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.
Highlights
At present, the ordering and distribution of medical supplies in domestic hospitals under general operating conditions mainly adopt contractual regular ordering and regular inhospital delivery
Related Work e literature [4] proposed an economic order quantity (EOQ) model with time-varying demand and purchase price to analyze the impact of the development of spoiled items on inventory management
In order to allow the planned medical materials ordering and distribution operations to be stably executed, the relevant operators will regularly check whether the set standards of the medical material procurement system meet the actual needs, and replan the subsequent remaining operations according to the new medical material demand information to maintain the safe supply of materials [11]
Summary
The ordering and distribution of medical supplies in domestic hospitals under general operating conditions mainly adopt contractual regular ordering and regular inhospital delivery. Many pilot hospitals said that after the implementation of the “Zero Drug Plus” policy, due to the ambiguity of the original medical system property rights, all levels of hospitals were not very enthusiastic about reforms, which led to large “policy losses” in various hospitals At this time, pharmacy trusteeship emerged as a way to reduce hospital losses [1]. Erefore, for the overall logistics planning of medical material ordering and distribution, it is worthwhile to study the practical application value and academic reference value to effectively control the cost of the entire drug supply chain while meeting the patient’s drug needs. 2. Related Work e literature [4] proposed an economic order quantity (EOQ) model with time-varying demand and purchase price to analyze the impact of the development of spoiled items on inventory management. In the background of multidrug ordering problems in hospitals, based on the theory of metamorphic inventory, the literature [7] established a mathematical model with inventory space as the constraint condition under the premise of allowing out-of-stock and having lead time and verified the validity of the model through numerical examples. e literature [8] proposed an optimized medical equipment ordering strategy and gave several formulas to determine the most reasonable order form. e literature [9] combines Six Sigma management and lean production methods to improve the hospital’s inventory management of important medical equipment. e literature [10] constructed a VMI model for a single supplier and multiretailer supply chain
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
