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

Recent events such as the Heparin tragedy, in which patients lost their livesdue to tainted pharmaceuticals, highlight the necessity for supply chaindesigners and planners to consider the risk of even low probability disruptionsin supply chains. One of the most effective ways to hedge against supply chainnetwork disruptions is to robustly design the supply chain network. Thisinvolves both strategic decisions (e.g., which suppliers to source from, plantlocations, etc.) and tactical decisions (e.g., capacity allocation, etc.).Since disruptions are modeled as events which occur randomly and may have arandom length, we consider a mixed-integer stochastic model. However, suchnetwork design problems belong to the class of NP-hard problems. Accordingly,we develop efficient heuristic algorithms and a metaheuristic approach toobtain acceptable solutions to these types of problems in reasonable runtimesso that the process of decision making becomes facilitated with no drasticsacrifices in solution quality.

Supply Chain Network Design Heuristics for Capacitated Facilities under Risk of Supply Disruptions