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Fuzzy MCDM-procedure for Design Evaluation: Capturing Redundant Information with an Interaction Matrix
Abstract
Design choices made early in the product development process have an important impact on the chances of product commercialization and on product success in general. These choices are typically multiple-criteria problems, where estimates about the goodness of each criterion often contain overlapping redundant information. Many multiple-criteria decision-making methods that can support design selection exist, but there are very few methods out there that properly consider interdependent criteria and information redundancy. This paper proposes a new MCDM procedure for design evaluation that is able to capture overlapping information through a simple interaction matrix and weight-formation for each criterion that is based on the degree of their interaction. The use of the proposed procedure is numerically illustrated with a case study.
Keywords: MCDM, interacting variables, information redundancy, design choice.
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The growing field of Group Decision and Negotiation is best described as the empirical, formal, computational, and strategic analysis of group decision-making and negotiation, especially from the viewpoints of Management Science and Operations Research. The topic crosses many traditional disciplinary boundaries. It has connections to business administration and business strategy, management science, systems engineering, computer science, mathematics, and law, as well as economics, psychology, and other social sciences. This defining handbook provides an up-to-date reference on new approaches to the principles and practice of negotiation, group decision-making, and collaboration, including the origins, development, and prospects of electronic negotiation, as well as the associated development of on-line or computer-based arbitration systems. It also provides a current and comprehensive reference on how traditional issues in negotiation, such as knowledge, language, strategy, fairness and justice, have been transformed by technology. Until now, this advancing field has lacked a comprehensive, accurate, reliable, and readable reference. This handbook satisfies this need, and is set to become the major reference in the field.
Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.
a b s t r a c t This paper presents the conceptual design of kenaf fiber polymer composites automotive parking brake lever using the integration of Theory of Inventive Problem Solving (TRIZ), morphological chart and Ana-lytic Hierarchy Process (AHP) methods. The aim is to generate and select the best concept design of the component based on the product design specifications with special attention to incorporate the use of natural fiber polymer composites into the component design. In this paper, the TRIZ contradiction matrix and 40 inventive principles solution tools were applied in the early solution generation stage. The principle solution parameters for the specific design characteristics were later refined in details using the aid of morphological chart to systematically develop conceptual designs for the component. Five (5) innovative design concepts of the component were produced and AHP method was finally utilized to perform the multi-criteria decision making process of selecting the best concept design for the polymer composite automotive parking brake lever component.
The evaluation process of conceptual design alternatives is a critical point for companies which operate in fast-growing markets due to its influence on all subsequent phases with regard to cost, quality and performance of the end-product. While various methods exist that are able to successfully carry out this difficult and time-consuming process, many have drawbacks (e.g., inability to consider coupled decision, inability to incorporate uncertainty, etc). The growing number of articles on concept selection literature is an indication of the importance of effective design strategy and of its role in improving the competitiveness of an organisation. Accordingly, this paper surveys concept selection methods (CSMs) published between 1980 and 2008. Our overall goal is to provide designers and decision-makers with an overview of the underlying principles used in the reviewed methods along with the advantages and limitations.
This paper reviews the main theories and methods used for multiple attribute decision making in a fuzzy environment. Fuzzy multiple attribute decisions involve two processes, the rating and the ranking of alternatives. If the rating results are crisp then the ranking procedure becomes straightforward; hence, the emphasis of this paper is on obtaining crisp ratings for alternatives. In order to aid the decision maker to express his/her attribute preferences, new elicitation techniques to determine attributes importance are proposed. These techniques range from statistical to scaling methods based on linguistic variables, and so enable a more versatile elicitation procedure as well as providing crisp preferences.
Concerns related to climate change and security of energy supply are pushing various countries to make strategic energy planning decisions. This requires the development of energy models to aid decision-making. Large scale energy models are often very complex and use economic optimization to define energy strategies. Thus, they might be black-boxes to public decision-makers. This work aims at overcoming this issue by proposing a new modelling framework, designed to support decision-makers by improving their understanding of the energy system. The goal is to show the effect of the policy and investment decisions on final energy consumption, total cost and environmental impact.
Este libro es una introducción a la aritmética difusa.
This book is about best practices for the design of mechanical products. It is available from Amazon and other sources at a reasonable price.
From the Publisher:The pioneer of the Total Design movement, Stuart Pugh, created the framework for a structured and methodical design process that is being adopted by an ever-increasing number of companies today. Pugh's seminal book, Total Design, provides ground-breaking insights from a great visionary. This new work, Creating Innovative Products Using Total Design: The Living Legacy of Stuart Pugh, now allows the reader to benefit from Pugh's practical experiences that made him a legacy in product design and development. Chapter summaries by the eminent Dr. Don Clausing and Dr. Ron Andrade position the importance of Pugh's work in today's engineering design world. Every product development professional should have a copy of this book because it covers the entire spectrum of the product design process. In particular, it emphasizes that a total design approach - in all its complexity - is absolutely essential for consistent success in product development. In this book, you will find Pugh's most famous work, "Concept Selection - A Method that Works," describing innovative techniques that were put to the test so successfully for General Motors's Saturn project. You will also learn about the 34 elements of Pugh's Product Design Specification, the core of his design methodology. In addition, Pugh takes a close look at Computer-Aided Design (CAD) and knowledge-based engineering, relating them to the concepts of static and dynamic design. The book also offers a careful analysis of the human side of product design, addressing team dynamics, management techniques, and the processes that foster creativity and steady progress.
Achieving the economic and viability of power generation from wave energy requires design and development of new and improved machinery. This paper displays the design of an improved impulse turbine using a systematic method, which combines two powerful design tools, i.e. Pugh concept analysis and 3DCAD environment. Using this approach allows the user to combine the strength of Pugh’s method and the design space, allowing the concept selection process to be streamlined. This brings new concept in the mechanical design field, which is inline with the technological trends prevalent in the industry. The capabilities of the proposed approach is applied in a case study that considers impulse turbine wave energy extraction optimum design. The latter was arrived at by combining and/or refining the alternatives as the process develops. Furthermore, the optimum design has been tested for structural performance using structural analysis integrated within the 3DCAD environment. The results show a moderate design stress which would relax the manufacturing technique, and yet with a good safety factor.
There has been a growing interest and activity in the area of multiple criteria decision making (MCDM), especially in the last 20 years. Modeling and optimization methods have been developed in both crisp and fuzzy environments. The overwhelming majority of approaches for finding best compromise solutions to MCDM problems do not make use of the interdependences among the objectives. However, as has been pointed out by Carlsson, in modeling real world problems (especially in management sciences) we often encounter MCDM problems with interdependent objectives. It is our intention in this paper to introduce measures of interdependences between the objectives, in order to provide for a better understanding of the decision problem, and to find effective and more correct solutions to MCDM problems.
In multiple objective programs [MOP], application functions are establised to measure the degree of fulfillment of the decision maker's requirements (achievement of goals, nearness to an ideal point, satisfaction, etc.) about the objective functions (see e.g., Delgado et al., 1990; Zimmermann, 1978) and are extensively used in the process of finding “good compromise” solutions. We have earlier demonstrated that the use of interdependences among objectives of a MOP in the definition of the application functions provides for more correct solutions and faster convergence. In this paper, generalizing the principle of application functions to fuzzy multiple objective programs [FMOP] with interdependent objectives, we define a large family of application functions for FMOP and illustrate our ideas by a simple three-objective program.
Multiple criteria decision making (MCDM) shows signs of becoming a maturing field. There are four quite distinct families of methods: (i) the outranking, (ii) the value and utility theory based, (iii) the multiple objective programming, and (iv) group decision and negotiation theory based methods. Fuzzy MCDM has basically been developed along the same lines, although with the help of fuzzy set theory a number of innovations have been made possible; the most important methods are reviewed and a novel approach — interdependence in MCDM — is introduced.
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