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/

Global: Zendy Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Manufacturing companies typically use sophisticated production planningsystems optimizing production steps, often delivering near-optimal solutions.As a downside for delivering a near-optimal schedule, planning systems havehigh computational demands resulting in hours of computation. Under normalcircumstances this is not issue if there is enough buffer time beforeimplementation of the schedule (e.g. at night for the next day). However, incase of unexpected disruptions such as delayed part deliveries or defectivelymanufactured goods, the planned schedule may become invalid and swiftreplanning becomes necessary. Such immediate replanning is unsuited forexisting optimal planners due to the computational requirements. This paperproposes a novel solution that can effectively and efficiently performreplanning in case of different types of disruptions using an existing plan.The approach is based on the idea to adhere to the existing schedule as much aspossible, adapting it based on limited local changes. For that purpose anagent-based scheduling mechanism has been devised, in which agents representmaterials and production sites and use local optimization techniques andnegotiations to generate an adapted (sufficient, but non-optimal) schedule. Theapproach has been evaluated using real production data from Huawei, showingthat efficient schedules are produced in short time. The system has beenimplemented as proof of concept and is currently reimplemented and transferredto a production system based on the Jadex agent platform.

A Novel Multi-Agent Scheduling Mechanism for Adaptation of Production Plans in Case of Supply Chain Disruptions