Perspectives for process systems engineering—Personal views from academia and industry
KU Klatt, W Marquardt - Computers & Chemical Engineering, 2009 - Elsevier
Process systems engineering (PSE) has been an active research field for almost 50 years.
Its major achievements include methodologies and tools to support process modeling …
Its major achievements include methodologies and tools to support process modeling …
A simulation-based optimization framework for parameter optimization of supply-chain networks
This work presents a novel approach that addresses the management of chemical supply
chains (SCs) under demand uncertainty. One of the main objectives is to overcome the …
chains (SCs) under demand uncertainty. One of the main objectives is to overcome the …
Optimization of water network synthesis for single-site and continuous processes: milestones, challenges, and future directions
Increasing water demand in the process and its allied industries coupled with global water
stress and scarcity has underlined the importance of water as a crucial resource and …
stress and scarcity has underlined the importance of water as a crucial resource and …
An agent-based approach for supply chain retrofitting under uncertainty
In this work, decisions that have a long lasting effect on the supply chain (SC) such as the
design and retrofit of a production/distribution network are considered. The retrofitting tasks …
design and retrofit of a production/distribution network are considered. The retrofitting tasks …
Agent oriented petroleum supply chain coordination: Co-evolutionary Particle Swarm Optimization based approach
Globalization has enhanced the need for effective management of supply chain in global
context. As the supply chain gets bigger, it becomes increasingly complex as the number of …
context. As the supply chain gets bigger, it becomes increasingly complex as the number of …
Accelerating learning in multi-objective systems through transfer learning
Large-scale, multi-agent systems are too complex for optimal control strategies to be known
at design time and as a result good strategies must be learned at runtime. Learning in such …
at design time and as a result good strategies must be learned at runtime. Learning in such …
[PDF][PDF] List of references on evolutionary multiobjective optimization
CAC Coello - URL< http://www. lania. mx/~ ccoello/EMOO …, 2010 - delta.cs.cinvestav.mx
List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …
Decision support for integrated refinery supply chains: Part 2. Design and operation
Supply chain management has continually attracted much attention as companies are
constantly looking into areas where they can cut costs and improve profit margin while …
constantly looking into areas where they can cut costs and improve profit margin while …
Homogenous multi-agent optimization for process systems engineering problems with a case study of computer aided molecular design
BH Gebreslassie, UM Diwekar - Chemical Engineering Science, 2017 - Elsevier
In this paper, we propose a novel homogenous multi-agent optimization (HMAO) framework
for optimal design of large scale process system engineering problems. The platform is …
for optimal design of large scale process system engineering problems. The platform is …
Statistical monitoring of complex chemical processes using agent-based systems
It is highly desirable to have a statistical process monitoring (SPM) system that detects the
abnormalities in process operations quickly with as few missed and false alarms as possible …
abnormalities in process operations quickly with as few missed and false alarms as possible …