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Growing Science » Authors » Stefano Riemma

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1.

Fashion retailing: A framework for supply chain optimization Pages 243-272 Right click to download the paper Download PDF

Authors: Giada Martino, Raffaele Iannnone, Marcello Fera, Salvatore Miranda, Stefano Riemma

doi 10.5267/j.uscm.2016.12.002 Crossmark

🔑 Keywords: Supply chain management, Fashion and apparel industry, Retailing, Framework, SCOR model, Key performance indicator, Simulation

Abstract:
Fashion and Apparel Supply Chains work in a very fast-changing environment and always demand better quality, higher availability of products, broader assortments and shorter delivery times. An efficient Supply Chain Management can make a difference between success and failure in the market. In this context, the main purposes of the presented work are: (i) to define the physical and informative flows, together with connected cost and revenue items, which characterize a Fashion Supply Chain working with a wide network of direct-operated or franchising mono-brand stores and (ii) to optimize Supply Chain performances through a responsive approach which, during the sales season, analyses actual market demand and adjusts operations plans accordingly. The framework aims at becoming a decision support system for the optimization of the performances of a process that starts from the development of the collection by the Styling Office and ends with the withdrawal of unsold items from the stores. In order to analyze the performances under different scenarios, a set of Key Performance indicators, partially selected from the SCOR Model, is defined.
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Journal: USCM | Year: 2017 | Volume: 5 | Issue: 3 | Views: 5499

 

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