Foundations of Inventory Management

By Paul H. Zipkin. 2000

1,762 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/80499eeb5964cab44f04d33f5f441d8547ad6d5c

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Citations in the corpus

Optimal Management and Sizing of Energy Storage Under Dynamic Pricing for the Efficient Integration of Renewable Energy (2015, background): “Then the storage level state update equation under this policy is (25) and Let be the optimal one period cost for a storage of size .”
Information sharing and coordination in make-to-order supply chains (2005, background): “The timing and quantity of replenishments in periods t = 1, 2, . . ., n are frozen, while orders in time periods t = n + 1, n + 2, . . ., T are considered slushy with the replenishment periods frozen in time but quantities permitted to vary in the next planning iteration (Zipkin, 2000).”
Bias and Variance Approximation in Value Function Estimates (2007, background): “The application areas are vast, and include finance (Luenberger 1997, Campbell and Viceira 2002), economics (Dixit and Pindyck 1994), inventory control and supply chain management (Zipkin 2000), revenue and yield management (McGill and van Ryzin 1999), transportation (Godfrey and Powell 2002), commu”
A Joint Location - Inventory Model (2003, background): “Therefore, less total safety stock is required than in the case in which every retailer maintains its own safety stock.”
An Inventory-Location Model: Formulation, Solution Algorithm and Computational Results (2002, background): “Zheng [ 38 ] showed that the maximum relative error introduced by using the EOQ quantity instead of the optimal (Q, r) quantity is 0.125.”
Customer‐Base Concentration and Inventory Efficiencies: Evidence from the Manufacturing Sector (2016, background): “In turn, enhanced demand forecasting leads to a reduction of inventory investment because the optimal buffer size of the safety stock is an increasing function of demand uncertainty (e.g., Porteus 2002, Zipkin 2000).”
Biases and Variance in Value Function Estimates (2004, background): “…include finance (Luenberger, 1997; Campbell and Viceira, 2002), economics (Dixit and Pindyck, 1994), inventory control and supply chain management (Zipkin, 2000), revenue and yield management (McGill and van Ryzin, 1999), transportation (Godfrey and Powell, 2002), communications, water resource…”
Dynamic pricing in the presence of inventory considerations: research overview, current practices, and future directions (2003, background): “The rich literature on inventory management [39] [77] [85] typically assumes that the price for a product is a static single price and is exogenous to the inventory management problem.”
Information Sharing to Improve Retail Product Freshness of Perishables (2006, background): “non-perishable product. If no outdating occurs, the infinite horizon recursion (see Zipkin, 2000”
A Robust Optimization Approach to Inventory Theory (2006, methodology): “Zipkin (2000) describes policies widely used in practice , such as the economic-order-quantity model, where the demand is constant over time, and the dynamic-economiclotsize model, which incorporates time-varying demands, for single installations.”
Strategic Information Management Under Leakage in a Supply Chain (2009, background): “Our understanding of the notion of ‘strategy’ in operations management is largely derived from an academic literature that spotlights inventory and material flow optimization (cf Zipkin 2000) and mechanisms to coordinate the supply chain under conflicting incentives (Cachon 2003).”
Coordinating orders in supply chains through price discounts (2002, background): “We assume that retailers’ order cycles be no longer than To and that each retailer orders an integer number of orders during the manufacturer’s order cycle that results in the well known nested policies (Roundy, 1985; Zipkin, 2000).”
SUPPLY CHAIN MANAGEMENT COORDINATION MECHANISMS (2006, methodology): “Pitfalls associated with optimizing the individual system components while neglecting the whole are well documented in the literature.”
A nonlinear continuous time optimal control model of dynamic pricing and inventory control with no backorders (2007, background): “Furthermore, Zipkin [56] and the references therein provide a thorough review of recent advances in inventory control theory and its relation to supply chain.”