scholarly journals Appointment Scheduling at Outpatient Clinics Using Two-Stage Stochastic Programming Approach

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 175297-175305
Author(s):  
Samira Fazel Anvaryazdi ◽  
Saravanan Venkatachalam ◽  
Ratna Babu Chinnam
Keyword(s):  
Stochastic Programming ◽  
Appointment Scheduling ◽  
Outpatient Clinics ◽  
Programming Approach ◽  
Two Stage

Enabling smart ports through the integration of microgrids: A two-stage stochastic programming approach

2020 ◽  
Vol 258 ◽  
pp. 114022 ◽  
Author(s):  
Anahita Molavi ◽  
Jian Shi ◽  
Yiwei Wu ◽  
Gino J. Lim
Keyword(s):  
Stochastic Programming ◽  
Programming Approach ◽  
Two Stage ◽  
Smart Ports

A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand

Omega ◽  
2019 ◽  
Vol 83 ◽  
pp. 123-138 ◽  
Author(s):  
Christoph Weskamp ◽  
Achim Koberstein ◽  
Frank Schwartz ◽  
Leena Suhl ◽  
Stefan Voß
Keyword(s):  
Stochastic Programming ◽  
Supply Chains ◽  
Uncertain Demand ◽  
Programming Approach ◽  
Two Stage ◽  
Postponement Strategies

Stochastic optimization for transportation planning in disaster relief under disruption and uncertainty

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Fatemeh Sabouhi ◽  
Ali Bozorgi-Amiri ◽  
Parinaz Vaez
Keyword(s):  
Stochastic Programming ◽  
Sensitivity Analyses ◽  
Programming Approach ◽  
Limited Capacity ◽  
Distribution Centers ◽  
Two Stage ◽  
Content Type ◽  
Affected Area ◽  
Routing And Scheduling ◽  
Relief Operations

Purpose This study aims to minimize the expected arrival time of relief vehicles to the affected areas, considering the destruction of potential routes and disruptions due to disasters. In relief operations, required relief items in each affected area and disrupted routes are considered as uncertain parameters. Additionally, for a more realistic consideration of the situations, it is assumed that the demand of each affected area could be met by multiple vehicles and distribution centers (DCs) and vehicles have limited capacity. Design/methodology/approach The current study developed a two-stage stochastic programming model for the distribution of relief items from DCs to the affected areas. Locating the DCs was the first-stage decisions in the introduced model. The second-stage decisions consisted of routing and scheduling of the vehicles to reach the affected areas. Findings In this paper, 7th district of Tehran was selected as a case study to assess the applicability of the model, and related results and different sensitivity analyses were presented as well. By carrying out a simultaneous sensitivity analysis on the capacity of vehicles and the maximum number of DCs that can be opened, optimal values for these parameters were determined, that would help making optimal decisions upon the occurrence of a disaster to decrease total relief time and to maximize the exploitation of available facilities. Originality/value The contributions of this paper are as below: presenting an integrated model for the distribution of relief items among affected areas in the response phase of a disaster, using a two-stage stochastic programming approach to cope with route disruptions and uncertain demands for relief items, determining location of the DCs and routing and scheduling of vehicles to relief operations and considering a heterogeneous fleet of capacitated relief vehicles and DCs with limited capacity and fulfilling the demand of each affected area by more than one vehicle to represent more realistic situations.

A two-stage stochastic programming approach for multi-activity tour scheduling

2017 ◽  
Vol 262 (2) ◽  
pp. 620-635 ◽  
Author(s):  
María I. Restrepo ◽  
Bernard Gendron ◽  
Louis-Martin Rousseau
Keyword(s):  
Stochastic Programming ◽  
Programming Approach ◽  
Two Stage ◽  
Tour Scheduling

scholarly journals Two-stage stochastic programming approach to a PDE-constrained steel production problem with the moving interface

Kybernetika ◽  
2018 ◽  
pp. 1047-1070
Author(s):  
Lubomír Klimeš ◽  
Pavel Popela ◽  
Tomáš Mauder ◽  
Josef Štětina ◽  
Pavel Charvát
Keyword(s):  
Stochastic Programming ◽  
Steel Production ◽  
Programming Approach ◽  
Two Stage ◽  
Moving Interface ◽  
Production Problem
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