Stochastic methods for improving secondary production decisions under compositional uncertainty

[摘要] (cont.) Results show that it is possible to increase the use of recycled material without compromising the likelihood of batch errors, when using this method compared to conventional window narrowing. The chance-constrained framework was then extended to improving the alloy design process. Currently, few systematic methods exist to measure and direct the metallurgical alloy design process to create alloys that are most able to be produced from scrap. This is due, in part, to the difficulty in evaluating such a context-dependent property as recyclability of an alloy, which will depend on the types of scraps available to producers, the compositional characteristics of those scraps, their yield, and the alloy itself. Results show that this method is effective in, a) characterizing the challenge of developing recycling-friendly alloys due to the contextual sensitivity of that property; b) demonstrating how such models can be used to evaluate the potential scrap usage of alloys; and (c) exploring the value of sensitivity analysis information to proactively identify effective alloy modifications that can drive increased potential scrap use.

[发布机构] Massachusetts Institute of Technology