An Integrated Robust Design and Marketing Approach for Product Design Selection Process

2004 ◽  
Author(s):  
B. Besharati ◽  
L. Luo ◽  
S. Azarm ◽  
P. K. Kannan
Keyword(s):  
Engineering Design ◽  
Selection Process ◽  
Design Domain ◽  
Sampling Errors ◽  
Customer Preferences ◽  
Design Alternatives ◽  
Feasibility Robustness ◽  
Design Selection ◽  
The Impact ◽  
Marketing Approach

We present an integrated engineering design and marketing approach to facilitate the selection of a robust set of product designs to carry forward to the prototype stage. Our approach considers variability (i.e., noise or uncertainty) in both (i) engineering design domain, and (ii) customer preferences in marketing domain, to prune a set of design alternatives to a manageable size. In the design domain, our approach evaluates performance and feasibility robustness of a design alternative when there are variations in uncontrollable parameters. The goal of our approach in the design domain is to obtain a set of design alternatives that shows the best possible performance while maintaining feasibility even if the alternatives are subject to applications and environments that are different from their standard laboratory conditions (i.e., nominal parameter values). In the marketing domain, our approach considers the impact of performance variations in different usage situations and conditions on customer preferences and the uncertainties and sampling errors in estimating customer preferences. In addition, competitive products and their positions are considered in pruning the set of design alternatives. We illustrate our approach in the context of the design of a cordless power tool example, which highlights the advantages of using our approach.

Multi-Objective Single Product Robust Optimization: An Integrated Design and Marketing Approach

2005 ◽  
Vol 128 (4) ◽  
pp. 884-892 ◽  
Author(s):  
B. Besharati ◽  
L. Luo ◽  
S. Azarm ◽  
P. K. Kannan
Keyword(s):  
Integrated Design ◽  
Design Domain ◽  
Sampled Data ◽  
Single Product ◽  
Multi Objective ◽  
Customer Preferences ◽  
Acceptable Range ◽  
Design Alternatives ◽  
Objective Performance ◽  
Marketing Approach

We present an integrated design and marketing approach to facilitate the generation of an optimal robust set of product design alternatives to carry forward to the prototyping stage. The approach considers variability in both (i) engineering design domain, and (ii) customer preferences in marketing domain. In the design domain, the approach evaluates performance and robustness of a design alternative due to variations in its uncontrollable parameters. In the marketing domain, in addition to considering competitive product offerings, the approach considers designs that are robust in customer preferences with respect to: (1) the variations in the design domain, and (2) the inherent variations in the estimates of preferences given the fit of the preference model to the sampled data. Our overall goal is to obtain design alternatives that are multi-objectively robust and optimal, i.e., (1) are optimal for nominal values of parameters, and (2) are within a known acceptable range in their multi-objective performance, and (3) maintain feasibility even when they are subject to applications and environments that are different from nominal or standard laboratory conditions. We illustrate the highlights of our approach with the design of a corded power tool example.

Product Design Selection With Preference and Attribute Variability for an Implicit Value Function

2005 ◽  
Vol 128 (5) ◽  
pp. 1027-1037 ◽  
Author(s):  
A. K. Maddulapalli ◽  
S. Azarm
Keyword(s):  
Product Design ◽  
Value Function ◽  
Selection Process ◽  
Optimal Designs ◽  
Engineering Product ◽  
Marginal Rate ◽  
Marginal Rate Of Substitution ◽  
Design Alternatives ◽  
Attribute Levels ◽  
Design Selection

An important aspect of engineering product design selection is the inevitable presence of variability in the selection process. There are mainly two types of variability: variability in the preferences of the decision maker (DM) and variability in attribute levels of the design alternatives. We address both kinds of variability in this paper. We first present a method for selection with preference variability alone. Our method is interactive and iterative and assumes only that the preferences of the DM reflect an implicit value function that is differentiable, quasi-concave and non-decreasing with respect to attributes. The DM states his/her preferences with a range (due to the variability) for marginal rate of substitution (MRS) between attributes at a series of trial designs. The method uses the range of MRS preferences to eliminate “dominated designs” and then to find a set of “potentially optimal designs.” We present a payload design selection example to demonstrate and verify our method. Finally, we extend our method for selection with preference variability to the case where the attribute levels of design alternatives also have variability. We assume that the variability in attribute levels can be quantified with a range of attribute levels.

Product Line Design Selection Under Uncertainty and With Competitive Advantage

2001 ◽  
Author(s):  
Hui Li ◽  
Shapour Azarm
Keyword(s):  
Selection Process ◽  
Product Line ◽  
Product Line Design ◽  
Alternative Evaluation ◽  
Customer Preferences ◽  
Business Goals ◽  
Design Alternative ◽  
Evaluation Stage ◽  
Design Selection ◽  
Line Design

Abstract An approach for product line design is presented in which a line of products is selected for launching into the market. In the approach, the product line design is viewed as a selection process with two main stages: design alternative generation and design alternative evaluation. The focus of this paper is on the design alternative evaluation stage. Issues considered include a large variety of customer preferences, market competitions, multiple business goals, uncertainty, and commonality among the alternatives in a product line. Because of the combinatorial nature of the problem, genetic algorithms are used in the design evaluation stage. Product line design selection of a cordless screwdriver is used as a demonstration example. However, the emphasis in the example is on the approach and not in the details per se.

The Role of Individual Risk Attitudes on the Selection of Creative Concepts in Engineering Design

2014 ◽  
Author(s):  
Christine A. Toh ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Engineering Students ◽  
Ambiguity Aversion ◽  
Selection Process ◽  
Individual Risk ◽  
Risk Attitudes ◽  
First Year ◽  
Concept Selection ◽  
Design Creativity ◽  
The Impact

While creativity is often seen as an indispensable quality of engineering design, individuals often select conventional or previously successful options during the concept selection process due to the inherent risk associated with creative concepts. Surprisingly, prior research has shown that this preference for conventional design alternatives is often done in an unconscious manner and is attributed to people’s inadvertent bias against creativity. While we know that designers may prematurely filter out creative ideas, little is actually known about what factors attribute to the promotion or filtering of these creative concepts during concept selection. The current paper describes an empirical study conducted with 19 first-year engineering students aimed at investigating the impact of individual risk aversion and ambiguity aversion on the selection and filtering of creative ideas during the concept selection process. The results from this study indicate that individual risk attitudes are related to both creative ability and creative concept selection. However, an individual’s ability to generate creative ideas was found to be unrelated to their preference for creative ideas during concept selection. These results add to our understanding of creativity during concept selection and provide guidelines for enhancing the design process to encourage design creativity.

My Idea Is Best! Ownership Bias and its Influence on Engineering Concept Selection

2015 ◽  
Author(s):  
Christine A. Toh ◽  
Arti H. Patel ◽  
Andrew A. Strohmetz ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Design Education ◽  
Engineering Students ◽  
Selection Process ◽  
Concept Selection ◽  
Team Members ◽  
Design Concepts ◽  
Final Design ◽  
Process Factors ◽  
The Impact

Concept selection is considered one of the most crucial components of the engineering design process because the direction of the final design is largely determined at this stage. One of the most widely utilized techniques for filtering designs during this process involves informal review meetings where team members identify the designs that most closely satisfy the design goals. While this is often seen as an efficient process, factors such as ownership bias, or an unintentional preference for an individuals’ own ideas, and team member personality attributes may impact an individual’s decision-making process. However, few studies have explored the impact of these factors on concept selection. Therefore, an empirical study was conducted with 37 engineering students in order to investigate the effect of these attributes on the selection or filtering of design concepts in engineering education. The results from this study show that personality impacts the proportion of ideas selected, and that male students tend to select more of their own ideas (ownership bias) than their female counterparts who more often select their team member’s concepts. These results add to our understanding of the factors that impact the team concept selection process and provide empirical evidence of the occurrence of ownership bias in engineering design education.

The Effects of Gender and Idea Goodness on Ownership Bias in Engineering Design Education

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Christine A. Toh ◽  
Andrew A. Strohmetz ◽  
Scarlett R. Miller
Keyword(s):  
Engineering Design ◽  
Design Education ◽  
Engineering Students ◽  
Selection Process ◽  
Concept Selection ◽  
High Quality ◽  
Team Members ◽  
Engineering Design Education ◽  
Final Design ◽  
The Impact

Concept selection is a critical stage of the engineering design process because of its potential to influence the direction of the final design. While formalized selection methods have been developed to increase its effectiveness and reduce human decision-making biases, research that understands these biases in more detail can provide a foundation for improving the selection process. One important bias that occurs during this process is ownership bias or an unintentional preference for an individual's own ideas over the ideas of others. However, few studies have explored ownership bias in a design setting and the influence of other factors such as the gender of the designer or the “goodness” of an idea. In order to understand the impact of these factors in engineering design education, a study was conducted with 110 engineering students. The results from this study show that male students tend to show ownership bias during concept selection by selecting more of their own ideas while female students tend to show the opposite bias, the Halo Effect, by selecting more of their team members' concepts. In addition, participants exhibited ownership bias for ideas that were considered good or high quality, but the opposite bias for ideas that were not considered good or high quality. These results add to our understanding of the factors that impact team concept selection and provide empirical evidence of the occurrence of ownership bias and the effects of gender and idea goodness in engineering design education.

Students’ Management to Increase the Character and Achievement in MAN 2 Banjarnegara

2018 ◽  
Vol 2 ◽  
Author(s):  
Sidik Wibowo Akhmad
Keyword(s):  
Academic Achievement ◽  
Extracurricular Activities ◽  
Selection Process ◽  
Skill Test ◽  
Spare Time ◽  
New Students ◽  
Strong Motivation ◽  
Character Building ◽  
The Impact ◽  
Enrollment Process

The purpose of this study was to describe the students’ management in increasing the character and achievement in MAN 2 Banjarnegara including: (1) the enrollment process of new students, (2) guiding students through discipline, noble character building, academic and non-academic achievement, and (3) the impact of character building and the achievement for students MAN 2 Banjarnegara. This research implemented descriptive qualitative approach. The data collection techniques were in-depth interview, observation, and documentation study. The validity of the data used three criteria; namely credibility, dependability, and conformability. The findings of this study were: The first, the enrollment process of the new students was made a breakthrough during the registration of academic and non-academic achievement of scholarships, the selection process was conducted through the value of official learning reports, certificate of championship/achievement, academic potential test and non-academic, and also the skill test. For the students who passed the selection process were supposed to sign the achievement contract during the learning process at MAN 2 Banjarnegara. The second, the character building was done by the concept of habituation and activities program that were integrated in curricular and extracurricular activities. The third, students who joined the academic and non-academic achievement programs at MAN 2 Banjarnegara had strong motivation, spirit of competition to achieve higher achievement and more focus on self-development and they could anticipate the usage of spare time for positive things/activities.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

Lighting energy performance determination in office environments through implementation of EN 15193-1 for Turkey

2021 ◽  
pp. 147715352098742
Author(s):  
FŞ Yilmaz
Keyword(s):  
System Design ◽  
Architectural Design ◽  
Office Buildings ◽  
Energy Requirements ◽  
System Control ◽  
Lighting System ◽  
Artificial Lighting ◽  
Design Alternatives ◽  
Lighting Energy ◽  
The Impact

Office buildings are building typologies where efficient and optimal use of lighting energy is crucial while providing comfortable visual environments. The purpose of this study is to explore the impact of diverse architectural design alternatives on lighting energy requirements and lighting energy saving possibilities through a case study. In this study, a total of 3888 design alternatives are investigated in a comparative way in terms of daylighting system design alternatives, artificial lighting system design scenarios, artificial lighting system control types and shading system control options. Introducing the adaptation process of the EN 15193-1:2017 standard for Turkey’s specific climatic and geographical conditions and considering diverse lighting design scenarios, results of this parametric study aim to underline the significance of architectural design strategies in office buildings for the reduction of lighting energy requirements.

Computational Design Synthesis: A Model-Based Approach for Complex Systems

2012 ◽  
Author(s):  
Nicolas Albarello ◽  
Jean-Baptiste Welcomme
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Design Rules ◽  
System Architectures ◽  
Architecture Model ◽  
Model Based ◽  
Design Alternatives ◽  
Systems Architectures ◽  
The Impact

The design of systems architectures often involve a combinatorial design-space made of technological and architectural choices. A complete or large exploration of this design space requires the use of a method to generate and evaluate design alternatives. This paper proposes an innovative approach for the design-space exploration of systems architectures. The SAMOA (System Architecture Model-based OptimizAtion) tool associated to the method is also introduced. The method permits to create a large number of various system architectures combining a set of possible components to address given system functions. The method relies on models that are used to represent the problem and the solutions and to evaluate architecture performances. An algorithm first synthesizes design alternatives (a physical architecture associated to a functional allocation) based on the functional architecture of the system, the system interfaces, a library of available components and user-defined design rules. Chains of components are sequentially added to an initially empty architecture until all functions are fulfilled. The design rules permit to guarantee the viability and validity of the chains of components and, consequently, of the generated architectures. The design space exploration is then performed in a smart way through the use of an evolutionary algorithm, the evolution mechanisms of which are specific to system architecting. Evaluation modules permit to assess the performances of alternatives based on the structure of the architecture model and the data embedded in the component models. These performances are used to select the best generated architectures considering constraints and quality metrics. This selection is based on the Pareto-dominance-based NSGA-II algorithm or, alternatively, on an interactive preference-based algorithm. Iterating over this evolution-evaluation-selection process permits to increase the quality of solutions and, thus, to highlight the regions of interest of the design-space which can be used as a base for further manual investigations. By using this method, the system designers have a larger confidence in the optimality of the adopted architecture than using a classical derivative approach as many more solutions are evaluated. Also, the method permits to quickly evaluate the trade-offs between the different considered criteria. Finally, the method can also be used to evaluate the impact of a technology on the system performances not only by a substituting a technology by another but also by adapting the architecture of the system.

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