Optimization on Medical Material Distribution Management System Based on Artificial Intelligence Robot

Abstract

The traditional medical material distribution management system method lacks systematic analysis and relies heavily on the subjective judgment of related operators, and it is easy to cause excessive or too little inventory, which leads to waste of operating costs. This study builds on a dedicated system for artificial intelligence robot logistics and aims to minimize the total cost of medical material ordering and distribution operations. In addition, in view of the constraints in the actual operation of the hospital, this study uses the concept of the spatiotemporal network to construct an ordering and distribution scheduling planning model of single material certainty, single material stochastic, and multiple material stochastic to help the hospital make optimal decisions and ensure the hospital's continuous and stable operation. In addition, after building the system, this study designs experiments to analyze the performance of this study system. The research shows that the model constructed in this paper has a certain effect and can provide a reference for the follow-up medical material distribution management system.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 13 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.