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Ali A. Yassine
Researcher at American University of Beirut
Publications - 112
Citations - 4043
Ali A. Yassine is an academic researcher from American University of Beirut. The author has contributed to research in topics: New product development & Design structure matrix. The author has an hindex of 33, co-authored 108 publications receiving 3734 citations. Previous affiliations of Ali A. Yassine include Massachusetts Institute of Technology & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Complex Concurrent Engineering and the Design Structure Matrix Method
Ali A. Yassine,Dan Braha +1 more
TL;DR: This paper describes four critical problems that challenge management while implementing CE in complex product development (PD) projects and proposes a unified modeling and solution approach based on the design structure matrix (DSM) method, which is an information exchange model that allows managers to represent complex task relationships to better plan and manage CE initiatives.
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Characterizing complex product architectures
David M. Sharman,Ali A. Yassine +1 more
TL;DR: Three methods for describing product architectures are developed: the Dependency Structure Matrix, Molecular Diagrams, and Visibility‐Dependency signature diagrams, which are suited for describing architectures of varying levels of complexity and detail.
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Resource-Constrained Multi-Project Scheduling: Priority Rule Performance Revisited
Tyson R. Browning,Ali A. Yassine +1 more
TL;DR: This work addresses the static resource-constrained multi-project scheduling problem (RCMPSP) with two lateness objectives, project lateness and portfolio lateness, and found several situations in which widely advocated priority rules perform poorly.
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Engineering design management: An information structure approach
TL;DR: The notion of Structural Sensitivity Analysis (SSA) is introduced, which is devised based on two measures of information dependency among design tasks: Sensitivity and Variability, which enhance the classical design structure matrix method and allow for more complex analysis to be performed.
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An information theoretic method for developing modular architectures using genetic algorithms
TL;DR: The design structure matrix (DSM) is used to visualize the product architecture and to develop the basic building blocks required for the identification of product modules, leading to a new clustering method based on the minimum description length (MDL) principle and a simple genetic algorithm.