Quality function deployment: A literature review

LK Chan, ML Wu - European journal of operational research, 2002 - Elsevier
This paper presents a literature review of quality function deployment (QFD) based on a
reference bank of about 650 QFD publications established through searching various …

A comprehensive survey and future trend of simulation study on FMS scheduling

FTS Chan, HK Chan - Journal of Intelligent Manufacturing, 2004 - Springer
Since the late 1970s when the first collection of papers on scheduling of flexible
manufacturing systems (FMSs) has been published, it has been one of the most popular …

Technology and entrepreneurial marketing decisions during COVID-19

MRH Polas, V Raju - Global Journal of Flexible Systems Management, 2021 - Springer
The prime concern of this study is to explore how technology influences entrepreneurial
marketing decisions during the world pandemic (COVID-19). The study uses a sample of …

Human versus artificial intelligence: A data-driven approach to real-time process management during complex engineering design

JT Gyory, NF Soria Zurita… - Journal of …, 2022 - asmedigitalcollection.asme.org
Managing the design process of teams has been shown to considerably improve problem-
solving behaviors and resulting final outcomes. Automating this activity presents significant …

Soft computing in engineering design–A review

KM Saridakis, AJ Dentsoras - Advanced Engineering Informatics, 2008 - Elsevier
The present paper surveys the application of soft computing (SC) techniques in engineering
design. Within this context, fuzzy logic (FL), genetic algorithms (GA) and artificial neural …

Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm

L He, M de Weerdt, N Yorke-Smith - Journal of Intelligent Manufacturing, 2020 - Springer
In intelligent manufacturing, it is important to schedule orders from customers efficiently.
Make-to-order companies may have to reject or postpone orders when the production …

Focus and modality: defining a roadmap to future AI-human teaming in design

C McComb, P Boatwright, J Cagan - Proceedings of the Design …, 2023 - cambridge.org
The evolution of Artificial Intelligence (AI) and Machine Learning (ML) enables new ways to
envision how computer tools will aid, work with, and even guide human teams. This paper …

When faced with increasing complexity: the effectiveness of artificial intelligence assistance for drone design

B Song, NF Soria Zurita, H Nolte… - Journal of …, 2022 - asmedigitalcollection.asme.org
As artificial intelligence (AI) assistance tools become more ubiquitous in engineering design,
it becomes increasingly necessary to understand the influence of AI assistance on the …

Success factors impacting artificial intelligence adoption: Perspective from the Telecom Industry in China

H Chen - 2019 - search.proquest.com
As the core driving force of the new round of informatization development and the industrial
revolution, the disruptive achievements of artificial intelligence (AI) are rapidly and …

The intensification of innovation

M Dodgson, DM Gann, AJ Salter - International Journal of Innovation …, 2002 - World Scientific
This paper suggests that the innovation process has intensified as a result of the application
of new digital technologies. These technologies that simulate, model and integrate, intensify …