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 today’s global marketplace, individual firms do not compete as independent entities rather as an integral part of a supply chain. Therefore, coordination and integration of key business activities undertaken by an enterprise, is of greatest value. For succeed in this competitive world, organizations must focus on their excellence position from EFQM perspective. This paper proposes a fuzzy mathematical programming model for supply chain planning which considers excellence score, geographical score and capacity of each supplier and manufacturer and distributor. The model has been formulated as a fuzzy mixed-integer linear programming model where some data are fuzzy and modeled by triangular fuzzy numbers. This paper has been done in Sazeh Gostar Saipa Company in Iran. This company supplies required automobile parts for SAIPA manufacturing group. Results show that this model can be applied for designing excellent supply chain network and has significant managerial implications

Designing Excellent Supply Chain Network in Uncertainty Environment with Fuzzy Logic