Multistage stochastic programming approach for joint optimization of job scheduling and material ordering under endogenous uncertainties

DOI10.1016/j.ejor.2020.08.057zbMath1487.90339OpenAlexW3081930559MaRDI QIDQ2029905

Yue Sha, Junlong Zhang, Hui Cao

Publication date: 4 June 2021

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2020.08.057

zbMATH Keywords

multistage stochastic programmingjob schedulingmaterial orderingendogenous uncertainties

Mathematics Subject Classification ID

Stochastic programming (90C15) Stochastic scheduling theory in operations research (90B36)

Related Items (1)

Target-based distributionally robust optimization for single machine scheduling

Cites Work

• Solving stochastic resource-constrained project scheduling problems by closed-loop approximate dynamic programming
• On a queueing-inventory with reservation, cancellation, common life time and retrial
• The multi server \(M/M/(s,S)\) queueing inventory system
• Optimization of R\&D project portfolios under endogenous uncertainty
• Modeling methods and a branch and cut algorithm for pharmaceutical clinical trial planning using stochastic programming
• Multi-stage stochastic optimization applied to energy planning
• Complexity of scheduling multiprocessor tasks with prespecified processors allocations
• Inference of statistical bounds for multistage stochastic programming problems
• The preemptive stochastic resource-constrained project scheduling problem
• Optimal and near-optimal inventory control policies for a make-to-order inventory-production system
• Executing production schedules in the face of uncertainties: a review and some future directions
• On structure and stability in stochastic programs with random technology matrix and complete integer recourse
• Valuing portfolios of interdependent real options under exogenous and endogenous uncertainties
• Dynamic inventory strategies for profit maximization in a service facility with stochastic service, demand and lead time
• Computational strategies for non-convex multistage MINLP models with decision-dependent uncertainty and~gradual uncertainty resolution
• A class of stochastic programs with decision dependent uncertainty
• The Sample Average Approximation Method for Stochastic Discrete Optimization
• Introduction to Stochastic Programming
• Integrated Production and Outbound Distribution Scheduling: Review and Extensions
• Oil field optimization under price uncertainty
• A Decomposition-Based Genetic Algorithm for the Resource-Constrained Project-Scheduling Problem
• Stochastic Decomposition: An Algorithm for Two-Stage Linear Programs with Recourse
• Minimizing total completion time in two-processor task systems with prespecified processor allocations
• Optimal Integrated Ordering and Production Policy in a Supply Chain With Stochastic Lead-Time, Processing-Time, and Demand
• On the Convergence of Decomposition Methods for Multistage Stochastic Convex Programs
• Inventory control
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Multistage stochastic programming approach for joint optimization of job scheduling and material ordering under endogenous uncertainties