FDS has built solutions that address planning and scheduling needs of Paper industries. The solution covers areas like generation of runs on individual Paper machines, re-scheduling of runs to accommodate differences in projected and actual demand and trim optimization.
Creating Runs : This involves creating broad monthly plan of production for different types of Paper on individual Paper machines. Based on projected demand you can either create Runs manually or use standard templates to create block plans or Runs for individual machines. Such Runs can be created for a stand-alone Paper Mill or multi location mill.
Capacity to Promise : To indicate realistic promise dates for Customer demands. Based on the Block Plan or Runs delivery commitments are made and customer demand is accommodated in a most suitable Run. Customer's choice of Mill location, preferred machine and transportation mode are respected while allocating a target Run.
Regenerating Runs : This feature is useful in case there is a great variation between the projected demand (based on which the original Runs were created) and the actual customer demand. The original Runs are erased and new optimum Runs to accommodate actual Customer demand are created.
Based on existing confirmed demand the algorithm generates new Runs and creates an optimal sequence of these Runs across individual Paper Machines for different Time Horizons. While generating such a sequence this algorithm considers Run Size Minimum/ Maximum limits, grade transition penalties, minimization of manufacturing/transportation costs and customer preferences of Mill/Machine/Transport Mode.
Run Shuffling : Here candidate orders are re-scheduled in the existing runs. While re-scheduling, customer's choice of mill, machine & mode of transport are respected.
Trim Optimization : An algorithm to decide an optimum plan of cutting jumbo rolls as they come out of individual paper machine. The cutting of Jumbo Rolls is done based on specifications of individual Customer Orders or stock orders. It is possible to generate one or more trim solutions. User can evaluate such solutions on multiple parameters and select the most suitable option. Trim Optimization algorithm considers following constraints: