The Experts below are selected from a list of 58734 Experts worldwide ranked by ideXlab platform

Panos Y Papalambros - One of the best experts on this subject based on the ideXlab platform.

  • NOMENCLATURE
    2013
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating supersystem design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and allow top targets to be met as closely as possible. In this article the process of rigorously setting the supersystem targets in an Enterprise Context is explored as a modelbased approach termed “analytical target setting. ” The effectiveness of linking analytical target setting and cascading is demonstrated in an automotive truck vehicle example

  • target exploration for disconnected feasible regions in Enterprise driven multilevel product design
    AIAA Journal, 2006
    Co-Authors: Harrison M Kim, Deepak Kumar, Wei Chen, Panos Y Papalambros
    Abstract:

    Enterprise-level business decisions are linked with engineering product decisions by integrating Enterprise utility optimization and engineering design optimization under a hierarchical, multilevel, decision-based design framework. The Enterprise problem sets attribute targets, that is, specifications, for engineering product development, which then optimizes product performance within the feasible design space to match the targets with minimum deviations. When the feasible domain imposed by engineering product development is disconnected in the space of attribute targets, an engineering design with the minimum deviation from the targets may not correspond to the design with the maximum utility value, even though the design is a converged solution from the multilevel optimization. To address this issue, a new algorithm is developed, which systematically explores the target space to lead the engineering product development to a feasible and optimal design in the Enterprise Context. Analytical examples and an automotive suspension design case study are presented to demonstrate the effectiveness of the proposed methodology.

  • analytical target setting an Enterprise Context in optimal product design
    Design Automation Conference, 2003
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    In this article the process of rigorously setting supersystem targets in an Enterprise Context is explored as a model-based approach termed “analytical target setting.” Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, however, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating top level design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and top targets can be met as closely as possible. The effectiveness of linking analytical target setting and target cascading is demonstrated in a hybrid electric automotive truck vehicle example. The manufacturer introduces a new product (hybrid electric truck) in the market under uncertainty in fuel prices during the life cycle of the vehicle. The example demonstrates a clear interaction between the Enterprise decision making and the engineering product development. DOI: 10.1115/1.2125972

Harrison M Kim - One of the best experts on this subject based on the ideXlab platform.

  • NOMENCLATURE
    2013
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating supersystem design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and allow top targets to be met as closely as possible. In this article the process of rigorously setting the supersystem targets in an Enterprise Context is explored as a modelbased approach termed “analytical target setting. ” The effectiveness of linking analytical target setting and cascading is demonstrated in an automotive truck vehicle example

  • target exploration for disconnected feasible regions in Enterprise driven multilevel product design
    AIAA Journal, 2006
    Co-Authors: Harrison M Kim, Deepak Kumar, Wei Chen, Panos Y Papalambros
    Abstract:

    Enterprise-level business decisions are linked with engineering product decisions by integrating Enterprise utility optimization and engineering design optimization under a hierarchical, multilevel, decision-based design framework. The Enterprise problem sets attribute targets, that is, specifications, for engineering product development, which then optimizes product performance within the feasible design space to match the targets with minimum deviations. When the feasible domain imposed by engineering product development is disconnected in the space of attribute targets, an engineering design with the minimum deviation from the targets may not correspond to the design with the maximum utility value, even though the design is a converged solution from the multilevel optimization. To address this issue, a new algorithm is developed, which systematically explores the target space to lead the engineering product development to a feasible and optimal design in the Enterprise Context. Analytical examples and an automotive suspension design case study are presented to demonstrate the effectiveness of the proposed methodology.

  • analytical target setting an Enterprise Context in optimal product design
    Design Automation Conference, 2003
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    In this article the process of rigorously setting supersystem targets in an Enterprise Context is explored as a model-based approach termed “analytical target setting.” Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, however, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating top level design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and top targets can be met as closely as possible. The effectiveness of linking analytical target setting and target cascading is demonstrated in a hybrid electric automotive truck vehicle example. The manufacturer introduces a new product (hybrid electric truck) in the market under uncertainty in fuel prices during the life cycle of the vehicle. The example demonstrates a clear interaction between the Enterprise decision making and the engineering product development. DOI: 10.1115/1.2125972

Adam B Cooper - One of the best experts on this subject based on the ideXlab platform.

  • NOMENCLATURE
    2013
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating supersystem design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and allow top targets to be met as closely as possible. In this article the process of rigorously setting the supersystem targets in an Enterprise Context is explored as a modelbased approach termed “analytical target setting. ” The effectiveness of linking analytical target setting and cascading is demonstrated in an automotive truck vehicle example

  • analytical target setting an Enterprise Context in optimal product design
    Design Automation Conference, 2003
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    In this article the process of rigorously setting supersystem targets in an Enterprise Context is explored as a model-based approach termed “analytical target setting.” Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, however, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating top level design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and top targets can be met as closely as possible. The effectiveness of linking analytical target setting and target cascading is demonstrated in a hybrid electric automotive truck vehicle example. The manufacturer introduces a new product (hybrid electric truck) in the market under uncertainty in fuel prices during the life cycle of the vehicle. The example demonstrates a clear interaction between the Enterprise decision making and the engineering product development. DOI: 10.1115/1.2125972

Feng-kwei Wang - One of the best experts on this subject based on the ideXlab platform.

  • Enterprise cloud service architectures
    Information Technology & Management, 2012
    Co-Authors: Heyong Wang, Feng-kwei Wang
    Abstract:

    As a new computing paradigm, cloud computing has received a lot of attention from Enterprises and has being integrated or applied to Enterprise architectures. This paper surveys the state of the art of Enterprise cloud service architectures. Specifically, this paper discusses Enterprise cloud service architectural requirements, design approaches, architectural styles, emerging cloud service platforms, applications and related challenges in an Enterprise Context. This paper also identifies research trends and opportunities for researchers and practitioners in this fast moving field.

Panayotis Georgiopoulos - One of the best experts on this subject based on the ideXlab platform.

  • NOMENCLATURE
    2013
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating supersystem design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and allow top targets to be met as closely as possible. In this article the process of rigorously setting the supersystem targets in an Enterprise Context is explored as a modelbased approach termed “analytical target setting. ” The effectiveness of linking analytical target setting and cascading is demonstrated in an automotive truck vehicle example

  • analytical target setting an Enterprise Context in optimal product design
    Design Automation Conference, 2003
    Co-Authors: Adam B Cooper, Panayotis Georgiopoulos, Harrison M Kim, Panos Y Papalambros
    Abstract:

    In this article the process of rigorously setting supersystem targets in an Enterprise Context is explored as a model-based approach termed “analytical target setting.” Engineering design decisions have more value and lasting impact if they are made in the Context of the Enterprise that produces the designed product. Setting targets that the designer must meet is often done at a high level within the Enterprise, however, with inadequate consideration of the engineering design embodiment and associated cost. For complex artifacts produced by compartmentalized hierarchical Enterprises, the challenge of linking the target setting rationale with the product instantiation is particularly demanding. The previously developed analytical target cascading process addresses the problem of translating top level design targets into design targets for all systems in a multilevel hierarchically structured product, so that local targets are consistent with each other and top targets can be met as closely as possible. The effectiveness of linking analytical target setting and target cascading is demonstrated in a hybrid electric automotive truck vehicle example. The manufacturer introduces a new product (hybrid electric truck) in the market under uncertainty in fuel prices during the life cycle of the vehicle. The example demonstrates a clear interaction between the Enterprise decision making and the engineering product development. DOI: 10.1115/1.2125972