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Process scheduling under uncertainty: Review and challenges

https://doi.org/10.1016/j.compchemeng.2007.03.001

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A multi-objective simulation optimisation scheduling model for a batch pharmaceutical manufacturing facility with uncertainties in processing time and electrical energy consumption

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Process optimization with consideration of uncertainties—An overview

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Risk conscious solution of planning problems under uncertainty by hybrid multi-objective evolutionary algorithms

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A state-space model for chemical production scheduling

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Multi-period design and planning of closed-loop supply chains with uncertain supply and demand

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Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty

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Model-based integration of control and operations: Overview, challenges, advances, and opportunities

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Medium-term maintenance turnaround planning under uncertainty for integrated chemical sites

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A reactive optimization strategy for the simultaneous planning, scheduling and control of short-period continuous reactors

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Optimal design of residential cogeneration systems under uncertainty

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Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty

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On deterministic online scheduling: Major considerations, paradoxes and remedies

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A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry

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Discrete-time mixed-integer programming models for short-term scheduling in multipurpose environments

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Data-driven robust optimization under correlated uncertainty: A case study of production scheduling in ethylene plant

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On improving the online performance of production scheduling: Application to air separation units

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Reprint of: Data-driven robust optimization under correlated uncertainty: A case study of production scheduling in ethylene plant

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Distributionally robust optimization for planning and scheduling under uncertainty

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Expanding scope and computational challenges in process scheduling

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Infeasibility resolution for multi-purpose batch process scheduling

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Data-driven rolling-horizon robust optimization for petrochemical scheduling using probability density contours

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Dynamic scheduling of multi-product continuous biopharmaceutical facilities: A hyper-heuristic framework

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Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming

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Unification of closed-loop scheduling and control: State-space formulations, terminal constraints, and nominal theoretical properties

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Parameterizations of data-driven nonlinear dynamic process models for fast scheduling calculations

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Framework for studying online production scheduling under endogenous uncertainty

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Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions

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Optimal scheduling of copper concentrate operations under uncertainty

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Cyclic reinforcement learning for generalization enhancement on T/C imbalance scheduling in TFT-LCD cell manufacturing

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Recent Progress on Data-Based Optimization for Mineral Processing Plants

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Chance Constrained Planning and Scheduling under Uncertainty using Robust Optimization Approximation

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A Comparison of Centralised and Decentralised Scheduling Methods Using a Simple Benchmark System

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Multistage Adaptive Optimization for Steelmaking and Continuous Casting Scheduling under Processing Time Uncertainty

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Closed-loop Rescheduling using Deep Reinforcement Learning

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Online Scheduling: Understanding the Impact of Uncertainty

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A framework for robust scheduling under stochastic perturbations

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Optimal energy management system for microgrids considering energy storage, demand response and renewable power generation

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Model based online scheduling of concurrent and equal batch process units: Sugar End industrial case study

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Production scheduling in dynamic real-time optimization with closed-loop prediction

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Optimization of production cost for integrating job shop scheduling with production resources

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Optimal design of supply chain networks under uncertain transient demand variations

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Parallelization in Automated Stem Cell Culture

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Towards a Methodology for Production Scheduling Using Reinforcement Learning Under Consideration of a Company's Individual Tasks and Goals

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Need and Opportunities for a ‘Plan B’ in Rail Track Inspection Schedules

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Stochastic optimization for joint energy-reserve dispatch considering uncertain carbon emission

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Integrated Operational Planning and Scheduling under Uncertainty

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Production Scheduling in the Process Industries: Current Trends, Emerging Challenges and Opportunities

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Risk Management in Production Planning under Uncertainty by Multi-Objective Hybrid Evolutionary Algorithms

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Systems, Modeling, and Computational Analysis

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CVaR-Based Approximations of Wasserstein Distributionally Robust Chance Constraints with Application to Process Scheduling

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Thermal Cracking of Hydrocarbons for the Production of Light Olefins; A Review on Optimal Process Design, Operation, and Control

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Recurrent Reinforcement Learning Strategy with a Parameterized Agent for Online Scheduling of a State Task Network Under Uncertainty

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