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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Logistics network is expected that opened facilities work continuously for along time horizon without any failure, but in real world problems, facilitiesmay face disruptions. This paper studies a reliable joint inventory locationproblem to optimize the cost of facility locations, customers assignment, andinventory management decisions when facilities face failure risks and do notwork. In our model we assume when a facility is out of work, its customers maybe reassigned to other operational facilities otherwise they must endure highpenalty costs associated with losing service. For defining the model closer toreal world problems, the model is proposed based on pmedian problem and thefacilities are considered to have limited capacities. We define a new binaryvariable for showing that customers are not assigned to any facilities. Ourproblem involves a biobjective model, the first one minimizes the sum offacility construction costs and expected inventory holding costs, the secondone function that mentions for the first one is minimized maximum expectedcustomer costs under normal and failure scenarios. For solving this model weuse NSGAII and MOSS algorithms have been applied to find the Pareto archivesolution. Also, Response Surface Methodology (RSM) is applied for optimizingthe NSGAII Algorithm Parameters. We compare the performance of two algorithmswith three metrics and the results show NSGAII is more suitable for our model.

A Multi Objective Reliable Location-Inventory Capacitated Disruption  Facility Problem with Penalty Cost Solve with Efficient Meta Historic  Algorithms