A Stochastic Programming Approach to Design Perishable Product Supply Chain Network Under Different Disruptions

DOI10.1007/978-3-030-34152-7_50zbMath1436.90014OpenAlexW3004992277MaRDI QIDQ3297315

Pravin Suryawanshi, Pankaj Dutta

Publication date: 3 July 2020

Published in: Recent Advances in Intelligent Information Systems and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-34152-7_50

zbMATH Keywords

stochastic programmingsupply chaindisruptionsscenario based planning

Mathematics Subject Classification ID

Stochastic programming (90C15) Inventory, storage, reservoirs (90B05)

Uses Software

• CPLEX

Cites Work

• Supply chain inventory optimization with two customer classes in discrete time
• Inventory systems with stochastic demand and supply: properties and approximations
• Facility location and supply chain management. A review
• Supply chain network design under uncertainty: a comprehensive review and future research directions
• Robust supply chain network design: an optimization model with real world application
• Integrated supply chain design models: a survey and future research directions
• Introduction to Stochastic Programming
• Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics
• The Asymptotic Optimality of the SPT Rule for the Flow Shop Mean Completion Time Problem

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