
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| CN202211487502.2A CN115829682A (en) | 2022-11-24 | 2022-11-24 | System and method for determining coping schemes according to risks of orders |
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| US20210390498A1 (en) * | 2018-11-01 | 2021-12-16 | C3.Ai, Inc. | Systems and methods for inventory management and optimization |
| US10657492B1 (en) * | 2019-09-23 | 2020-05-19 | Coupang Corp. | Systems and methods for optimization of a product inventory by an intelligent adjustment of inbound purchase orders |
| CN114548865A (en) * | 2022-02-17 | 2022-05-27 | 山东美陵博德化工机械有限公司 | Design method of production scheduling early warning and alarm mechanism system based on ERP |
| CN115081913A (en) * | 2022-06-29 | 2022-09-20 | 青岛蓝智现代服务业数字工程技术研究中心 | Supply chain risk assessment and prevention and control system |
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