Results 221 to 230 of about 401,816 (284)

Reconsidering Volume‐Based Drug Procurement Policy: The Consequences of Manufacturers' Optimal Production Planning and Breach Strategies

Naval Research Logistics (NRL), EarlyView.
ABSTRACT This paper examines the impacts of Volume‐Based Procurement (VBP) policies on pharmaceutical supply chains, with a focus on the strategic behaviors of manufacturers. VBP aims to reduce costs and stabilize supplies by centralizing procurement through competition based on volumes and prices.
Nani Zhou, Tong Wang, Guohua Wan
wiley   +1 more source

Multi‐Agent Reinforcement Learning for Joint Police Patrol and Dispatch

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Police patrol units need to split their time between performing preventive patrol and being dispatched to serve emergency incidents. In the existing literature, patrol and dispatch decisions are often studied separately. We consider joint optimization of these two decisions to improve police operations efficiency and reduce response time to ...
Matthew Repasky, He Wang, Yao Xie
wiley   +1 more source

Evolution of a trait distributed over a large fragmented population: propagation of chaos meets adaptive dynamics. [PDF]

J Math Biol
Lambert A, Leman H, Morlon H, Tchouanti J.   +3 more
europepmc   +1 more source

Stochastically evolving graphs via edit semigroups. [PDF]

Proc Natl Acad Sci U S A
Chung F, Robertson SJ.
europepmc   +1 more source

Dynamic community detection using class preserving time series generation with Fourier Markov diffusion. [PDF]

Sci Rep
Ma Y, Qu D, Wang Y.
europepmc   +1 more source

Spatiotemporal simulation of land use and land cover changes in Türkiye through a CA-Markov framework. [PDF]

Sci Rep
Bozali N.
europepmc   +1 more source

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Molecular Markov Processes

Nature, 1970
Markov processes are encountered in many contexts in physics and chemistry. This review surveys the scope of their application.
openaire   +4 more sources

Quantile Markov Decision Processes

Operations Research, 2022
Title: Sequential Decision Making Using Quantiles The goal of a traditional Markov decision process (MDP) is to maximize the expectation of cumulative reward over a finite or infinite horizon. In many applications, however, a decision maker may be interested in optimizing a specific quantile of the cumulative reward. For example, a physician may want
Xiaocheng Li, Huaiyang Zhong, Margaret L. Brandeau   +2 more
openaire   +3 more sources