scholarly journals Roadmap to Consider Physiological and Psychological Aspects of User-product Interactions in Virtual Product Engineering

Author(s):  
Sandro Wartzack ◽  
Tina Schröppel ◽  
Alexander Wolf ◽  
Jörg Miehling

AbstractTo successfully facilitate user-centred design, a multitude of different aspects has to be considered, from purely physiological to psychological-emotional factors. The overall aim is to increase the customer satisfaction by enhancing the fit between products and their users in the respective context of use. Further virtualisation of user-centred design processes holds the potential to convey the concepts of frontloading and predictive engineering from classical product engineering. Our vision is to facilitate a comprehensive consideration of user-product interactions in virtual product engineering operationalised by the mission to develop methods and tools to assess and design user-product interactions according to physiological and psychological aspects. A variety of work has already been done to model musculoskeletal user groups, to configure, predict, simulate and optimise physical user-product interactions, to integrate such models into CAD or to map individual subjective values to product design. Nevertheless, there are still research areas to be addressed to enable a comprehensive implementation of the mentioned approach. These are discussed in the present contribution.

2021 ◽  
Author(s):  
Filippo A. Salustri

Product design engineering is undergoing a transformation from informal and largely experience-based discipline to a science-based domain. Computational intelligence offers models and algorithms that can contribute greatly to design formalization and automation. This paper surveys computational intelligence concepts and approaches applicable to product design engineering. Taxonomy of the surveyed literature is presented according to the generally recognized areas in both product design engineering and computational intelligence. Some research issues that arise from the broad perspective presented in the paper have been signaled but not fully pursued. No survey of such a broad field can be complete, however, the material presented in the paper is a summary of state-of-the-art computational intelligence concepts and approaches in product design engineering. Keywords: Computational intelligence, engineering design, product engineering, decision making, design automation


2017 ◽  
Vol 32 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Petros Chamakiotis ◽  
Niki Panteli

Konstruktion ◽  
2018 ◽  
Vol 70 (05) ◽  
pp. 71-75
Author(s):  
Jonas Neckenich ◽  
Rajeeth Tharma ◽  
Roland Winter ◽  
Michael Vielhaber

Inhalt: Die Fokussierung auf eine 3D-orientierte Produktentwicklung wird immer wichtiger. Im Entwicklungsprozess des Leitungssatzes treffen dabei bauraumorientierte 3D-Entwicklung und produktorientierte 2D-Entwicklung aufeinander. Mit dem Konzept des 3D-Master-Leitungs-satzes werden alle notwendigen Informationen des Kabelbaums direkt im 3D-Modell verfügbar. Neben einem Kurzabriss über die Digitale Entwicklung und die Besonderheiten des Leitungssatzes wird das Konzept des 3D- Master-Leitungssatzes erläutert und sein Nutzen für die Folgeprozesse aufgezeigt.


2008 ◽  
pp. 449-473
Author(s):  
Xuan F. Zha

In this Chapter, a novel integrated intelligent framework is first proposed for virtual engineering design and development based on the soft computing and hybrid intelligent techniques. Then, an evolutionary neuro-fuzzy (EFNN) model is developed and used for supporting modeling, analysis and evaluation, and optimization tasks in the design process, which combines fuzzy logic with neural networks and genetic algorithms. The developed system HIDS-EFNN provides a unified integrated intelligent environment for virtual engineering design and simulation. The focus of this Chapter is to present a hybrid intelligent approach with evolutionary neuro-fuzzy modeling and its applications in virtual product design, customization and simulation (product performance prediction). Case studies are provided to illustrate and verify the proposed model and approach.


Author(s):  
Syed Habeeb ◽  
K. Francis Sudhakar

The purpose of this chapter is to highlight research areas of customer satisfaction and repurchase intentions and their antecedents in the Indian e-commerce industry. To retain, attract, and satisfy customers, e-retailers need to understand how and why online customers evaluate a web store. The relevant areas of consumer behavior and marketing research were derived to explain the possible gaps to study with respect to e-commerce in India. To do so, a systematic review of online consumer behavior literature is conducted. Following inclusion and exclusion criteria, a total of 109 journal articles are analyzed. The major finding of the chapter was that there is very less amount of research considering the areas of customer satisfaction, trust, loyalty along with repurchase behavior of the online customer in specific to the Indian context. Therefore, it is a need of the hour to extend the study to know the repurchase behavior of the online consumer in present time.


Author(s):  
Jörg Miehling ◽  
Jürgen Schuhhardt ◽  
Florian Paulus-Rohmer ◽  
Sandro Wartzack

Computer aided ergonomics and particularly biomechanical simulations hold high potential for the implementation of the virtual product development paradigm in the field of human-centric design. Unfortunately, the relation between efforts to be invested to the insights gained by musculoskeletal simulations is still not sufficient for a widespread industrial application. This contribution shows how parametric biomechanical simulations can be used to gain specific indications on how interaction points of human-centric products are to be designed to meet the competencies of a given target user. This is demonstrated using cycling and rowing as two exemplary activities involving the entire human body. These activities are empirically well studied and electromyographic as well as force measurements are available. The comparison of the biomechanical simulations to the real-world scenario permits the validation of the proposed parametric approach as well as the applied models. This is a prerequisite for its application along the product engineering process.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zhihui Yang ◽  
Yizeng Chen

Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market.


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