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Introduction

First, at the level of relation, they reveal the logical structure of the problem in a way that allows nontechnical people to understand and contribute. Every relevant thought should have a representation in the diagram. However, decision diagrams are more than useful graphics.

When each decision in the diagram is properly specified, the decisions can be processed directly by a computer to yield the best overall decision. This method can calculate the value of information regarding any uncertainty and can also illustrate many of the sensitivities for a preferred course of action.

Decision diagrams also serve as an important communication link among those involved in the decision. Another valuable idea is a form of sensitivity analysis known as the tornado diagram because of its shape. Figure 3—7 illustrates for a particular strategy how the net present value of the final decision implementation changes as each uncertainty ranges from a low to a high value.

A low value is defined as one with a very high probability of being exceeded, a high value as one with very low probability of being exceeded. The effect on net present value for each factor is ordered in decreasing range of. This diagram quickly demonstrates the effect of each uncertainty for a given alternative. A series of tornado diagrams would show engineers at all levels of the design process the economic implications of their decisions.

A useful guide in assessing decision quality is the spider diagram shown in Figure 3—8. Here the state of quality in each of the six elements can be plotted as a percentage and then connected to form a web. The result of such an assessment is knowledge of where, if anywhere, to direct additional analysis effort.

Figure 3—8 The decision quality spider. Based on feedback from you, our users, we've made some improvements that make it easier than ever to read thousands of publications on our website. Jump up to the previous page or down to the next one. Also, you can type in a page number and press Enter to go directly to that page in the book. Switch between the Original Pages , where you can read the report as it appeared in print, and Text Pages for the web version, where you can highlight and search the text. To search the entire text of this book, type in your search term here and press Enter.

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No thanks. Suggested Citation: "3. Page 13 Share Cite. Figure 3—1 The quality of a decision. Page 14 Share Cite.

Decision-Making in Engineering Design - Yotaro Hatamura - Häftad () | Bokus

Figure 3—2 The problem space for characterization and decision making. Page 15 Share Cite. Figure 3—3 The decision hierarchy.

Page 16 Share Cite. Figure 3—4 The decision process. Figure 3—5 Decision diagram. Page 17 Share Cite.


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Page 18 Share Cite. Figure 3—6 Decision diagram for design of a dual-sport motorcycle. Figure 3—7 Tornado diagram. Page 19 Share Cite. Page 12 Share Cite. Login or Register to save! Contents Front Matter i—xii Executive Summary 1—3 1. Introduction 4—7 2. Decision Making in Engineering Design 8—11 3. Decision-making in Engineering Design is the first monograph to provide a much-needed insight into the ways in which our minds behave when we make decisions, focusing particularly on decisions made about design.

A variety of diagrams are also used to express the decision processes that take place in the mind. The final part of the book focuses on a single case study which demonstrates the importance of understanding the mind processes involved in decision making. This description of decision processes will provide the means for the development of new manufacturing systems and production activities in the future because it helps us gain a real understanding of the how the mind processes we go through when making decisions affect the decisions that we make.

The series provides an aid to practising professionals and applied researchers in the development of tools for informed operational and business decision making, within industry, by utilising distributed organisational knowledge. At present he is also a Professor at Kogakuin University. His fields of interest include nano-micro machining, force sensing, intelligent manufacturing and biomedical engineering. He has developed a method of analysing mistakes and failures and in order to show how one can achieve success by learning from failures.

Engineering Design

JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser. Engineering Mechanical Engineering. Decision Engineering. He described the different approaches available to tackle fabric mechanics in a hierarchical way and developed the concept of a computer-aided total-design system based on three frameworks: a database of information on fiber and fabric properties; a knowledge-based system using the pool of available expertise and historical data; and a deterministic suite of programs in structural mechanics.

In the s, Matsuo and Suresh 8 proposed the concept of fiber-assembly-structure engineering FASE for total material design. Total material design refers to the design of a textile product starting from the conceptual design and going up to the devising of the manufacturing method. The design has three stages: i aesthetic-effect or functional design; ii basic structure design; iii basic manufacturing design. The close relationship between garment design and fabric selection means that fabric representation and design is a fundamental part of any clothing engineering design system.

Fabric is a complex media to model, owing to its complicated microstructure. In the past two decades, cloth modeling has drawn wide attention both from the textile engineering and the computer graphics communities. The textile engineering approach concentrated on the relationship between fabric structure and measurement data.

Effective Decision Making, Problem Solving and Critical Thinking for Engineers

In the s, a series of papers by Dastor et al. The goal is the engineering design of the ideal quality of suiting on the basis of fiber science, textile mechanics and the objective measurement technology developed. Today, there are numerous existing design programs with various software tools and a wide choice of design functions. However, in such software, the focus is the image effects rather than the geometrical and mechanical models of fabrics and garments. Many existing apparel CAD systems provide assistance in pattern design, grading, marker making and cutting processes.

While the textile engineering approach offers precise details of modeling cloth at a microscopic level, 15 the computer graphics approach treats fabric as a deformable object, to develop visually-realistic cloth deformation and animation. Clothing modeling and garment simulation has grown from basic shape modeling to the modeling of cloth complex physics and behaviors. A trend of employing a multidisciplinary approach has started, the two communities having begun to combine their expertise to come up with solutions that can satisfy both of them.