Polymer Sciences Open Access

  • ISSN: 2471-9935
  • Journal h-index: 9
  • Journal CiteScore: 3.80
  • Journal Impact Factor: 4.55
  • Average acceptance to publication time (5-7 days)
  • Average article processing time (30-45 days) Less than 5 volumes 30 days
    8 - 9 volumes 40 days
    10 and more volumes 45 days
Reach us +32 25889658

Leveraging the power of manufacturing data to perfect your production process

3rd International Conference on Polymer Science and Engineering
October 02-03, 2017 Chicago, USA

Willem Sundblad

Oden Technologies, USA

Posters & Accepted Abstracts: Polym Sci

Abstract:

Every plastics manufacturer dreams about having perfect transparency into their processes to continuously improve production efficiency and quality. Using data is the key to optimizing recipes, quality, and capacity to ensure factories stay competitive. The problem is that data tends to live and die in the equipment, without being recorded or utilized anywhere. Acquisition requires months of hard-wiring your factory into PCs on top of burdensome installation costs. The resulting data is raw, inconsistent, and hard to translate into insights. The latest technological advancements we take for granted in the rest of our lives ��?rising processing power, deceasing computing cost, abundant wireless connectivity, and limitless cloud storage��?is finally available to make your existing machines truly digital. Now you can collect and analyze data from all your existing machines and sensors simply by attaching small transmitters to serial ports. Monitor all the metrics you value, together, in real time. Increase the efficiency and value of your existing extrusion lines. No lengthy IT projects, hardwired networks, or new equipment required. Willem Sundblad will give an update on the current Industry 4.0 landscape, where the market is heading, and what concrete solutions looks like for plastics manufacturers in addition to giving a demo of how machine learning algorithms can and are being used throughout the industry.