EFFICIENT MODELS FOR THE ANALYSIS OF PRODUCTION NETWORKS
Abstract
A PRODUCTION SYSTEM CONSISTS OF MACHINES AND BUFFERS, AND CONVERTS RAW PARTS INTO FINAL PRODUCTS. SUCH SYSTEMS ARE USUALLY DESCRIBED BY SIMULATION MODELS. YET, THE EXISTING SIMULATORS ARE QUITE SLOW BECAUSE THEY ARE BASED ON OBSERVING EVERY ARRIVAL OR DEPARTURE OF ALL PARTS FROM THE MACHINES OF THE SYSTEM. IN THIS WORK A NEW DISCRETE EVENT LOGIC IS PROPOSED, WHICH COMBINES ANALYSIS AND SIMULATION. THE MODEL IS BASED ON OBSERVING ONLY MAJOR EVENTS (MACHINE FAILURE, REPAIR, AND BUFFER EMPTYING OR FILLING), WHICH FORCE THE ADJACENT MACHINES CHANGE THEIR RATES. AS A RESULT THEIR TOTAL PRODUCTION IS COMPUTED BY MULTIPLYING THEIR RATES WITH TIME. THE RESULTING ALGORITHMS ARE QUITE ACCURATE AND, THOUGH NONTRIVIAL AND MORE COMPLEX, UP TO 20 TIMES FASTER THAN CONVENTIONAL SIMULATORS.
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