On the comparison of inventory replenishment policies with time-varying stochastic demand for the paper industry

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• 作者：David Escuí ; n ; ^{descuin@itainnova.es" class="auth_mail" title="E-mail the corresponding author} ; Lorena Polo ^{lpolo@itainnova.es" class="auth_mail" title="E-mail the corresponding author} ; David Cipré ; s ^{dcipres@itainnova.es" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Lot-sizing problem ; Vendor Managed Inventory ; Simulation ; Optimization ; Paper industry
• 刊名：Journal of Computational and Applied Mathematics
• 出版年：2017
• 出版时间：1 January 2017
• 年：2017
• 卷：309
• 期：Complete
• 页码：424-434
• 全文大小：1265 K

文摘

The aim of this paper is the development of a mathematical model to compute the optimal inventory mix to face stochastic demand at minimum cost in a two-level supply chain. The paper addresses a multi-product dynamic lot-sizing problem under stochastic demand subject to capacity and service level constraints. This model is executed to compare a Make To Order (MTO) strategy to a Vendor Managed Inventory (VMI) partnership between the supplier and their customers. Both strategies provide the demand order to be produced. A schedule of production orders is determined over the planning horizon in order to minimize the inventory holding costs of the supply chain, taking into consideration that the supplier is also responsible of initiating the replenishment orders and deliveries of their customers according to the VMI partnership. The simulation model is illustrated empirically using a real case study: a paper manufacturing company that pursues to improve customer service level and supply chain inventory costs through a proper production planning of their paper machines and a suitable VMI order replenishment schedule.