The Experts below are selected from a list of 13827 Experts worldwide ranked by ideXlab platform
Harpal Singh - One of the best experts on this subject based on the ideXlab platform.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
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Winter Simulation Conference - 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 Title: Proceedings of the 2012 Winter Simulation Conference (WSC), 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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
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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), 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
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Winter Simulation Conference - 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 Title: Proceedings of the 2012 Winter Simulation Conference (WSC), 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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
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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), 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
Sarah J Nelson - One of the best experts on this subject based on the ideXlab platform.
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histopathological validation of a three dimensional magnetic resonance spectroscopy index as a predictor of tumor presence
Journal of Neurosurgery, 2002Co-Authors: Tracy R Mcknight, Mary Von Dem Bussche, Daniel B Vigneron, Ying Lu, Mitchel S Berger, Michael W Mcdermott, William P Dillon, Edward E Graves, Andrea Pirzkall, Sarah J NelsonAbstract:Object. Data obtained preoperatively from three-dimensional (3D)/proton magnetic resonance (MR) spectroscopy were compared with the results of histopathological assays of tissue biopsies obtained during surgery to verify the sensitivity and specificity of a choline-containing compound—N-acetylaspartate index (CNI) used to distinguish tumor from nontumorous tissue within T2 hyperintense and contrast-enhancing lesions of patients with untreated gliomas. The information gleaned from the biopsy correlation study was used to test the hypothesis that there is metabolically active tumor in nonenhancing regions of the T2-hyperintense lesion that can be detected using MR spectroscopy. Methods. Patients suspected of harboring a glioma underwent 3D MR spectroscopy during their preoperative MR imaging examination. Surgical navigation techniques were used to record the location of tissue biopsies collected during open resection of the tumor. A receiver Operating Curve analysis of the CNI and histological characteristi...
John Fournier - One of the best experts on this subject based on the ideXlab platform.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
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Winter Simulation Conference - 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 Title: Proceedings of the 2012 Winter Simulation Conference (WSC), 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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.
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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, 2012Co-Authors: Kenneth Fordyce, John Fournier, R. John Milne, Harpal SinghAbstract: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
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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), 2012Co-Authors: Kenneth Fordyce, John Fournier, John R. Milne, Harpal SinghAbstract: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.
Tracy R Mcknight - One of the best experts on this subject based on the ideXlab platform.
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histopathological validation of a three dimensional magnetic resonance spectroscopy index as a predictor of tumor presence
Journal of Neurosurgery, 2002Co-Authors: Tracy R Mcknight, Mary Von Dem Bussche, Daniel B Vigneron, Ying Lu, Mitchel S Berger, Michael W Mcdermott, William P Dillon, Edward E Graves, Andrea Pirzkall, Sarah J NelsonAbstract:Object. Data obtained preoperatively from three-dimensional (3D)/proton magnetic resonance (MR) spectroscopy were compared with the results of histopathological assays of tissue biopsies obtained during surgery to verify the sensitivity and specificity of a choline-containing compound—N-acetylaspartate index (CNI) used to distinguish tumor from nontumorous tissue within T2 hyperintense and contrast-enhancing lesions of patients with untreated gliomas. The information gleaned from the biopsy correlation study was used to test the hypothesis that there is metabolically active tumor in nonenhancing regions of the T2-hyperintense lesion that can be detected using MR spectroscopy. Methods. Patients suspected of harboring a glioma underwent 3D MR spectroscopy during their preoperative MR imaging examination. Surgical navigation techniques were used to record the location of tissue biopsies collected during open resection of the tumor. A receiver Operating Curve analysis of the CNI and histological characteristi...