scholarly journals The impact of early design phase risk identification biases on space system project performance

2012 ◽  
Author(s):  
John D. Reeves ◽  
Tim Eveleigh ◽  
Thomas Holzer ◽  
Shahryar Sarkani
Keyword(s):  
Risk Identification ◽  
Project Performance ◽  
Design Phase ◽  
Space System ◽  
Early Design ◽  
System Project ◽  
The Impact ◽  
Early Design Phase

Quantifying the Impact of Sustainable Product Design Decisions in the Early Design Phase Through Machine Learning

2016 ◽  
Author(s):  
Addison Wisthoff ◽  
Vincenzo Ferrero ◽  
Tony Huynh ◽  
Bryony DuPont
Keyword(s):  
Environmental Impact ◽  
Product Design ◽  
Sustainable Design ◽  
Design Phase ◽  
Product Attributes ◽  
Design Decisions ◽  
Early Design ◽  
The Impact ◽  
The Relationship ◽  
Early Design Phase

As more companies and researchers become interested in understanding the relationship between product design decisions and eventual environmental impact, proposed methods have explored meeting this demand. However, there are currently limited methods available for use in the early design phase to help quantify the environmental impact of making design decisions. Current methods, primarily vetted Life Cycle Assessment (LCA) methods, require the designer to wait until later in the design phase, when a product’s design is more defined; alternatively, designers are resigned to relying on prior sustainable design experience and empirical knowledge. There is a clear need to develop methods that quantitatively inform designers of the environmental impact of design decisions during the early design phase (particularly during concept generation), as this allows for reexamination of decisions before they become costly or time-intensive to change. The current work builds on previous research involving the development of a search tree of sustainable design knowledge, which, applied during the early design phase, helps designers hone in on the impact of product design decisions. To assist in quantifying the impact of these design decisions, the current work explores the development of a weighting system associated with each potential design decision. The work presented in this paper aims to quantify the general environmental impact potential design decisions have on a consumer product, by using a multi-layer perceptron neural network with back propagation training — a method of machine learning — to relate the life-cycle assessment impact of 37 case study products to product attributes. By defining the relationship between LCA data and product attributes, designers in the early design phase will be more informed of which product attributes have the largest environmental impact, such that the designer can redesign the product to have reduce this impact.

scholarly journals Adaptability of Primary and Middle Schools to Post-Pandemic Reuse - A Discussion in the Context of Flexibility

2020 ◽  
pp. 5-22
Author(s):  
Orkan Zeynel Guzelci ◽  
Sema Alacam ◽  
Serkan Kocabay ◽  
Elif Isik Akkuyu
Keyword(s):  
Middle School ◽  
Life Cycle ◽  
Building Envelope ◽  
School Buildings ◽  
Design Phase ◽  
Early Design ◽  
Outdoor Space ◽  
Function Relationship ◽  
School Plans ◽  
Early Design Phase

This study discusses how the existing primary and middle school buildings can be adapted to the new needs emerging in the Covid-19 process. The three levels of adaptation are defined as follows: Building envelope-outdoor space relationship, plan layout-function relationship, and furniture relocation. In the scope of this study, five selected school plans were evaluated in the context of flexibility in the plan layout-function relationship. In this study, the concept of “adaptation” is considered as a design approach at the early design phase and/or intervention to respond to a new need in the life cycle of the building.

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