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PRODUCTION
AUTO-SCHEDULING
MODULE

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Production environment on shop floor, it can be observed production changes in real time like machine status and material details. MSF real time monitoring shows all production that can be monitored by way of dynamic real-time systems that collect and process the complete range of production-related data such as quantities, process parameters, and plant and machine status.

MSF auto schedule functions in case of unacceptable deviations or discrepancies, corrective steps which may include MSF input, are automatically executed. Depending on the degree of automation, data can be directly transferred to subordinate systems.

MSF production auto scheduling optimizes machine utilization, provides computer-based rescheduling due in case of changes in priority or others, and clearly displays the process execution. Thus, it ensures on-time and optimized production runs.

MSF makes metric analyze in order to find performance lose which is used scheduling them to plan for production. In production environment assign a workstation or workstations line as a master. All other work environments connect to each other in their multiple space. The environment has some constrains which are taken into account by MSF AI to make optimize plan automatically.

The Constraints of the MSF Auto Scheduling System

What kind of constraints are there to be considered? 

  • Production order deadline or finishing on time. Some parts of order can be outsourced operation, parallel work orders which would be different location, semi material transfers system takes into account to work order optimizing processed caching time deadline.
  • Process optimization. Workstation operation evaluates to define workstation lost.  Define calendar for workstation in common calendar, also it can be made specific calendar for each workstation also it can be made specific calendar for each operation. System will optimize between calendar and maximize that workstation of constraints. System assigns some works to the other workstation, if the capacity is full.
  • Ergonomy to operation. System analyze atomically Muri and Muro employee for operating and scheduling.
  • Tact time. It can be set up accepted tolerance time between two jobs in the same workstation.
  • Minimum capacity of workstation and labors. In order to protect from bottleneck between operation or sequential jobs, it can be put time constraints to have minimum bottleneck and protecting to want the second job and warranty time another job.
  • If Maintenance is planned, system will plan it to operation. It can be just put its calendar for maintenance in order not to block production operation. This will improve productivity and decrease machine downtime.
  • Planned stop. Defining planned stops lunch, tea break like predefined others, system considers them, then it calculates and gives every time best case of production time. 
  • Tact time duration unique for continuous production. During the assembly line of production, like some amount of car production line, what should have the time for each line like 2 minutes or 3 minutes are the tact time. On this constraint, system assign the work automatically to workstation and guaranty you this work will finish this tact time duration. This constraint needs capacity setting. It means system calculate how many employees need to finish this operation on this workstation, optimization calculation example like for 200 job to get production, system can calculate 250 employees.
  • Maximum capacity related calendar like 5 hours in a day and 5 days in a week. Using this capacity, system maximize capacity on specific days. It can be get target capacity like pre-setting %80 example, based on this constraint, system can plans automatically. Advantage of this low capacity, it is to share works to each workstation equally and machine usage optimization.
  • It can be maximized machine set up, if machine set up time is problem for some production like plastic industry. For some component needs one setting is enough, but some others need to set up every time. System can optimize to protect set up time with similar component work order in sequence.
  • Labor ergonomy. Normally job is assigned to employee with normal capacity. But MSF uses skill matrix to calculate ergonomy that gives MURI and MUDA analyzing according to this value, system is scheduling for labor and workstation with ergonomic aspects.
The Objectives of the MSF Auto Scheduling System

MSF objectives;

  • Production order (priorities, between start/stop date it will be consistency)
  • Employee (finding optimum employee and maximize assign to workstation)
  • Workstation (maximum workstation capacity with assigning operation to default workstation)

MSF AI scheduling can;

  • Supports; Discrete, Contiguous, Assembly or Continuous assembly productions process.
  • Visualization; Gantt diagram visualize the schedule, Planned stops, Planned maintenance, Scheduling different locations and Work center view can be seen.
  • Parameters; Simulation can be used without saving, Auto schedule can be made by hour, shift, day, week, etc., work order can be Divided automatically.
  • Navigation; it can be Exported to PDF and excel files, can be Zoom in/out selected day, it can be Filtered start/finish date and Filter job orders and other parameters.

As an example of capability of calculation, MSF can optimize 20 job in one work order in 2 second time period.

MSF benefits of production auto scheduling;

  • Increase production efficiency,
  • Save time spent on planning,
  • Workload balancing,
  • Real time employee allocation,
  • Increase production capacity,
  • Revealing hidden capacity,
  • Different strategies for scheduling like minimize employee and maximize capacity,
  • Maintained resource and operation constraints like operation order, queue time, set up time, etc.,
  • Accurate estimated finish times.