By innovatively formulating a bottleneck analysis problem into a bi-objective optimization one, multi-objective optimization can be effectively used as a new method for general production systems improvement. In a single optimization run, all attainable, maximum throughput levels of the system can be sought through various optimal combinations of improvement changes of the resources.
Additionally, the post-optimality frequency analysis on the Pareto-optimal solutions can generate a rank order of the attributes of the resources required to achieve the target throughput levels.
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