If enterprise resource planning systems are at the heart of the

• Posted by Ruby Mike July 29, 2022 - Filed in Other - #Production Monitoring Service  - 571 views

  Monitoring and evaluation systems (MES) are divided into the following categories: monitoring and evaluation systems (MES)

  In MES monitoring, three different types of measurements are made: pressure, temperature, and flow rate.

  

  Quality control is a term used in the manufacturing industry to describe the process of inspecting the condition of parts after they have been manufactured.  They are classified according to physical characteristics, which typically include their size, weight, and appearance, as shown in the following table.
  
  Either on its own or in conjunction with the results of other monitoring types, each of the three monitoring types generates actionable information that can be used to make decisions in a variety of situations.  Some examples of information that Production Monitoring can provide to production management on its own are provided in the following paragraphs:
  
  Approximately when it is anticipated that the work that is currently underway will be completed
  
  If an application is running at an abnormally slow or rapid pace (and as a result, something is wrong), the application should be terminated.
  
  Important considerations include the types of raw materials that were used and how much more will be required in the near future.
  
  How much machine and labor time was spent on the production of the components? How many components were produced? How many individual components were created in total?
  
  Following the completion of Production Monitoring Service, the next logical step is to conduct quality monitoring.  A computer-aided measurement device is one that is used in conjunction with human inspection to ensure that parts are manufactured in accordance with specifications.  Scales, calipers, vision systems, and electronic test systems are examples of computer-aided measurement devices.  During the manufacturing process, a good part is identified, bad parts are culled, and failed processes are flagged for further investigation and correction.
  
  In the manufacturing industry, scrap rates are defined as the amount of material, labor, and machine time that is wasted.
  
  Processes that are out of control or have failed are referred to as failures or out of control processes.
  
  Process monitoring is the measurement of what is taking place during the actual manufacturing process when it comes to manufacturing.  It was discovered that there were no problems with temperature control or die closing force and the part was baked for the appropriate amount of time after it was delivered to the customer.  Any deviations from this format are continuously monitored for and investigated, and any deviations from this format are recorded in a time series format for the most important process variables.  Identifying events that are on the verge of reaching the boundary limits and predicting the production of substandard parts in advance are both possible with modern technology.
  
  When it comes to determining the root cause of manufacturing problems, it is also critical to keep track of the manufacturing process as it happens.  What is it that is causing the part to be excessively thin in the first place? Do you think the amount of time allotted for filling up the jars was sufficient? Nobody ever figured out what caused the air bubbles in the part to appear.  Was there a possibility that the screw pressure was too low at the time of the crash? When engineers have knowledge of critical process variables at the time of production, they can quickly identify areas where issues may have occurred during the parts manufacturing process, a process known as root cause analysis.
  
  Manufacturing control, predictability, efficiencies, and consistency can be achieved through the use of production, quality, and process monitoring systems that work in concert with one another.
  
  As an illustration, consider the following scenario:A 10,000-item job that is being watched over is being monitored, and this is the process of keeping track of the progress of that job.  Suppose a job calls for the production of 6,000 parts but has not yet been completed; Production Monitoring alerts the supervisor that the manufacturing rate has slowed and that the job will likely be completed later than expected; and so on.  The supervisor receives a similar alert from the quality monitoring system, which has begun to reject one part out of every twenty for the first time around the same time period as the supervisor.
  
  As a result, the supervisor summons an engineer, who launches an investigation into the information gathered from the process monitoring system as a result of the information.  In spite of the fact that the barrel temperature of the machines is rising to unacceptably high levels, the fill pressure remains within the specified range.  A decision has been reached by the supervisor and the engineer that the job should be stopped and re-started on a different piece of equipment.  It is common practice in some circles to refer to this as "Runs Best Data" when referring to the use of historical Production Monitoring Service data to determine which machine will be the best fit to complete the task at hand.  Knowing full well that it was not a problem with the fill pressure, he advises production management that the problem was not with their tool, but was rather with something further down the production line. . When he gives his approval for the tool to be used on the newly acquired equipment, the supervisor starts the process of transferring the tool to the newly acquired equipment.  When working with the new equipment, the job can be up and running in less than 30 minutes, and all parameters will operate within the parameters of the job specifications. .
  
  In the meantime, the engineer's team is reviewing the production information, quality information, and process information that has been gathered so far.  A millisecond accuracy is possible in determining when the barrel temperature exceeded 950 degrees, when the production rate slowed, and when the number of rejected parts increased, and he can pinpoint these events to the millisecond.  In this particular instance, it was discovered that the temperature of the barrel was the root cause of the failure.  According to an inspection of the machines, the barrel temperature controls had failed prematurely after 425,000 cycles of operation, as revealed by the inspection, after 425,000 cycles of operation.  In addition to repairs, the inspection criteria for barrel temperature control have been reset to 400,000 cycles, which is the maximum number of cycles that can be performed on the machine at any given time.