BIP! Finder - A Framework Based on Predictive Maintenance, Zero-Defect Manufacturing and Scheduling Under Uncertainty Tools, to Optimize Production Capacities of High-End Quality Products

2018 • A Framework Based on Predictive Maintenance, Zero-Defect Manufacturing and Scheduling Under Uncertainty Tools, to Optimize Production Capacities of High-End Quality Products

Authors: Paul-Arthur Dreyfus; Dimitrios Kyritsis

Venue: N/A

Type: Publication

Abstract: Nowadays exploiting the full potential of the humongous amount of data that manufactures can produce with their production means is a real challenge. Moreover, increasing production capabilities without large investments is a recurring objective for them. To reach this objective, many different strategies are in development i.e. zero-defect manufacturing, predictive maintenance and scheduling algorithms which deal with high uncertainty. In the end, they will all be implemented in industry. Their joined implementation in the industry is however ... (read more)

Impact: 1.0277583E-8 3.295751E-9 12 5 / Attention: 0 8

Topics: Industrial engineering Manufacturing engineering Reliability engineering

DOI: 10.1007/978-3-319-99707-0_37

External links: Crossref OpenAIRE

BibTex PDF

Topic-specific impact indicators

Popularity:
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Influence:
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citation Count:
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Impulse:
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.