A Markov decision process-based policy characterization approach for a stochastic inventory control problem with unreliable sourcing

2013 ◽  
Vol 144 (2) ◽  
pp. 485-496 ◽  
Author(s):  
S. Sebnem Ahiska ◽  
Samyuktha R. Appaji ◽  
Russell E. King ◽  
Donald P. Warsing
Keyword(s):  
Control Problem ◽  
Inventory Control ◽  
Markov Decision Process ◽  
Decision Process ◽  
Stochastic Inventory ◽  
Stochastic Inventory Control ◽  
Markov Decision ◽  
Inventory Control Problem

scholarly journals An Optimization Model of the Single-Leg Air Cargo Space Control Based on Markov Decision Process

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Chun-rong Qin ◽  
Li Luo ◽  
Yang You ◽  
Yong-xi Xiao
Keyword(s):  
Dynamic Programming ◽  
Inventory Control ◽  
Markov Decision Process ◽  
Decision Process ◽  
Programming Model ◽  
Air Cargo ◽  
Theoretical Support ◽  
Markov Decision ◽  
Dynamic Programming Model ◽  
Inventory Control Problem

Based on the single-leg air cargo issues, we establish a dynamic programming model to consider the overbooking and space inventory control problem. We analyze the structure of optimal booking policy for every kind of booking requests and show that the optimal booking decision is of threshold type (known as booking limit policy). Our research provides a theoretical support for the air cargo space control.

TRANSMISSION RATE CONTROL OVER RANDOMLY VARYING CHANNELS

2005 ◽  
Vol 19 (1) ◽  
pp. 73-82 ◽  
Author(s):  
Gauresh Rajadhyaksha ◽  
Vivek S. Borkar
Keyword(s):  
Markov Chain ◽  
Inventory Control ◽  
Markov Decision Process ◽  
Rate Control ◽  
Optimal Policy ◽  
Decision Process ◽  
Transmission Rate ◽  
Buffer Occupancy ◽  
Transmission Rate Control ◽  
Markov Decision

The problem of controlling transmission rate over a randomly varying channel is cast as a Markov decision process wherein the channel is modeled as a Markov chain. The objective is to minimize a cost that penalizes both buffer occupancy (equivalently, delay) and power. The nature of the optimal policy is characterized using techniques adapted from classical inventory control.

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