a new framework for batch process optimization using

A New Framework for Batch Process Optimization Using the ...

Dec 12, 2002  The framework considers a batch recipe model that interacts with a plant-wide model to constitute the so-called flexible recipe model. First, the potential use of this framework is shown by integrating a general multipurpose batch process scheduling algorithm into

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A New Framework for Batch Process Optimization Using the ...

A New Framework for Batch Process Optimization Using the Flexible Recipe Javier Romero,† Antonio Espun˜a,† Ferenc Friedler,‡ and Luis Puigjaner*,† Chemical Engineering Department, Universidad Polite´cnica de Catalunya, Diagonal 647, E-08028 Barcelona, Spain, and Department of Computer Science, Universita¨t Veszpre´m, Egyetem u´. 10, H-82000 Veszpre´m, Hungary

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(PDF) A new framework for batch process optimization using ...

A new framework for batch process optimization using the flexible recipe

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PsiDB: A Framework for Batched Query Processing and ...

existing batch processing systems, but also revealed new optimization opportunities. Experiments conducted on an early prototype of PsiDB show a performance improvement of up to 50X over a mainstream commercial RDBMS. Following the development of the system and showing how e ective they are in handling large

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Real Time Batch Process Optimization within the ...

Jan 01, 2002  In this work, a new framework for the recipe correction is introduced. The aim of this approach is to optimize the entire batch process in front of disturbances. It is proposed a framework for generating the corrected control recipe from the initialized (master) control recipe.

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What's New in Batch Processing - Microsoft Dynamics

Keep the framework healthy by using clean-up mechanisms Monitor batch during operations Do not flood the batch framework Test scalability of your batch scenarios Tune your batch framework Do fine tune batch server allocation or scheduling priority of batch groups Do not assume unlimited scalability

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Integrated scheduling and dynamic optimization of batch ...

Jan 12, 2012  A systematic framework for the integration of short-term scheduling and dynamic optimization (DO) of batch processes is described. The state equipment network (SEN) is used to represent a process system, where it decomposes the process into two basic kinds of entities: process materials and process units.

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PsiDB: A Framework for Batched Query Processing and ...

existing batch processing systems, but also revealed new optimization opportunities. Experiments conducted on an early prototype of PsiDB show a performance improvement of up to 50X over a mainstream commercial RDBMS. Following the development of the system and showing how e ective they are in handling large

get price

Real Time Batch Process Optimization within the ...

Jan 01, 2002  In this work, a new framework for the recipe correction is introduced. The aim of this approach is to optimize the entire batch process in front of disturbances. It is proposed a framework for generating the corrected control recipe from the initialized (master) control recipe.

get price

What's New in Batch Processing - Microsoft Dynamics

Keep the framework healthy by using clean-up mechanisms Monitor batch during operations Do not flood the batch framework Test scalability of your batch scenarios Tune your batch framework Do fine tune batch server allocation or scheduling priority of batch groups Do not assume unlimited scalability

get price

Pyosyn: A new framework for conceptual design modeling and ...

The solution procedure involves an iterative sequence of forward simulation of the differential algebraic equations pertaining to the microkinetic model using a numerical tool capable of handling stiff systems, sensitivity calculations using linear algebra, and gradient-based nonlinear optimization.

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(PDF) A novel model-based approach to optimization and ...

A new framework for batch process optimization using the flexible recipe. By Ferenc Friedler. Batch production control in a computer integrated manufacturing environment. By Luis Puigjaner. Modelling biopharmaceutical manufacture: Design and implementation of SimBiopharma.

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Pyosyn: a new framework for conceptual design modeling

Pyosyn: a new framework for conceptual design modeling and optimization Qi Chena, Yunshan Liua, Grant Seastreama, John D. Siirolab, Ignacio E. Grossmanna, aCenter for Advanced Process Decision-Making, Carnegie Mellon University, Pittsburgh, PA 15213 bSandia National Laboratories, Albuquerque, NM 87123 Abstract We present Pyosyn, an open-source framework for systematic

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Hudi: Uber Engineering’s Incremental Processing Framework ...

Mar 12, 2017  Uber Engineering’s Incremental Processing Framework on Hadoop. With the evolution of storage formats like Apache Parquet and Apache ORC and query engines like Presto and Apache Impala, the Hadoop ecosystem has the potential to become a general-purpose, unified serving layer for workloads that can tolerate latencies of a few minutes.In order to achieve this, however, it requires

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Unified Approach for the Optimization of Energy and Water ...

A unified framework providing for the simultaneous reduction of energy and wastewater in multipurpose batch plants is presented in this paper. Unlike many current methods, the schedule is not predefined. Time is treated as a variable leading to the optimization of the schedule together with water and energy usage simultaneously. Since a flexible process schedule is employed, an improved result ...

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A Modular Framework for the Modelling and Optimization

Keywords: CADET-Process, column configuration, preparative chromatography, Optimization, process design Abstract: A framework is introduced for the systematic development of preparative chromatographic processes. It is intended for the optimal design of conventional and advanced concepts that exploit strategies, such as recycling, side streams ...

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(733e) A New Framework for Dynamic Parameter Estimation ...

(733e) A New Framework for Dynamic Parameter Estimation and Optimization of Batch Distillation Columns

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A feedback-based implementation scheme for batch process ...

A feedback-based implementation scheme for batch process optimization E. Vissera, B. Srinivasana, S. Palankib, D. Bonvina,* aInstitut d’automatique, E´cole Polytechnique Fe´de´rale de Lausanne, CH-1015 Lausanne, Switzerland bFlorida State University, Tallahassee, FL, USA Abstract The terminal-cost optimization of a control–a†ne nonlinear system leads to a discontinuous solution that ...

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GPflowOpt: A Bayesian Optimization Library using

velopment of a new framework: we intended to create an interface that is straightforward to use, ... (DoE) to start the Bayesian optimization process. On the other hand GPyOpt supports batch BO, which is currently still in development for GPflowOpt and was not part of the first release. In terms of efficient hardware usage a native ...

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Gryffin: An algorithm for Bayesian optimization of ...

16 小时前  We identify four key advantages of G ryffin: it (i) provides a framework for categorical optimization that is competitive with state-of-the-art algorithms in its naïve formulation, (ii) outperforms the state-of-the-art when taking advantage of expert knowledge in the form of descriptors, (iii) can inspire scientific insights, and (iv) can be ...

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Article Metrics Batch-normalized Mlpconv-wise supervised ...

Jul 16, 2021  Deep multi-layered neural networks have nonlinear levels that allow them to represent highly varying nonlinear functions compactly. In this paper, we propose a new deep architecture with enhanced model discrimination ability that we refer to as mlpconv-wise supervised pre-training network in network (MPNIN). The process of information abstraction is facilitated within the receptive fields for ...

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PsiDB: A Framework for Batched Query Processing and ...

techniques adopted in existing batch processing systems, but also revealed new optimization opportunities. Experiments conducted on an early prototype of PsiDB show a performance improvement of up to 36X over a mainstream commercial DBMS. Index Terms—Batch processing, Query processing, Query optimization, Equivalence rules I. Introduction

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Approaches to Optimize Batch Processing on z/OS

Batch performance optimization remains an important topic for many companies today, whether merging workloads, supporting growth, reducing cost, or extending the online day. This IBM® Redpaper™ publication describes a general approach that can be used to optimize the batch window in a z/OS® environment. This paper outlines a structured

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A feedback-based implementation scheme for batch process ...

A feedback-based implementation scheme for batch process optimization E. Vissera, B. Srinivasana, S. Palankib, D. Bonvina,* aInstitut d’automatique, E´cole Polytechnique Fe´de´rale de Lausanne, CH-1015 Lausanne, Switzerland bFlorida State University, Tallahassee, FL, USA Abstract The terminal-cost optimization of a control–a†ne nonlinear system leads to a discontinuous solution that ...

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Optimization Framework - an overview ScienceDirect Topics

A mathematical optimization framework is presented for the integrated synthesis of batch plants and utility systems. Usually, synthesis starts with the design of the batch plant. Subsequently, the utility system is designed to supply the batch plant with energy. In general, such a sequential synthesis approach leads to a suboptimal overall design.

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Ordered SGD: A New Stochastic Optimization Framework

Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization minimization process for the empirical average loss, whereas our proposed method turns out to minimize a new objective function by purposely constructing a biased gradient. Our main contributions can be summarized as follows:

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A Simulation-Optimization Framework for ...

for pipeless batch plants to study the sensitivity of the sched-ule to processing and travel time perturbations. Honkomp et al. 1999 developed a framework for directly incorporatingŽ. schedules into a batch process simulator for the purposes of schedule validation and testing of rescheduling methodolo-gies when stochastic events occur.

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Ordered SGD: A New Stochastic Optimization Framework

Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization all aforementioned studies are aimed to accelerate the minimization process for the empirical average loss, whereas our proposed method turns out to minimize a new objective function by

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A Modular Framework for the Modelling and Optimization

Jan 03, 2020  Overview of the framework modules and their relations. For a detailed explanation, see text. 2.1. Process Model Starting point of process development is the setup of the ProcessModel (see top of Figure1), i.e., the specific configuration of the chromatographic process. This is realized using UnitOperations as building blocks.

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Quantile Stein Variational Gradient Descent for Batch ...

in batch Bayesian optimization (e.g., Kathuria et al., 2016). However, our work is different in that we jointly consider both diversity and risk aversion as our design principle, and propose a novel variational query optimization framework that integrates quantile-based risk measures with SVGD. Beyond batch query optimization, there has been a sig-

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Unified Approach for the Optimization of Energy and Water ...

A unified framework providing for the simultaneous reduction of energy and wastewater in multipurpose batch plants is presented in this paper. Unlike many current methods, the schedule is not predefined. Time is treated as a variable leading to the optimization of the schedule together with water and energy usage simultaneously. Since a flexible process schedule is employed, an improved result ...

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High-Performance Batch Processing Using Apache Spark and ...

May 16, 2021  Batch processing is dealing with a large amount of data; it actually is a method of running high-volume, repetitive data jobs and each job does a specific task without user interaction.

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GPflowOpt: A Bayesian Optimization Library using

velopment of a new framework: we intended to create an interface that is straightforward to use, ... (DoE) to start the Bayesian optimization process. On the other hand GPyOpt supports batch BO, which is currently still in development for GPflowOpt and was not part of the first release. In terms of efficient hardware usage a native ...

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A comparison on scalability for batch big data processing ...

Mar 01, 2017  The large amounts of data have created a need for new frameworks for processing. The MapReduce model is a framework for processing and generating large-scale datasets with parallel and distributed algorithms. Apache Spark is a fast and general engine for large-scale data processing based on the MapReduce model. The main feature of Spark is the in-memory computation.

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Validation and optimization of batch and continuous ...

Oct 10, 2018  This technical report presents the recent development and application of the Optimization Toolset and the framework for process optimization of particle separation in batch and continuous processes. In these processes, a fluidized bed reactor under proper operating condition was used to separate particles of different physical properties.

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