CN111754114A - Lean manufacturing execution system - Google Patents
Lean manufacturing execution system Download PDFInfo
- Publication number
- CN111754114A CN111754114A CN202010587630.9A CN202010587630A CN111754114A CN 111754114 A CN111754114 A CN 111754114A CN 202010587630 A CN202010587630 A CN 202010587630A CN 111754114 A CN111754114 A CN 111754114A
- Authority
- CN
- China
- Prior art keywords
- model
- production
- module
- management
- management module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 146
- 238000007726 management method Methods 0.000 claims description 121
- 238000007689 inspection Methods 0.000 claims description 28
- 238000000034 method Methods 0.000 claims description 28
- 230000008569 process Effects 0.000 claims description 26
- 239000000463 material Substances 0.000 claims description 21
- 238000012544 monitoring process Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012545 processing Methods 0.000 claims description 4
- 238000001514 detection method Methods 0.000 description 45
- 238000007639 printing Methods 0.000 description 16
- 238000005520 cutting process Methods 0.000 description 14
- 238000012423 maintenance Methods 0.000 description 12
- 238000010030 laminating Methods 0.000 description 9
- 238000010586 diagram Methods 0.000 description 8
- 239000003292 glue Substances 0.000 description 8
- 238000004806 packaging method and process Methods 0.000 description 7
- 239000000123 paper Substances 0.000 description 7
- 238000005070 sampling Methods 0.000 description 5
- 230000008859 change Effects 0.000 description 4
- 239000002994 raw material Substances 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 3
- 230000007547 defect Effects 0.000 description 3
- 238000005265 energy consumption Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 238000011156 evaluation Methods 0.000 description 3
- 238000013439 planning Methods 0.000 description 3
- 238000003860 storage Methods 0.000 description 3
- 239000002699 waste material Substances 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
- 238000004026 adhesive bonding Methods 0.000 description 2
- 238000012550 audit Methods 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 239000010410 layer Substances 0.000 description 2
- 238000004080 punching Methods 0.000 description 2
- 230000001502 supplementing effect Effects 0.000 description 2
- 238000013068 supply chain management Methods 0.000 description 2
- 238000011179 visual inspection Methods 0.000 description 2
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 238000005452 bending Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013145 classification model Methods 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000013210 evaluation model Methods 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 239000011229 interlayer Substances 0.000 description 1
- 235000012054 meals Nutrition 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 239000011087 paperboard Substances 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 238000000275 quality assurance Methods 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
- 238000013179 statistical model Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
- 230000007306 turnover Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 238000005406 washing Methods 0.000 description 1
Images
Classifications
-
- 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
- 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
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
-
- 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Tourism & Hospitality (AREA)
- Theoretical Computer Science (AREA)
- Operations Research (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Development Economics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- General Health & Medical Sciences (AREA)
- Automation & Control Theory (AREA)
- Data Mining & Analysis (AREA)
- Manufacturing & Machinery (AREA)
- Primary Health Care (AREA)
- Game Theory and Decision Science (AREA)
- Computing Systems (AREA)
- Medical Informatics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- General Factory Administration (AREA)
Abstract
The invention discloses a lean manufacturing execution system, which comprises an acquisition control system, an MES system and a cloud service system, wherein the acquisition control system is used for acquiring operation data of each production device in a production workshop and sending the acquired operation data to the cloud service system; the cloud service system is used for providing relevant models of all production equipment in the production workshop, modeling the received operation data or substituting the received operation data into the corresponding relevant models for operation so as to judge the operation condition of all the production equipment, and sending the judged operation condition to the MES system; and the MES system is used for providing operation control of each production device in the production workshop and displaying the received operation condition. The Lean manufacturing execution system (Lean-MES) can save the time for maintaining the equipment and avoid data errors or misrepresentation of data by staff.
Description
Technical Field
The invention relates to the field of digital factories, in particular to a Lean manufacturing execution system (Lean-MES).
Background
The MES system (manufacturing execution system) is positioned between a plan management system at the upper layer and an industrial control at the bottom layer, and is a management information system facing the vehicle interlayer, which provides plan execution, tracking and the current state of all resources (people, equipment, materials, customer requirements and the like) for operators/managers, can integrate management functions such as production scheduling, product tracking, quality control, equipment fault analysis, network report forms and the like on a unified platform, and can simultaneously provide workshop management information services for production departments, quality inspection departments, process departments, logistics departments and the like by using a unified database and connecting through a network.
Data of an existing MES system are manually collected and input, and a series of problems can be caused by the fact that staff cannot collect data timely and have problems of false alarm, false report and the like, for example, equipment is not maintained timely, and equipment fault conditions are judged wrongly.
Disclosure of Invention
To overcome the above-mentioned deficiencies of the prior art, the present invention provides a Lean manufacturing execution system (Lean-MES) that can save the time for maintaining the equipment and avoid data errors or misreading of data by employees.
The technical problem to be solved by the invention is realized by the following technical scheme:
a lean manufacturing execution system comprises an acquisition control system, an MES system and a cloud service system, wherein
The acquisition control system is used for acquiring the operation data of each production device in the production workshop and sending the acquired operation data to the cloud service system;
the cloud service system is used for providing relevant models of all production equipment in the production workshop, modeling the received operation data or substituting the received operation data into the corresponding relevant models for operation so as to judge the operation condition of all the production equipment, and sending the judged operation condition to the MES system;
and the MES system is used for providing operation control of each production device in the production workshop and displaying the received operation condition.
Further, the acquisition control system comprises an acquisition module, a bus module, a center box and a network module server, wherein
The acquisition module is used for acquiring the operation data of each production device in the production workshop;
the bus module is used for connecting the acquisition module to the central box so as to transmit data between the acquisition module and the central box;
the center box is used for sending the received operation data to the cloud service system and controlling the acquisition module according to the instruction of the MES system;
the network module is used for connecting the center box to the cloud service system so as to transmit data in the center box and the cloud service system.
Further, the cloud service system is based on an Alice cloud platform.
Further, the cloud service system is provided with a basic system model for providing various relevant models related to production management and a data analysis and statistics system model for providing various relevant models related to data analysis processing.
Further, the basic system model comprises one or more of an equipment model, a scheduling model, a two-dimensional code tracing model, a product model, a process model, a material management model, an order model, a storage model, a supplier model and a coding model.
Further, the data analysis and statistics system model comprises one or more of a monitoring model, a message early warning model, a quality inspection model, a billboard model and an OEE statistics model.
Further, the MES system manages the production operation of the production plant based on the relevant model of the cloud service system.
Further, the MES system comprises one or more of an order management module, a product management module, a material management module, a plan physical control management module, a production execution module, a warehousing inventory management module, a basic management module, a knowledge management module, a message early warning management module, a seal chat machine management module, a seal chat mobile phone management module, an analysis statistics management module, an equipment management module and a monitoring management module.
And the visual detection system comprises detection cameras arranged on all the production equipment and is used for visually detecting the production flow and the products of all the production equipment.
Further, the MES system comprises a display system connected with the MES system and used for displaying the production condition of the production workshop.
The invention has the following beneficial effects: the lean manufacturing execution system can automatically acquire the operation data of each production device, carries out modeling or calculation in the cloud service system according to the operation data of each production device or substitutes the operation data into a corresponding relevant model, finally displays the operation condition of each production device at the judgment part through the MES system, and technicians directly maintain the corresponding production devices according to the operation condition or error codes and the like displayed by the MES system, so that the equipment maintenance time is saved, and meanwhile, data errors or false reporting data of staff misreport are avoided.
Drawings
FIG. 1 is a schematic diagram of a lean manufacturing execution system provided by the present invention;
FIG. 2 is a schematic diagram of an acquisition control system provided by the present invention;
FIG. 3 is a schematic diagram of a cloud service system provided by the present invention;
FIG. 4 is a logic diagram of a cloud service system provided by the present invention;
fig. 5 is a schematic diagram of a technical scenario of a cloud service system provided in the present invention;
FIG. 6 is a technical association diagram of a cloud service system provided by the present invention;
FIG. 7 is a schematic diagram of a security operations center of a cloud service system provided by the present invention;
FIG. 8 is a schematic diagram of an MES system provided in the present invention;
fig. 9 is a schematic view of an inspection process of the vision inspection system according to the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
As shown in FIG. 1, a Lean manufacturing execution system (Lean-MES) comprises an acquisition control system, an MES system and a cloud service system, wherein
The acquisition control system is used for acquiring the operation data of each production device in the production workshop and sending the acquired operation data to the cloud service system;
the cloud service system is used for providing relevant models of all production equipment in the production workshop, modeling the received operation data or substituting the received operation data into the corresponding relevant models for operation so as to judge the operation condition of all the production equipment, and sending the judged operation condition to the MES system;
and the MES system is used for providing operation control of each production device in the production workshop and displaying the received operation condition.
The lean manufacturing execution system can automatically acquire the operation data of each production device, carries out modeling or calculation in the cloud service system according to the operation data of each production device or substitutes the operation data into a corresponding relevant model, finally displays the operation condition of each production device at the judgment part through the MES system, and technicians directly maintain the corresponding production devices according to the operation condition or error codes displayed on an operation interface of the MES system, so that the equipment maintenance time is saved, and meanwhile, data errors or misreport data of staff are avoided.
The lean manufacturing execution system can be used in production workshops of various factories. For convenience of description, the lean manufacturing execution system in this document is described in detail below by taking a printing and packaging plant as an example, and the production equipment used by the printing and packaging plant includes, but is not limited to, a printing machine, a die cutting machine, a film laminating machine, a window pasting machine, a box pasting machine, and the like.
As shown in fig. 2, the acquisition control system comprises an acquisition module, a bus module, a central box and a network module server, wherein
The acquisition module is used for acquiring the operation data of each production device in the production workshop;
the bus module is used for connecting the acquisition module to the central box so as to transmit data between the acquisition module and the central box;
and the center box is used for sending the received operation data to the cloud service system and controlling the acquisition module according to the instruction of the MES system.
The network module is used for connecting the center box to the cloud service system so as to transmit data in the center box and the cloud service system.
According to the number of the production equipment, the number of the center boxes can be one or more, when the number of the center boxes is more than one, the network module can be composed of a plurality of routers, one router corresponds to one or more center boxes, the plurality of routers are connected to form a local area network, and finally, the local area network is accessed to an external network to be connected with the cloud service system.
In this embodiment, the acquisition module includes a counting module, a quality inspection module and a module changing module; the technical module is used for acquiring quantity information of each production device, such as running times, yield and the like, and can be realized by counting the times of working, stopping, idling and the like of each production device by installing a photoelectric sensor on each production device; the quality inspection module is used for acquiring sampling information of each production device, such as the quantity and density of sampling samples, and can be realized by additionally arranging a cylinder sensor on a sampling cylinder of each production device according to the condition of the cylinder and a detection signal; the die change module is used for acquiring die change information of each production device, such as die change time, and can be realized by additionally arranging a cylinder sensor on a die change cylinder of each production device according to the working time of the cylinder.
The quality inspection module is mainly applied to a printing machine and a die cutting machine, and the counting module and the die changing module can be applied to all production equipment.
According to different requirements, the acquisition module can further comprise: a state module and an energy consumption module; the state module is used for acquiring state information of each production device, such as shutdown, fault, work, startup and shutdown, waiting and the like, and can be realized by performing point picking identification on the state information displayed by the display panel on each production device; the energy consumption module is used for acquiring energy consumption information of each production device, such as power consumption, gas consumption or oil consumption, and can be realized by additionally arranging an electric meter, a gas meter or an oil pressure meter on each production device.
The acquisition control system can also comprise a warning control module and an intelligent hardware module; the warning control module comprises various warning controllers arranged on various production devices, such as a four-color alarm lamp, an electric bell, a buzzer, a call button, a DO controller and the like; the intelligent hardware module comprises various intelligent hardware arranged on each production device, such as a code scanner, a paper inserter, a water feeder, a glue feeder, a tray management RFID, a label printing device, a face recognition device, a machine vision device and the like.
The warning control module and the intelligent hardware module are connected to the central box through the bus module so as to transmit data with the central box, and the central box uploads the data of the warning control module and the data of the intelligent hardware module to the cloud service system and controls the warning control module and the intelligent hardware module under the instruction of the MES system.
As shown in fig. 3, the cloud service system is based on an ari cloud platform, has a platform model PaaS, and is provided with a basic system model for providing various relevant models related to production management and a data analysis and statistics system model for providing various relevant models related to data analysis processing.
Specifically, the basic system model includes one or more of an equipment model, a scheduling model, a two-dimensional code tracing model, a product model, a process model, a material management model, an order model, a storage model, a supplier model and a coding model.
The equipment model is divided into one or more of a printer model, a die cutting machine model, a film laminating machine model, a mounting machine model and a box pasting machine model according to different equipment, wherein the mounting machine model and the box pasting machine model are connected in series
The printing machine model mainly comprises a PS plate changing frequency, a mould changing difficulty degree, an eraser changing, a color sequence distribution model proportion model, a car washing frequency, an order sequence model, a standard color difference quality inspection model, a maintenance model and other related models.
The die cutting machine model mainly comprises relevant models such as die cutting plate times, plate changing difficulty, die cutting plate service life, a die cutting pressure model, a positive and negative paper detection model, a bar code mixed batch detection model and a maintenance model.
The film laminating machine model mainly comprises a glue or non-glue detection model, a film laminating temperature control model, a film laminating interval displacement model, a visual film laminating quality inspection monitoring model, a maintenance model and other related models.
The mounting machine model mainly comprises a glue amount detection model, a mounting pressure detection model, a gauge parameter model, a maintenance model and other related models.
The box pasting machine model mainly comprises a glue amount detection model, a visual detection control model, a waste-rejecting paper inserting control model, a box pasting single changing difficulty degree, a bar code mixed batch model, an automatic glue adding model, a maintenance model and other related models.
The product model can be divided into one or more of carton model, color box model, medicine packaging model and wine packaging according to different products, wherein
The carton model mainly comprises a process flow model, a raw material type model, a paper product related supplier, a key production index model, a quality detection parameter model and other related models.
The color box model mainly comprises a printing key model, a key process model and other related models.
The medicine packaging model mainly comprises basic process parameter modeling, order version number conversion modeling and other related models.
The wine packaging model mainly comprises product component bom modeling, key production index modeling, component parameter modeling, assembly integration assembly line modeling and other related models.
In addition, the order model mainly comprises an order customer level, an order material product model, an order cost evaluation model, an order priority evaluation production model and other related models.
The supplier model mainly comprises a supplier ring price model, a raw and auxiliary material light and busy season modeling, a supplier grade model, an inventory purchasing proportion model and other related models.
The physical control management model mainly comprises a staff team weak and busy season scheduling model, a production plan index model, a material model, a supplier price ratio model, a purchasing system modeling and other related models.
The storage model mainly comprises related models such as modeling of the turnover rate of the stock of the raw materials, modeling of the price stock of the ring ratio raw materials, modeling of the warning value of the stock and the like.
The scheduling model mainly comprises relevant models such as manual scheduling modeling setting, offset scheduling modeling setting, other process sequence scheduling models, process association models, equipment association multi-process models and the like.
The process model mainly comprises a process parameter model production process route model, a key index model, a process classification model and other relevant models.
The coding model mainly comprises a product coding model, an order coding model, a supplier coding model, a purchasing coding model, a warehousing coding model, a raw material coding modeling model, an auxiliary material coding modeling model, a device coding model, a workshop coding modeling model, a personnel coding modeling model, a work order coding modeling model, an execution work order coding model, a die cutting blade coding modeling model, a printing PS coding modeling model and other related models.
The two-dimension code tracing model mainly comprises a finished product two-dimension code tracing modeling model, a process tray two-dimension code tracing modeling model, a work order management two-dimension code tracing modeling model, a material two-dimension code tracing modeling model, a quality inspection bar code tracing modeling model, a user seal chat two-dimension code and other related models.
The data analysis and statistics system model comprises one or more of a monitoring model, a message early warning model, a quality inspection model, a billboard model and an OEE statistics model.
Specifically, the monitoring model mainly comprises related models such as equipment real-time parameter modeling, work order real-time parameter modeling, waste real-time parameter modeling, inventory real-time parameter modeling, personnel attendance real-time parameter modeling and the like.
The message early warning model mainly comprises a subscription type service model, an order subscription progress service, an early warning level model, a preset range model, an equipment early warning parameter modeling, an order early warning parameter modeling, a maintenance plan early warning modeling, a call early warning modeling, a waste parameter early warning modeling, a shutdown fault early warning modeling, a popup window, a call elimination modeling and other related models.
The quality inspection model mainly comprises a quality detection model, a process associated quality inspection modeling, an equipment associated quality inspection model, a quality inspection control modeling, a detection post model and other related models.
The billboard model mainly comprises a billboard position modeling parameter, a billboard statistical data parameter modeling, a custom layout modeling, different hardware parameter modeling, a role post modeling and other related models.
The OEE statistical model mainly comprises a shutdown fault parameter model, an equipment conventional type modeling, a normal operation parameter modeling, a reporting association model, a waste type model, a maintenance duration model, a meal, a rest, a meeting, a training parameter modeling, an equipment standard speed per hour modeling and other related models.
The cloud service system may further provide one or more of a factory floor layout model, a production management model, a financial management model, a plan management model, and a sales management model.
As shown in fig. 4-7, the cloud service system implements product quality supervision and digitization based on the internet of things, a block chain and an information security technology, applies various internet of things security technology capabilities, performs end-to-end protection and secure transmission on data acquired by IoT equipment, comprehensively guarantees data security from a data source to the block chain, ensures reliable, credible and secure data of a full link, realizes data acquisition of the full link with credible data support, comprehensively covers management from product evaluation standards, detection application benchmarking management, real-time detection execution, multi-party verification management of detection results and other stages, guarantees that standards are strictly executed by all levels of evaluation parties and in-plant consistency index operators, and guarantees product consistency, quantity supervision range and efficiency maximization.
The MES system also manages the production operation of the production shop based on the relevant model of the cloud service system, as shown in fig. 8, and includes one or more of an order management module, a product management module, a material management module, a plan physical control management module, a production execution module, a warehousing inventory management module, a base management module, a knowledge management module, a message early warning management module, a seal chat machine management module, a seal chat mobile phone management module, an analysis statistics management module, an equipment management module, and a monitoring management module.
Specifically, the order management mainly includes selling and ordering, order auditing, ERP order importing, batch management and the like.
The product management mainly comprises product creation, process flow setting, process parameters, BOM component management, product material management, quality inspection parameter management, process loss setting, process difficulty and easiness setting and the like.
The material management module mainly comprises material classification management, stock early warning, material return management, material purchasing plan, material warehousing management, material suppliers, material bar code management, ERP inventory interface and the like.
The planning and physical control management module mainly comprises planning production management, product technology audit, inventory material audit, order batch issuing and the like.
The production management module mainly comprises scheduling management, execution progress checking, workshop equipment association, OEE parameter setting, equipment scheduling checking and the like.
The production execution module mainly comprises order receiving management, production process management, OEE interactive statistics, mode changing setting, shutdown type setting, production reporting management, semi-product query and the like.
The warehousing inventory management module mainly comprises finished product warehousing management, warehouse location management, purchasing warehousing management and the like.
The basic management module mainly comprises personnel management, authority menu management, center box management, process management, class and group management and the like.
The knowledge management module mainly comprises article publishing management, video publishing management, classified column management, comment sharing management and the like.
The message early warning management module mainly comprises notification service management, machine notification management, chat record query, mobile phone notification reception, shutdown early warning management, quality inspection early warning management, call message management and the like.
The seal chat machine management module mainly comprises shutdown early warning management, machine quality inspection management, equipment maintenance management, binding screen management, production reporting management, machine code scanning order receiving, quick die changing, personnel code scanning registration and the like.
The seal chat mobile phone management module mainly comprises employee card punching, employee attendance management, employee card supplementing management, knowledge display management, video sharing operation, equipment real-time state, OEE performance analysis, mobile phone code scanning and order receiving, mobile phone work order reporting, seal chat message notification and the like.
The analysis and statistics management module mainly comprises OEE statistics, order achievement rate, order OEE statistics, personnel performance management, utilization rate statistical analysis, order completion progress, process execution progress and the like.
The equipment management module mainly comprises equipment information management, equipment binding box (central box) management, equipment maintenance management, maintenance type management and the like.
The monitoring management module mainly comprises equipment state monitoring, order state monitoring, subscription type reminding, achievement rate reminding and the like.
The MES system also comprises an API interface management module which is used for being accessed by software systems such as an ERP system (an enterprise resource planning system), a CRM system (a customer relationship management system), an SCM system (a supply chain management system), a PMC system (a production and logistics control system), nails, seal chatting and the like so as to realize the input of orders, personnel, product-parts, department workshops, team shifts, processes, equipment management and the like and the output of real-time equipment state, current order execution state, instant information feedback, current equipment scheduling and the like.
The chatting printing terminal software developed by the applicant can be installed on a mobile phone or a machine (PC), is a cooperative office software similar to a nail of the Ali company, and is used for employee card punching, employee attendance checking, employee card supplementing, knowledge display, video sharing operation, real-time equipment state, OEE performance analysis, mobile phone code scanning and receipt, mobile phone work order reporting, chatting printing message notification and the like.
Each management module of the MES system adopts pluggable flexible deployment, so that a user can increase, reduce, move or replace the corresponding management module according to actual requirements.
The MES system takes the quality advantage as an entry point, relies on credible data of each stage of the product standard-penetrating system, improves the approval of customers on the product quality, improves the depth and the breadth of quality supervision, realizes the networking real-time performance of the product quality supervision, reduces the supervision cost, improves the supervision efficiency, ensures that the flexible supervision is practically deep into each stage of the product quality life cycle, guides enterprises to make great efforts from the manufacturing to the quality manufacturing process, and simultaneously meets social attention. Real-time performance, flexible supervision and quality assurance are principles.
The exquisite manufacturing system also comprises a visual inspection (eagle eye) system connected with the MES system, wherein the visual inspection system comprises inspection cameras arranged on all production equipment and is used for visually inspecting the production flow and products of all the production equipment.
As shown in FIG. 9, in the color box production line, the detection camera on the printing machine of the printing department automatically shoots the sample in the production process to complete the sample sampling, the detection camera on the film laminating machine of the film laminating department automatically shoots the sample in the production process to complete the area full inspection and the large defect detection of the front and back paper, the detection camera on the die cutting machine of the die cutting department automatically shoots the sample in the production process to complete the area full inspection and the large defect detection of the front and back paper, the detection camera on the window pasting machine of the window pasting department automatically shoots the sample in the production process to complete the area full inspection and the large defect detection of the front and back paper, the detection camera on the box pasting machine of the box pasting department automatically shoots the sample in the production process, to complete mixed batch full inspection and three gluing positions full inspection; for example, on a carton production line, a detection camera on a line touching machine of a paperboard line touching department automatically shoots a sample to complete line pressing full detection and line touching detection, a detection camera on a water ink printing machine of a water ink printing department automatically shoots the sample to complete image-text full detection and online carton full detection, a detection camera on a die cutting machine of a die cutting department automatically shoots the sample in the production process to complete comprehensive detection and die cutting deviation detection, and a detection camera on a box pasting machine of a box pasting department automatically shoots the sample in the production process to complete horn mouth and gluing full detection, local bending deviation detection and glue quantity detection.
The visual detection system comprises but is not limited to detection functions such as large-size detection of a printing machine, gold stamping control, deviation detection of a die cutting machine, line collision detection, glue amount detection of a box pasting machine, detection of a film laminating machine and the like, and the detection process mainly comprises the following steps: 1. the method comprises the following steps of inputting parameters such as product and detection size, tolerance range and hardware preparation, 2 sending camera sampling flows such as shooting instruction, sample picture reading and sample picture processing, 3 camera learning flows such as comparison test and comparison result displaying, 4 system comparison flows such as startup production, system comparison and judgment and instruction sending, and 5 data transmission flows such as data statistics, data storage and data transmission.
The exquisite manufacturing system also comprises a display system connected with the MES system and used for displaying the production condition of the production workshop; the display system comprises a plurality of display screens which are distributed at different positions according to different display contents, such as a boss screen, a workshop command screen, a workshop process screen and an equipment hanging screen; the boss screen is mainly used for displaying the integral production condition of the whole packaging and printing factory; the workshop command screen is mainly used for displaying the production scheduling condition of the whole workshop; the workshop process screen is mainly used for displaying the process conditions of workshop production; the equipment hanging screen is arranged on the corresponding production equipment and is mainly used for displaying production data such as order numbers, planned yields, actual yields, achievement rates and the like of the corresponding production equipment and production states such as shutdown, faults, work, waiting and the like.
The above-mentioned embodiments only express the embodiments of the present invention, and the description is more specific and detailed, but not understood as the limitation of the patent scope of the present invention, but all the technical solutions obtained by using the equivalent substitution or the equivalent transformation should fall within the protection scope of the present invention.
Claims (10)
1. A lean manufacturing execution system is characterized by comprising an acquisition control system, an MES system and a cloud service system, wherein
The acquisition control system is used for acquiring the operation data of each production device in the production workshop and sending the acquired operation data to the cloud service system;
the cloud service system is used for providing relevant models of all production equipment in the production workshop, modeling the received operation data or substituting the received operation data into the corresponding relevant models for operation so as to judge the operation condition of all the production equipment, and sending the judged operation condition to the MES system;
and the MES system is used for providing operation control of each production device in the production workshop and displaying the received operation condition.
2. A lean manufacturing execution system according to claim 1, wherein said acquisition control system comprises an acquisition module, a bus module, a central box and a network module server, wherein
The acquisition module is used for acquiring the operation data of each production device in the production workshop;
the bus module is used for connecting the acquisition module to the central box so as to transmit data between the acquisition module and the central box;
the center box is used for sending the received operation data to the cloud service system and controlling the acquisition module according to the instruction of the MES system;
the network module is used for connecting the center box to the cloud service system so as to transmit data in the center box and the cloud service system.
3. A lean manufacturing execution system as claimed in claim 1 wherein said cloud service system is based on an ari cloud platform.
4. A lean manufacturing execution system according to claim 1, wherein said cloud service system is provided with a basic system model for providing various correlation models related to production management and a data analysis and statistical system model for providing various correlation models related to data analysis processing.
5. A lean manufacturing execution system according to claim 4, wherein said basic system model comprises one or more of an equipment model, a scheduling model, a two-dimensional code tracing model, a product model, a process model, a material management model, an order model, a warehouse model, a supplier model and a coding model.
6. The lean manufacturing execution system of claim 4, wherein the data analysis and statistics system model comprises one or more of a monitoring model, a message pre-warning model, a quality inspection model, a kanban model, and an OEE statistics model.
7. A lean manufacturing execution system as claimed in claim 1 wherein said MES system further manages production jobs of a production plant based on a correlation model of said cloud service system.
8. A lean manufacturing execution system as claimed in claim 7, wherein said MES system comprises one or more of an order management module, a product management module, a material management module, a plan and physical control management module, a production execution module, a warehouse inventory management module, a base management module, a knowledge management module, a message pre-warning management module, a seal chat machine management module, a seal chat mobile phone management module, an analysis statistics management module, an equipment management module, and a monitoring management module.
9. A lean manufacturing execution system as claimed in claim 1 further comprising a vision inspection system connected to said MES system, said vision inspection system including inspection cameras on each production facility for visually inspecting the production flow and products of each production facility.
10. A lean manufacturing execution system as claimed in claim 1 further comprising a display system coupled to said MES system for displaying production conditions of said production shop.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010587630.9A CN111754114A (en) | 2020-06-24 | 2020-06-24 | Lean manufacturing execution system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010587630.9A CN111754114A (en) | 2020-06-24 | 2020-06-24 | Lean manufacturing execution system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111754114A true CN111754114A (en) | 2020-10-09 |
Family
ID=72677071
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010587630.9A Pending CN111754114A (en) | 2020-06-24 | 2020-06-24 | Lean manufacturing execution system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111754114A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112418709A (en) * | 2020-12-08 | 2021-02-26 | 深圳市德辉精密机械有限公司 | PMC information management system |
| CN112434972A (en) * | 2020-12-10 | 2021-03-02 | 四川长虹电器股份有限公司 | Bar code management system and method based on WEB |
| CN113219931A (en) * | 2021-05-27 | 2021-08-06 | 赣州科帕机电自动化有限公司 | Intelligent industrial system |
| CN113269526A (en) * | 2021-05-27 | 2021-08-17 | 山东浪潮商用系统有限公司 | Customs intelligent lock management system based on block chain |
| CN114563989A (en) * | 2022-01-28 | 2022-05-31 | 中信科移动通信技术股份有限公司 | Equipment monitoring system and method |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106600012A (en) * | 2016-12-12 | 2017-04-26 | 英业达科技有限公司 | Production line management system |
| CN108073956A (en) * | 2016-11-18 | 2018-05-25 | 北京卫星环境工程研究所 | Spacecraft based on bar code performs digital data recording system |
| CN108229782A (en) * | 2017-10-26 | 2018-06-29 | 北京航天智造科技发展有限公司 | A kind of visual production management platform based on cloud |
| CN108536100A (en) * | 2018-03-22 | 2018-09-14 | 江苏麦酷博信息科技有限公司 | Intelligent MES end stations manufacturing monitoring system |
| CN108777705A (en) * | 2018-05-17 | 2018-11-09 | 佛山海格利德机器人智能设备有限公司 | A kind of industrial intelligent manufacture system |
| CN108897283A (en) * | 2018-05-31 | 2018-11-27 | 中策橡胶集团有限公司 | A kind of mixing line data analysis processing method |
| CN109190944A (en) * | 2018-08-20 | 2019-01-11 | 国药集团重庆医药设计院有限公司 | Medicine enterprise manufactures execution system |
| EP3561746A1 (en) * | 2018-04-26 | 2019-10-30 | Kingtronics Group (Xiamen) Co. Ltd. | Global smart manufacturing, sale and service system |
| CN110636140A (en) * | 2019-10-16 | 2019-12-31 | 浙江大学软件学院（宁波）管理中心（宁波软件教育中心） | Cross-network-domain data control system and method for engraving manufacturing execution system |
| CN110658794A (en) * | 2019-09-30 | 2020-01-07 | 歌尔股份有限公司 | Manufacturing execution system |
-
2020
- 2020-06-24 CN CN202010587630.9A patent/CN111754114A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108073956A (en) * | 2016-11-18 | 2018-05-25 | 北京卫星环境工程研究所 | Spacecraft based on bar code performs digital data recording system |
| CN106600012A (en) * | 2016-12-12 | 2017-04-26 | 英业达科技有限公司 | Production line management system |
| CN108229782A (en) * | 2017-10-26 | 2018-06-29 | 北京航天智造科技发展有限公司 | A kind of visual production management platform based on cloud |
| CN108536100A (en) * | 2018-03-22 | 2018-09-14 | 江苏麦酷博信息科技有限公司 | Intelligent MES end stations manufacturing monitoring system |
| EP3561746A1 (en) * | 2018-04-26 | 2019-10-30 | Kingtronics Group (Xiamen) Co. Ltd. | Global smart manufacturing, sale and service system |
| CN108777705A (en) * | 2018-05-17 | 2018-11-09 | 佛山海格利德机器人智能设备有限公司 | A kind of industrial intelligent manufacture system |
| CN108897283A (en) * | 2018-05-31 | 2018-11-27 | 中策橡胶集团有限公司 | A kind of mixing line data analysis processing method |
| CN109190944A (en) * | 2018-08-20 | 2019-01-11 | 国药集团重庆医药设计院有限公司 | Medicine enterprise manufactures execution system |
| CN110658794A (en) * | 2019-09-30 | 2020-01-07 | 歌尔股份有限公司 | Manufacturing execution system |
| CN110636140A (en) * | 2019-10-16 | 2019-12-31 | 浙江大学软件学院（宁波）管理中心（宁波软件教育中心） | Cross-network-domain data control system and method for engraving manufacturing execution system |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112418709A (en) * | 2020-12-08 | 2021-02-26 | 深圳市德辉精密机械有限公司 | PMC information management system |
| CN112434972A (en) * | 2020-12-10 | 2021-03-02 | 四川长虹电器股份有限公司 | Bar code management system and method based on WEB |
| CN113219931A (en) * | 2021-05-27 | 2021-08-06 | 赣州科帕机电自动化有限公司 | Intelligent industrial system |
| CN113269526A (en) * | 2021-05-27 | 2021-08-17 | 山东浪潮商用系统有限公司 | Customs intelligent lock management system based on block chain |
| CN114563989A (en) * | 2022-01-28 | 2022-05-31 | 中信科移动通信技术股份有限公司 | Equipment monitoring system and method |
| CN114563989B (en) * | 2022-01-28 | 2023-12-08 | 中信科移动通信技术股份有限公司 | Equipment monitoring system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111754114A (en) | Lean manufacturing execution system | |
| CN106779406B (en) | MES system based on RFID | |
| CN107831750B (en) | IMES intelligent manufacturing execution system | |
| CN105005289B (en) | A kind of industrial platform of internet of things | |
| CN110580026A (en) | intelligent manufacturing MES system | |
| CN100468246C (en) | Real time monitoring system for production processes and monitoring method | |
| CN110599103A (en) | Production management subsystem based on intelligent manufacturing MES system | |
| CN106990761A (en) | Manufacturing enterprise's production line data acquisition and billboard management system and method | |
| CN108320069A (en) | A kind of manufacturing execution system | |
| CN107705023B (en) | Control method and system for realizing informatization and standardization of production and quality management | |
| CN103116821A (en) | Whole course tracking method and whole course tracking system of discrete manufacturing workshop production process quality | |
| CN111260332A (en) | Implementation method and system suitable for MES application of workshop in motor industry | |
| CN110796339A (en) | Intelligent chemical fiber production operation platform based on industrial internet | |
| CN105005885A (en) | Industrial automatic identification and data acquisition platform | |
| CN107067267A (en) | A kind of drink food electronics traceability system | |
| CN102262757A (en) | Advanced planning system (APS)/manufacturing execution system (MES) lean manufacturing management system | |
| CN109754227A (en) | Intelligent precise forging operation management system | |
| CN112258053B (en) | Method for producing formula food for special medical application by using manufacturing execution system | |
| CN104574024A (en) | ERP remote zero inventory supply chain management system | |
| CN107067266A (en) | A kind of dispensed food for baby electronics traceability system | |
| CN111210108A (en) | Performance management and control model of electric power material supply chain | |
| Liu et al. | Applications of RFID technology for improving production efficiency in an integrated-circuit packaging house | |
| CN109508884A (en) | A kind of manufacturing information MES system | |
| CN111915167A (en) | Intelligent manufacturing virtual shipyard information model construction method | |
| CN201741274U (en) | Dynamic data acquisition unit used in manufacture industry production process |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |