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• 11. [Article] Organizational Change and Racial Equity: Implications for Capacity-Building Practice for Organizations and Networks

  The changing environment both locally and nationally has heightened the need of nonprofit leadership and organizations to address issues of racial and ethnic disparities with more equitable systems and ...

  Citation × Citation Citation Abstract Copy Title: Organizational Change and Racial Equity: Implications for Capacity-Building Practice for Organizations and Networks Author: Hill, Curdina, Curry-Stevens, Ann Year: 2016 The changing environment both locally and nationally has heightened the need of nonprofit leadership and organizations to address issues of racial and ethnic disparities with more equitable systems and practice. This article examines the research on nonprofit organizational change through a racial equity lens and looks at implications for nonprofit capacity builders in using this research to create more effective long-term change. Title: Organizational Change and Racial Equity: Implications for Capacity-Building Practice for Organizations and Networks Author: Hill, Curdina, Curry-Stevens, Ann Year: 2016 The changing environment both locally and nationally has heightened the need of nonprofit leadership and organizations to address issues of racial and ethnic disparities with more equitable systems and practice. This article examines the research on nonprofit organizational change through a racial equity lens and looks at implications for nonprofit capacity builders in using this research to create more effective long-term change. Close

• 12. [Article] Impact Analysis of Increased Dispatchable Resources on a Utility Feeder in OpenDSS

  Oregon utilities are replacing their portfolios of traditional fossil fuel generation with renewable generating sources. Stepping away from carbon-producing energy will leave a deficit of on-demand power, ...

  Citation × Citation Citation Abstract Copy Title: Impact Analysis of Increased Dispatchable Resources on a Utility Feeder in OpenDSS Author: Eppinger, Crystal Year: 2017 Oregon utilities are replacing their portfolios of traditional fossil fuel generation with renewable generating sources. Stepping away from carbon-producing energy will leave a deficit of on-demand power, resulting in decreased reliability. To overcome these technical challenges, utilities must maximize the use of their present dispatchable resources. One such resource is the Portland General Electric (PGE) Dispatchable Standby Generation Program (DSG), which is an aggregated 105 MWs of distributed generation (DG). These resources are brought on-line when there is a critical need for power. Resources are added to the program if a transfer trip scheme is in place or a modeling study reveals that the feeder load is at least three times the generator capacity. If the load-to-capacity ratio were lower, more assets could be added to the DSG program. To investigate the impacts of lowering the DG load-to-capacity ratio on existing distribution feeders, we use Open-Source Distribution System Simulator (OpenDSS). We modeled the Oxford Rural feeder by converting a utility CYME database to instantiation files using several MATLAB programs. A MATLAB control program varies the load-to-capacity ratio of the OpenDSS feeder model and monitors the generator behavior immediately following a fault. We analyzed the results to determine the ideal load-to-capacity ratio that prevents unintentional islanding. The results show that the instantaneous (50) relay element settings dictate both the minimum load-to-capacity ratio and the maximum DG capacity. The present three-to-one ratio is very conservative and can be reduced. Additional dispatchable resources include a five MW battery-inverter system currently used as grid-back up. The battery is grid-tied to a 12.4 kV feeder making it an ideal candidate for conservation voltage reduction (CVR). Using the same feeder model, we investigated the effects of lowering the system voltage to the allowable minimum using injections of reactive power. A lower system voltage reduces the load at peak times. Conversely, increasing the voltage prevents generation conflicts. To determine the benefit of CVR by VAr-injection on the Oxford Rural feeder, we created a MATLAB optimization program to output the optimal feeder voltage for reduced system power. We use a Simulink feedback model to determine the appropriate reactive power needed to achieve the voltage change. We analyze the system model to reveal that the feeder is ideal for CVR but the system capacity must be increased to achieve the maximum power reduction. Title: Impact Analysis of Increased Dispatchable Resources on a Utility Feeder in OpenDSS Author: Eppinger, Crystal Year: 2017 Oregon utilities are replacing their portfolios of traditional fossil fuel generation with renewable generating sources. Stepping away from carbon-producing energy will leave a deficit of on-demand power, resulting in decreased reliability. To overcome these technical challenges, utilities must maximize the use of their present dispatchable resources. One such resource is the Portland General Electric (PGE) Dispatchable Standby Generation Program (DSG), which is an aggregated 105 MWs of distributed generation (DG). These resources are brought on-line when there is a critical need for power. Resources are added to the program if a transfer trip scheme is in place or a modeling study reveals that the feeder load is at least three times the generator capacity. If the load-to-capacity ratio were lower, more assets could be added to the DSG program. To investigate the impacts of lowering the DG load-to-capacity ratio on existing distribution feeders, we use Open-Source Distribution System Simulator (OpenDSS). We modeled the Oxford Rural feeder by converting a utility CYME database to instantiation files using several MATLAB programs. A MATLAB control program varies the load-to-capacity ratio of the OpenDSS feeder model and monitors the generator behavior immediately following a fault. We analyzed the results to determine the ideal load-to-capacity ratio that prevents unintentional islanding. The results show that the instantaneous (50) relay element settings dictate both the minimum load-to-capacity ratio and the maximum DG capacity. The present three-to-one ratio is very conservative and can be reduced. Additional dispatchable resources include a five MW battery-inverter system currently used as grid-back up. The battery is grid-tied to a 12.4 kV feeder making it an ideal candidate for conservation voltage reduction (CVR). Using the same feeder model, we investigated the effects of lowering the system voltage to the allowable minimum using injections of reactive power. A lower system voltage reduces the load at peak times. Conversely, increasing the voltage prevents generation conflicts. To determine the benefit of CVR by VAr-injection on the Oxford Rural feeder, we created a MATLAB optimization program to output the optimal feeder voltage for reduced system power. We use a Simulink feedback model to determine the appropriate reactive power needed to achieve the voltage change. We analyze the system model to reveal that the feeder is ideal for CVR but the system capacity must be increased to achieve the maximum power reduction. Close

• 13. [Article] Computational Capacity and Energy Consumption of Complex Resistive Switch Networks

  Resistive switches are a class of emerging nanoelectronics devices that exhibit a wide variety of switching characteristics closely resembling behaviors of biological synapses. Assembled into random networks, ...

  Citation × Citation Citation Abstract Copy Title: Computational Capacity and Energy Consumption of Complex Resistive Switch Networks Author: Bürger, Jens, Goudarzi, Alireza, Stefanovic, Darko, Teuscher, Christof Year: 2015 Resistive switches are a class of emerging nanoelectronics devices that exhibit a wide variety of switching characteristics closely resembling behaviors of biological synapses. Assembled into random networks, such resistive switches produce emerging behaviors far more complex than that of individual devices. This was previously demonstrated in simulations that exploit information processing within these random networks to solve tasks that require nonlinear computation as well as memory. Physical assemblies of such networks manifest complex spatial structures and basic processing capabilities often related to biologically-inspired computing. We model and simulate random resistive switch networks and analyze their computational capacities. We provide a detailed discussion of the relevant design parameters and establish the link to the physical assemblies by relating the modeling parameters to physical parameters. More globally connected networks and an increased network switching activity are means to increase the computational capacity linearly at the expense of exponentially growing energy consumption. We discuss a new modular approach that exhibits higher computational capacities and energy consumption growing linearly with the number of networks used. The results show how to optimize the trade-off between computational capacity and energy efficiency and are relevant for the design and fabrication of novel computing architectures that harness random assemblies of emerging nanodevices. Title: Computational Capacity and Energy Consumption of Complex Resistive Switch Networks Author: Bürger, Jens, Goudarzi, Alireza, Stefanovic, Darko, Teuscher, Christof Year: 2015 Resistive switches are a class of emerging nanoelectronics devices that exhibit a wide variety of switching characteristics closely resembling behaviors of biological synapses. Assembled into random networks, such resistive switches produce emerging behaviors far more complex than that of individual devices. This was previously demonstrated in simulations that exploit information processing within these random networks to solve tasks that require nonlinear computation as well as memory. Physical assemblies of such networks manifest complex spatial structures and basic processing capabilities often related to biologically-inspired computing. We model and simulate random resistive switch networks and analyze their computational capacities. We provide a detailed discussion of the relevant design parameters and establish the link to the physical assemblies by relating the modeling parameters to physical parameters. More globally connected networks and an increased network switching activity are means to increase the computational capacity linearly at the expense of exponentially growing energy consumption. We discuss a new modular approach that exhibits higher computational capacities and energy consumption growing linearly with the number of networks used. The results show how to optimize the trade-off between computational capacity and energy efficiency and are relevant for the design and fabrication of novel computing architectures that harness random assemblies of emerging nanodevices. Close

• 14. [Article] Multivalent Rechargeable Batteries

  Li+ ion batteries have been the mainstay of high energy storage devices that have revolutionized the operating life time of consumer electronic devices for the past two decades. However, there is a steady ...

  Citation × Citation Citation Abstract Copy Title: Multivalent Rechargeable Batteries Author: Padigi, Sudhaprasanna Kumar Year: 2015 Li+ ion batteries have been the mainstay of high energy storage devices that have revolutionized the operating life time of consumer electronic devices for the past two decades. However, there is a steady increase in demand for energy storage devices with the ability to store more energy and deliver them at high power at low cost, without comprising safety and lifetime. Li-ion batteries have had significant challenges in increasing the amount of stored energy without affecting the overall lifetime and the ability to deliver stored energy. In order to store and deliver more energy, more lithium ions need to be inserted and extracted from a given electrode (cathode or anode). Upon inserting a large number of Li ions, the crystal lattice of the materials undergo severe mechanical distortions, leading to un-desirable structural changes. This results in underutilization of theoretical energy storage capacities of the electrodes and early failure of the batteries owing to instabilities in the electrode materials. Unlike monovalent Li+ ions, multivalent rechargeable batteries offer a potential solution to the above problems. Multivalent cations, such as Ca2+, are doubly-ionized as opposed to Li+ which is a monovalent cation. The advantages of using Ca2+ ions instead of Li+ ions are multifold. Due to the doubly-ionized nature, only half the number of Ca2+ ions need to be inserted and extracted from a given electrode to store and deliver energy from a high capacity cathode as compared to Li+ ions. This reduces the probability of lattice distortion and un-desirable structural changes, further leading to increased utilization of high theoretical energy storage capacities of the electrodes (cathode and anode). The use of Ca2+ ions also helps in delivering twice the amount of current density as compared to Li+ ions due to its doubly ionized nature. In this work, a set of eight metal hexacyanoferrate compounds were synthesized using the following metal ions: Ba2+, Mn2+, Zn2+, Co2+, Fe3+, Al3+, Sn4+, Mo5+. The resulting metal hexacyanoferrate compounds were subjected to physical characterization using scanning electron microscope (SEM) and powder x-ray diffraction (XRD), to determine physical properties such as size, morphology, unit cell symmetry and unit cell parameters. This was followed by electrochemical characterization utilizing cyclic voltammetry and galvanic cycling, to determine the specific capacity and kinetics involved in the transport of Ca2+ ions to store charge. Optical characterization of the metal hexacyanoferrates using Fourier transform infrared (FTIR) spectroscopy, allowed for the identification of metal-nitrogen stretching frequency, which was used as a measure of the strength of the metal-nitrogen bond to understand the role of the above mentioned metal ions in electron density distribution across the unit cell of the metal hexacyanoferrates. The specific capacity utilization of the metal hexacyanoferrates, when compared to the electronegativity values (Xi) of the above mentioned metal ions, the σ- parameter, and the metal-nitrogen stretching frequency (v), revealed an empirical trend suggesting that the materials (FeHCF, CaCoHCF and CaZnHCF) that possessed intermediates values for the above mentioned parameters demonstrated high capacity utilization (≥50%). Based on these empirical trends, it is hypothesized that a uniform distribution of electron density around a unit cell, as reflected by intermediate values of the electronegativity (Xi) of the above mentioned metal ions, the σ-parameter and the metal-nitrogen stretching frequency (v), results in minimal electrostatic interactions between the intercalating cation and the host unit cell lattice. This results in relatively easy diffusion of the cations, leading to high specific capacity utilization for metal hexacyanoferrate cathodes. These parameters may be used to select high efficiency cathode materials for multivalent batteries. Title: Multivalent Rechargeable Batteries Author: Padigi, Sudhaprasanna Kumar Year: 2015 Li+ ion batteries have been the mainstay of high energy storage devices that have revolutionized the operating life time of consumer electronic devices for the past two decades. However, there is a steady increase in demand for energy storage devices with the ability to store more energy and deliver them at high power at low cost, without comprising safety and lifetime. Li-ion batteries have had significant challenges in increasing the amount of stored energy without affecting the overall lifetime and the ability to deliver stored energy. In order to store and deliver more energy, more lithium ions need to be inserted and extracted from a given electrode (cathode or anode). Upon inserting a large number of Li ions, the crystal lattice of the materials undergo severe mechanical distortions, leading to un-desirable structural changes. This results in underutilization of theoretical energy storage capacities of the electrodes and early failure of the batteries owing to instabilities in the electrode materials. Unlike monovalent Li+ ions, multivalent rechargeable batteries offer a potential solution to the above problems. Multivalent cations, such as Ca2+, are doubly-ionized as opposed to Li+ which is a monovalent cation. The advantages of using Ca2+ ions instead of Li+ ions are multifold. Due to the doubly-ionized nature, only half the number of Ca2+ ions need to be inserted and extracted from a given electrode to store and deliver energy from a high capacity cathode as compared to Li+ ions. This reduces the probability of lattice distortion and un-desirable structural changes, further leading to increased utilization of high theoretical energy storage capacities of the electrodes (cathode and anode). The use of Ca2+ ions also helps in delivering twice the amount of current density as compared to Li+ ions due to its doubly ionized nature. In this work, a set of eight metal hexacyanoferrate compounds were synthesized using the following metal ions: Ba2+, Mn2+, Zn2+, Co2+, Fe3+, Al3+, Sn4+, Mo5+. The resulting metal hexacyanoferrate compounds were subjected to physical characterization using scanning electron microscope (SEM) and powder x-ray diffraction (XRD), to determine physical properties such as size, morphology, unit cell symmetry and unit cell parameters. This was followed by electrochemical characterization utilizing cyclic voltammetry and galvanic cycling, to determine the specific capacity and kinetics involved in the transport of Ca2+ ions to store charge. Optical characterization of the metal hexacyanoferrates using Fourier transform infrared (FTIR) spectroscopy, allowed for the identification of metal-nitrogen stretching frequency, which was used as a measure of the strength of the metal-nitrogen bond to understand the role of the above mentioned metal ions in electron density distribution across the unit cell of the metal hexacyanoferrates. The specific capacity utilization of the metal hexacyanoferrates, when compared to the electronegativity values (Xi) of the above mentioned metal ions, the σ- parameter, and the metal-nitrogen stretching frequency (v), revealed an empirical trend suggesting that the materials (FeHCF, CaCoHCF and CaZnHCF) that possessed intermediates values for the above mentioned parameters demonstrated high capacity utilization (≥50%). Based on these empirical trends, it is hypothesized that a uniform distribution of electron density around a unit cell, as reflected by intermediate values of the electronegativity (Xi) of the above mentioned metal ions, the σ-parameter and the metal-nitrogen stretching frequency (v), results in minimal electrostatic interactions between the intercalating cation and the host unit cell lattice. This results in relatively easy diffusion of the cations, leading to high specific capacity utilization for metal hexacyanoferrate cathodes. These parameters may be used to select high efficiency cathode materials for multivalent batteries. Close

• 15. [Article] High Performance Prussian Blue Cathode for Nonaqueous Ca-ion Intercalation Battery

  Potassium iron hexacyanoferrate, or Prussian blue (PB), is investigated as a cathode material for nonaqueous divalent calcium ion batteries. PB is an attractive prospect due to its high specific capacity, ...

  Citation × Citation Citation Abstract Copy Title: High Performance Prussian Blue Cathode for Nonaqueous Ca-ion Intercalation Battery Author: Kuperman, Neal, Padigi, Prasanna, Goncher, Gary, Evans, David, Thiebes, Joseph, Solanki, Raj Year: 2017 Potassium iron hexacyanoferrate, or Prussian blue (PB), is investigated as a cathode material for nonaqueous divalent calcium ion batteries. PB is an attractive prospect due to its high specific capacity, nontoxicity, low cost, and simple synthesis. Charge/discharge performances are examined at current densities of 23 mAg−1, 45 mAg−1, 90 mAg−1, and 125 mAg−1 that produced reversible specific capacities ranging from 150 mAhg−1 (at 23 mAg−1 current density) to over 120 mAhg−1 (at 125 mAg−1 current density). These are the highest storage capacities to date for a divalent calcium ion cathode over extended period of charge/discharge cycling and are comparable in performance to monovalent intercalating ions. Title: High Performance Prussian Blue Cathode for Nonaqueous Ca-ion Intercalation Battery Author: Kuperman, Neal, Padigi, Prasanna, Goncher, Gary, Evans, David, Thiebes, Joseph, Solanki, Raj Year: 2017 Potassium iron hexacyanoferrate, or Prussian blue (PB), is investigated as a cathode material for nonaqueous divalent calcium ion batteries. PB is an attractive prospect due to its high specific capacity, nontoxicity, low cost, and simple synthesis. Charge/discharge performances are examined at current densities of 23 mAg−1, 45 mAg−1, 90 mAg−1, and 125 mAg−1 that produced reversible specific capacities ranging from 150 mAhg−1 (at 23 mAg−1 current density) to over 120 mAhg−1 (at 125 mAg−1 current density). These are the highest storage capacities to date for a divalent calcium ion cathode over extended period of charge/discharge cycling and are comparable in performance to monovalent intercalating ions. Close

• 16. [Article] Organizational capacity for natural resource management in Oregon

  2 pages

  Citation × Citation Citation Abstract Copy Title: Organizational capacity for natural resource management in Oregon Author: Davis, Emily Jane, Moseley, Cassandra, Evers, Cody, MacFarland, Kate, Nielsen-Pincus, Max, Pomeroy, Alaina, Enzer, Maia J. Year: 2015, 2012 2 pages Title: Organizational capacity for natural resource management in Oregon Author: Davis, Emily Jane, Moseley, Cassandra, Evers, Cody, MacFarland, Kate, Nielsen-Pincus, Max, Pomeroy, Alaina, Enzer, Maia J. Year: 2015, 2012 2 pages Close

• 17. [Article] Examining the role of collaborative governance in fostering adaptive capacity: A case study from northwest Colorado

  Over the past two decades, the mountain pine beetle (MPB) has killed millions of acres of forest across western North America. In addition to extensive environmental disturbance, the MPB epidemic has ...

  Citation × Citation Citation Abstract Copy Title: Examining the role of collaborative governance in fostering adaptive capacity: A case study from northwest Colorado Author: Grummon, Christine Year: 2016 Over the past two decades, the mountain pine beetle (MPB) has killed millions of acres of forest across western North America. In addition to extensive environmental disturbance, the MPB epidemic has deeply impacted human systems, including motivating the formation of novel environmental governance arrangements. In Colorado, the Colorado Bark Beetle Cooperative (CBBC) formed as a collaboration between federal, state, and local stakeholders to address the epidemic. This study used a combination of GIS analysis and qualitative document analysis to understand how the CBBC has been able to respond adaptively to changes in the landscape pattern of MPB damage. I found that the CBBC was able to respond adaptively to changes in the MPB outbreak through shifting their organizational direction and activities. However, the adaptive capacity of the group was constrained by logistical factors, the declining importance of MPB at a national level, and the ways in which the group framed the MPB problem. Title: Examining the role of collaborative governance in fostering adaptive capacity: A case study from northwest Colorado Author: Grummon, Christine Year: 2016 Over the past two decades, the mountain pine beetle (MPB) has killed millions of acres of forest across western North America. In addition to extensive environmental disturbance, the MPB epidemic has deeply impacted human systems, including motivating the formation of novel environmental governance arrangements. In Colorado, the Colorado Bark Beetle Cooperative (CBBC) formed as a collaboration between federal, state, and local stakeholders to address the epidemic. This study used a combination of GIS analysis and qualitative document analysis to understand how the CBBC has been able to respond adaptively to changes in the landscape pattern of MPB damage. I found that the CBBC was able to respond adaptively to changes in the MPB outbreak through shifting their organizational direction and activities. However, the adaptive capacity of the group was constrained by logistical factors, the declining importance of MPB at a national level, and the ways in which the group framed the MPB problem. Close

• 18. [Article] Postpollination Discrimination Between Self and Outcross Pollen Covaries with the Mating System of a Self-Compatible Flowering Plant

  Premise of the Study: Variation in the mating system of hermaphroditic plant populations is determined by interactions between genetic and environmental factors operating via both pre- and postmating processes. ...

  Citation × Citation Citation Abstract Copy Title: Postpollination Discrimination Between Self and Outcross Pollen Covaries with the Mating System of a Self-Compatible Flowering Plant Author: Cruzan, Mitchell B., Barrett, Spencer C. H. Year: 2016 Premise of the Study: Variation in the mating system of hermaphroditic plant populations is determined by interactions between genetic and environmental factors operating via both pre- and postmating processes. Models predicting the maintenance of intermediate outcrossing rates in animal-pollinated plants often assume that the mating system is primarily controlled by floral morphology and pollinator availability, but rarely has the influence of postpollination processes on variation in outcrossing been examined. Methods: We investigated the influence of stylar discrimination between illegitimate and legitimate pollen-tube growth and the pollen-load capacity of stigmas on mating-system variation in the annual, tristylous species Eichhornia paniculata using controlled crosses and genetic markers. This species exhibits an exceptionally broad range of outcrossing rates in natural populations. Key Results: There was significant variation among populations in the pollen-load capacity of stigmas and the ability of styles to discriminate between illegitimate vs. legitimate pollen. There was strong correspondence between stylar-discrimination ability and variation in outcrossing rate among populations and style morphs. The combination of stigmatic pollen-load capacity and stylar discrimination explained more than 80% of the variation in outcrossing rates among populations. Conclusions: The finding that stigmatic pollen-load capacity and stylar-discrimination ability contributed significantly to explaining the wide range of outcrossing rates in E. paniculata suggests that postpollination mechanisms play an important role in governing mating patterns in this species. The difference in levels of stylar discrimination between outcrossing and selfing populations may reflect a trade-off between selection for increased outcrossing and greater reproductive assurance. Title: Postpollination Discrimination Between Self and Outcross Pollen Covaries with the Mating System of a Self-Compatible Flowering Plant Author: Cruzan, Mitchell B., Barrett, Spencer C. H. Year: 2016 Premise of the Study: Variation in the mating system of hermaphroditic plant populations is determined by interactions between genetic and environmental factors operating via both pre- and postmating processes. Models predicting the maintenance of intermediate outcrossing rates in animal-pollinated plants often assume that the mating system is primarily controlled by floral morphology and pollinator availability, but rarely has the influence of postpollination processes on variation in outcrossing been examined. Methods: We investigated the influence of stylar discrimination between illegitimate and legitimate pollen-tube growth and the pollen-load capacity of stigmas on mating-system variation in the annual, tristylous species Eichhornia paniculata using controlled crosses and genetic markers. This species exhibits an exceptionally broad range of outcrossing rates in natural populations. Key Results: There was significant variation among populations in the pollen-load capacity of stigmas and the ability of styles to discriminate between illegitimate vs. legitimate pollen. There was strong correspondence between stylar-discrimination ability and variation in outcrossing rate among populations and style morphs. The combination of stigmatic pollen-load capacity and stylar discrimination explained more than 80% of the variation in outcrossing rates among populations. Conclusions: The finding that stigmatic pollen-load capacity and stylar-discrimination ability contributed significantly to explaining the wide range of outcrossing rates in E. paniculata suggests that postpollination mechanisms play an important role in governing mating patterns in this species. The difference in levels of stylar discrimination between outcrossing and selfing populations may reflect a trade-off between selection for increased outcrossing and greater reproductive assurance. Close

• 19. [Article] Understanding the Roles of Socioeconomic Vulnerability, Adaptive Capacity, and Mitigation in Determining Economic Impacts of Wildfire

  Citation × Citation Citation Abstract Copy Title: Understanding the Roles of Socioeconomic Vulnerability, Adaptive Capacity, and Mitigation in Determining Economic Impacts of Wildfire Author: Moseley, Cassandra, Bruce, Josh Year: 2014 Title: Understanding the Roles of Socioeconomic Vulnerability, Adaptive Capacity, and Mitigation in Determining Economic Impacts of Wildfire Author: Moseley, Cassandra, Bruce, Josh Year: 2014 Close

• 20. [Article] Planning for a Semiconductor Ramp: Capacity and Staffing

  ABC, a semiconductor manufacturing company has the good fortune to be starting a very strong manufacturing ramp for its biggest money making product line. In order for the ramp to succeed, they have to ...

  Citation × Citation Citation Abstract Copy Title: Planning for a Semiconductor Ramp: Capacity and Staffing Author: Varma, Sumir Year: 2015 ABC, a semiconductor manufacturing company has the good fortune to be starting a very strong manufacturing ramp for its biggest money making product line. In order for the ramp to succeed, they have to ensure that at the four main production steps where all the WIP goes through, there is enough capacity to run production as the ramp progresses through the wafer start nodes outlined, in a potentially optimized way, and the new tools purchased for this purpose are staffed adequately. However, based on the definition of the model utilized, the latter part of the project was changed substantially in practice. Title: Planning for a Semiconductor Ramp: Capacity and Staffing Author: Varma, Sumir Year: 2015 ABC, a semiconductor manufacturing company has the good fortune to be starting a very strong manufacturing ramp for its biggest money making product line. In order for the ramp to succeed, they have to ensure that at the four main production steps where all the WIP goes through, there is enough capacity to run production as the ramp progresses through the wafer start nodes outlined, in a potentially optimized way, and the new tools purchased for this purpose are staffed adequately. However, based on the definition of the model utilized, the latter part of the project was changed substantially in practice. Close