Intelligent Scheduling Advanced Functions


Material Requirements Planning

Concurrently planning of material and capacity requirements; and recommend material arrival time based on the shop floor production line’ material requirement usage to ensure that the production line will not stop due to lack of material.

  • Automatically generate the material shortage table and material push table
  • Material usage time planning for picking and preparing materials

Strictly Meet the Delivery Date and Backward Scheduling

The backward scheduling approach based on the customer order/manufacturing order (MO) due date is applied to obtain each MO's latest release date. It can solve the problem of early releasing MO and effectively reduce material costs.

  • Avoid early releasing materials and reduce material inventory costs
  • Implement JIT (Just in Time) production model

Automatically Releasing Assembly Parts

Backward planning the parent MO’s latest releasing time from the customer order due date, and schedule the latest sub-MO’s operation start time to effectively reduce the waiting time of work in progress (WIP).

  • Solve the problem of assembling a semi-finished product in which almost all parts are ready and waiting for one late part.
  • Reduce the WIP waiting time

Cloud Dispatching

Log in to the IMPACTs system via a mobile device such as a mobile phone or tablet to display the MO production status and operation sequence information.

  • Replace the paper MO dispatching approach with a timely base
  • Dynamically adjusts the MO production schedule in response to unexpected events (e.g., rush order, cancel/change of customer orders) through the cloud.

Cloud MO Reporting

Shop floor operators can use a mobile device such as a cell phone or tablet PC to log in to the IMPACTs system and report MO production status directly or scan the paperwork-based operation instruction sheet to feedback the work progress.

  • Replacing a paper-based reporting approach to a real-time system approach
  • Visualizing the shop floor production status even without hardware installed

Automatic Line-change Scheduling

According to the production line-changing logic and change time, the IMPACTs system can generate effective line change schedules by considering shop floor production conditions.

  • Reasonably plan the number and timing of line changes to avoid redundant line changes
  • Reduce production loss caused by line changes

Batch Production Scheduling

To put MOs with similar or the same production conditions together to process simultaneously. For example, the batches that need the same baking time or temperature can be grouped for processing in the baking process.

  • Effectively increase a batch’s volume
  • The batch scheduling can effectively solve the problem of determining the number and timing of batched MOs.

Mold/Resource Assignment Scheduling

IMPACTs may generate mold assignment schedule according to the molds required by the product and the available mold resources. The decision of assigning molds when and on which machines are effectively made.

  • Effectively solve the assignment problem of multiple types of equipment, sharing a small limited amount of molds
  • Avoid multiple equipment resources that require a mold simultaneously

Processing Operator Designated Scheduling

Assign operators according to the characteristics of products and processes and the operator’s proficiency in the work as the priority of scheduling.

  • Set the order of assignment according to the proficiency of the operator
  • Planning the daily worklist for processing operators

Designated schedule of mold change Operator

According to the needs of the designated operator to replace the mold, plan the mold change schedule.

  • Avoid stopping the production line due to lack of mold changers
  • The exact work schedule for mold changers

Man-machine collocation schedulig

According to the needs of the designated operator to operate the machine, plan the man-machine collaboration schedule.

  • Effectively solve the one-person, multi-machines allocation problem
  • Improve the efficiency of operator-machine collaboration