Auxiliary decision-making method for formulating purchasing strategy in productivity recovery stage

Abstract

The invention relates to the field of productivity pre-judgment, in particular to the field of productivity pre-judgment in a productivity recovery stage, and more particularly relates to an auxiliary decision-making method for formulating a purchasing strategy in the productivity recovery stage. Comprising the following steps: taking corrected basic electricity consumption as an evaluation benchmark, and carrying out multi-dimensional cross comparison analysis through a capacity water level height index and a capacity accumulative recovery index; judging the productivity recovery capability of the supplier effectively, and providing a basis for purchasing strategy decision-making; meanwhile, after the order is signed, pre-judging the production delivery risk of related suppliers further through the capacity rising and falling speed index; therefore, when early warning occurs, the purchasing strategy is adjusted in time, and the influence of insufficient supplier capacity on power grid construction is reduced. And in the productivity recovery stage, the productivity recovery of the supplier is accurately pre-judged in the whole process, so that the delivery risk is reduced, and effective implementation of power grid construction is ensured.

Description

technical field [0001] The present invention relates to the field of production capacity prediction, in particular to the field of production capacity prediction in the recovery stage of productivity, and more specifically relates to an auxiliary decision-making method for formulating procurement strategies in the recovery stage of productivity. Background technique [0002] The productivity recovery stage refers to the stage in which an enterprise gradually resumes normal production after the shutdown or production reduction in an unexpected situation (such as an epidemic), and when the factors causing the shutdown or production reduction are eliminated. In the recovery stage of productivity, since the production capacity is gradually increasing, but at the same time, the production capacity is also constantly changing. Therefore, how to accurately predict the supplier's production capacity, so as to adjust the procurement plan in advance, and ensure that the demand is met s...

AI Technical Summary

Problems solved by technology

However, there is still a lack of quantitative research on the production capacity of suppliers through real-time monitoring and warning of electricity consumption to guide the decision-making method for the demand side to formulate and adjust procurement strategies during the recovery stage of productivity.

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