A Stochastic Model of the Apparel-retailing Process for Seasonal Apparel

Henry L. W. Nuttle · Russell E. King · N. A. Hunter

41 citations0/0 files storedJournal of the Textile Institute

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Supply Chain and Inventory Management Quality and Supply Management Forecasting Techniques and Applications

Abstract

A computer model is described that simulates the seasonal apparel-retailing process. The model is stochastic in nature and is designed to allow the investigation of the effects of improved retailing procedures on financial and other performance measures. Its principal value lies in the evaluation or Quick Response (QR) supply methodologies that allow frequent re-estimations of consumer demand and reorders of merchandise based on in-season point-of-sale (POS) data at the stock-keeping-unit (SKU) level.

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1970Principles of Operations Research.1977Forecasting and time series analysis

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1995Quick Response Management System for the Apparel Industry: Definition through Technologies 1996Evaluation of Traditional and Quick-response Retailing Procedures by Using a Stochastic Simulation Model 1992An Apparel-supply System for QR Retailing 2018Financial productivity issues of offshore and “Made-in-USA” through reshoring 2009A Simulation-Based Replenishment Model for the Textile Industry 2004Mixed Mass Production and Mass Customization: Best Practices for Apparel

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