Knowledge-Based Open Performance Measurement System (KBO-PMS) for a Garment Product Development Process in Big Data Environment
TypeArticles dans des revues avec comité de lecture
Globally, customers are getting increasingly demanding in terms of personalization of products and are asking for shorter product development periods with more predictable product performance, especially in fashion industry. Current market pressures drive firms to adapt new design process in product development (PD) processes. Nevertheless, choosing the effective PD process is a challenging, complex decision. There is a critical need to develop a performance measurements system (PMS) for choosing appropriate product development (PD) processes in garment design to support product mangers to effectively respond to market. This paper presents a knowledge-based open performance measurement system (KBO-PMS) in big data environment, in order to support complex industrial decision-making for new product development. Its dynamic and flexible structure enables the whole system to be more adapted to knowledge sharing of product managers and processing of various time-varying data. The proposed KBO-PMS is composed of an interactive structure, capable of both integrating new KPIs from the open resource and tracking the evolution of the KBO-PMS components with time. The proposed KBO-PMS has been validated by realizing the performance evaluation of product development (PD) in fashion industry. It can be regarded as an application of open-resource based dynamic group decision-making in fashion big data environment.
Showing items related by title, author, creator and subject.
HONG, Yan; ZENG, Xianyi; WANG, Yuyang; BRUNIAUX, Pascal; CHEN, Yan (Elsevier BV, 2018)In this paper, a case-based color recommendation system (CBCRS) is proposed for online color ranges (CRs) recommendation. This system can help designers and consumers to obtain the most appropriate CR of consumer-products ...
WANG, Yuyang; CHARDONNET, Jean-Rémy; MERIENNE, Frédéric (IEEE, 2018)Autonomous vehicles are expected to start reaching the market within the next years. However in practical applications, navigation inside dynamic environments has to take many factors such as speed control, safety and ...
A Semiautomatic Navigation Interface to Reduce Visually Induced Motion Sickness in Virtual Reality WANG, Yuyang; CHARDONNET, Jean-Rémy; MERIENNE, Frédéric (2018)Navigation in a real environment is a common task that human beings conduct easily and subconsciously. However transposing this task in virtual environments (VEs) remains challenging due to input devices and techniques ...
VR Sickness Prediction for Navigation in Immersive Virtual Environments using a Deep Long Short Term Memory Model WANG, Yuyang; CHARDONNET, Jean-Rémy; MERIENNE, Frédéric (IEEE, 2019)This paper proposes a new objective metric of visually induced motion sickness (VIMS) in the context of navigation in virtual environments (VEs). Similar to motion sickness in physical environments, VIMS can induce many ...
WANG, Yuyang; CHARDONNET, Jean-Rémy; MERIENNE, Frédéric (IEEE, 2019)Travel in a real environment is a common task that human beings conduct easily and subconsciously. However transposing this task in virtual environments (VEs) remains challenging due to input devices and techniques. ...