Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  use a recent simulation‐based optimization method, sample path optimization, to find optimal buffer allocations in tandem production lines where machines are subject to random breakdowns and repairs, and the product is fluid‐type.  explore some of the functional properties of throughput of such systems and exploit these properties to prove the almost sure convergence of our optimization technique, under a regularity condition on the steady state. Utilizing a generalized semi‐Markov process (GSMP) representation of the system,  derive recursive expressions to compute one‐sided directional derivatives of throughput, from a single simulation run. Finally,  give computational results for lines with up to 50 machines.  also compare results for smaller lines with the results from a more conventional method, stochastic approximation, whenever applicable. In these numerical studies, our method performed quite ll on problems that are considered difficult by current computational standards.
['Gül Gürkan']
I am writing a research paper on a idea Simulation optimization of buffer allocations in production lines with unreliable machines
[{"from": "human", "value": "I am writing a research paper on a idea Simulation optimization of buffer allocations in production lines with unreliable machines"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  use a recent simulation\u2010based optimization method, sample path optimization, to find optimal buffer allocations in tandem production lines where machines are subject to random breakdowns and repairs, and the product is fluid\u2010type.  explore some of the functional properties of throughput of such systems and exploit these properties to prove the almost sure convergence of our optimization technique, under a regularity condition on the steady state. Utilizing a generalized semi\u2010Markov process (GSMP) representation of the system,  derive recursive expressions to compute one\u2010sided directional derivatives of throughput, from a single simulation run. Finally,  give computational results for lines with up to 50 machines.  also compare results for smaller lines with the results from a more conventional method, stochastic approximation, whenever applicable. In these numerical studies, our method performed quite ll on problems that are considered difficult by current computational standards."}]