CN117952396B - Manufacturing execution management system based on Internet of things - Google Patents

Manufacturing execution management system based on Internet of things Download PDF

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CN117952396B
CN117952396B CN202410324691.4A CN202410324691A CN117952396B CN 117952396 B CN117952396 B CN 117952396B CN 202410324691 A CN202410324691 A CN 202410324691A CN 117952396 B CN117952396 B CN 117952396B
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CN117952396A (en
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朱文军
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Yancheng Haoyue Information Technology Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0633—Workflow analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04—Manufacturing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
    • G16Y40/00—IoT characterised by the purpose of the information processing
    • G16Y40/30—Control
    • G16Y40/35—Management of things, i.e. controlling in accordance with a policy or in order to achieve specified objectives

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Abstract

The invention relates to the technical field of manufacturing management, and particularly discloses a manufacturing execution management system based on the Internet of things, which comprises the following components: historical data statistics module: numbering each procedure according to the production flow of the production line, and counting the number of stations corresponding to each procedure under the current time node; and a data acquisition module: setting an acquisition period, acquiring the working efficiency of each working procedure in the acquisition period, and calculating the average station efficiency of each working procedure; and a data processing module: calculating an adjacent difference according to the working efficiency of the adjacent working procedures, and acquiring a retention working procedure in the production flow through the adjacent difference; calculating a production plan deviation according to the feeding amount of the first working procedure and the output amount of the last working procedure; and the assembly line adjusting module is used for: and analyzing the adjustment quantity of the number of the stations corresponding to each process according to the production plan deviation, the retention process, the average station efficiency and the adjacent difference. The invention can realize timely adjustment after the production efficiency of the production line is changed.

Description

Manufacturing execution management system based on Internet of things
Technical Field
The invention relates to the technical field of manufacturing management, in particular to a manufacturing execution management system based on the Internet of things.
Background
The internet of things is an information carrier based on the Internet, a traditional telecommunication network and the like, and enables all common physical objects which can be independently addressed to form an interconnection network; the intelligent sensing system is characterized in that any object or process needing to be monitored, connected and interacted is collected in real time through various devices and technologies such as Radio Frequency Identification (RFID), an infrared sensor, a Global Positioning System (GPS), a laser scanner and the like, various needed information such as sound, light, heat, electricity, mechanics, chemistry, biology, position and the like is collected, and the ubiquitous connection of objects and people is realized through various possible network access, so that intelligent sensing, identification and management of objects and processes are realized.
In the conventional flow line production process of a factory, each flow line is called a process, one or more stations are arranged on each process, and each station corresponds to a worker. In the current assembly line operation, most of the factors such as operation difficulty, completion time and the like of corresponding working procedures are referred, and the number of working stations of the working procedures is set according to experience, so that the normal operation of the assembly line is ensured. However, in the actual production process, the job departure and the job entry of the workshop workers are frequent, so that workers on the work station are in a flowing state, and it is difficult to ensure that the same work station is always operated by a certain worker. And different workers have difficulty in ensuring the consistency of working efficiency because of different proficiency levels of working procedures and the like, thereby influencing the stable production of the assembly line.
Disclosure of Invention
The invention aims to provide a manufacturing execution management system based on the Internet of things, which solves the technical problems.
The aim of the invention can be achieved by the following technical scheme:
a manufacturing execution management system based on the internet of things, comprising:
Historical data statistics module: numbering each procedure according to the production flow of the production line, and counting the number of stations corresponding to each procedure under the current time node;
And a data acquisition module: setting an acquisition period, acquiring the working efficiency of each working procedure in the acquisition period, and calculating the average station efficiency P i=Ki/Si of each working procedure, wherein K i represents the working efficiency of the i th working procedure, and S i represents the number of stations corresponding to the i-th working procedure under the current time node;
And a data processing module: calculating an adjacent difference according to the working efficiency of the adjacent working procedures, and acquiring a retention working procedure in the production flow through the adjacent difference; calculating a production plan deviation according to the feeding amount of the first working procedure and the output amount of the last working procedure;
and the assembly line adjusting module is used for: and analyzing the adjustment quantity of the number of stations corresponding to each detention procedure according to the production plan deviation, detention procedure, average station efficiency and adjacent difference.
As a further scheme of the invention: calculating the production plan deviation includes: the production plan deviation Δq=qs-Qc is calculated by taking the frequency of the raw material fed to the first step as the feed amount Qs and the work efficiency of the last step as the output amount Qc.
As a further scheme of the invention: in the data processing module, the specific steps for acquiring the retention process section are as follows:
Acquiring the working efficiency K n and K n+1 of the adjacent working procedure n and working procedure n+1, wherein n is more than or equal to 1;
calculating the adjacent difference delta K n+1=Kn-Kn+1 of the process n+1;
When the adjacent difference Δk n =0, the determination step n+1 is not a retention step;
when the adjacent difference Δk n > 0, the determination step n+1 is a retention step.
As a further scheme of the invention: in the data processing module, the adjacent difference Δk 1=Qs-K1 of the first process is equal.
As a further scheme of the invention: the material feeding amount is formulated according to a production plan, and the formulation method comprises the following steps: obtaining a production plan of a current production period, and obtaining a planned output and production time according to the production plan; and setting feeding amount according to the planned output and the production time.
As a further scheme of the invention: in the assembly line adjusting module, the specific steps for calculating the adjustment amount of the station number are as follows:
Obtaining a production plan deviation delta Q, and judging whether the production plan deviation meets constraint conditions, wherein the constraint is as follows: ΔQ is less than or equal to Q, Q epsilon (0, 0.12 qs); q represents a preset floatable value;
When the production plan deviation delta Q meets constraint conditions, the first m retention procedures are sequentially selected from the last procedure as a starting point to serve as adjustment procedures until m meets constraint:
∑ΔK≤ΔQ；
（∑ΔK）'≥ΔQ；
wherein ΣΔk represents the sum of adjacent differences of the previous m-1 retention steps; (ΣΔk)' represents the sum of adjacent differences of the first m retention steps;
acquiring information of the adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K max -K)/P, wherein K max represents the maximum value of working efficiency in the first m retention procedures, K represents the working efficiency of the adjustment procedures, and P represents the average station efficiency of the adjustment procedures;
Stations are added for each retention process according to the adjustment quantity S.
As a further scheme of the invention: when the production plan deviation delta Q does not meet the constraint condition, the working efficiency of each detention process is obtained, detention processes with the number more than or equal to (Qs-Q) are screened out, the detention process with the last number is used as a starting process, and all detention processes from the starting process to the last process are used as adjustment processes;
acquiring information of adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K q -K)/P, wherein K q represents working efficiency of a starting procedure, K represents working efficiency of the adjustment procedure, and P represents average station efficiency of the adjustment procedure;
Stations are added for each retention process according to the adjustment quantity S.
As a further scheme of the invention: in the pipeline adjustment module, the secondary verification is further included, and the secondary verification specifically includes the following steps:
defining a non-retention process between the last process and the adjustment process as a test process;
adding stations for each retention procedure according to the adjustment quantity S, starting a production line to produce, and obtaining the deviation quantity of the production plan at the moment;
When the deviation of the production plan is smaller than or equal to a preset floatable value, judging that the inspection is qualified, and continuously producing by a production line;
When the deviation of the production plan is larger than a preset floatable value, judging that the inspection is unqualified, acquiring the adjacent difference of the inspection process, screening the detention process from the adjacent difference, calculating the adjustment quantity of the station number of the detention process, and adjusting according to the adjustment quantity.
The application has the beneficial effects that: in the application, each retention process on the production line is firstly screened, wherein the retention process refers to the condition that the working efficiency is lower than that of the previous process, so that the products are accumulated in the process; in this case, the worker involved in the retention step obviously cannot cope with the production efficiency requirement of the production line, and therefore, a targeted adjustment is required. The specific adjustment process is divided into two parts, wherein the first part is the adjustment for the screened retention process, because the working efficiency of the retention process is the maximum working efficiency and can not meet the requirement of a production line, while the non-retention process can realize the complete treatment of the output of the previous process, but the maximum working efficiency is in an unknown state; therefore, in the scheme, the retention process is treated, and the specific treatment mode is to select the adjustment range of the retention process by referring to the difference between the reference actual output and the planned feeding, and adjust the retention process on the premise of reaching the planned feeding standard; in the second part, the retention procedure is adjusted, then the test production process of the production line is carried out, the treatment process of the first part is repeated, the non-retention procedure in the first part is checked, and the adjustment is carried out during retention, so that the timely adjustment after the production efficiency change is carried out when the flow of production line personnel is achieved.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a manufacturing execution management system based on the internet of things.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a manufacturing execution management system based on the internet of things, comprising the following steps:
Historical data statistics module: numbering each procedure according to the production flow of the production line, and counting the number of stations corresponding to each procedure under the current time node;
And a data acquisition module: setting an acquisition period, acquiring the working efficiency of each working procedure in the acquisition period, and calculating the average station efficiency P i=Ki/Si of each working procedure, wherein K i represents the working efficiency of the i th working procedure, and S i represents the number of stations corresponding to the i-th working procedure under the current time node;
And a data processing module: calculating an adjacent difference according to the working efficiency of the adjacent working procedures, and acquiring a retention working procedure in the production flow through the adjacent difference; calculating a production plan deviation according to the feeding amount of the first working procedure and the output amount of the last working procedure;
and the assembly line adjusting module is used for: and analyzing the adjustment quantity of the number of stations corresponding to each detention procedure according to the production plan deviation, detention procedure, average station efficiency and adjacent difference.
It is understood from common knowledge that when a worker moves his job due to his job, the worker needs to arrange a new employee for replacement at his original post; when new staff is more skilled in working procedures, the working efficiency is higher or the working efficiency is not greatly different from that of the original workers, the normal operation of the production line is not greatly influenced, and the processing can be temporarily omitted; and when new staff has limited process proficiency and lower working efficiency, the production line can be greatly influenced, and especially when a plurality of stations on the production line are replaced, the accumulated influence can cause negative effects on normal production.
In the application, each retention process on the production line is firstly screened, wherein the retention process refers to the condition that the working efficiency is lower than that of the previous process, so that the products are accumulated in the process; in this case, the worker involved in the retention step obviously cannot cope with the production efficiency requirement of the production line, and therefore, a targeted adjustment is required. The specific adjustment process is divided into two parts, wherein the first part is the adjustment for the screened retention process, because the working efficiency of the retention process is the maximum working efficiency and can not meet the requirement of a production line, while the non-retention process can realize the complete treatment of the output of the previous process, but the maximum working efficiency is in an unknown state; therefore, in the scheme, the retention process is treated, and the specific treatment mode is to select the adjustment range of the retention process by referring to the difference between the reference actual output and the planned feeding, and adjust the retention process on the premise of reaching the planned feeding standard; in the second part, the retention procedure is adjusted, then the test production process of the production line is carried out, the treatment process of the first part is repeated, the non-retention procedure in the first part is checked, and the adjustment is carried out during retention, so that the timely adjustment after the production efficiency change is carried out when the flow of production line personnel is achieved.
In a preferred embodiment of the invention, calculating said production plan deviation comprises: the production plan deviation Δq=qs-Qc is calculated by taking the frequency of the raw material fed to the first step as the feed amount Qs and the work efficiency of the last step as the output amount Qc.
In a preferred embodiment of the present invention, in the data processing module, the specific steps for acquiring the retention process segment are as follows:
Acquiring the working efficiency K n and K n+1 of the adjacent working procedure n and working procedure n+1, wherein n is more than or equal to 1;
calculating the adjacent difference delta K n+1=Kn-Kn+1 of the process n+1;
When the adjacent difference Δk n =0, the determination step n+1 is not a retention step;
when the adjacent difference Δk n > 0, the determination step n+1 is a retention step.
In a preferred embodiment of the invention, in the data processing module, the first process step has a neighbor difference Δk 1=Qs-K1.
In a preferred embodiment of the present invention, the feeding amount is formulated according to a production plan, and the formulation method includes: obtaining a production plan of a current production period, and obtaining a planned output and production time according to the production plan; and setting feeding amount according to the planned output and the production time.
In a preferred embodiment of the present invention, in the pipeline adjustment module, the specific steps for calculating the adjustment amount of the number of stations are as follows:
Obtaining a production plan deviation delta Q, and judging whether the production plan deviation meets constraint conditions, wherein the constraint is as follows: ΔQ is less than or equal to Q, Q epsilon (0, 0.12 qs); q represents a preset floatable value;
When the production plan deviation delta Q meets constraint conditions, the first m retention procedures are sequentially selected from the last procedure as a starting point to serve as adjustment procedures until m meets constraint:
∑ΔK≤ΔQ；
（∑ΔK）'≥ΔQ；
wherein ΣΔk represents the sum of adjacent differences of the previous m-1 retention steps; (ΣΔk)' represents the sum of adjacent differences of the first m retention steps;
acquiring information of the adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K max -K)/P, wherein K max represents the maximum value of working efficiency in the first m retention procedures, K represents the working efficiency of the adjustment procedures, and P represents the average station efficiency of the adjustment procedures;
Stations are added for each retention process according to the adjustment quantity S.
In a preferred embodiment of the present invention, when the production plan deviation Δq does not satisfy the constraint condition, the working efficiency of each retention process is obtained and retention processes with a number equal to or greater than (Qs-Q) are selected, the last retention process is used as a starting process, and all retention processes from the starting process to the last process are obtained as adjustment processes;
acquiring information of adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K q -K)/P, wherein K q represents working efficiency of a starting procedure, K represents working efficiency of the adjustment procedure, and P represents average station efficiency of the adjustment procedure;
Stations are added for each retention process according to the adjustment quantity S.
In a preferred embodiment of the present invention, the pipeline adjustment module further includes a secondary check, where the secondary check specifically includes the following steps:
defining a non-retention process between the last process and the adjustment process as a test process;
adding stations for each retention procedure according to the adjustment quantity S, starting a production line to produce, and obtaining the deviation quantity of the production plan at the moment;
When the deviation of the production plan is smaller than or equal to a preset floatable value, judging that the inspection is qualified, and continuously producing by a production line;
When the deviation of the production plan is larger than a preset floatable value, judging that the inspection is unqualified, acquiring the adjacent difference of the inspection process, screening the detention process from the adjacent difference, calculating the adjustment quantity of the station number of the detention process, and adjusting according to the adjustment quantity.
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 (3)

1. The manufacturing execution management system based on the internet of things is characterized by comprising:
Historical data statistics module: numbering each procedure according to the production flow of the production line, and counting the number of stations corresponding to each procedure under the current time node;
And a data acquisition module: setting an acquisition period, acquiring the working efficiency of each working procedure in the acquisition period, and calculating the average station efficiency P i=Ki/Si of each working procedure, wherein K i represents the working efficiency of the ith working procedure, and S i represents the number of stations corresponding to the ith working procedure under the current time node;
And a data processing module: calculating an adjacent difference according to the working efficiency of the adjacent working procedures, and acquiring a retention working procedure in the production flow through the adjacent difference; calculating a production plan deviation according to the feeding amount of the first working procedure and the output amount of the last working procedure;
and the assembly line adjusting module is used for: analyzing the adjustment quantity of the station number corresponding to each detention procedure according to the production plan deviation, detention procedure, average station efficiency and adjacent difference;
in the assembly line adjusting module, the specific steps for calculating the adjustment amount of the station number are as follows:
Obtaining a production plan deviation delta Q, and judging whether the production plan deviation meets constraint conditions, wherein the constraint is as follows: ΔQ is less than or equal to Q, Q epsilon (0, 0.12 qs); q represents a preset floatable value;
When the production plan deviation delta Q meets constraint conditions, the first m retention procedures are sequentially selected from the last procedure as a starting point to serve as adjustment procedures until m meets constraint:
∑ΔK≤ΔQ；
（∑ΔK）'≥ΔQ；
wherein ΣΔk represents the sum of adjacent differences of the previous m-1 retention steps; (ΣΔk)' represents the sum of adjacent differences of the first m retention steps;
acquiring information of the adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K max -K)/P, wherein K max represents the maximum value of working efficiency in the first m retention procedures, K represents the working efficiency of the adjustment procedures, and P represents the average station efficiency of the adjustment procedures;
Adding stations for each detention procedure according to the adjustment quantity S;
When the production plan deviation delta Q does not meet the constraint condition, the working efficiency of each detention process is obtained, detention processes with the number more than or equal to (Qs-Q) are screened out, the detention process with the last number is used as a starting process, and all detention processes from the starting process to the last process are used as adjustment processes;
acquiring information of adjustment procedures, and respectively calculating adjustment amounts of the first m retention procedures as S= (K q -K)/P, wherein K q represents working efficiency of a starting procedure, K represents working efficiency of the adjustment procedure, and P represents average station efficiency of the adjustment procedure;
Adding stations for each detention procedure according to the adjustment quantity S;
Calculating the production plan deviation includes: calculating a production plan deviation delta Q=qs-Qc by taking the feeding frequency of the raw materials fed to the first process as a feeding quantity Qs and the working efficiency of the last process as a yield Qc;
In the data processing module, the specific steps for acquiring the retention process section are as follows:
Acquiring the working efficiency K n and K n+1 of the adjacent working procedure n and working procedure n+1, wherein n is more than or equal to 1;
calculating the adjacent difference delta K n+1=Kn-Kn+1 of the process n+1;
When the adjacent difference Δk n =0, the determination step n+1 is not a retention step;
when the adjacent difference delta K n is more than 0, the judgment process n+1 is a detention process;
in the data processing module, the adjacent difference Δk 1=Qs-K1 of the first process is equal.
2. The manufacturing execution management system based on the internet of things according to claim 1, wherein the feeding amount is formulated according to a production plan, and the formulation method comprises: obtaining a production plan of a current production period, and obtaining a planned output and production time according to the production plan; and setting feeding amount according to the planned output and the production time.
3. The manufacturing execution management system based on the internet of things of claim 1, wherein the pipeline adjustment module further comprises a secondary check, the secondary check specifically comprises the following steps:
defining a non-retention process between the last process and the adjustment process as a test process;
adding stations for each retention procedure according to the adjustment quantity S, starting a production line to produce, and obtaining the deviation quantity of the production plan at the moment;
When the deviation of the production plan is smaller than or equal to a preset floatable value, judging that the inspection is qualified, and continuously producing by a production line;
When the deviation of the production plan is larger than a preset floatable value, judging that the inspection is unqualified, acquiring the adjacent difference of the inspection process, screening the detention process from the adjacent difference, calculating the adjustment quantity of the station number of the detention process, and adjusting according to the adjustment quantity.
CN202410324691.4A 2024-03-21 2024-03-21 Manufacturing execution management system based on Internet of things Active CN117952396B (en)

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CN101770615A (en) * 2010-01-25 2010-07-07 重庆大学 Steelmaking-continuous casting production operation plan and real-time dispatching optimization method and system based on mixed intelligent optimization algorithm
JP2013045308A (en) * 2011-08-24 2013-03-04 Mitsubishi Heavy Ind Ltd Construction progress management support system and method
CN102750617A (en) * 2012-06-26 2012-10-24 苏州纳华美纳米科技有限公司 Garment sewing production procedure arranging method
CN103197623B (en) * 2013-03-04 2015-09-23 张舒 A kind of streamline method for managing and monitoring and device

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Publication number Priority date Publication date Assignee Title
CN101403911A (en) * 2008-06-11 2009-04-08 江苏华瑞国际实业集团有限公司 Method for improving operation efficiency of clothing tailoring workshop
CN117236582A (en) * 2023-07-31 2023-12-15 青岛鹏海软件有限公司 Rolling planning method and system for intelligent manufacturing and electronic equipment

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