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					A Daily Scheduling and Performance Measurement System for Flexible Machining Systems SAIL Overview   A Plan for Machine Productivity Challenges Build to Order  High Product Mix  Daily Quantities  Shared Tools and Fixtures  Unique Features 1. 2. 3. 4. Simulation based forward schedule Download Schedule to Cell Control Monitor/Broadcast Cell Performance Cost per Part Tracking Unique Feature #1 Simulation Based Forward Schedule     Plans Shift-by-Shift Quantities Plans Days or Weeks in Advance Targets schedule at a planned level of machine utilization Sequences Part Numbers Through… Shared fixtures/pallets  Tools Groups  Schedules Setups  Unique Feature #2 Download Schedule to Cell Control    Instructions from Daily Schedule Rolls out as operation progresses Routing Instructions Pallet Active  Pallet Cycles  Part Program to Run  Machine List  Load Station List  Unique Feature #3 Monitor/Broadcast Cell Performance       Records Production by Part Number Fills in Daily Schedule Grid Calculates Actual Machine Use Provides Daily,Weekly,Monthly Totals Web Page Formats Access via Factory Network or Internet Unique Feature #4 Cost Per Part Tracking  Based on the MAST Cost Model Machine Depreciation Per Year  Hourly wage plus benefits  Overhead cost applied annually    Uses actual production to apply cost Details efficiency and burden costs SAIL Data Flow Diagram Job Management System Factory Communications Daily / Weekly Scheduling Performance Monitoring Cell Controller CNC Controls Load Station Control Cell Management from scheduling to shop floor through synchronized execution of software and hardware systems. SAIL Data Flow Diagram Job Management System Factory Communications Daily / Weekly Scheduling Performance Monitoring Cell Controller CNC Controls Load Station Control Daily / Weekly Scheduling  Planned Hours of Operation Number of Hours per Day  Number of Days per Week  Shift Start and End Times  Sample Planning Period Screen “Optimal” Daily Operational Plan        List of Parts with Production Quantity Shift-by-Shift Quantity to Produce Pallet – Fixture Required Considers Tool Conflicts Considers Pallet / Fixture Conflicts Balances Work over all Machines Fills Schedule to Planned Machine Use Sample Daily Schedule SAIL Data Flow Diagram Job Management System Factory Communications Daily / Weekly Scheduling Performance Monitoring Cell Controller CNC Controls Load Station Control Download Routing Instructions  Pallet Routing Instructions • • • • • • Pallet Number Part Number Number of Cycles Part Program Number List of Machines to Use List of Load Stations to Use Sample Routing Instructions Screen SAIL Data Flow Diagram Job Management System Factory Communications Daily / Weekly Scheduling Performance Monitoring Cell Controller CNC Controls Load Station Control Performance Monitoring  Production Counts • • Records actual production completed against planned quantities Maintains history of Actual Production Daily Schedule with Actual Production Performance Monitoring  Weekly – Monthly Totals Daily Totals Summarized Weekly or Monthly  Machine Use Averaged  Weekly Totals Screen Performance Monitoring  Machine Use by Shift Records Elapsed Time  Uses Current Production  Determines Actual Use  Daily Schedule with Machine Use Performance Monitoring  Pallet Flow Time  The pallet flow time monitor displays the elapsed time from when a pallet leaves the load station until it leaves the load station its next time. This elapsed time includes the transport time, machine cycle time, waiting in machine queue or buffer stand, and the load – unload time. All time that it takes to cycle the pallet is captured and reported. Pallet Flow Time Performance Monitoring  Machine Cycle Time  The Machine Cycle Time is a display of the observed cycle times at the machines. These cycles are the elapsed time from a cycle start to cycle end. Machine Cycle Time SAIL Data Flow Diagram Job Management System Factory Communications Daily / Weekly Scheduling Performance Monitoring Cell Controller CNC Controls Load Station Control Web Page Broadcast of Performance     Monitor Current Schedule of Work Monitor Expected Completion Times of Jobs Monitor Machine Productivity Monitor Cost per Part Sample Web Page Case Study TEAM Industry Problem  Their machine utilization and throughput were not running at full potential. Results of SAIL  Increase machine utilization and throughput from 60% to 80%  Add 1000 hours of machine hours per man per year. Case Study Large Midwestern Corporation Problem  They wanted to determine the impact of unallocated burden on manufacturing cost. Results of SAIL  SAIL’s cost model allowed for a planned cost that is adjusted using efficiency to determine an actual manufacturing cost Case Study Thermoking Corporation Problem  Machine utilization and Throughput was not at maximum level. Results of SAIL  Operators who were used to 50-70 parts per shift were now producing 400 parts per shift.  Machine utilization was now at 85%. Case Study Southern Manufacturer Problem  Had a two machine system, with room for expansion, but hesitated because of low machine utilization. Results of SAIL  Machine utilization reached 85%  They now could easily justify the third machine expansion. A Management System that      Starts with the Factory Order System To Generate an Optimal Shift-by-Shift Schedule That downloads Instructions to the Cell Control For Execution and Operation While Monitoring and Broadcasting Performance Target Users/Applications   SAIL is a tool designed for manufacturers with flexible machining systems, automated machine cells, and automated handling systems. Three days of training are recommended for use of this software. Additional training is required to integrate SAIL to other computer systems such as factory systems and cell control computers. 1610 S. Main Street Oshkosh, WI 54902 Tel: 920.235.3356 Fax: 920.235.3816 cms@cmsres.com
 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
									 
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                             
                                            