English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

This research aims to develop a novel planning tool able to increase both the energy efficiency and general performance of production systems using a hybrid-simulation based, multi-criteria optimization, with this particular paper focusing on the optimization method. Lacking necessary planning tools for an energy aware production planning and control, companies are unable harness the associated optimization potential. State-of-the-art tools are not able to sufficiently consider interactions between the discrete system behavior of material flow and the continuous thermal-physical behavior of equipment. This paper presents a planning method addressing this deficiency. The developed genetic-algorithm based optimization module optimally fits the requirements

Increasing Energy Efficiency in Production Environments Through an Optimized, Hybrid Simulation-based Planning of Production and Its Periphery