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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

A generalized queueing model simulates a closed-loop supply chain that includes manufacturing, evaluation by consumers, return, refurbishment and resale. We examine the optimal supply curves for refurbished products resold back to consumers along with the corresponding total profit with respect to four attributes: 1) variability of manufacturing and refurbishing times, 2) the number of times a product may be refurbished and resold, 3) product return probabilities, and 4) prioritizing returns for refurbishment by quality grade. The optimal supply curves for refurbished products and the total profit are parameterized by consumer willingness to pay for refurbished products. Variability in manufacturing times encourages expanded supply of refurbished products, while variability in refurbishing times has the opposite effect. In some cases, it is optimal to allow refurbishing at most once. The proportion of previously refurbished products that are returned (i.e., accepted) again has a pronounced negative impact on profit and causes an optimally smaller number of refurbished products to be offered at a higher price. Savings from prioritizing returns for refurbishment are significant when it is optimal to refurbish only a portion of returns.

A general queuing network model to optimize refurbishing policies for returned products