scholarly journals Ethics and Strategy in Decision-Based Design Frameworks: Problems and Solutions

Author(s):  
Daniel Hulse ◽  
Christopher Hoyle ◽  
Irem Tumer

AbstractEngineering Design decisions impact customers, the environment and society at large in ways that have profound ethical and strategic implications for designers. Previous research in decision-based design has proposed the decisions should be made on the basis of maximizing the expected utility of the design to the designer. This paper discusses ethical and strategic challenges for these frameworks across five levels: the axioms that underlie utility, the definition of utility, the consideration of multiple stakeholders, the modeling scope, and resulting design framework implementation. Based on these problems, solutions are suggested to account for each in the development of improved, ethically- informed frameworks. Challenges presented here do not prohibit the prudent use of decision-based design frameworks per se, but instead point to cases that must addressed in practice while providing grounds for further research towards the development of decision-based design frameworks that are ethical by design.

1998 ◽  
Vol 120 (4) ◽  
pp. 653-658 ◽  
Author(s):  
G. A. Hazelrigg

Engineering design is increasingly recognized as a decision-making process. This recognition brings with it the richness of many well-developed theories and methods from economics, operations research, decision sciences, and other disciplines. Done correctly, it forces the process of engineering design into a total systems context, and demands that design decisions account for a product’s total life cycle. It also provides a theory of design that is based on a rigorous set of axioms that underlie value theory. But the rigor of decision-based design also places stringent conditions on the process of engineering design that eliminate popular approaches such as Quality Function Deployment. This paper presents the underlying notions of decision-based design, points to some of the axioms that underlie the theory of decision-based design, and discusses the consequences of the theory on engineering education.


Author(s):  
Andrew R. Schnell ◽  
Farrokh Mistree ◽  
Hongseok Moses Noh ◽  
Peter J. Hesketh

The concurrent consideration of design and manufacturing requirements at the early stages of design is one of the cited challenges in microsystem design. In this paper, we take the first steps, through an example, towards addressing these issues through the use of the compromise Decision Support Problem (cDSP). The cDSP is a domain-independent hybrid multiobjective decision support formulation utilized in engineering design. The design of a parylene microchannel for a microscale gas chromatography system is refined using the cDSP. The objective is to adjust the geometry of the microchannel to create a satisficing design for one fabrication goal and two performance goals. The cDSP is utilized for five scenarios, one in which all three goals are given equal priority, one for each of three goals when they are given first priority, and one in which the performance goals are given equal priority. We are more interested in demonstrating the method than the results per se. Our goal is to show how microsystem designers can use the cDSP to gain some insight into how these goals interact and how design decisions can be made with this insight.


Author(s):  
Michael T. Postek

The term ultimate resolution or resolving power is the very best performance that can be obtained from a scanning electron microscope (SEM) given the optimum instrumental conditions and sample. However, as it relates to SEM users, the conventional definitions of this figure are ambiguous. The numbers quoted for the resolution of an instrument are not only theoretically derived, but are also verified through the direct measurement of images on micrographs. However, the samples commonly used for this purpose are specifically optimized for the measurement of instrument resolution and are most often not typical of the sample used in practical applications.SEM RESOLUTION. Some instruments resolve better than others either due to engineering design or other reasons. There is no definitively accurate definition of how to quantify instrument resolution and its measurement in the SEM.


Author(s):  
Jason Millar

This chapter argues that, just as technological artefacts can break as a result of mechanical, electrical, or other physical defects not fully accounted for in their design, they can also break as a result of social defects not fully accounted for in their design. These failures resulting from social defects can be called social failures. The chapter then proposes a definition of social failure as well as a taxonomy of social failure modes—the underlying causes that lead to social failures. An explicit and detailed understanding of social failure modes, if properly applied in engineering design practice, could result in a fuller evaluation of the social and ethical implications of technology, either during the upstream design and engineering phases of a product, or after its release. Ideally, studying social failure modes will improve people’s ability to anticipate and reduce the rate or severity of undesirable social failures prior to releasing technology into the wild.


2021 ◽  
Vol 17 (7) ◽  
pp. 15-19
Author(s):  
V.P. Мiroshnychenko

Emergency situations constantly accompany the external environment and society bringing major material losses and human casualties. The definitions and general patterns for the development of emergency situations and their role in accidents and disasters were discussed. Actually, there is no single concept in the definition of an emergency. Based on the ana-lysis, the content of the subject was formulated: an emergency is a state of natural and anthropogenic activity in the external environment and society. The mechanism of the emergency situation development is presented. The reason for changing the normative definition of the concept of emergency situation has been substantiated.


2021 ◽  
Author(s):  
Kenneth M. Bryden ◽  
Scott Ferguson

Abstract This paper examines decision making under radical uncertainty in engineering design, that is, engineering decision making in those situations where it is not possible to know the outcomes and/or construct the utility functions and probabilities needed to support rational-human decision making. In these situations, despite being faced with radical uncertainty, engineers do (and must) proceed forward in a linear, clear, and predictable manner. Yet, they may not proceed in a manner that is well described by current engineering design frameworks. Examining the role of decision making in business and other social enterprises, Tuckett and Nikolic [1] have proposed conviction narrative theory (CNT) to describe how rational decision-makers confronted with situations in which insufficient information is available to support traditional decision-making tools use narrative and intuition to reach convincing and actionable decisions. This paper proposes that, in a manner similar to what is described in CNT, narrative and engineering judgment play a critical role in engineering design situations dominated by radical uncertainty. To that end, this paper integrates the traditional rational-human view of decision making as expressed by Hazelrigg in the well-known Decision-Based Design (DBD) framework and CNT as proposed by Tuckett and Nikolic. In the resulting rational, narrative-based design framework, narrative structures are used to describe and develop design alternatives and provide the ideas, beliefs, and preferences needed by the DBD framework. The resulting preferred design is expressed as a narrative and tested using engineering judgement. Specifically, the goal of the design process is expressed as a high-level guiding narrative that fosters the development of design narratives (design alternatives), and ultimately results in a convincing narrative that describes the preferred design. The high-level guiding narrative outlines the event(s), entity(s), preferences, and beliefs needed to support the design. The design narratives are narrative fragments that are nested within the high-level narrative and include the proposed action (idea), the specific challenges that the design faces, and the possible (but not yet verified) outcomes. The convincing narrative is the validated, preferred option that results from the DBD analysis and optimization process and is reviewed using engineering judgement. Following development of the rational, narrative-based design framework, the value of the framework is discussed within the context of practical engineering design.


Author(s):  
Matthew Marston ◽  
Farrokh Mistree

Abstract The development of a design science rests on the ideal that design is anchored in a set of fundamental axioms similar to the more ‘traditional’ sciences of mathematics and physics. However, the axioms upon which a design science is constructed must reflect that design is a science of the artificial. It is our contention that such axioms may exist in Decision-Based Design as those formulated by von-Neumann and Morgenstern for developing utilities under conditions of risk. In this paper we have a very narrow focus: evaluating a proposed framework for applying these axioms in the context of a simple design problem through the use of Monte Carlo simulation and expected utility theory.


Author(s):  
Karl-H. Grote ◽  
Soeren Schumann

Abstract The computer based engineering design process today is characterized by a large variety of (specialized) systems. This and the ongoing globalization and outsourcing of engineering services and competencies causes an increased need for data exchange over the borders of the numerous CAx-systems. Under these circumstances, data exchange has been playing an important role for time and cost sensitive development and manufacturing in every field of industry. This paper presents actual problems and solutions of data exchange over the borders of modern software platforms. It includes the description of possible influences on a product data model and introduces the latest data exchange concepts.


This chapter is an illustration of feature extraction for working with large datasets. The basic definition of feature extraction, selection of effective features, and the existing problems and solutions are provided. How feature extraction maps the high dimensional space to smaller space is explained.


2018 ◽  
pp. 1-3
Author(s):  
B.C. Clark

Sarcopenia was originally conceptualized as the age-related loss of skeletal muscle mass. Over the ensuing decades, the conceptual definition of sarcopenia has changed to represent a condition in older adults that is characterized by declining muscle mass and function, with “function” most commonly conceived as muscle weakness and/or impaired physical performance (e.g., slow gait speed). Findings over the past 15-years, however, have demonstrated that changes in grip and leg extensor strength are not primarily due to muscle atrophy per se, and that to a large extent, are reflective of declines in the integrity of the nervous system. This article briefly summarizes findings relating to the complex neuromuscular mechanisms that contribute to reductions in muscle function associated with advancing age, and the implications of these findings on the development of effective therapies.


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