25 results about "Lean manufacturing" patented technology

The invention provides a lean production-oriented self-adaptive digital intelligent scheduling method and system, and relates to the technical field of data processing, and the method comprises the steps: taking an initial resource allocation scheme as the basis of task sequence optimization, constructing a time detection line on a time axis, detecting the overlapping condition of different tasks in an execution period, and recognizing resource conflict points; generating a preliminary scheduling plan under the condition of meeting the equipment capacity and man-hour constraint; based on multi-source data of a production site, evaluating the preliminary scheduling plan, updating scheduling parameters, and generating an optimized scheduling scheme; and converting the optimized scheduling scheme into an equipment control instruction, and transmitting the equipment control instruction to a control terminal of a production unit to complete closed-loop optimization of production resources. Reasonable adaptation and efficient scheduling of production resources can be achieved, the production efficiency is improved, and resource waste and conflicts are reduced.

The invention relates to the technical field of machining, and discloses a circular knife double-asynchronous collaborative die cutting process and equipment for a multi-glue-layer blue film structure, and the process comprises the following steps: obtaining material parameters and pattern data, and carrying out pretreatment and real-time visual alignment on the multi-glue-layer blue film structure; and the central control module operates an algorithm according to the data, generates and drives the first circular cutter die cutting unit and the second circular cutter die cutting unit to perform asynchronous collaborative die cutting, and peels off waste materials. The system comprises a material conveying module, a visual alignment module, a first circular cutter die cutting unit, a second circular cutter die cutting unit, a central control module and a waste stripping module. By the adoption of the scheme, die cutting alignment precision and efficiency are improved, material loss and production cost are reduced, traditional die cutting errors and material deformation are avoided, cutting quality is optimized, and a technical basis is provided for lean production of electronic product parts.

The invention belongs to the technical field of automobile manufacturing, and particularly discloses an intelligent flexible production scheduling method and system for automobile orders, and the method comprises the following steps: collecting order demands of a user; according to the order delivery time requirement of a user, reversely deducing production plans of a coating workshop and a welding workshop by taking the general assembly workshop as a starting point to obtain a production plan of a production line; according to the demand within a period of sales, in combination with the material arrival rhythm, the workshop capacity and the sales demand successive date factor, daily production vehicles are discharged, and according to the selected daily production vehicle distribution result and the final assembly lean production proportion requirement, constraint conditions are set, and coating production sorting and scheduling calculation are carried out; and on the basis of the scheduling, a welding vehicle queue plan is generated in combination with a coating workshop production plan in a user order demand. By adopting the technical scheme, production scheduling is carried out by using a production scheduling reverse pushing mode based on the production characteristics of the automobile orders, flexible production scheduling of the automobile orders is realized, and the efficiency is improved.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

The application relates to the technical field of intelligent manufacturing teaching and training equipment, and discloses a lean production training platform based on production big data analysis, which comprises an entity production line module, a multi-source heterogeneous data acquisition system, an edge computing and control hub and a lean production training terminal. The entity production line module is used for simulating a production operation process in a real discrete manufacturing environment. The multi-source heterogeneous data acquisition system is distributedly arranged on the entity production line module and is used for collecting multi-dimensional data in a production process in real time. Through cooperation of an industrial sensor array, a machine vision unit, an RFID (Radio Frequency Identification) unit and a data aggregation terminal, multi-dimensional data such as equipment states, process parameters and material tracking are collected in real time, millisecond-level perception of whole-factor data such as people, machines, materials, methods and environments in the production process is realized, and the problems of single data dimension and rough perception granularity of a traditional training platform are fundamentally solved, so that a rich and accurate data basis is provided for lean analysis.

The application discloses a production rhythm dynamic evaluation method and system based on multi-attribute process constraints, relates to the tobacco technical field, and is suitable for the process manufacturing scene of mixed production arrangement of multiple brands. The method solves the problems of distortion of traditional static evaluation standards, broken cross-day production data, and difficulty in quantifying process coordination efficiency, provides dynamic and accurate benchmarks for production rhythm evaluation, and supports lean production landing in a tobacco silk workshop. In the method, step S1 realizes semantic alignment of production data, guarantees production shift analysis integrity; step S2 constructs a multi-attribute process constraint system, adapts to different process production requirements; step S3 generates differentiated theoretical working hour benchmarks, eliminates systematic deviation of the evaluation system; step S4 separates time deviation interference components, improves delay judgment accuracy; step S5 realizes automatic identification of delay events, reduces manual statistical lag; and step S6 locates key links of capacity constraints, and provides quantitative basis for production scheduling optimization.

This invention provides a control method and apparatus based on a lean manufacturing system, comprising: calculating the operational maturity value of a target lean manufacturing system to identify problems to be improved; constructing manufacturing strategic goals by comparing the target factory with business objectives based on pre-built quantitative indicators; streamlining the organizational structure based on pre-built lean processes, lean organizational structure, and lean departmental functions and responsibilities; constructing a multi-level key performance indicator system and a facilitating management meeting mechanism; and finally, constructing an implementation plan and controlling the target factory according to the implementation plan to achieve the optimization goals. This invention solves the problems of high deployment costs and poor application effects in existing technologies.

The application discloses a 3D printing device for detecting and regulating integrated insulating material and an intelligent manufacturing method. The device comprises a printing module, a regulating module and a detecting module used in cooperation. The printing module comprises a moving platform, a printing tank, a screen plate, a cleaning rod and a light-curing surface light source. The regulating module comprises an electrode assembly and a regulating power supply. The detecting module comprises a laser thermal excitation assembly and an infrared thermal imager. The laser thermal excitation assembly is used for applying thermal loading to a printing sample. The infrared thermal imager collects surface temperature evolution information of the printing sample in the thermal loading process and transmits the information to a data processing system. The orientation and distribution of the thermally conductive filler are regulated by using the auxiliary effect of an electric field, and the thermal conductivity distribution state of the material is detected in real time by means of a thermal wave imaging technology. According to the detection result, the parameters of the applied electric field are dynamically adjusted, the precise closed-loop control of the distribution and orientation of the filler is realized, and thus an effective path is provided for the lean manufacturing of high-thermal-conductivity-low-loss insulating material.

The utility model discloses a raw material cleaning device for Chinese herbal medicine veterinary medicine preparation, and relates to the technical field of Chinese herbal medicine raw material cleaning, in particular to a cleaning box, a cleaning barrel is rotatably connected between the inner walls of the two sides of the cleaning box, four cleaning columns are fixedly connected in the cleaning barrel, and a cleaning groove is formed between every two adjacent cleaning columns. Four stirring shafts are rotationally connected between the inner walls of the two sides of the cleaning tank. According to the medicinal material cleaning device, medicinal materials can be stirred when being cleaned, so that the medicinal materials are in full contact with a water source, the water source washes stains on the surfaces of the medicinal materials, and the medicinal materials can be in full contact with the cleaning shaft when being stirred, so that stubborn stains on the surfaces of medicine bags are cleaned, and the cleaning quality of the medicinal materials is improved; the problems that part of existing cleaning devices are not ideal in effect, if high cleaning requirements need to be met, the cleaning speed is very low, time is consumed, and the requirement of lean production cannot be met are effectively solved.

The invention relates to the technical field of industrial Internet of Things, and discloses a user emergency insurance supply'finger singing confirmation 'digital platform system based on a component visual angle, which comprises an information acquisition module; a real-time monitoring module; a visual display module; an early warning module; the man-hour management module is used for storing and dynamically correcting the standard work man-hour of each part, and the correction is based on the deviation between the historical actual man-hour and the standard man-hour of big data mining analysis; and the collaborative confirmation module is in communication connection with the visual display module and the early warning module, and is used for distributing responsibility departments and persons in charge based on the RACI matrix for each finger singing confirmation element. According to the system, a set of efficient monitoring and early warning mechanism is established, and lean production is driven through digitization. The digital finger singing confirmation mode based on the user parts can be quickly copied and expanded to other machining centers, and has the potential of copying and popularizing user insurance supply services of other enterprises in the iron and steel manufacturing industry.

The utility model discloses plastic part detection equipment with a Type-D interface, and the plastic part detection equipment comprises vibrators, a visual test bottom, a vibrator product discharge channel, a transparent glass disc, a CCD test module, a probe, an air blowing and discharging part, a storage mechanism and a rotary motor, and the two vibrators convey products to the inner ring and the outer ring of the transparent glass disc through the product discharge channel at the same time for testing; and the tested products are conveyed to the defective product storage mechanism and the non-defective product storage mechanism for classified output. According to the invention, the defects of missing detection of a manual detection mode and confusion of different types of plastic part products are overcome, the stable detection effect of the plastic part of the Type-D interface is ensured, the detection efficiency is improved, the yield of a production line is further improved, the production operation cost can be reduced, and the goal of lean production is achieved. Under the condition that the detection quality is guaranteed, the labor cost is reduced, the operation time is short, and the operation efficiency is greatly improved.

1. Name of the designed product: Lean pipe (4.0). 2. Use of the designed product: Pipe for lean production, modular tooling and material handling system. 3. Design points of the designed product: In shape. 4. Pictures or photos that best show the design points: Design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention provides an intelligent inventory control management method and system based on a supply chain collaboration mechanism, which are applied to the technical field of supply chain management, and the method comprises the steps: receiving the preliminary demand prediction of a downstream partner, generating demand intention information containing the possibility weight of a customized part and a potential demand range according to the prediction, and carrying out the control of the demand intention information. After an upstream supplier receives demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, flexible preparation including production window soft reservation, upstream material pre-communication and special mold preparation is carried out in advance, the supply uncertainty of customized parts is effectively dealt with, and the production efficiency is improved. The problems of overstock of standard components and shortage of customized components are avoided, lean production and on-time delivery are realized, and remarkable economic benefits and competitive advantages are brought to enterprises.

The invention provides a rhythm assembly method for corrugated plates of a cargo containment system. The rhythm assembly method comprises the following steps that S1, a difficulty coefficient table is constructed according to the mounting positions and types of the corrugated plates; s2, obtaining the number, the installation positions and the specifications of corrugated plates according to a single cabin object quantity statistical table; s3, according to the single-cabin object quantity statistical table and the difficulty coefficient table, the total fraction of corrugated plate assembly of the whole cabin is generated; s4, determining the assembly standard grade capability of the corrugated plate; s5, the daily input necessary grade number of corrugated plate assembly is determined; and S6, making an engineering plan table and an assembly sequence table, and assembling the corrugated plates based on the engineering plan table and the assembly sequence table. According to the method, the standard operation mode of corrugated plate assembly can be constructed by applying the idea of lean production takt, the corresponding cost is effectively reduced by reducing the extra workload generated in a traditional assembly method, the corrugated plate assembly efficiency is improved, and the aims of improving the engineering productivity and shortening the period are finally achieved.

The application discloses a pipeline lean production management system and method, and relates to the technical field of ship manufacturing. The system solves the problems existing in the traditional production mode through workshop reconstruction and process optimization. The system adopts a hierarchical real-time control architecture, which comprises an edge computing gateway, a MES server and a data acquisition module. The edge computing gateway runs a hard real-time operating system and executes millisecond-level control logic. The MES server is arranged on a management layer, runs a general operating system, and executes second-level monitoring and historical analysis. The data acquisition module is arranged on production equipment of a core machining process of a pipeline workshop and is connected with the edge computing gateway and the MES server.

This invention relates to the field of engine component testing technology, and discloses a cylinder head airtightness testing device and method, including a control cabinet. The control cabinet is installed in a corresponding position via a support mechanism at the bottom. A shock-absorbing mechanism is provided on the top of the control cabinet, and an adaptive clamping mechanism is connected to the upper part of the shock-absorbing mechanism, realizing the integration of press-fitting and leak detection, which greatly improves the testing efficiency. By integrating the two processes of seal press-fitting and airtightness testing into one, there is no need for manual transfer of the cylinder head, and the single cycle is short. Compared with traditional separate equipment, the testing efficiency is improved. At the same time, the equipment occupies less space and consumes less energy, solving the pain points of traditional process disconnection, low efficiency and large footprint, meeting the requirements of lean production and showing significant progress. By establishing a database linking press-fitting parameters and leakage rate, the accumulated data can realize intelligent optimization of process parameters, providing data support for improving the quality of seal assembly, and has outstanding substantive features.

The invention provides a lean production grade evaluation method and system, belongs to the technical field of lean production in the manufacturing industry, and aims to improve the accuracy of lean production grade evaluation. According to the specific technical scheme, on the basis of the actual production environment, for a certain production plant area, key factors influencing production are recognized and determined, lean production evaluation indexes are determined, and a lean production index system combining a calculation type index and a conformance type index is constructed. And determining the weight of each level of index in lean production through an AHP-GA method. And collecting corresponding data of the indexes, and carrying out normalization processing. And determining the evaluation standard grade and the evaluation standard cloud of each level of index. An evaluation cloud picture is generated through a cloud generator, and a comprehensive evaluation result is defined. And lean production grades and influence production indexes are determined, and grade improvement implementation suggestions are obtained.

The invention provides a lithium ion battery voltage stabilizing table capable of saving space, which comprises a bracket, the bracket comprises at least two sections of sub-brackets, a telescopic matching structure which is telescopic to adjust the length of the whole bracket is arranged between the two sections of sub-brackets, and each sub-bracket is provided with a supporting leg; the chain plate comprises a plurality of sections of supporting plates which are connected in sequence, the chain plate is laid on the support, and at least one of the two ends of the chain plate is wound or unfolded through a winding mechanism. According to the invention, the space of a workshop can be saved by stretching the length of the lithium ion battery voltage stabilizing table according to the number of the formed batteries, the equipment investment can be reduced, and the method is a very good lean manufacturing method and a battery pack voltage stabilizing method. When the lithium ion battery voltage stabilizing table is not used, the lithium ion battery voltage stabilizing table can be contracted to the shortest state, and storage and transportation space is greatly saved. The core structure is a mechanical telescopic mechanism, the cost is controllable, popularization is easy, the telescopic adjusting process is easy to operate, and time and labor are saved.

The invention provides a ship part-level production scheduling method and system under a multi-level process chain, and the method comprises the steps: firstly, precisely recognizing the resource demands, man-hour characteristics and equipment dependence relationships of different ship type segments through the refined disassembly of a project level, a process level, a step level and a work type level; all working procedures, working steps and technological characteristics corresponding to each segment are obtained; performing multi-objective optimization on the work step operation sequence by using an intelligent algorithm such as a genetic algorithm to obtain an optimal work step operation sequence; in addition, a scheduling optimization and feedback mechanism is also established, the production progress and the equipment state are monitored in real time, and the production scheduling plan is dynamically adjusted according to the actual operation condition. According to the production scheduling method disclosed by the invention, by focusing the relevance of a multi-level process chain, the generalization limitation of a general resource scheduling scheme is broken through, and a more accurate and more landing intelligent scheduling scheme is provided for ship lean production.

The invention relates to the technical field of backlight module production, and particularly discloses assembly equipment for backlight module production, which comprises a supporting seat, two sides of the supporting seat are fixedly connected with a processing platform and a feeding platform which are symmetrical, and the top of the feeding platform is provided with a feeding assembly for automatically positioning and feeding and ensuring the positioning precision. A cleaning assembly used for achieving surface cleaning in the feeding process and guaranteeing the cleaning effect is arranged on the inner side of the supporting base, and a motor is fixedly connected to the outer side of the supporting base. Through the feeding base, automatic overturning and pasting of the diffusion plate can be achieved, the position and angle of pasting can be accurately controlled, the pasting precision of each component is ensured, errors and errors in manual operation are eliminated, rapid and accurate component pasting is achieved, the quality and consistency of products are ensured, the time and effort of manual operation are reduced, the defective rate is reduced, and the production efficiency is improved. The qualified rate of finished products is improved, the lean production concept is achieved, waste is reduced, and the process efficiency is improved.

The present application belongs to the technical field of aircraft sheet metal part processing, and relates to a manufacturing method of a "T" section variable-thickness longeron part. The present application changes the material to a "T" section profile material, uses a "numerical control milling-cutting-stamping forming-manual forming" process flow to replace a "numerical control milling-cutting-manual finishing" process flow, and cooperates with three newly designed tool sets for milling and sheet metal forming, thereby simplifying the milling clamp structure, reducing the part milling difficulty, manufacturing cost, and profile distortion, residual stress and the like in the machining process, improving the material utilization and product quality, and realizing the precise manufacturing and lean manufacturing of the "T" section variable-thickness longeron part through a simple numerical control milling-cutting and sheet metal forming combined process flow. The present application has generalizability and can be widely used in the machining and manufacturing of complex longeron parts.

The invention discloses a method for improving the turnover hoisting efficiency of a dock wall, and relates to the technical field of ship construction. In the process of building the dock wall segmented structure of the floating dock, the D-shaped lifting lug is arranged on the top of the inner dock wall of the dock wall segmented structure, the plate-type lifting lug is arranged at the bottom of the inner dock wall of the dock wall segmented structure, the inner dock wall is hoisted and turned over by 180 degrees in cooperation with a crane, and then the inner dock wall is installed on the outer dock wall to form the dock wall segmented structure; and the plate-type lifting lug does not extend out of the outer dock wall. According to the method, the problem that the lifting lugs need to be cut off through the hooks after the dock wall is turned over is effectively solved, the lifting lugs do not need to be cut off after the dock wall is turned over, the operation time for turning over and lifting the dock wall is shortened, the overall efficiency and benefits of ship building are improved, and a foundation is laid for lean manufacturing of ships.

The invention relates to the field of production process management control, in particular to an MES operation management system based on full-process optimization. According to the method, the whole-process logic of lean production is set, the inventory demand and the work order number of each link in the production process are accurately calculated, and the whole-process optimization from the production plan to the equipment efficiency, risk control and performance evaluation is realized by combining the pipeline inventory, the process in-process and the economic batch adjustment dynamic balance inventory. According to the equipment comprehensive efficiency calculation link, a variable calculation method is customized for machining modes of different working procedures such as general, tempering and electroplating, the availability rate, the expression index and the quality index are comprehensively considered, waste such as unplanned shutdown and switching time is accurately recognized, the equipment efficiency is accurately evaluated, and the equipment utilization rate is increased. According to the production capacity utilization rate calculation link, eleven indexes such as the one-time passing rate and the inventory turnover rate are combined, the conditions such as production quality, delivery and inventory are comprehensively reflected, and the production efficiency is monitored in a full-dimension mode to strengthen the management decision.

This application discloses a mechanism- and data-driven product quality control method and related apparatus, relating to the field of product quality control technology. The method includes: acquiring multiple sets of historical measurement data; using the process characteristics and quality characteristics of each step in a preset process as nodes; calculating the comprehensive grey relational degree between nodes based on the multiple sets of historical measurement data; constructing a Bayesian network; acquiring the real-time values ​​of the process characteristics and quality characteristics of the preset steps in the preset process; using these real-time values ​​as input; and using the Bayesian network for inference to predict the predicted value of the quality characteristic of the last step in the preset process, thereby further controlling product quality. This application combines mechanism and data to control product quality, enabling accurate prediction and timely intervention of quality problems, achieving the high requirements of lean manufacturing.

The application discloses a large-sized gas turbine blade ceramic core sintering loading box size control device and an application method, two groups of suspension tools are arranged at the opening of the sagger, the suspension tool comprises a supporting piece and a suspension rod, the supporting piece is supported on the opening end face of the sagger, the suspension rod is connected with the supporting piece through a screw rod, and an adjusting nut is threadedly connected on the screw rod; a screen support is arranged on the top surface of the supporting piece; when filling, the ceramic core is hung on the suspension rod of the suspension tool, the filler is screened through the screen and then filled into the sagger, when the filling position reaches 3 / 4 of the ceramic core, the suspension tool is taken out, the filler is continuously screened through the screen until the ceramic core is completely covered; the suspension tool for the ceramic core sintering loading box and the powder filling screen are simultaneously used, stress is effectively eliminated, size deformation in the ceramic core loading process is avoided, the ceramic core sintering assembly rate is improved, the loading operation of the ceramic core with different size structures is suitable, and efficient and lean production is realized.