ELIMINATING DESIGN ALTERNATIVE UNDER INTERVAL-BASED

[1]  D. R. Hoffman.  An overview of concurrent engineering , 1997, Annual Reliability and Maintainability Symposium.

[2]  Ramon E. Moore.  Methods and applications of interval analysis , 1979, SIAM studies in applied mathematics.

[3]  Per S. Laursen.  Simple Approches to Parallel Branch and Bound , 1993, Parallel Comput..

[4]  J. Neyman.  Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability , 1937 .

[5]  G. Alefeld,et al.  Introduction to Interval Computation , 1983 .

[6]  Evangelos Triantaphyllou,et al.  Multi-criteria Decision Making Methods: A Comparative Study , 2000 .

[7]  Farrokh Mistree,et al.  Metrics for Assessing Design Freedom and Information Certainty in the Early Stages of Design , 1998 .

[8]  Farrokh Mistree,et al.  DECISION-BASED DESIGN - A CONTEMPORARY PARADIGM FOR SHIP DESIGN , 1990 .

[9]  George A. Hazelrigg,et al.  A Framework for Decision-Based Engineering Design , 1998 .

[10]  Gareth W. Parry,et al.  The characterization of uncertainty in probabilistic risk assessments of complex systems , 1996 .

[11]  Wei Chen,et al.  An Approach to Decision-Based Design With Discrete Choice Analysis for Demand Modeling , 2003 .

[12]  Robert L. Winkler,et al.  Uncertainty in probabilistic risk assessment , 1996 .

[13]  Kevin Forsberg,et al.  The Relationship of System Engineering to the Project Cycle , 1991 .

[14]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[15]  Carolyn Conner Seepersad,et al.  The utility-based compromise decision support problem with applications in product platform design , 2001 .

[16]  P. Walley.  Statistical Reasoning with Imprecise Probabilities , 1990 .

[17]  Jens Clausen,et al.  Solving Large Quadratic Assignment Problems in Parallel , 1997, Comput. Optim. Appl..

[18]  M. Tribus.  Rational descriptions, decisions, and designs , 1969 .

[19]  E. L. Lawler,et al.  Branch-and-Bound Methods: A Survey , 1966, Oper. Res..

[20]  John Creedy.  Edgeworth and the Development of Neoclassical Economics , 1986 .

[21]  Stephen P. Boyd,et al.  Branch and Bound Methods , 1987 .

[22]  Durward K. Sobek,et al.  Adapting real options to new product development by modeling the second Toyota paradox , 2005, IEEE Transactions on Engineering Management.

[23]  Ralph L. Keeney,et al.  Multiplicative Utility Functions , 1974, Oper. Res..

[24]  Michael S. Eldred,et al.  Uncertainty Quantification In Large Computational Engineering Models , 2001 .

[25]  Stephen P. Boyd,et al.  Branch and bound algorithm for computing the minimum stability degree of parameter-dependent linear systems , 1991, International Journal of Robust and Nonlinear Control.

[26]  Georg Ch. Pflug,et al.  A branch and bound method for stochastic global optimization , 1998, Math. Program..

[27]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[28]  Søren Nielsen,et al.  Closure of "Interval Algebra to Deal with Pattern Loading and Structural Uncertainties" , 1995 .

[29]  G. Hazelrigg.  Systems Engineering: An Approach to Information-Based Design , 1996 .

[30]  Christiaan J. J. Paredis,et al.  The Value of Using Imprecise Probabilities in Engineering Design , 2006 .

[31]  George S. Fishman,et al.  Discrete-event simulation , 2001 .

[32]  Wolter J. Fabrycky,et al.  Decision evaluation with interval mathematics: a power distribution system case study , 1994 .

[33]  R. Baker Kearfott.  Empirical Evaluation of Innovations in Interval Branch and Bound Algorithms for Nonlinear Systems , 1997, SIAM J. Sci. Comput..

[34]  Kathleen V. Diegert,et al.  Error and uncertainty in modeling and simulation , 2002, Reliab. Eng. Syst. Saf..

[35]  Kevin Forsberg,et al.  The Relationship of Systems Engineering to the Project Cycle , 1992 .

[36]  Wei Chen,et al.  An approach to decision-based design. , 2001 .

[37]  Farrokh Mistree,et al.  Utility-based decision support for selection in engineering design , 2001 .

[38]  Jesper Larsson Träff,et al.  Implementation of parallel branch-and-bound algorithms – experiences with the graph partitioning problem , 1991, Ann. Oper. Res..

[39]  Efstratios Nikolaidis,et al.  Engineering Design Reliability Handbook , 2004 .

[40]  D. Bernoulli.  Exposition of a New Theory on the Measurement of Risk , 1954 .

[41]  R. B. Kearfott,et al.  Applications of interval computations , 1996 .

[42]  George S. Fishman,et al.  Discrete-Event Simulation : Modeling, Programming, and Analysis , 2001 .

[43]  Ramon E. Moore.  Global optimization to prescribed accuracy , 1991 .

[44]  Howard Raiffa,et al.  Games And Decisions , 1958 .

[45]  S. Ferson,et al.  Different methods are needed to propagate ignorance and variability , 1996 .

[46]  F. J. Anscombe,et al.  A Definition of Subjective Probability , 1963 .

[47]  Robert L. Norton,et al.  Machine Design: An Integrated Approach , 1996 .

[48]  M. Degroot,et al.  Probability and Statistics , 2021, Examining an Operational Approach to Teaching Probability.

[49]  Y.Y. Haimes,et al.  Methodology for large-scale systems , 1978, Proceedings of the IEEE.

[50]  D. Schmeidler.  Subjective Probability and Expected Utility without Additivity , 1989 .

[51]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[52]  B. Hayes,et al.  A Lucid Interval , 2003, American Scientist.

[53]  Christiaan J. J. Paredis,et al.  ON CHARACTERIZING AND ASSESSING THE VALIDITY OF BEHAVIORAL MODELS AND THEIR PREDICTIONS , 2004 .

[54]  de Weck,et al.  Isoperformance An Alternative Design Methodology for Engineering Systems , 2002 .

[55]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[56]  Wynn C. Stirling.  Satisficing Games and Decision Making: With Applications to Engineering and Computer Science , 2003 .

[57]  Ahmed E. Kamal,et al.  Dependable Handling of Uncertainty , 2003, Reliab. Comput..

[58]  H. Simon,et al.  Models of Bounded Rationality: Empirically Grounded Economic Reason , 1997 .

[59]  Roberto Montemanni,et al.  An algorithm for the relative robust shortest path problem with interval data , 2002 .

[60]  Y. Ben-Haim.  Information-gap decision theory : decisions under severe uncertainty , 2001 .

[61]  Wei Chen,et al.  A CONCEPT EXPLORATION METHOD FOR DETERMINING ROBUST TOP-LEVEL SPECIFICATIONS , 1996 .

[62]  Durward K. Sobek,et al.  The Second Toyota Paradox: How Delaying Decisions Can Make Better Cars Faster , 1995 .

[63]  J. Neumann,et al.  Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[64]  Roberto Montemanni,et al.  A branch and bound algorithm for the robust shortest path problem with interval data , 2004, Oper. Res. Lett..

[65]  Farrokh Mistree,et al.  A procedure for robust design: Minimizing variations caused by noise factors and control factors , 1996 .

[66]  W. F. Riley,et al.  Statics and Mechanics of Materials: An Integrated Approach , 1996 .

[67]  Durward K. Sobek,et al.  Iteration in Engineering Design: Inherent and Unavoidable or Product of Choices Made? , 2003 .

[68]  Erik K. Antonsson,et al.  Imprecision in Engineering Design , 1995 .

[69]  Christiaan J. J. Paredis,et al.  The Role and Limitations of Modeling and Simulation in Systems Design , 2004 .

[70]  Genichi Taguchi.  System Of Experimental Design: Engineering Methods To Optimize Quality And Minimize Costs , 1987 .

[71]  C. Adjiman,et al.  A global optimization method, αBB, for general twice-differentiable constrained NLPs—II. Implementation and computational results , 1998 .

[72]  Eldon Hansen,et al.  Global optimization using interval analysis , 1992, Pure and applied mathematics.

[73]  Hande Yaman,et al.  The robust spanning tree problem with interval data , 2001, Oper. Res. Lett..

[74]  David Cebon,et al.  Materials Selection in Mechanical Design , 1992 .

[75]  Sheldon M. Ross,et al.  Introduction to probability models , 1975 .

[76]  Agma Information Sheet.  AMERICAN GEAR MANUFACTURERS ASSOCIATION Geometry Factors for Determining the Pitting Resistance and Bending Strength of Spur, Helical and Herringbone Gear Teeth , 1999 .

[77]  Durward K. Sobek,et al.  Involving suppliers in product development in the United States and Japan: evidence for set-based concurrent engineering , 1996 .

[78]  Kevin Forsberg,et al.  Visualizing Project Management , 1996 .

[79]  Wolfgang Beitz,et al.  Engineering Design: A Systematic Approach , 1984 .

[80]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[81]  J. Neyman,et al.  Frequentist probability and frequentist statistics , 1977, Synthese.

[82]  A. Neumaier,et al.  A global optimization method, αBB, for general twice-differentiable constrained NLPs — I. Theoretical advances , 1998 .

[83]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[84]  Jens Clausen,et al.  On the best search strategy in parallel branch‐and‐bound:Best‐First Search versus Lazy Depth‐First Search , 1999, Ann. Oper. Res..

[85]  William W. Finch,et al.  Predicate logic representations for design constraints on uncertainty supporting the set-based design paradigm , 1997 .

[86]  Steven C. Chapra,et al.  Numerical Methods for Engineers: With Programming and Software Applications , 1997 .

[87]  M. Fleischer,et al.  A Marketplace of Design Agents for Distributed Concurrent Set-Based Design 1 , 1997 .