CN116739525A - Collaborative production management system based on Internet of things - Google Patents

Collaborative production management system based on Internet of things Download PDF

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CN116739525A
CN116739525A CN202310764811.8A CN202310764811A CN116739525A CN 116739525 A CN116739525 A CN 116739525A CN 202310764811 A CN202310764811 A CN 202310764811A CN 116739525 A CN116739525 A CN 116739525A
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解贻俊
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Anhui Zhonghou Intelligent Technology Co ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635Processing of requisition or of purchase orders
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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Abstract

The invention discloses a collaborative production management system based on the Internet of things, which relates to the technical field of production management, and discloses an order acquisition module, a collaborative management module and a task supervision module.

Description

Collaborative production management system based on Internet of things
Technical Field
The invention relates to the technical field of production management, in particular to a collaborative production management system based on the Internet of things.
Background
In the production and management of the current enterprise, in order to ensure the order production efficiency of the enterprise, a plurality of tasks in the production order of the enterprise need to be performed cooperatively, such as drawing design, equipment processing and personnel assembly, and when the drawing design is to a certain extent, the equipment processing and the personnel assembly need to be performed simultaneously. When a plurality of production orders are simultaneously carried out by the current enterprises, partial order delay is easy to cause.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention aims to provide a collaborative production management system based on the Internet of things.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the collaborative production management system based on the Internet of things comprises an order acquisition module, a collaborative management module and a task supervision module;
the order acquisition module is used for acquiring a production order and sending the production order to the server for storage through the Internet of things;
the collaborative management module is used for coordinating collaborative production tasks among ongoing production orders, ensuring that the tasks of the production orders can be collaborative produced, and specifically comprises the following steps:
step one: acquiring a current production order of a system, acquiring all collaborative production tasks of the production order, marking the collaborative production tasks as collaborative reference tasks when actual completion time exists in the collaborative production tasks, and marking the collaborative production tasks as collaborative adjustable tasks when the actual completion time does not exist in the collaborative production tasks;
step two: comparing the actual completion time of the coordination reference task with the planned completion time, marking the coordination reference task as a missed reference task when the actual completion time is later than the planned completion time, otherwise marking the coordination reference task as an ideal reference task, obtaining a coordination reference value Bm, comparing the actual starting time of the coordination adjustable task with the planned starting time, marking the coordination adjustable task as a specific-standard adjustable task when the actual starting time is later than the planned starting time, otherwise marking the coordination adjustable task as a missed adjustable task, and obtaining a coordination adjustable value Rw;
step three: obtaining a synergy deviation value Sc, setting a synergy deviation low value as Lr, setting a synergy deviation high value as Kq, marking the production order as a synergy post-order when the synergy deviation value Sc is larger than or equal to the synergy deviation high value Kq, marking the production order as a synergy standard order when the synergy deviation low value Lr is smaller than or equal to the synergy deviation value Sc and smaller than the synergy deviation high value Kq, marking the production order as a synergy pre-order when the synergy deviation value Sc is smaller than the synergy deviation low value Lr, obtaining the affiliated synergy task type of the synergy adjustable task of the synergy post-order, obtaining the affiliated synergy task type of the synergy adjustable task of the co-pre-order, and allocating the production resources of the co-adjustable task of the same synergy task type in the co-pre-order to the co-adjustable task of the same synergy adjustable task type in the post-order;
the task supervision module is used for marking the cooperative task types needing important supervision, and specifically comprises the following steps:
step one: acquiring all collaborative production tasks before the current time of the system, acquiring collaborative task types of the collaborative production tasks, sequencing the missed reference tasks of the same collaborative task type according to the actual completion time, calculating the time difference value of two adjacent actual completion times after sequencing, acquiring the missed completion interval, carrying out summation treatment on all the missed completion intervals, taking an average value, and acquiring the missed completion interval Tz;
step two: acquiring the total number of the missed reference tasks before the current time of the system, acquiring the total number of the collaborative production tasks before the current time of the system, calculating the ratio of the total number of the missed reference tasks to the total number of the collaborative production tasks, and acquiring the missed reference ratio Rt;
step three: obtaining a task supervision value Fw, setting a task supervision value threshold value as Ys, marking the cooperative task as an important supervision task when the task supervision value Fw is more than or equal to the task supervision value threshold value Ys, and not processing when the task supervision value Fw is less than the task supervision value threshold value Ys.
Further, the collaborative production task includes a collaborative task type, an actual start time, a planned start time, an actual completion time, and a planned completion time.
Further, the cooperative reference value Bm is obtained by the following steps: calculating the time difference between the actual completion time and the planned completion time of the missed reference task, obtaining the completion delay time, carrying out summation treatment on the completion delay time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Hn, calculating the time difference between the planned completion time and the actual completion time of the ideal reference task, obtaining the completion advance time, carrying out summation treatment on the completion advance time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Tb, and obtaining the cooperative reference value Bm by using a formula Bm=Hn×a1-Tb×a2, wherein a1 and a2 are preset proportionality coefficients.
Further, the cooperative adjustable value Rw is obtained by the following steps: calculating the time difference between the actual starting time and the planned starting time of the special mark adjustable task to obtain a start delay time, summing the start delay time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time De, calculating the time difference between the planned starting time and the actual starting time of the mark-losing adjustable task to obtain a start advance time, summing the start advance time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time Zk, and obtaining a co-pipe adjustable value Rw by using a formula Rw=De×b1-Zk×b2, wherein b1 and b2 are preset proportional coefficients.
Further, the collaborative bias value Sc is obtained by the following steps: and obtaining a collaborative deviation value Sc of the production order by using a formula Sc=Bm×c1+Rw×c2, wherein c1 and c2 are preset proportionality coefficients.
Further, the task supervision value Fw is obtained by the following steps: using the formulaAnd obtaining a task supervision value Fw, wherein d1 and d2 are preset proportionality coefficients.
Compared with the prior art, the invention has the following beneficial effects:
1. the collaborative management module is arranged, so that collaborative production tasks among ongoing production orders can be coordinated, the tasks of the production orders can be guaranteed to be collaborative in production, the tasks of each production order can be guaranteed to be collaborative efficiently, and the situation that the production orders are delayed is avoided;
2. the task supervision module is arranged to mark the type of the collaborative task which needs to be supervised, and continuously pay attention to the collaborative task in the subsequent order, so that the collaborative task is prevented from influencing the collaborative production of the whole production order.
Drawings
FIG. 1 is a schematic block diagram of a collaborative management module of the present invention;
fig. 2 is a functional block diagram of a task supervision module of the present invention.
Detailed Description
Example 1
Referring to fig. 1, a collaborative production management system based on the internet of things comprises an order acquisition module and a collaborative management module.
The order acquisition module is used for acquiring production orders and sending the production orders to the server for storage through the Internet of things.
The collaborative management module is used for coordinating collaborative production tasks among ongoing production orders, ensuring that the tasks of the production orders can be collaborative produced, and specifically comprises the following steps:
step one: obtaining a current production order of the system (for example, 5 production orders are currently performed, namely, a production order A, a production order B, a production order C, a production order D and a production order E) and obtaining all collaborative production tasks of the production order (each production order corresponds to a plurality of collaborative production tasks, for example, each production order comprises drawing design, equipment processing and personnel assembling, in order to ensure the production efficiency of the whole production link, when the drawing design is to a certain extent, the equipment processing and the personnel assembling are required to be performed simultaneously, and the drawing design, the equipment processing and the personnel assembling are collaborative production tasks), wherein the collaborative production tasks comprise collaborative task types, actual starting moments, plan starting moments, actual completion moments and plan completion moments. If the type of the collaborative task of the collaborative production task (1) in the production order A is the drawing design, the actual starting time is 2021, 5, 8, 10:12: 30. planned starting time 2021, 5 months 8 days 08:00: 00. actual completion time 2021, 5 months, 15 days 16:28: 32. planned completion time 2021, 5 months, 16 days 18:00:00, the cooperative task type of the cooperative production task (2) in the production order A is equipment processing, and the actual starting time is 2021, 5, 10 and 09:16: 50. the planned starting time 2021, 5 months, 10 days 08:00: 00. planned completion time 2021, 5 months, 18 days 18:00:00, the task is not completed yet, no actual completion time exists, and the cooperative task type of the cooperative production task (3) in the production order A is assembled by a person. When the actual completion time exists in the collaborative production task, the collaborative production task is marked as a collaborative reference task, and when the actual completion time does not exist in the collaborative production task, the collaborative production task is marked as a collaborative adjustable task.
Step two: comparing the actual completion time of the cooperative reference task with the planned completion time, marking the cooperative reference task as a missing reference task when the actual completion time is later than the planned completion time, otherwise marking the cooperative reference task as an ideal reference task, obtaining a cooperative reference value Bm, and obtaining the cooperative reference value Bm through the following steps: calculating the time difference between the actual completion time and the planned completion time of the missed reference task, obtaining the completion delay time, carrying out summation treatment on the completion delay time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Hn, calculating the time difference between the planned completion time and the actual completion time of the ideal reference task, obtaining the completion advance time, carrying out summation treatment on the completion advance time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Tb, and obtaining the cooperative reference value Bm by using a formula Bm=Hn×a1-Tb×a2, wherein a1 and a2 are preset proportion coefficients, a1 has a value of 0.87, and a2 has a value of 0.86. Comparing the actual starting time of the coordination adjustable task with the planned starting time, marking the coordination adjustable task as a specific-standard adjustable task when the actual starting time is later than the planned starting time, otherwise marking the coordination adjustable task as a standard-losing adjustable task, and obtaining a coordination adjustable value Rw; the cooperative adjustable value Rw is obtained by the following steps: calculating the time difference between the actual starting time and the planned starting time of the special mark adjustable task to obtain a start delay time, summing the start delay time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time De, calculating the time difference between the planned starting time and the actual starting time of the mark-losing adjustable task to obtain a start advance time, summing the start advance time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time Zk, and obtaining a co-pipe adjustable value Rw by using a formula Rw=De×b1-Zk×b2, wherein b1 and b2 are preset proportional coefficients, b1 is 0.83, and b2 is 0.82.
Step three: the method comprises the steps of obtaining a collaborative deviation value Sc, wherein the collaborative deviation value Sc is obtained through the following steps: and obtaining a synergistic deviation value Sc of the production order by using a formula Sc=Bm×c1+Rw×c2, wherein c1 and c2 are preset proportionality coefficients, the value of c1 is 1.01, and the value of c2 is 1.02. Setting a low collaborative deviation value Lr and a high collaborative deviation value Kq, marking the production order as a post collaborative order when the collaborative deviation value Sc is larger than or equal to the high collaborative deviation value Kq, marking the production order as a standard collaborative order when the low collaborative deviation value Lr is smaller than or equal to the high collaborative deviation value Kq, marking the production order as a pre collaborative order when the collaborative deviation value Sc is smaller than the low collaborative deviation value Lr, acquiring the type of the collaborative task of the adjustable collaborative task of the post collaborative order, acquiring the type of the collaborative task of the adjustable collaborative task of the pre collaborative order, and allocating the production resources of the same collaborative task type of the adjustable collaborative task in the pre collaborative order to the same adjustable collaborative task type of the adjustable collaborative task in the post collaborative order. If the production order A is a collaborative post-order, the production order B is a collaborative pre-order, and the collaborative adjustable task of the same collaborative task type between the production order A and the production order B is a drawing design, allocating drawing design resources (such as manpower) of the production order B to the drawing design task of the production order A. The collaborative management module is arranged, so that collaborative production tasks among ongoing production orders can be coordinated, the production order tasks can be guaranteed to be collaborative in production, the production order tasks can be guaranteed to be collaborative in high efficiency, and the situation that the production orders are delayed is avoided.
Example 2
Referring to fig. 2, on the basis of embodiment 1, the system further includes a task supervision module, where the task supervision module is configured to mark a cooperative task type that needs to be monitored with emphasis, specifically:
step one: acquiring all collaborative production tasks (such as all drawing design tasks before the current time of the system) before the current time of the system, acquiring collaborative task types of the collaborative production tasks, sequencing missing reference tasks of the same collaborative task type according to actual completion time, calculating time difference values of two adjacent actual completion time after sequencing, acquiring missing completion intervals, summing all the missing completion intervals, taking an average value, and acquiring missing completion uniform intervals Tz.
Step two: the method comprises the steps of obtaining the total number of the missed reference tasks before the current time of the system, obtaining the total number of the collaborative production tasks before the current time of the system, calculating the ratio of the total number of the missed reference tasks to the total number of the collaborative production tasks, and obtaining the missed reference ratio Rt.
Step three: acquiring a task supervision value Fw, wherein the task supervision value Fw is acquired through the following steps: using the formulaAnd obtaining a task supervision value Fw, wherein d1 and d2 are preset proportionality coefficients, the value of d1 is 0.72, and the value of d2 is 0.58. Setting a task supervision value threshold value as Ys, marking the cooperative task as an important supervision task when the task supervision value Fw is more than or equal to the task supervision value threshold value Ys, and not processing when the task supervision value Fw is less than the task supervision value threshold value Ys. If the drawing design task is marked as the important supervision task, the drawing design task of each production order is monitored in a follow-up mode. The task supervision module is arranged to mark the type of the collaborative task which needs to be supervised, and continuously pay attention to the collaborative task in the subsequent order, so that the collaborative task is prevented from influencing the collaborative production of the whole production order.
Working principle:
the collaborative management module is arranged, so that collaborative production tasks among ongoing production orders can be coordinated, the production order tasks can be guaranteed to be collaborative in production, the production order tasks can be guaranteed to be collaborative in high efficiency, and the situation that the production orders are delayed is avoided. The task supervision module is arranged to mark the type of the collaborative task which needs to be supervised, and continuously pay attention to the collaborative task in the subsequent order, so that the collaborative task is prevented from influencing the collaborative production of the whole production order.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above examples, and all technical solutions belonging to the concept of the present invention belong to the protection scope of the present invention. It should be noted that modifications and adaptations to those skilled in the art without departing from the principles of the present invention are intended to be considered as protecting the scope of the present template.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.

Claims (6)

1. The collaborative production management system based on the Internet of things is characterized by comprising an order acquisition module, a collaborative management module and a task supervision module;
the order acquisition module is used for acquiring a production order and sending the production order to the server for storage through the Internet of things;
the collaborative management module is used for coordinating collaborative production tasks among ongoing production orders, ensuring that the tasks of the production orders can be collaborative produced, and specifically comprises the following steps:
step one: acquiring a current production order of a system, acquiring all collaborative production tasks of the production order, marking the collaborative production tasks as collaborative reference tasks when actual completion time exists in the collaborative production tasks, and marking the collaborative production tasks as collaborative adjustable tasks when the actual completion time does not exist in the collaborative production tasks;
step two: comparing the actual completion time of the coordination reference task with the planned completion time, marking the coordination reference task as a missed reference task when the actual completion time is later than the planned completion time, otherwise marking the coordination reference task as an ideal reference task, obtaining a coordination reference value Bm, comparing the actual starting time of the coordination adjustable task with the planned starting time, marking the coordination adjustable task as a specific-standard adjustable task when the actual starting time is later than the planned starting time, otherwise marking the coordination adjustable task as a missed adjustable task, and obtaining a coordination adjustable value Rw;
step three: obtaining a synergy deviation value Sc, setting a synergy deviation low value as Lr, setting a synergy deviation high value as Kq, marking the production order as a synergy post-order when the synergy deviation value Sc is larger than or equal to the synergy deviation high value Kq, marking the production order as a synergy standard order when the synergy deviation low value Lr is smaller than or equal to the synergy deviation value Sc and smaller than the synergy deviation high value Kq, marking the production order as a synergy pre-order when the synergy deviation value Sc is smaller than the synergy deviation low value Lr, obtaining the affiliated synergy task type of the synergy adjustable task of the synergy post-order, obtaining the affiliated synergy task type of the synergy adjustable task of the co-pre-order, and allocating the production resources of the co-adjustable task of the same synergy task type in the co-pre-order to the co-adjustable task of the same synergy adjustable task type in the post-order;
the task supervision module is used for marking the cooperative task types needing important supervision, and specifically comprises the following steps:
step one: acquiring all collaborative production tasks before the current time of the system, acquiring collaborative task types of the collaborative production tasks, sequencing the missed reference tasks of the same collaborative task type according to the actual completion time, calculating the time difference value of two adjacent actual completion times after sequencing, acquiring the missed completion interval, carrying out summation treatment on all the missed completion intervals, taking an average value, and acquiring the missed completion interval Tz;
step two: acquiring the total number of the missed reference tasks before the current time of the system, acquiring the total number of the collaborative production tasks before the current time of the system, calculating the ratio of the total number of the missed reference tasks to the total number of the collaborative production tasks, and acquiring the missed reference ratio Rt;
step three: obtaining a task supervision value Fw, setting a task supervision value threshold value as Ys, marking the cooperative task as an important supervision task when the task supervision value Fw is more than or equal to the task supervision value threshold value Ys, and not processing when the task supervision value Fw is less than the task supervision value threshold value Ys.
2. The collaborative production management system based on the internet of things according to claim 1, wherein collaborative production tasks include collaborative task type, actual start time, planned start time, actual completion time, planned completion time.
3. The collaborative production management system based on the internet of things according to claim 2, wherein the collaborative reference value Bm is obtained by: calculating the time difference between the actual completion time and the planned completion time of the missed reference task, obtaining the completion delay time, carrying out summation treatment on the completion delay time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Hn, calculating the time difference between the planned completion time and the actual completion time of the ideal reference task, obtaining the completion advance time, carrying out summation treatment on the completion advance time of all the cooperative reference tasks of the production order, obtaining the total completion delay time Tb, and obtaining the cooperative reference value Bm by using a formula Bm=Hn×a1-Tb×a2, wherein a1 and a2 are preset proportionality coefficients.
4. The collaborative production management system based on the internet of things according to claim 3, wherein the collaborative adjustable value Rw is obtained by: calculating the time difference between the actual starting time and the planned starting time of the special mark adjustable task to obtain a start delay time, summing the start delay time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time De, calculating the time difference between the planned starting time and the actual starting time of the mark-losing adjustable task to obtain a start advance time, summing the start advance time of all the co-pipe adjustable tasks of the production order to obtain a start delay total time Zk, and obtaining a co-pipe adjustable value Rw by using a formula Rw=De×b1-Zk×b2, wherein b1 and b2 are preset proportional coefficients.
5. The collaborative production management system based on the internet of things according to claim 4, wherein the collaborative bias value Sc is obtained by: and obtaining a collaborative deviation value Sc of the production order by using a formula Sc=Bm×c1+Rw×c2, wherein c1 and c2 are preset proportionality coefficients.
6. The collaborative production management system based on the internet of things according to claim 5, wherein the task supervision value Fw is obtained by: using the formulaAnd obtaining a task supervision value Fw, wherein d1 and d2 are preset proportionality coefficients.
CN202310764811.8A 2023-06-27 2023-06-27 Collaborative production management system based on Internet of things Withdrawn CN116739525A (en)

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Application publication date: 20230912