A generalized Benders decomposition based algorithm for an inventory location problem with stochastic inventory capacity constraints

DOI10.1016/j.ejor.2017.12.017zbMath1403.90490OpenAlexW2778044374MaRDI QIDQ1754254

Marco Macchi, Francisco J. Tapia-Ubeda, Pablo A. Miranda

Publication date: 30 May 2018

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11311/1045065

zbMATH Keywords

locationgeneralized Benders decompositioncapacitated inventory location problemsmixed integer nonconvex-nonlinear programmingstrategic supply chain network design

Mathematics Subject Classification ID

Mixed integer programming (90C11) Inventory, storage, reservoirs (90B05) Discrete location and assignment (90B80)

Related Items (5)

Capacitated facility location-allocation problem for wastewater treatment in an industrial cluster ⋮ Fill‐rate service level constrained distribution network design ⋮ Integrating supplier selection decisions into an inventory location problem for designing the supply chain network ⋮ A risk-averse stochastic program for integrated system design and preventive maintenance planning ⋮ A study on the optimal inventory allocation for clinical trial supply chains

Uses Software

• SITATION
• MOD-DIST
• MENU-OKF

Cites Work

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• An improved Lagrangian relaxation-based heuristic for a joint location-inventory problem
• Location modeling for municipal solid waste facilities
• Solving a novel inventory location model with stochastic constraints and \((R,s,S)\) inventory control policy
• Nonconvex generalized Benders decomposition for stochastic separable mixed-integer nonlinear programs
• Demand point aggregation for planar covering location models
• The stochastic location model with risk pooling
• Facility location and supply chain management. A review
• Partitioning procedures for solving mixed-variables programming problems
• A heuristic algorithm for solving large location-inventory problems with demand uncertainty
• Integrated location-inventory modelling under forward and reverse product flows in the used merchandise retail sector: a multi-echelon formulation
• The Benders decomposition algorithm: a literature review
• The multi-sourcing location inventory problem with stochastic demand
• A survey on Benders decomposition applied to fixed-charge network design problems
• Strategic facility location: A review
• An inventory-location model: Formulation, solution algorithm and computational results
• A framework for demand point and solution space aggregation analysis for location models
• A facility location model with safety stock costs: analysis of the cost of single-sourcing requirements
• A simultaneous inventory control and facility location model with stochastic capacity constraints
• Integrated supply chain design models: a survey and future research directions
• Generalized Benders decomposition
• Quadratic Programming as an Extension of Classical Quadratic Maximization
• Nonconvex Generalized Benders Decomposition
• Supply chain network design with efficiency, location, and inventory policy using a multiobjective evolutionary algorithm
• Capacitated warehouse location model with risk pooling
• Hierarchical Production Planning: A Single Stage System
• Maximizing Submodular Set Functions: Formulations and Analysis of Algorithms
• Hierarchical Production Planning: A Two-Stage System
• The Simultaneous Planning of Production, Capacity, and Inventory in Seasonal Demand Environments
• Pioneering Developments in Location Analysis

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