Option-based Adaptive Planning of Product Design Project and its Multi-objective Optimization
| Project/Area Number |
24760120
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Design engineering/Machine functional elements/Tribology
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| Research Institution | Osaka University |
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Principal Investigator |
NOMAGUCHI Yutaka 大阪大学, 工学(系)研究科(研究院), 准教授 (90362657)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | 設計工学 / プロジェクト計画 / プロセスモデリング / オプション / 多目的最適化 / 設計プロセスモデリング / プロジェクトマネジメント / リスクマネジメント |
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| Research Abstract |
This research proposes a new project planning method that aims at a Pareto-optimal of the potential product performance of designed product and adaptability for project failure risk. A task option model is introduced for risk assessment of option-based project management. As its planning includes a number of various design variables and various evaluation indices, in order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two phases, i.e., (i) defining of process architecture and organization structure and (ii) scheduling of resource allocation into activities. This paper demonstrates its application to a student formula design project. A proposed optimization method facilitates a project manager to explore various process plans with assessing their risks.
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Report
(3 results)
Research Products
(15 results)
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[Presentation] Design Method Selection Matrix for Facilitating Product Platform and Family Design2012
Author(s)
Nomaguchi, Y., Askhoj, A., Madsen, K. F., Akai, R. and Fujita, K.
Organizer
Proceedings of the ASME 2012 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference
Place of Presentation
Chicago, Illinois, USA
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