Results 31 to 40 of about 153,181 (197)

Shape – A Stochastic Hybrid Approximation Procedure for Two-Stage Stochastic Programs [PDF]

open access: yesOperations Research, 2000
We consider the problem of approximating the expected recourse function for two-stage stochastic programs. Our problem is motivated by applications that have special structure, such as an underlying network that allows reasonable approximations to the expected recourse function to be developed.
Cheung, Raymond K.-M., Powell, Warren B.
openaire   +2 more sources

A Decomposition Algorithm for the Two-Stage Chance-Constrained Operating Room Scheduling Problem

open access: yesIEEE Access, 2020
The required time for surgical interventions in operating rooms (OR) may vary significantly from the predicted values depending on the type of operations being performed, the surgical team, and the patient.
Amirhossein Najjarbashi, Gino J. Lim
doaj   +1 more source

Approximation in two-stage stochastic integer programming [PDF]

open access: yesSurveys in Operations Research and Management Science, 2014
Approximation algorithms are the prevalent solution methods in the field of stochastic programming. Problems in this field are very hard to solve. Indeed, most of the research in this field has concentrated on designing solution methods that approximate the optimal solution value.
Romeijnders, Ward   +2 more
openaire   +2 more sources

Solution strategies to the stochastic design of mineral flotation plants [PDF]

open access: yes, 2017
The aim of this study is two-fold: first, to analyze the effect of stochastic uncertainty in the design of flotation circuits and second, to analyze different strategies for the solution of a two-stage stochastic problem applied to a copper flotation ...
Cisternas, Luis A.   +2 more
core   +1 more source

Developing a two‐stage stochastic programming model in tolerance optimization using a guard band approach

open access: yesEngineering Reports, 2022
An alternative way of looking at tolerance optimization is presented through a stochastic perspective by accounting for both manufacturing process uncertainty as well as uncertain market conditions.
Russell Krenek
doaj   +1 more source

A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software

open access: yesAlgorithms, 2022
This paper presents a tutorial on the state-of-the-art software for the solution of two-stage (mixed-integer) linear stochastic programs and provides a list of software designed for this purpose.
Juan J. Torres   +3 more
doaj   +1 more source

A Two-stage Stochastic Mixed-integer Programming Model for Resilience Enhancement of Active Distribution Networks

open access: yesJournal of Modern Power Systems and Clean Energy, 2023
Most existing distribution networks are difficult to withstand the impact of meteorological disasters. With the development of active distribution networks (ADNs), more and more upgrading and updating resources are applied to enhance the resilience of ...
Hongzhou Chen   +5 more
doaj   +1 more source

Stability in Two-stage Stochastic Integer Programming [PDF]

open access: yes, 2005
There is a large number of different approaches for formulating andsolving optimization problems under uncertainty. In applications, one isusually faces incomplete information on probability measure u.Numerical attemps has been made mostly rely on ...
Nababan, E. (Esther)
core  

A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain

open access: yesLogistics, 2023
Background: The soybean market is representative of the world. Brazil is the largest producer and exporter of this crop and has low production costs but high logistical costs, which are influenced mainly by transport costs. Added to these characteristics,
Silvia Araújo dos Reis   +2 more
doaj   +1 more source

Stochastic utility-efficient programming of organic dairy farms [PDF]

open access: yes, 2005
Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterise the farm management process.
G., Lien, O., Flaten
core  

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