Linking Creativity Measurements to Product Market Favorability: A Data-Mining Approach

2017 ◽  
Author(s):  
Christian E. Lopez B. ◽  
Xuan Zheng ◽  
Scarlett R. Miller
Keyword(s):  
Data Mining ◽  
Early Stage ◽  
Product Market ◽  
New Product ◽  
Design Stage ◽  
Future Market ◽  
Early Design ◽  
Early Design Stage ◽  
Data Mining Approach ◽  
The Future

While creative ideas can lead to market success and payoff, they are also associated with high risks and uncertainties. One way to reduce these uncertainties is to provide decision makers with valuable information about the innovative potential and future success of an idea. Even though several metrics have been proposed in the literature to evaluate the creativity of early design-stage ideas, these metrics do not provide information about the future product success or market favorability of new product ideas. Hence, existing metrics fail to link the creativity of early-stage ideas to their future market favorability. In order to bridge this gap, the current work proposes a new metric to estimate early design-stage ideas’ favorability and analyzes its relationship with current creativity metrics. A data-mining driven method to assess the future favorability of new product ideas using customers’ reviews of current market products that shared similar features with the new ideas of interest is presented. The results suggest that the new product idea favorability is positively correlated with relative creativity metrics and existing product market favorability ratings. This method can be used to help designers gain a better insight into the creativity and market favorability potential of new product ideas in early design-stages via a systematic approach; hence, helping reduce the risks and uncertainties associated with early-phase ideas during the screening and selecting process.

scholarly journals A STUDY OF ENVIRONMENTAL APPROACH IN EARLY DESIGN STAGE

BORDER ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 53-64
Author(s):  
Fenty Ratna Indarti
Keyword(s):  
Early Stage ◽  
Developed Countries ◽  
Energy Performance ◽  
Design Stage ◽  
Temperate Climate ◽  
Building Performance ◽  
Early Design ◽  
Early Design Stage ◽  
Earth Condition ◽  
Reduce Carbon Emission

Due to the ozone layer depletion, global warming and climate change, there is a significant increase to reduce carbon emission. Practitioners and academia undertake studies to promote environmentally friendly built environments. Developed countries have established specific standards to achieve a carbon neutral as their commitment to contribute for a better earth condition. Design phases are considered as the early stage where the environmental approach needs to be applied to predict the building performance as soon as possible to maximise the energy efficiency of the proposed building. Another significant factor affecting the building energy performance is climate. Climate becomes the first parameter to generate building proposals as it is contextual to the site. This study aims to assess the application of environmental approach in designing educational building in temperate climate during the early design stage. The combination of design and simulation during the early design stage, helps to define the best design proposal to adopt passive design that harvest the environment condition as much as possible to deliver comfort into the building.

scholarly journals Facade Style Mixing using Artificial Intelligence for Urban Infill

2021 ◽  
Author(s):  
AHMED KHAIRADEEN ALI ◽  
One Jae Lee
Keyword(s):  
Artificial Intelligence ◽  
Architectural Design ◽  
Early Stage ◽  
Building Design ◽  
Digital Design ◽  
Design Stage ◽  
Generative Adversarial Network ◽  
Early Design ◽  
Early Design Stage ◽  
Early Stage Design

Artificial Intelligence and especially machine learning have noticed rapid advancement on image processing operations. However, its involvement in the architectural design is still in its initial stages compared to other disciplines. Therefore, this paper addresses the issues of developing an integrated bottom up digital design approach and details a research framework for the incorporation of Deep Convolutional Generative Adversarial Network (GAN) for early stage design exploration and generation of intricate and complex alternative facade designs for urban infill. This paper proposes a novel building facade design by merging two neighboring building’s architecture style, size, scale, openings, as reference to create a new building design in the same neighborhood for urban infill. This newly produced building contains the outline, style and shape of the parent buildings. A 2D urban infill building design is generated as a picture where 1) neighboring buildings are imported as a reference using mobile phone and 2)iFACADE decode their spatial adjacency. It is depicted the iFACADE will be useful for designers in the early design stage to generate new façades depending on existing buildings in a short time that will save time and energy. Besides, building owners can use iFACADE to show their architects their preferred architecture facade by mixing two building styles and generating a new building. Therefore, it is depicted that iFACADE can become a communication platform in the early design stages between architects and owners. Initial results properly define a heuristic function for generating abstract design facade elements and sufficiently illustrate the desired functionality of our developed prototype.

scholarly journals APIX: Analysis From Pixellated Inputs in Early Design Using a Pen-Based Interface

2011 ◽  
Author(s):  
Sundar Murugappan ◽  
Vinayak ◽  
Karthik Ramani ◽  
Maria C. Yang
Keyword(s):  
Product Development ◽  
Early Stage ◽  
Three Dimensional ◽  
Geometric Constraints ◽  
Design Stage ◽  
Two Dimensional ◽  
Element Analysis ◽  
Early Design ◽  
Early Design Stage ◽  
Simulation Tools

Product development is seeing a paradigm shift in the form of a simulation-driven approach. Recently, companies and designers have started to realize that simulation has the biggest impact when used as a concept verification tool in early stages of design. Early stage simulation tools like ANSYS™ Design Space and SIMULIA™ DesignSight Structure help to overcome the limitations in traditional product development processes where analyses are carried out by a separate group and not the designers. Most of these commercial tools still require well defined solid models as input and do not support freehand sketches, an integral part of the early design stage of product development. To this extent, we present APIX (acronym for Analysis from Pixellated Inputs), a tool for quick analysis of two dimensional mechanical sketches and parts from their static images using a pen-based interface. The input to the system can be offline (paper) sketches and diagrams, which include scanned legacy drawings and freehand sketches. In addition, images of two-dimensional projections of three dimensional mechanical parts can also be input. We have developed an approach to extract a set of boundary contours to represent a pixellated image using known image processing algorithms. The idea is to convert the input images to online sketches and use existing stroke-based recognition techniques for further processing. The converted sketch can now be edited, segmented, recognized, merged, solved for geometric constraints, beautified and used as input for finite element analysis. Finally, we demonstrate the effectiveness of our approach in the early design process with examples.

Resilience Allocation for Early Stage Design of Complex Engineered Systems

2016 ◽  
Vol 138 (9) ◽  
Author(s):  
Nita Yodo ◽  
Pingfeng Wang
Keyword(s):  
Distribution System ◽  
Failure Modes ◽  
Early Stage ◽  
Design Stage ◽  
Early Design ◽  
Early Design Stage ◽  
Complex Engineered Systems ◽  
Operating Environments ◽  
Early Stage Design ◽  
Critical Components

The continuous pursuits of developing a better, safer, and more sustainable system have pushed systems to grow in complexity. As complexity increases, challenges consequently arise for system designers in the early design stage to take account of all potential failure modes in order to avoid future catastrophic failures. This paper presents a resilience allocation framework for resilience analysis in the early design stage of complex engineering systems. Resilience engineering is a proactive engineering discipline that focuses on ensuring the performance success of a system by adapting to changes and recovering from failures under uncertain operating environments. Utilizing the Bayesian network (BN) approach, the resilience of a system could be analyzed and measured quantitatively in a probabilistic manner. In order to ensure that the resilience of a complex system satisfies the target resilience level, it is essential to identify critical components that play a key role in shaping the top-level system resilience. Through proper allocation of resilience attributes to these critical components, not only target could resilience requirements be fulfilled, global cascading catastrophic failure effects could also be minimized. An electrical distribution system case study was used to demonstrate the developed approach, which can also be used as a fundamental methodology to quantitatively evaluate resilience of engineered complex systems.

Model Validation in Early Phase of Designing Complex Engineered Systems

2018 ◽  
Author(s):  
Elham Keshavarzi ◽  
Kai Goebel ◽  
Irem Y. Tumer ◽  
Christopher Hoyle
Keyword(s):  
Model Simulation ◽  
Early Stage ◽  
Design Stage ◽  
Early Design ◽  
The Real ◽  
Early Design Stage ◽  
Complex Engineered Systems ◽  
Search Tool ◽  
Engineered Systems

In design process of a complex engineered system, studying the behavior of the system prior to manufacturing plays a key role to reduce cost of design and enhance the efficiency of the system during its lifecycle. To study the behavior of the system in the early design phase, it is required to model the characterization of the system and simulate the system’s behavior. The challenge is the fact that in early design stage, there is no or little information from the real system’s behavior, therefore there is not enough data to use to validate the model simulation and make sure that the model is representing the real system’s behavior appropriately. In this paper, we address this issue and propose methods to validate the model developed in the early design stage. First we propose a method based on FMEA and show how to quantify expert’s knowledge and validate the model simulation in the early design stage. Then, we propose a non-parametric technique to test if the observed behavior of one or more subsystems which currently exist, and the model simulation are the same. In addition, a local sensitivity analysis search tool is developed that helps the designers to focus on sensitive parts of the system in further design stages, particularly when mapping the conceptual model to a component model. We apply the proposed methods to validate the output of failure simulation developed in the early stage of designing a monopropellant propulsion system design.

Utilizing Kaizen process and DFSS methodology for new product development

2017 ◽  
Vol 34 (3) ◽  
pp. 378-394 ◽  
Author(s):  
Mahmoud Awad ◽  
Yassir A. Shanshal
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Real Life ◽  
New Product ◽  
Design Stage ◽  
Content Type ◽  
Early Design ◽  
Early Design Stage ◽  
Kaizen Events

Purpose The purpose of this paper is to propose a new framework for early design stage utilizing the benefits of Kaizen events, and Design for Six Sigma (DFSS) methodology. To gain a better understanding of the proposed method, a case study of a diesel engine development was presented where the proposed methodology was followed. Design/methodology/approach This paper proposes a hybrid Kaizen DFSS methodology consisting of four Kaizen milestone events with pre-work preceding these events. The events are in line with the four phases of DFSS methodology (define, characterize, optimize, and verify). Findings In order for the proposed method to succeed, few key enablers should be available such as management buy-in and support, effective resources utilization, and proper planning. However, this methodology should be utilized for key projects where criticality is high and deadlines are nearby. Practical implications As proved by two projects, one of them is presented in this paper; the use of the proposed methodology is effective and can bring significant positive changes to an organization. Originality/value Although Kaizen is an old and well-known process, it is to the best of the author’s knowledge that Kaizen has not been utilized in the early design stages of new product development projects. In this paper, a hybrid methodology combining traditional DFSS systematic approach conducted using Kaizen improvement events is proposed and supported by a real-life case study.

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