Using DfX to Develop Product Features in a Validation Intensive Environment

2021 ◽  
pp. 148-157
Author(s):  
Florin Popişter ◽  
Mihai Dragomir ◽  
Calin Dan Gheorghe Neamtu
Keyword(s):  
Product Features

Software-Defined Product Features

2020 ◽  
Vol 115 (11) ◽  
pp. 824-828
Author(s):  
Adrian Barwasser ◽  
Joachim Lentes ◽  
Oliver Riedel ◽  
Nikolas Zimmermann
Keyword(s):  
Product Features

scholarly journals Does the visual salience of credit card features affect choice?

2021 ◽  
pp. 1-18
Author(s):  
Matthew D. Hilchey ◽  
Matthew Osborne ◽  
Dilip Soman
Keyword(s):  
Interest Rates ◽  
Random Sample ◽  
Credit Card ◽  
Credit Cards ◽  
Salient Feature ◽  
The Other ◽  
Visual Salience ◽  
Product Features ◽  
Hypothetical Scenario

Abstract Regulators require lenders to display a subset of credit card features in summary tables before customers finalize a credit card choice. Some jurisdictions require some features to be displayed more prominently than others to help ensure that consumers are made aware of them. This approach could lead to untoward effects on choice, such that relevant but nonprominent product features do not factor in as significantly. To test this possibility, we instructed a random sample of 1615 adults to choose between two hypothetical credit cards whose features were shown side by side in tables. The sample was instructed to select the card that would result in the lowest financial charges, given a hypothetical scenario. Critically, we randomly varied whether the annual interest rates and fees were made visually salient by making one, both, or neither brighter than other features. The findings show that even among credit-savvy individuals, choice tends strongly toward the product that outperforms the other on a salient feature. As a result, we encourage regulators to consider not only whether a key feature should be made more salient, but also the guidelines regarding when a key feature should be displayed prominently during credit card acquisition.

scholarly journals Refine the Students’ Skills Through Design Education to Create Ethical Products

SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402199836
Author(s):  
Tarek Ismail Mohamed
Keyword(s):  
Product Design ◽  
Interface Design ◽  
Visual Information ◽  
Design Education ◽  
Vital Role ◽  
Ethical Aspects ◽  
Product Features ◽  
Ethical Products ◽  
Appearance Design ◽  
Design Values

This article focuses on applying the ethics of the product features during the students’ design education. Good/Bad design term is a conventional approach to discuss the ethical/unethical design values of the products. It is noted that different aspects of the product design such as visual information design, interface design, and appearance design have a vital role in judging the levels of ethics in the product. So the students of product design everywhere need to practice the term ethical/unethical design during their study because designers influence society more than they could imagine. This influence can be done by creating an attractive organized appearance and perfect functions that support the ethical brand’s image to the customers. The interviews and discussions were held as a research method with the students of product design in some institutions in addition to some design experts and customers to find out their opinions about the design values that achieve the ethical dimensions in the product design. They can end up with products that carry ethical values in their design. The final article’s results are in the descending order of the different design values according to their importance in emphasizing the ethical aspects of the products, in addition to a checklist including some important questions that can help the designers to be more aware of ethics’ considerations in the product design because ethics is a process of learning, not a process of obedience, and to highlighting the term of ethical designer which in turn reflects on the ethics of customers and societies.

An original design approach for stimulating the ideation of new product features

2016 ◽  
Vol 75 ◽  
pp. 80-100 ◽  
Author(s):  
Daniele Bacciotti ◽  
Yuri Borgianni ◽  
Federico Rotini
Keyword(s):  
New Product ◽  
Design Approach ◽  
Original Design ◽  
Product Features

Launching new product features: a multiple case examination

2001 ◽  
Vol 18 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Jurg M. Tholkea ◽  
Erik Jan Hultinkaa* ◽  
Henry S. J. Robbenbb
Keyword(s):  
New Product ◽  
Product Features ◽  
Multiple Case

Using Key Characteristics to Balance Cost and Quality During Product Development

1997 ◽  
Author(s):  
Anna C. Thornton
Keyword(s):  
Product Development ◽  
Product Quality ◽  
Lower Cost ◽  
Process Variation ◽  
Aircraft Manufacturing ◽  
Product Features ◽  
Key Characteristics ◽  
Manufacturing Variation ◽  
Positive Return

Abstract Corporations are spending significant resources to reduce the effect of manufacturing variation on product quality as well as adopt lower cost manufacturing and assembly technologies to reduce the end costs in product development. However, to ensure that these investments have a positive return, efforts must be made to put resources into those areas where there will be the largest return. This paper describes a formalized method to make these decisions. The analysis focuses the tradeoff studies on the Key Characteristics (KCs) of the product. KCs, in use in a variety of industries, are the product features that are most sensitive to existing manufacturing and process variation and will affect the end quality of the product. Two examples from the aircraft manufacturing environment are used describe the application of the proposed methods.

scholarly journals Binary Particle Swarm Optimization-Based Association Rule Mining for Discovering Relationships between Machine Capabilities and Product Features

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Zhicong Kou ◽  
Lifeng Xi
Keyword(s):  
Particle Swarm Optimization ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Particle Swarm ◽  
Performance Comparison ◽  
Binary Particle Swarm Optimization ◽  
Rule Mining ◽  
Swarm Optimization ◽  
Product Features

An effective data mining method to automatically extract association rules between manufacturing capabilities and product features from the available historical data is essential for an efficient and cost-effective product development and production. This paper proposes a new binary particle swarm optimization- (BPSO-) based association rule mining (BPSO-ARM) method for discovering the hidden relationships between machine capabilities and product features. In particular, BPSO-ARM does not need to predefine thresholds of minimum support and confidence, which improves its applicability in real-world industrial cases. Moreover, a novel overlapping measure indication is further proposed to eliminate those lower quality rules to further improve the applicability of BPSO-ARM. The effectiveness of BPSO-ARM is demonstrated on a benchmark case and an industrial case about the automotive part manufacturing. The performance comparison indicates that BPSO-ARM outperforms other regular methods (e.g., Apriori) for ARM. The experimental results indicate that BPSO-ARM is capable of discovering important association rules between machine capabilities and product features. This will help support planners and engineers for the new product design and manufacturing.

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