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Two Stage Stochastic Programming – (TSSP-RIO-MOTAD)

A Deterministic Model to the Two-Stage Stochastic Programming of Disaster-Relief Supply Chain Transportation and Distribution Planning

A Deterministic Model to the Two-Stage Stochastic Programming of Disaster-Relief Supply Chain Transportation and Distribution Planning

... multi-commodity, two-stage stochastic programming, disaster- relief supply chain transportation and distribution problem minimizing the overall costs consisting of the expected first- ...

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A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

A simple randomised algorithm for convex optimisation: Application to two-stage stochastic programming

... of two-stage stochastic programming ...the two-stage stochastic programming problem and under a given uniform bound on the directional derivatives of the second ...

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Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

Modified L-shaped Decomposition Method with Scenario Aggregation for a Two-Stage Stochastic Programming Problem

... in stochastic opti- mization models has ...such two-stage or multi-stage stochastic mixed-integer optimization problems is directly computationally intractable for large instances, ...

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A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

... network, and finally integrated forward/reverse logistics network [1]. A comprehensive review of reverse and integrated logistics can be found in (Fleischmann [2]; Pokharel and Mutha [6]; Govindan [8]). In this paper, we ...

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A two-stage stochastic view selection problem in database management systems

A two-stage stochastic view selection problem in database management systems

... the two-stage stochastic view selection problem in database management ...in two or more workloads. We propose a two-stage stochastic programming (SP) model for ...

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Applications of inexact programming methods to waste management under uncertainty: current status and future directions

Applications of inexact programming methods to waste management under uncertainty: current status and future directions

... inexact programming methods have been developed and applied increasingly to waste management problems under ...inexact programming techniques in supporting waste ...inexact programming methods can be ...

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Uncertain programming with recourse

Uncertain programming with recourse

... Two-stage stochastic programming was first put forward by Dantzig [6] in ...linear programming he discussed was divided into two or more ...first stage was determined, ...

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A Collaborative Stochastic Closed-loop Supply Chain Network Design for Tire Industry

A Collaborative Stochastic Closed-loop Supply Chain Network Design for Tire Industry

... for two types of products: Tires and ...Linear Programming (MINLP) ...of stochastic optimization in nature which gives an optimal solution in a reasonable ...a two-stage ...

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Comparison of defuzzification methods for fuzzy stochastic linear programming

Comparison of defuzzification methods for fuzzy stochastic linear programming

... Linear programming has extensively evolved in order to model and tackle the real life problem more accurately and ...Linear programming problem assume that all the parameters of the problem, such as the ...

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Stochastic utility efficient programming of organic dairy farms

Stochastic utility efficient programming of organic dairy farms

... discrete stochastic two-stage utility efficient programming model of organic dairy farms, which includes risk aversion in the decision maker’s objective function as well as both embedded risk ...

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A Comparative Study on Harvesting Plan Predicting Insurance with Two-Stage Stochastic Analysis

A Comparative Study on Harvesting Plan Predicting Insurance with Two-Stage Stochastic Analysis

... In Stochastic Programming, three words are mostly used to describe stochasticity: uncertainty, randomness, and risk. Something is uncertain if you don’t know the exact thing from many things. But if you can ...

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The Two-stage Stochastic View Selection Problem in OLAP Systems: Models and Algorithms.

The Two-stage Stochastic View Selection Problem in OLAP Systems: Models and Algorithms.

... of that work are scalable to relatively large instances of the problem, and compare favorably with several other approaches in the literature, including [2,19,22]. However, those integer linear programming ...

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Three - Stage Stochastic Multivariate  Stratified Sample Survey

Three - Stage Stochastic Multivariate Stratified Sample Survey

... of two-stage stratified sampling designs is well defined in the sampling ...In two-stage stratified sampling designs the total population is subdivided into a number of strata and then ...

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Ordering policies for a dual sourcing supply chain with disruption risks

Ordering policies for a dual sourcing supply chain with disruption risks

... stage supply chain with production-rate disruption risks. Yu and Zhao (2007) studied a random demand supply chain of a single supplier and a single retailer with different risk aversion and preference ...

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Re-configuration of the Relief Network Considering Uncertain Demand and Link Failure in an Earthquake: A Multi-stage Stochastic Programming

Re-configuration of the Relief Network Considering Uncertain Demand and Link Failure in an Earthquake: A Multi-stage Stochastic Programming

... Generally speaking, Governments, non-governmental organizations (NGOs) and humanitarian organizations can improve the agility and quality of the Humanitarian Relief Logistics (HRL) if they would participate in relevant ...

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Optimal Planning and Scheduling in Outpatient Procedure Centers.

Optimal Planning and Scheduling in Outpatient Procedure Centers.

... a two-stage stochastic linear programming model for determining optimal patient interarrival times to a stochastic server for a fixed sequence of patients, and Denton et ...in ...

138

A Literature Review of Stochastic  Programming and Unit Commitment

A Literature Review of Stochastic Programming and Unit Commitment

... However, chance constraint itself cannot model uncertainties. In many papers employing chance constraints, uncertain variables are usually captured by other methods instead of SP. For example, [33] uses a correlation ...

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Fuzzy Stochastic Linear Programming Problems With Uncertainty Probability Distribution

Fuzzy Stochastic Linear Programming Problems With Uncertainty Probability Distribution

... (2012)thesingle(multiobjective) stochastic programming is not mathematically well ...out two transformations to resolution such types of problems: multiobjective transformation and stochastic ...

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Competitive Facilities Location Problems with Fuzzy Random Demand

Competitive Facilities Location Problems with Fuzzy Random Demand

... nonlinear programming problems, because we cannot utilize any information of the neighborhood of current solutions for finding their improving ...nonlinear programming problems, ...

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Two Stage Stochastic Natural Language Generation for Email Synthesis by Modeling Sender Style and Topic Structure

Two Stage Stochastic Natural Language Generation for Email Synthesis by Modeling Sender Style and Topic Structure

... word-based stochastic generation outperforms or performs as well as the template-based algorithm for all cri- teria, where a t-test on an email as a random vari- able shows no significant improvement but p-value ...

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