A robust optimization model for a dynamic closed-loop supply chain network redesign using accelerated Benders decomposition (original) (raw)

Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition

Esmaeil Keyvanshokooh, Elnaz Kabir

View PDFchevron_right

Benders Decomposition Algorithm for Competitive Supply Chain Network Design under Risk of Disruption and Uncertainty

Ahmad Makui

Journal of Industrial and Systems Engineering, 2016

View PDFchevron_right

Benders decomposition for Supply Chain Network Redesign with Capacity planning and Multi-Period Pricing

Shahab Sadri

International Journal of Industrial Engineering & Production Research, 2017

View PDFchevron_right

Benders decomposition with alternative multiple cuts for a multi-product closed-loop supply chain network design model

Elif Akcali

Naval Research Logistics, 2007

View PDFchevron_right

A Modified Benders Decomposition Algorithm for Supply Chain Network Design under Risk Consideration

Behrooz Karimi

2015

View PDFchevron_right

Accelerating Benders decomposition for closed-loop supply chain network design: Case of used durable products with different quality levels

Michel Gendreau

European Journal of Operational Research, 2016

View PDFchevron_right

Stochastic Benders decomposition for the supply chain investment planning problem under demand uncertainty

Fabricio Oliveira, S. Hamacher

Pesquisa Operacional, 2012

View PDFchevron_right

Development of a new approach for deterministic supply chain network design

Hadi Putra

European Journal of Operational Research, 2009

View PDFchevron_right

Multicut Benders decomposition algorithm for process supply chain planning under uncertainty

Ignacio Grossmann

Annals of Operations Research, 2011

View PDFchevron_right

Redesign of a supply network by considering stochastic demand

John Willmer Escobar

View PDFchevron_right

A stochastic programming approach for supply chain network design under uncertainty

omid amidi

European Journal of Operational Research, 2005

View PDFchevron_right

A Two-Stage Stochastic Model for the Design and Planning of a Multi-Product Closed Loop Supply Chains

M Isabel Gomes

2012

View PDFchevron_right

A robust optimisation model for remanufacturing network design problem with one-way substitution

Mohammad Mousazadeh

International Journal of Services and Operations Management, 2016

View PDFchevron_right

Accelerating Benders stochastic decomposition for the optimization under uncertainty of the petroleum product supply chain

Ignacio Grossmann

Computers & Operations Research, 2014

View PDFchevron_right

Benders decomposition approach with heuristic improvements for the robust foodgrain supply network design problem

Ajinkya Tanksale

Journal of the Operational Research Society, 2019

View PDFchevron_right

A robust optimization approach to closed-loop supply chain network design under uncertainty

Ali Ardavan

View PDFchevron_right

Reconfiguration of Supply Chain: A Two Stage Stochastic Programming

Hamidreza Rezaei

2013

View PDFchevron_right

Supply chain design under uncertainty using sample average approximation and dual decomposition

Shabbir Ahmed

European Journal of Operational Research, 2009

View PDFchevron_right

On the robust optimization approach to closed-loop supply chain network design under uncertainty

Maziar Salahi

International Journal of Operations Research, 2016

View PDFchevron_right

A De Novo programming approach for a robust closed-loop supply chain network design under uncertainty: An M/M/1 queueing model

Sarow Saeedi

International Journal of Industrial Engineering Computations

View PDFchevron_right

Optimal supply chain network design and redesign at minimal total cost and with demand satisfaction

Anna Nagurney

International Journal of Production Economics, 2010

View PDFchevron_right

Decomposition techniques for large-scale optimization in the supply chain

Lindsay Sanneman

2018

View PDFchevron_right

Network Design and Optimization for Multi-product, Multi-time, Multi-echelon Closed-loop Supply Chain under Uncertainty

Sachin Saxena

View PDFchevron_right

A multi-stage stochastic supply network design problem with financial decisions and risk management

Francisco Saldanha da Gama

Omega, 2012

View PDFchevron_right

A Robust Multiple Objectives Model to Design a Network of a Closed Loop Supply Chain

IOSR Journals

View PDFchevron_right

Dynamic reverse supply chain network design under uncertainty: mathematical modeling and solution algorithm

Michel Gendreau

International Transactions in Operational Research, 2020

View PDFchevron_right

Mixed-Integer Nonlinear Programming Models and Algorithms for Large-Scale Supply Chain Design with Stochastic Inventory Management

Ignacio Grossmann

Industrial & Engineering Chemistry Research, 2008

View PDFchevron_right

Innovative Applications of O Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case

Jefry Kurniawan

View PDFchevron_right

Supply Chain Network Design Optimization Model for Multi-period Multi-product Under Uncertainty

Mohamed El-Ashhab

International Journal of Mechanical Engineering and Applications, 2017

View PDFchevron_right

A novel robust fuzzy stochastic programming for closed loop supply chain network design under hybrid uncertainty

mojtaba farrokh

Fuzzy Sets and Systems, 2017

View PDFchevron_right

Application of L-Shaped Decomposition Techniques for the Problem of Supply Chain Investment Planning under Demand Uncertainty

S. Hamacher

View PDFchevron_right

Design of Resilient Supply Chains with Risk of Facility Disruptions

Ignacio Grossmann

Industrial & Engineering Chemistry Research, 2014

View PDFchevron_right

A Bi-objective Mathematical Model for Closed-loop Supply Chain Network Design Problem

Mohammad Mousazadeh

2019

View PDFchevron_right

Stochastic programming approaches for risk aware supply chain network design problems

Francisco Saldanha da Gama

2010

View PDFchevron_right

Design of a Supply Chain-Based Production and Distribution System Based on Multi-Stage Stochastic Programming

John William Grimaldo Guerrero

View PDFchevron_right