Multiple Criteria Decision Support in Engineering Design

Sen, Pratyush; Yang, Jian‐Bo

doi:10.1007/978-1-4471-3020-8

Cited by 240 publications

(155 citation statements)

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“…In reality the evaluation criteria markedly differ in terms of importance, thus a relative weight is assigned to each criterion. The relative weight can be assigned by using either of the following methods [7]:…”

Section: Concept Selection Methodsmentioning

confidence: 99%

Progressive Concept Evaluation Method for Automatically Generated Concept Variants

Woldemichael

Hashim

2014

MATEC Web of Conferences

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Abstract. Conceptual design is one of the most critical and important phases of design process with least computer support system. Conceptual design support tool (CDST) is a conceptual design support system developed to automatically generate concepts for each subfunction in functional structure. The automated concept generation process results in large number of concept variants which require a thorough evaluation process to select the best design. To address this, a progressive concept evaluation technique consisting of absolute comparison, concept screening and weighted decision matrix using analytical hierarchy process (AHP) is proposed to eliminate infeasible concepts at each stage. The software implementation of the proposed method is demonstrated.

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Section: Concept Selection Methodsmentioning

confidence: 99%

Progressive Concept Evaluation Method for Automatically Generated Concept Variants

Woldemichael

Hashim

2014

MATEC Web of Conferences

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“…These design problems usually known as multi-objective problems require simultaneous consideration of all objective functions to optimize the system. There are numbers of solution methods and algorithms available for solving multiobjective optimization problems [21,[87][88][89][90][91]. In multi-objective optimizations of turbomachinery blade, efficiency, total pressure, static pressure, pressure loss, weight, stress, etc.…”

Section: Applications Of Surrogate Based Optimization Methodsmentioning

confidence: 99%

Surrogate Based Optimization Techniques for Aerodynamic Design of Turbomachinery

Samad¹,

Kim²

2009

International Journal of Fluid Machinery and Systems

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Recent development of high speed computers and use of optimization techniques have given a big momentum of turbomachinery design replacing expensive experimental cost as well as trial and error approaches. The surrogate based optimization techniques being used for aerodynamic turbomachinery designs coupled with Reynolds-averaged NavierStokes equations analysis involve single-and multi-objective optimization methods. The objectives commonly tried to improve were adiabatic efficiency, pressure ratio, weight etc. Presently coupling the fluid flow and structural analysis is being tried to find better design in terms of weight, flutter and vibration, and turbine life. The present article reviews the surrogate based optimization techniques used recently in turbomachinery shape optimizations.

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“…A MADM problem [37] usually comprises a finite number of explicitly given alternatives/solutions and a set of performance attributes/criteria. It is acknowledged that the most creative task in making a decision is to choose the factors that are important for that decision, [38].…”

Section: The Proposed Decision Modelmentioning

confidence: 99%

Rational Embracing of Modern Prototyping Capable Design Technologies into the Tools Pool of Product Design Teams

Polydoras

Sfantsikopoulos

Provatidis

2011

ISRN Mechanical Engineering

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Today's markets impose wide sets of requirements for new products. The Process of New Product Design, has shifted from sequential Engineering to Concurrent Engineering, for low cost-early market entry. Design Teams must deliver highest quality within minimum time and cost and global crisis worsens things, by further reducing budgets. Prototyping within design processes has become crucial, whereas, available prototyping alternatives have increased. Decisions regarding the use of the most appropriate one, at specific design milestones, affects and much predetermines the success of the product. This paper addresses the problem of "design target"-based embracing of available prototyping alternatives into the tools pool of design teams, in a concise, integrated way. Considering product design teams are expert driven for specific product categories, the introduced approach records the verification intent of designers and binds it to structured Generic Levels of Technical and non-Technical Attribute clusters and associated Design Factors. Furthermore, prototyping experience, manufacturing capabilities and cost of the implementing organization, local industrial status and regulations, are also considered. Utilizing the Analytic Hierarchy Process a complete decision tree leads designers to select the most appropriate prototyping method per design stage. The proposed approach assists implementing organizations and design teams towards cost/time benefits, product risk reduction, decision repeatability and independence. A pilot-model has been developed with "Expert Choice" software and an application example is discussed.

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Multiple Criteria Decision Support in Engineering Design

Cited by 240 publications

References 0 publications

Progressive Concept Evaluation Method for Automatically Generated Concept Variants

Progressive Concept Evaluation Method for Automatically Generated Concept Variants

Surrogate Based Optimization Techniques for Aerodynamic Design of Turbomachinery

Rational Embracing of Modern Prototyping Capable Design Technologies into the Tools Pool of Product Design Teams

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