The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform

Harpal Singh - One of the best experts on this subject based on the ideXlab platform.

  • tutorial illusion of capacity challenge of incorporating the complexity of fab capacity tool deployment operating curve into Central Planning for firms with substantial non fab complexity
    Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

  • Tutorial: Illusion of capacity - Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings - Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication fa- cilities (FABS) as a component of a complex demand supply network(DSN) where much of the complex- ity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computa- tional and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; op- tions proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions

  • Tutorial: Illusion of capacity — Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

Kenneth Fordyce - One of the best experts on this subject based on the ideXlab platform.

  • tutorial illusion of capacity challenge of incorporating the complexity of fab capacity tool deployment operating curve into Central Planning for firms with substantial non fab complexity
    Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

  • Tutorial: Illusion of capacity - Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings - Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication fa- cilities (FABS) as a component of a complex demand supply network(DSN) where much of the complex- ity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computa- tional and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; op- tions proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions

  • Tutorial: Illusion of capacity — Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

John Fournier - One of the best experts on this subject based on the ideXlab platform.

  • tutorial illusion of capacity challenge of incorporating the complexity of fab capacity tool deployment operating curve into Central Planning for firms with substantial non fab complexity
    Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

  • Tutorial: Illusion of capacity - Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings - Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication fa- cilities (FABS) as a component of a complex demand supply network(DSN) where much of the complex- ity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computa- tional and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; op- tions proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions

  • Tutorial: Illusion of capacity — Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

John R. Milne - One of the best experts on this subject based on the ideXlab platform.

  • tutorial illusion of capacity challenge of incorporating the complexity of fab capacity tool deployment operating curve into Central Planning for firms with substantial non fab complexity
    Winter Simulation Conference, 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

  • Tutorial: Illusion of capacity — Challenge of incorporating the complexity of FAB capacity (tool deployment & operating curve) into Central Planning for firms with substantial non-fab complexity
    Proceedings of the 2012 Winter Simulation Conference (WSC), 2012
    Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal Singh
    Abstract:

    Since the early 1990s, organizations have focused on making smarter decisions in their integrated supply chain Central Planning, but the representation of capacity and cycle time has remained static and linear in contrast to its complex nature. This includes Central Planning for firms with semiconductor fabrication facilities (FABS) as a component of a complex demand supply network(DSN) where much of the complexity is non-FAB. Developing more intelligent solutions for capacity in Central Planning within computational and process limitations is a critical challenge. For DSNs with FABS, twin challenges are tool deployment and the operating curve. Many in the FAB community are aware of these complexities; options proposed and some implemented within “aggregate FAB Planning,” rarely within Central Planning. This tutorial reviews the current state of Central Planning with respect to capacity and cycle time, outlines the challenges these complexities place on Central Planning structures, and indicates possible solutions.

Hana Nielsen - One of the best experts on this subject based on the ideXlab platform.

  • the czechoslovak iron and steel industry productive efficiency under state socialism in a comparative perspective
    Energy Procedia, 2015
    Co-Authors: Hana Nielsen
    Abstract:

    Czechoslovak productive efficiency of the iron and steel sector fluctuated below the energy efficiency frontier. Until early 1970s, the country's iron sector was one of the least efficient ones in our sample. It was, however, during the decades of 1970s and 1980s that efficiency measures were adopted and the energy efficiency of the Czechoslovak iron and steel sector increased significantly to, despite of a priori expectations, reach the energy efficiency frontier. Empirical results for other planned economies show similar development of catching-up to the market economies, particularly in the iron production sector. Central-Planning was thus able to achieve satisfactory productivity increases, primarily driven by efficiency enhancements and in spite of the slow adoption of new technology. (C) 2015 The Authors. Published by Elsevier Ltd. (Less)