J. Wassick

发表

Discrete Time Formulation for the Integration of Scheduling and Dynamic Optimization

L. Biegler, Yisu Nie, C. Villa, 2015 .

Extended Discrete-Time Resource Task Network Formulation for the Reactive Scheduling of a Mixed Batch/Continuous Process

L. Biegler, Yisu Nie, C. Villa, 2014 .

Hybrid Bilevel-Lagrangean Decomposition Scheme for the Integration of Planning and Scheduling of a Network of Batch Plants

B. A. Calfa, I. Grossmann, A. Agarwal, 2013 .

A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank Farm Operations

I. Grossmann, J. Wassick, S. Terrazas-Moreno, 2012 .

ADDRESSING THE OPERATIONAL CHALLENGES IN THE MANUFACTURE OF ADVANCED MATERIALS AND PERFORMANCE PRODUCTS

S. Bury, A. Agarwal, J. Wassick, 2011 .

Agent-based Modeling and Simulation for an Order-To-Cash Process using NetLogo

Kathleen M. Carley, N. Sahinidis, J. Wassick, 2017 .

OR-Gym: A Reinforcement Learning Library for Operations Research Problem pdf

Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick, 2020, ArXiv.

Real Option Management of Hydrocarbon Cracking Operations

N. Secomandi, J. Wassick, Selvaprabu Nadarajah, 2014 .

Scheduling of Batch Plants

John M. Wassick, J. Wassick, 2015, Encyclopedia of Systems and Control.

Solving a Real-world Supply-Chain Management Problem Using a Bilevel Evolutionary Approach COIN Report Number 2017009

K. Deb, E. Goodman, J. Wassick, 2017 .

Reaction variants and invariants based observer and controller design for CSTRs

B. Ydstie, J. Wassick, Jeff Ferrio, 2016 .

Parameters estimation and model discrimination for solid-liquid reactions in batch processes

Yajun Wang, Lorenz T. Biegler, Mukund Patel, 2018, Chemical Engineering Science.

A digital twin framework for online optimization of supply chain business processes

Hector D. Perez, I. Grossmann, J. Wassick, 2022, Comput. Chem. Eng..

Application of formal verification and falsification to large-scale chemical plant automation systems

John M. Wassick, B. Erik Ydstie, Blake C. Rawlings, 2017, Comput. Chem. Eng..

Efficient scheduling method of complex batch processes with general network structure via agent‐based modeling

Fengqi You, John M. Wassick, Yunfei Chu, 2013 .

A Distributed Ledger for Supply Chain Physical Distribution Visibility

Zina Ben Miled, Brian King, Zhijie Li, 2017, Inf..

On the Integration of Event-Based and Transaction-Based Architectures for Supply Chains

Zina Ben Miled, Brian King, Zhijie Li, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW).

From rescheduling to online scheduling

John M. Wassick, Christos T. Maravelias, Dhruv Gupta, 2016 .

Evaluating and monitoring distribution network efficiency with multivariate process control methods

Hakan Yildiz, John M. Wassick, Peihua Qiu, 2021, Int. J. Prod. Res..

Risk Management for a Global Supply Chain Planning Under Uncertainty : Models and Algorithms

Fengqi You, Ignacio E. Grossmann, John M. Wassick, 2009 .

Data-Driven Simulation and Optimization Approaches To Incorporate Production Variability in Sales and Operations Planning

Ignacio E. Grossmann, John M. Wassick, Scott J. Bury, 2015 .

A deep reinforcement learning approach for chemical production scheduling

Nikolaos V. Sahinidis, Ignacio E. Grossmann, John M. Wassick, 2020, Comput. Chem. Eng..

Scope for industrial applications of production scheduling models and solution methods

Pedro M. Castro, Ignacio E. Grossmann, Sebastian Engell, 2014, Comput. Chem. Eng..

Sustainable supply chain optimisation: An industrial case study

Qi Zhang, Nilay Shah, John M. Wassick, 2014, Comput. Ind. Eng..

Data-Driven Optimization of an Industrial Batch Polymerization Process Using the Design of Dynamic Experiments Methodology

Christos Georgakis, John M. Wassick, Leo H. Chiang, 2020 .

OR-Gym: A Reinforcement Learning Library for Operations Research Problem

Christian D. Hubbs, Hector D. Perez, I. Grossmann, 2020, ArXiv.

Extending the resource task network for industrial applications

John M. Wassick, Jeff Ferrio, J. Wassick, 2011, Comput. Chem. Eng..

Reactor modeling and recipe optimization of polyether polyol processes: Polypropylene glycol

Lorenz T. Biegler, John M. Wassick, Carlos M. Villa, 2013 .

Data-driven individual and joint chance-constrained optimization via kernel smoothing

Ignacio E. Grossmann, John M. Wassick, Scott J. Bury, 2015, Comput. Chem. Eng..

Enterprise-wide optimization in an integrated chemical complex

John M. Wassick, J. Wassick, 2009, Comput. Chem. Eng..

Design of Resilient Supply Chains with Risk of Facility Disruptions

Ignacio E. Grossmann, John M. Wassick, Pablo Garcia-Herreros, 2014 .

A Hybrid Blockchain Ledger for Supply Chain Visibility

Zina Ben Miled, Brian King, Zhijie Li, 2018, 2018 17th International Symposium on Parallel and Distributed Computing (ISPDC).

Synchronous and asynchronous decision making strategies in supply chains

Marianthi G. Ierapetritou, John M. Wassick, Nihar Sahay, 2014, Comput. Chem. Eng..

Multivariable Internal Model Control Designed for a Full Scale Industrial Distillation Column

John M. Wassick, R. Lal Tummala, R. Tummala, 1987, 1987 American Control Conference.

Multivariable internal model control for a full-scale industrial distillation column

J.M. Wassick, R.L. Tummala, R. Tummala, 1989, IEEE Control Systems Magazine.

Efficient formulations for dynamic warehouse location under discrete transportation costs

Ignacio E. Grossmann, John M. Wassick, Anshul Agarwal, 2017, Comput. Chem. Eng..

Incorporating automation logic in online chemical production scheduling

Stéphane Lafortune, John M. Wassick, Christos T. Maravelias, 2019, Comput. Chem. Eng..

Optimization of grade transitions in polyethylene solution polymerization process under uncertainty

Lorenz T. Biegler, John M. Wassick, Jun Shi, 2016, Comput. Chem. Eng..

Integrated scheduling and dynamic optimization of batch processes using state equipment networks

Lorenz T. Biegler, John M. Wassick, Yisu Nie, 2012 .

Data-driven multi-stage scenario tree generation via statistical property and distribution matching

Ignacio E. Grossmann, John M. Wassick, Bruno A. Calfa, 2014, Comput. Chem. Eng..

Reactor Modeling and Recipe Optimization of Ring-Opening Polymerization: Block Copolymers

Lorenz T. Biegler, John M. Wassick, Carlos M. Villa, 2014 .

Optimizing inventory policies in process networks under uncertainty

Ignacio E. Grossmann, John M. Wassick, Anshul Agarwal, 2016, Comput. Chem. Eng..