在全道零售中使用量子决策理论和强化学习的动态定价建模和库存管理
Shima Roosta1, Seyed Jafar Sadjadi1, Ahmad Makui1
1School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran.
PloS one
|October 21, 2025
概括
这项研究引入了对全道零售的量子增强框架,优化动态定价和库存管理. 这种新的方法在不确定的市场条件下改善了购买预测和利能力.
科学领域:
- * 量子计算和决策科学
- * 运营研究和零售管理
背景情况:
- * 全道零售由于客户道转换和市场不确定性而带来复杂的定价和库存挑战.
- *传统模型在波动的环境中无法预测客户行为和市场动态.
- * 智能,适应性决策框架对于现代零售成功至关重要.
研究的目的:
- * 开发一种新的,量子增强的框架,以优化全道零售的动态定价和库存管理.
- * 解决经典模型在不确定性下预测客户行为的局限性.
- *通过先进的决策来提高零售业的竞争力和利能力.
主要方法:
- * 量子决策理论,量子马尔科夫链 (QMC),量子动态游戏和强化学习的整合.
- * 应用诸如叠加,观察者效应和量子干扰等量子概念.
- *使用量子多级马尔科夫过程 (QMLMP) 进行市场变化建模和预测增强.
主要成果:
- * 在预测客户购买行为的准确性方面有明显的改善.
- *优化了全道零售商的动态定价和库存管理策略.
- * 提高零售商做出竞争和利决策的能力.
结论:
- * 拟议的量子增强模型为数字时代的零售挑战提供了一种变革性的方法.
- * 这项研究提供了对不确定的零售环境中客户行为的更深入的了解.
- * 该框架为未来在零售优化量子应用方面的进步铺平了道路.
相关概念视频
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
284
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
284
Application of Differentiation to Business
5
Calculus offers essential techniques for businesses seeking to optimize pricing strategies and revenue. In this case, a bakery wants to determine the ideal price and daily sales volume to maximize revenue. By modeling how changes in price affect demand and revenue, the bakery can apply calculus to make data-driven decisions.The demand function relates the price per cupcake to the number of cupcakes sold and captures how lower prices increase sales. Based on market data, the demand function can...
5
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
240
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
240
Model Approaches for Pharmacokinetic Data: Compartment Models
524
Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Two primary types of compartment models are recognized: mammillary and catenary. The more...
524
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
287
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
287
Pharmacokinetic Models: Overview
1.9K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.9K
