<p><a>Optimization problem
starts with initial wafer-lot production schedule and new die request. To solve
the problem, wafer-lot schedule has to be altered to support all demand.
Schedule can be altered by changing individual wafer-lot schedule in three
major ways: pull-in, push-out, and offload. Pull-in wafer-lot means to produce
the wafer-lot earlier. Push-out means to produce the wafer-lot later. Offload
means to produce the wafer-lot in another fab. All wafer-lot schedule
alterations must comply with existing constraints</a>. Wafer
production is a complex process in a microchip manufacturing plant. <a>Each fab can produce limited quantity of wafers in selected
time window. The time window is one Week.</a> With known or predicted future die demand it is possible to create
wafer-lot production schedule that maximizes the efficiency of fabs and
supports all the requested demand. Moreover, it is desired to support this new
demand while having the lowest number of changes to the schedule possible.</p><p>The dataset has been heuristically generated using the preservation of dynamics of real data.</p><p><br></p><p><br></p>
<p><br></p>