Process Optimization

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Bjørn-helge Mevik - One of the best experts on this subject based on the ideXlab platform.

  • Robustness of Robust Process Optimization
    Quality Engineering, 2002
    Co-Authors: Bjørn-helge Mevik
    Abstract:

    [This abstract is based on the author's abstract.] Different strategies for robust Process Optimization have been used to solve the problem of unwanted variation in production Processes, but a number of factors can influence the precision of the me..

  • Using raw material measurements in robust Process Optimization
    Chemometrics and Intelligent Laboratory Systems, 2001
    Co-Authors: Bjørn-helge Mevik, Ellen Mosleth Færgestad, Marit Risberg Ellekjær, Tormod Næs
    Abstract:

    Abstract Unwanted variation due to variable raw material quality is often a problem in production Processes. Robust Process Optimization seeks to reduce the effects of such variation by identifying settings of the adjustable factors that makes the Process less sensitive to the variations. This paper develops a unified framework for studying and developing robust Process Optimization and Process control techniques. We divide the factors of the Process into groups based on characterizations of their properties. We also develop a robust Process Optimization technique for batch-wise Processes, called batch-wise robust Process Optimization, which utilizes all available measurements of raw material qualities at the start of each production batch. The technique achieves a reduction of variability due to variation in raw material qualities, compared to ordinary robust Process Optimization. Two examples taken from baking of hearth bread illustrate the technique.

Tormod Næs - One of the best experts on this subject based on the ideXlab platform.

  • Using raw material measurements in robust Process Optimization
    Chemometrics and Intelligent Laboratory Systems, 2001
    Co-Authors: Bjørn-helge Mevik, Ellen Mosleth Færgestad, Marit Risberg Ellekjær, Tormod Næs
    Abstract:

    Abstract Unwanted variation due to variable raw material quality is often a problem in production Processes. Robust Process Optimization seeks to reduce the effects of such variation by identifying settings of the adjustable factors that makes the Process less sensitive to the variations. This paper develops a unified framework for studying and developing robust Process Optimization and Process control techniques. We divide the factors of the Process into groups based on characterizations of their properties. We also develop a robust Process Optimization technique for batch-wise Processes, called batch-wise robust Process Optimization, which utilizes all available measurements of raw material qualities at the start of each production batch. The technique achieves a reduction of variability due to variation in raw material qualities, compared to ordinary robust Process Optimization. Two examples taken from baking of hearth bread illustrate the technique.

Michael Oelgemoller - One of the best experts on this subject based on the ideXlab platform.

Dinesh S Bhalerao - One of the best experts on this subject based on the ideXlab platform.

  • Synthesis and Process Optimization of Boceprevir: A Protease Inhibitor Drug
    Organic Process Research & Development, 2014
    Co-Authors: Dinesh S Bhalerao, Anil Kumar Reddy Arkala, Y. V. Madhavi, M. Nagaraju, Srinivas Reddy Gade, U. K. Syam Kumar, Rakeshwar Bandichhor, Vilas Hareshwar Dahanukar
    Abstract:

    Efforts toward the synthesis and Process Optimization of boceprevir 1 are described. Boceprevir synthesis was optimized by telescoping the first three steps and last two steps of the five-step Process. Optimization of oxidation, which is one of the critical steps in the total synthesis, is discussed. A control strategy for the three impurities is described. A novel Process for the synthesis of fragment A (2) has been developed, which is the key starting material for the synthesis of boceprevir.

  • synthesis and Process Optimization of amtolmetin an antiinflammatory agent
    Organic Process Research & Development, 2010
    Co-Authors: Lekkala Amarnath Reddy, Saurya Chakraborty, Rodda Swapna, Dinesh S Bhalerao, Golla China Malakondaiah, Gade Srinivas Reddy, Jyothirmayi Naram, Mylavarapu Ravikumar, Abhijeet Kumar, Namrata Dwivedi
    Abstract:

    Efforts toward the synthesis and Process Optimization of amtolmetin guacil 1 are described. High-yielding electrophilic substitution followed by Wolf−Kishner reduction are the key features in the novel synthesis of tolmetin 2 which is an advanced intermediate of 1.

H.t. Hahn - One of the best experts on this subject based on the ideXlab platform.

  • Resin transfer molding Process Optimization
    Composites Part A: Applied Science and Manufacturing, 2000
    Co-Authors: Mark Y. Lin, M J Murphy, H.t. Hahn
    Abstract:

    The art of Process Optimization requires a clear understanding of the differences between each of the widely different Optimization strategies available. Often, a sophisticated method that has been well tested in other fields is not applicable at all to problems in resin transfer molding (RTM). This work discusses the strength and weakness of the genetic algorithm and the gradient based algorithms. Two different types of RTM Process Optimization have been documented. In the first case, gate locations are optimized to minimize the fill time. The optimum design variables were located using the quasi-Newtonian method implemented in the code GLO. In the second case, the permeability of the high permeability layers is varied to minimize resin waste in addition to minimizing the fill time. For this problem, a graphical search was used to locate the optimum design.