The Experts below are selected from a list of 1095 Experts worldwide ranked by ideXlab platform
Brian Lee - One of the best experts on this subject based on the ideXlab platform.
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visual Outage management tool
2010Co-Authors: Brian LeeAbstract:Described herein are systems related to a visual tool for providing a dynamic and accessible collaborative environment during a Production Outage or network downtime. An Outage management tool comprising a server application tool receiving and storing monitoring data related to an operation of a network and application-level components of the network, wherein the monitoring data includes Outage information corresponding to one of the network and the application-level components, and a visualization tool generating an interactive representation of the network including the Outage information, the visualization tool and generating, in response to a request, an adjusted interactive representation of the network including application-level components affected by an Outage and event traffic related to the Outage.
Patrice Barriault - One of the best experts on this subject based on the ideXlab platform.
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fitness for service assessment and re rating of flawed alumina feeding vessels
TMS Annual Meeting & Exhibition, 2018Co-Authors: Maher Aldojayli, Kyle Chomyn, Hamid Ghorbani, Patrice BarriaultAbstract:In aged alumina processing plants, existing equipment are often operating near the ends of their design lives. Metal loss, structural distortion and crack-like flaws may also be detected in these equipment, which can cause equipment failures and operational safety hazards. Replacement and/or major repair of aged equipment may incur high capital cost and losses in Production revenue. Fitness-for-service (FFS) assessment based on API 579-1/ASME FFS-1 code is a robust approach to reliably assess the remaining life of existing equipment. This paper presents an application of this FFS assessment for rerating and life extension of alumina feeding vessels with metal loss and crack-like flaws. Minimum thickness requirements, allowable remaining fatigue life, and permissible crack sizes were specified based on non-destructive testing (NDT) results. This assessment allowed the plant to identify and safely repair high-risk vessels without major Production Outage, and provided valuable information for planning future NDT, monitoring and repair works.
Maher Aldojayli - One of the best experts on this subject based on the ideXlab platform.
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fitness for service assessment and re rating of flawed alumina feeding vessels
TMS Annual Meeting & Exhibition, 2018Co-Authors: Maher Aldojayli, Kyle Chomyn, Hamid Ghorbani, Patrice BarriaultAbstract:In aged alumina processing plants, existing equipment are often operating near the ends of their design lives. Metal loss, structural distortion and crack-like flaws may also be detected in these equipment, which can cause equipment failures and operational safety hazards. Replacement and/or major repair of aged equipment may incur high capital cost and losses in Production revenue. Fitness-for-service (FFS) assessment based on API 579-1/ASME FFS-1 code is a robust approach to reliably assess the remaining life of existing equipment. This paper presents an application of this FFS assessment for rerating and life extension of alumina feeding vessels with metal loss and crack-like flaws. Minimum thickness requirements, allowable remaining fatigue life, and permissible crack sizes were specified based on non-destructive testing (NDT) results. This assessment allowed the plant to identify and safely repair high-risk vessels without major Production Outage, and provided valuable information for planning future NDT, monitoring and repair works.
Heitz Christoph - One of the best experts on this subject based on the ideXlab platform.
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Optimum lifecycle management of asset portfolios with non-monetary value realization
2016Co-Authors: Heitz ChristophAbstract:The economics of Production systems depends on how expenses in terms of lifecycle costs for machines are balanced by revenues. Most classical models for optimizing lifecycle decisions are based on a profit maximization paradigm. However, the solutions are strongly dependent on how the technical performance of the machine is translated into monetary units. This is a critical issue because often it is not easy to monetarize non-ideal behavior of machines (e.g. How to monetarize the image damage of the company resulting from a major Production Outage?). In the present paper, we present a new perspective on the economics of Production systems which is not based on a monetary (profit maximization) paradigm. Instead, we model a Production system as an object that (a) needs investment, and (b) generates a value for the company, but this value can be expressed in arbitrary units. This is consistent with the approach of the new ISO standard 55’000. In such a framework, it is no more possible to base decision making on maximization of a single objective such as profit, as costs and value are measured in different units and cannot be added. However, many lifecycle decision problems can still be solved. In particular, we discuss typical lifecycle problems such as determining optimal lifetime or optimum maintenance levels. We show that, given a portfolio of machines, the optimum decisions for the single machines can be determined, with exception of a single global parameter that holds for the portfolio as a whole. For our approach, we combine approaches from economic utility theory and multidimensional optimization with lifecycle models of technical assets
Kyle Chomyn - One of the best experts on this subject based on the ideXlab platform.
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fitness for service assessment and re rating of flawed alumina feeding vessels
TMS Annual Meeting & Exhibition, 2018Co-Authors: Maher Aldojayli, Kyle Chomyn, Hamid Ghorbani, Patrice BarriaultAbstract:In aged alumina processing plants, existing equipment are often operating near the ends of their design lives. Metal loss, structural distortion and crack-like flaws may also be detected in these equipment, which can cause equipment failures and operational safety hazards. Replacement and/or major repair of aged equipment may incur high capital cost and losses in Production revenue. Fitness-for-service (FFS) assessment based on API 579-1/ASME FFS-1 code is a robust approach to reliably assess the remaining life of existing equipment. This paper presents an application of this FFS assessment for rerating and life extension of alumina feeding vessels with metal loss and crack-like flaws. Minimum thickness requirements, allowable remaining fatigue life, and permissible crack sizes were specified based on non-destructive testing (NDT) results. This assessment allowed the plant to identify and safely repair high-risk vessels without major Production Outage, and provided valuable information for planning future NDT, monitoring and repair works.
