Real-time dispenser replenishment optimization based on receding horizon control

被引：3

作者：

Dauod, Husam ^{[1
]}

Wang, Haifeng ^{[1
]}

Khader, Nourma ^{[1
]}

Yoon, Sang Won ^{[1
]}

Srihari, Krishnaswami ^{[1
]}

机构：

[1] SUNY Binghamton, Dept Syst Sci & Ind Engn, Binghamton, NY 13905 USA

来源：

27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017 | 2017年 / 11卷

关键词：

Optimization; inventory planning and control; mixed integer programming; receding horizon control; INVENTORY CONTROL;

D O I：

10.1016/j.promfg.2017.07.313

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a real-time optimization approach to enhance dispenser replenishment planning in central fill pharmacy systems. Dispenser replenishment is a key function that directly impacts the overall pharmacy performance. It is influenced by various stochastic variables such as demand variety, counting speed, and medication size. These variables increase the complexity of planning, especially when demand volume is high. In this research, a mixed integer programming model is proposed to minimize the total replenishment costs. A receding horizon control (RHC) mechanism is applied to reduce the computational burden and enhance the solution's quality. Experimental results indicate that dynamic planning using RHC reduces the total replenishment costs by 64%. (C) 2017 The Authors. Published by Elsevier B.V.

引用

页码：1782 / 1789

页数：8

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