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

In a real business environment, the stochastic joint replenishment with resource restrictions commonly adopts the wholesale sales mechanism. The mechanism causes conflicts of interest between the supplier and the service provider. In order to effectively compete in an uncertain business environment, the option contract is a viable mechanism for coordination between the supplier and the service provider. This paper proposes a fixed-cycle joint replenishment policy based on the option contracts. Stochastic joint replenishment problem of spare parts considers the forward supply process and the reverse recycling process in the remanufacturing supply chain. The optimization model of stochastic joint replenishment problem is developed with a fixed-cycle joint replenishment policy based on the option contracts. According to characteristics of the optimization model, the adaptive immune genetic algorithm is established for solving the optimization problem. Finally, the validity of the optimization model and algorithm are illustrated by data. (Received, processed and accepted by the Chinese Representative Office.)

Constrained Stochastic Joint Replenishment Problem with Option Contracts in Spare Parts Remanufacturing Supply Chain