This thesis presents a project developed at Staff International S.p.A., a service company in the luxury fashion industry, aimed at improving the efficiency and responsiveness of the supply chain by anticipating product deliveries and enhancing coordination among all actors, from clients to suppliers. The project originated in 2024 as a response to major delivery delays and was later structured in 2025 under top management’s direction. It introduced organizational good practices and structured collaboration routines to strengthen information sharing, enable faster communication, and support early identification of potential issues. The thesis situates this initiative within the broader context of supply chain management in the luxury fashion sector, illustrating how structured collaboration and information sharing can enhance the ability of a supply chain to respond effectively to changes and challenges.

This thesis presents a project developed at Staff International S.p.A., a service company in the luxury fashion industry, aimed at improving the efficiency and responsiveness of the supply chain by anticipating product deliveries and enhancing coordination among all actors, from clients to suppliers. The project originated in 2024 as a response to major delivery delays and was later structured in 2025 under top management’s direction. It introduced organizational good practices and structured collaboration routines to strengthen information sharing, enable faster communication, and support early identification of potential issues. The thesis situates this initiative within the broader context of supply chain management in the luxury fashion sector, illustrating how structured collaboration and information sharing can enhance the ability of a supply chain to respond effectively to changes and challenges.

Implementing Good Practices for Supply Chain Alignment and Lead Time Reduction: A Case Study at Staff International S.p.A.

ZANDARIN, ANNA
2024/2025

Abstract

This thesis presents a project developed at Staff International S.p.A., a service company in the luxury fashion industry, aimed at improving the efficiency and responsiveness of the supply chain by anticipating product deliveries and enhancing coordination among all actors, from clients to suppliers. The project originated in 2024 as a response to major delivery delays and was later structured in 2025 under top management’s direction. It introduced organizational good practices and structured collaboration routines to strengthen information sharing, enable faster communication, and support early identification of potential issues. The thesis situates this initiative within the broader context of supply chain management in the luxury fashion sector, illustrating how structured collaboration and information sharing can enhance the ability of a supply chain to respond effectively to changes and challenges.
2024
Implementing Good Practices for Supply Chain Alignment and Lead Time Reduction: A Case Study at Staff International S.p.A.
This thesis presents a project developed at Staff International S.p.A., a service company in the luxury fashion industry, aimed at improving the efficiency and responsiveness of the supply chain by anticipating product deliveries and enhancing coordination among all actors, from clients to suppliers. The project originated in 2024 as a response to major delivery delays and was later structured in 2025 under top management’s direction. It introduced organizational good practices and structured collaboration routines to strengthen information sharing, enable faster communication, and support early identification of potential issues. The thesis situates this initiative within the broader context of supply chain management in the luxury fashion sector, illustrating how structured collaboration and information sharing can enhance the ability of a supply chain to respond effectively to changes and challenges.
BPI
Luxury Industry
Supply Chain
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12608/101700