Streamlining ‘environment in design' decision-making – from concept to operations in major development projects

2018 ◽  
Vol 58 (2) ◽  
pp. 679
Author(s):  
Janine M. Barrow
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Design Process ◽  
Practical Experience ◽  
Development Project ◽  
Hazard Identification ◽  
Design Decision ◽  
Engineering Design Process ◽  
Start Up ◽  
Major Development

As the engineering design process for a major development project advances from concept through to ready for start up, many key decisions are made and controls formulated that ultimately influence environmental, social (and safety) outcomes. These decisions are often made based on sound technical grounds with key decision logs, hazard identification or hazard and operability studies or similar used to record the process, but with limited recognition of environmental outcomes. Many of the onshore and offshore regulations in Australia (most notably, the Offshore Petroleum and Greenhouse Gas (Environment) Regulations 2009) require environmental risks and impacts to be reduced to a level that is as low as reasonably practicable (ALARP). Additionally, justifiable assessment of controls and decisions are presented in the environment plans (EP) that are typically prepared later on in the design process. Challenges can often arise when geographically disparate design contractors lack ALARP assessment processes to evaluate decisions and controls from an environmental perspective and record outcomes for future use in regulatory documentation. This can be particularly pronounced for operations EPs. Janine shares her practical experience in environmental integration in engineering design to showcase methods that tangibly demonstrate robust decision-making, inclusive of delivering environmental outcomes, to regulators.

A Multi Autonomic Objects Flexible Workflow and its Knowledge Acquisition Supporting Engineering Design Process

2010 ◽  
Vol 97-101 ◽  
pp. 3341-3344
Author(s):  
Dong Bo Wang ◽  
Xiu Tian Yan ◽  
Ning Sheng Guo ◽  
Tao Li
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Literature Review ◽  
Knowledge Acquisition ◽  
Engineering Design ◽  
Design Process ◽  
Design Activity ◽  
Learning Method ◽  
Matlab Simulation ◽  
Engineering Design Process

In order to support the dynamic and creative Engineering Design Process (EDP) comprehensively, after a detailed literature review, a multi autonomic objects (AO) flexible workflow is applied into the supporting and management of EDP, its support for decision making, EDP evolution and design activity granularity is explained, finally and most importantly, a genetic algorithm-based AO knowledge learning method is proposed, the algorithm is demonstrated by a MATLAB simulation that it can satisfy the knowledge acquisition in EDP satisfactorily.

scholarly journals Teachers’ Thoughts on Student Decision Making During Engineering Design Lessons

2018 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Helen Meyer
Keyword(s):  
Professional Development ◽  
Decision Making ◽  
Engineering Design ◽  
Design Process ◽  
Development Program ◽  
Study Data ◽  
Decision Making Process ◽  
Engineering Design Process ◽  
Process Study ◽  
Challenge Based Learning

In this paper, I share the results of a study of teachers’ ideas about student decision-making at entry into a professional development program to integrate engineering into their instruction. The framework for the Engineering Design Process (EDP) was based on a Challenge-Based Learning (CBL) model. The EDP embedded within the CBL model suggests teachers should provide opportunities for students to make decisions throughout the design process. The differentiation consolidation decision-making framework was used to understand the decision-making process. Study data was gathered from 16 teacher participants, interviewed and surveyed at entry into the program. The data were analyzed to understand the kinds of decision-making activities the teachers’ identified as possible for students to make based on eleven engineering design scenarios and the teachers’ current use of, and confidence in applying, lessons that engaged students in decision-making. The results indicated the teachers most frequently identified students that engaged in stage one decisions-making activities, i.e., problem identification and clarification. When the teachers discussed stage two and stage three decision-making activities, they most frequently discussed general problem solving or design process type activities with little differentiation of specific details of how the decision-making was to take place. In addition, in most cases teachers did not mention teaching or supporting student decision-making strategies.

Can a House Without a Foundation Support Design?

2005 ◽  
Author(s):  
Andrew Olewnik ◽  
Kemper Lewis
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Engineering Design ◽  
Design Process ◽  
Decision Support Tool ◽  
Design Tool ◽  
House Of Quality ◽  
Support Design ◽  
Support Tool ◽  
Engineering Design Process

The House of Quality is a popular tool that supports information processing and decision making in the engineering design process. While its application is an aid in conceptual aspects of the design process, its use as a quantitative decision support tool in engineering design is potentially flawed. This flaw is a result of assumptions behind the methodology of the House of Quality and is viewed as an important deficiency that can lead to potentially invalid and poor decisions. In this paper this deficiency and its implications are explored both experimentally and empirically. The resulting conclusions are important to future use and improvement of the House of Quality as an engineering design tool.

scholarly journals Iterative value models generation in the engineering design process

2019 ◽  
Vol 5 ◽  
Author(s):  
Marco Bertoni ◽  
Alessandro Bertoni
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Lessons Learned ◽  
Design Decision ◽  
System Perspective ◽  
Engineering Design Process ◽  
New Information ◽  
Design Activities ◽  
Definition Of ◽  
Value Model

Value models are increasingly discussed today as a means to frontload conceptual design activities in engineering design, with the final goal of reducing cost and rework associated with sub-optimal decisions made from a system perspective. However, there is no shared agreement in the research community about what a value model exactly is, how many types of value models are there, their input–output relationships and their usage along the engineering design process timeline. Emerging from five case studies conducted in the aerospace and in the construction equipment industry, this paper describes how to tailor the development of value models in the engineering design process. The initial descriptive study findings are summarized in the form of seven lessons learned that shall be taken into account when designing value models for design decision support. From these lessons, the paper proposes a six-step framework that considers the need to update the nature and definition of value models as far as new information becomes available, moving from initial estimations based on expert judgment to detailed quantitative analysis.

The Preferences for Creativity Scale (PCS): Identifying the Underlying Constructs of Creative Concept Selection

2016 ◽  
Author(s):  
Christine A. Toh ◽  
Scarlett R. Miller
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Engineering Design ◽  
Design Process ◽  
Risk Tolerance ◽  
Future Research ◽  
Concept Selection ◽  
Engineering Design Process ◽  
Confirmatory Factor ◽  
Decision Making Biases

Creativity is highly emphasized during the engineering design process, but prior research has shown that decision-making biases and individual attributes can affect perceptions and preferences for creativity. However, there is a lack of knowledge of how to measure creativity during concept selection, or about the factors that affect designers’ preferences for creative concepts in an engineering design context. As a first step in understanding what factors contribute to the promotion or filtering of creative concepts during concept selection, this study investigates the factors that can affect preferences for creativity through the development of a psychometric survey that assesses student designers’ preferences for creativity through Exploratory Factor Analysis and Confirmatory Factor Analysis. The result of these analyses is the 23-item Preferences for Creativity Scale (PCS) that assesses an individual’s preference for creativity in engineering design on 4 major dimensions: (1) Team Centrality, (2) Risk Tolerance, (3) Creative Confidence/ Preference, and (4) Motivation. The results of these analyses provide a foundation for studying creativity in the design process and allow for future research that investigates the factors that influence creative concept selection in engineering design.

Exploring the Engineering Design Process Through Computer-Aided Design and 3-D Printing

Science Scope ◽  
2017 ◽  
Vol 041 (01) ◽  
Author(s):  
Nicholas Garafolo ◽  
Nidaa Makki ◽  
Katrina Halasa ◽  
Wondimu Ahmed ◽  
Kristin Koskey ◽  
...  
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Computer Aided Design ◽  
Engineering Design Process ◽  
Computer Aided ◽  
Aided Design

scholarly journals Challenging the engineering design process for the development of facial masks in the constraint of the COVID-19 pandemic

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 660-665
Author(s):  
Giovanni Formentini ◽  
Núria Boix Rodríguez ◽  
Claudio Favi ◽  
Marco Marconi
Keyword(s):  
Engineering Design ◽  
Design Process ◽  
Engineering Design Process
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