A stochastic dynamic programming framework for weed control decision making: an application to Avena fatua L.

Stochastic Investment Decision Making with Dynamic Programming

Proper investment decision making is key to success for every investor in their efforts to keep pace with the competitive business environment. Mitigation of exposure to risk plays a vital role, since investors are now directly exposed to the uncertain decision environment. The uncertainty (and risk) of an investment is increasing with the increased number of competing investors entering to mar...

Modelling and Decision-making on Deteriorating Production Systems using Stochastic Dynamic Programming Approach

This study aimed at presenting a method for formulating optimal production, repair and replacement policies. The system was based on the production rate of defective parts and machine repairs and then was set up to optimize maintenance activities and related costs. The machine is either repaired or replaced. The machine is changed completely in the replacement process, but the productio...

Application of stochastic programming for iron ore quality control

Stockpiling and blending play a major role in maintaining the quantity and quality of the raw materials fed into processing plants, especially the cement, iron ore and steel making, and coal-fired power generation industries that usually require a much uniformed feed. Due to the variable nature of such materials, they even come from the same source and the produced ores or concentrates are seld...

Short communication. Integration of emergence and population dynamic models for long term weed management using wild oat (Avena fatua L.) as an example

Weed emergence models and weed population models have shown to be important tools for decision making. However, there have been no attempts to integrate a weed emergence model with a population dynamics model to build an improved model with increased predictive capacity. In this paper, a method of integrating both types of model is presented and an application building a mathematical model base...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making