Data Visualisation, Productivity and Decision Making in the Manufacturing Sector DVPD 2018

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活动简介

Manufacturers have a complex value chain, from the raw material itself and how to manage any supply constraints through to the complex production processes themselves. And whilst the product itself is usually core to a manufacturing business and remains the focus of any data being collated, the use of data and analytics throughout the value chain can lead to significant benefits in terms of cost reduction, machine usage and maintenance, scheduling and logistics, even sales forecasting.

As these production systems becoming increasingly intelligently automated through the drive for digitalisation, it is also important to remember that human skills will continue to remain essential for many tasks, making the marriage between humans and machines critical to success.

Data visualisation for effective decision-making becomes an essential element of the digitised manufacturing shop floor, as it will enable humans to work better and more effectively alongside the production process leading to the generation of efficiencies, the broadening of the scope of what the machinery can actually achieve and ultimately a boost in productivity by motivating workers through salient, useful and credible evidence based information.

This workshop seeks to explore some of these challenges with industry presentations as well as presentations from the academic community and a panel session followed by lunch and poster/demo presentations.

组委会

Ann Swift
Shuai Li
Professor Djamila Ouelhadj

征稿信息

重要日期

2018-05-30

摘要截稿日期

2018-05-30

初稿截稿日期

List of Topics

human-robot interaction
harmonisation of operator & machine interaction and proximity
the monetisation of manufacturing data
effective decision-making through visualisation
self-service analytics for 360 degrees insight
mobile and remote manufacturing through visualisation
virtual and augmented reality for/on the shop floor
visualising qualitative data
importance of aural data and visualisation
the challenges of real time big data for visualisation
storytelling and data visualisations

作者指南

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. The following submission options are available:

1. Paper Presentations

2. Posters

3. Demos

1. Individual Presentations: Paper Presentations

Paper presentations provide authors the opportunity to present original work related to the workshop themes. Oral paper presentations will have 15-minute time slots and there will be a maximum of 5 individual presentations with time for questions from the audience. Your submitted 50-word abstract will be shared with delegates.

2. Individual Presentations: Poster Presentations

Our 90-minute poster session after lunch will provide an interactive forum for authors to discuss their work with all participants in a less formal setting.

3. Group Presentations: Demos

Demonstrations of applications, systems and tools with potential or realised impact in particular domains are therefore highly encouraged. They will be exhibited in the same area as the posters and are ideal to showcase work-in-progress projects in a visible and interactive format.

Please note:

Presenting authors are responsible for registration, travel, and hotel costs.
Abstracts will be compiled and made available to participants.
Any presenter who is unable to attend should arrange for another qualified individual to present the paper/poster in question. If such a change is necessary, please notify our conference team.
Posters must be brought on the day of the event by 12 midday. They will displayed during lunch and made available in the afternoon poster session. Posters not removed at the end of the session will be destroyed.
For Demos, please ensure you bring all your own equipment and advise us of a power supply required if necessary. Please also consider the volume of the demo to ensure that it will not disturb other demos or interfere detrimentally with the poster session.