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Journal ArticleDOI

How Much Demand Should Be Fulfilled

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TLDR
In this article, the inventory replenishment of a product whose demand can be manipulated by restricting the supply is studied and the optimal policy is characterized as a state-dependent, monotone, base-stock policy.
Abstract
We study the inventory replenishment of a product whose demand can be manipulated by restricting the supply. This research is motivated by a novel marketing tactic employed by manufacturers of fashion and luxury items. Such a tactic combines innovative marketing with deliberate understocking in an attempt to create shortages (i.e., waitlists) that add to the allure and sense of exclusivity of a product and stimulate its demand. We model the problem as a finite-horizon, periodic-review system where demand in each period is a decreasing function of the net ending inventory in the previous period. Although the optimal structure can be complex in general, under certain conditions we are able to characterize the optimal policy as a state-dependent, monotone, base-stock policy. We compare this policy with the optimal policy for the case in which demand is independent of the net inventory. We also show that understocking is optimal in various scenarios. We then propose a novel strategy, called the inventory-withholding strategy, to further explore the wait-list effect by making customers wait even when there is inventory on hand to satisfy them. Our numerical experiments study the impact of various model parameters in combination with the wait-list effect on the optimal policy and the corresponding expected profits.

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Citations
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Journal ArticleDOI

Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand

TL;DR: It is demonstrated that an increase in the operational flexibility e.g., a higher salvage value or the inventory withholding opportunity mitigates the demand loss caused by high excess inventory and increases the optimal order-up-to levels and sales prices.
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Regulating inter-firm agreements: The case of airline codesharing in parallel networks

TL;DR: In this article, the authors compare aviation markets under conditions of competition, codesharing contracts and anti-trust immune alliances, assuming that demand for flights depends on both fares and the level of frequency offered.
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Managing Supply Risk for Vertically Differentiated Co‐Products

TL;DR: In this article, the authors investigate whether and how much downward substitution firms should perform and also investigate how much low end inventory firms should withhold to strategically divert some low-end demand to the high-end product.
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Optimization of variable demand fuzzy economic order quantity inventory models without and with backordering

TL;DR: A variable demand inventory model was developed for minimizing inventory cost, treating the holding and ordering costs and demand as independent fuzzy variables, and was found to be efficient not only in one artificial case study but also in two data sets collected from the industries.
Journal ArticleDOI

Fill rate in a periodic review order-up-to policy under auto-correlated normally distributed, possibly negative, demand

TL;DR: In this paper, the authors present a new fill rate measure for normally distributed, auto-correlated, and possibly negative demand, which reduces to identifying the minimum of correlated normally distributed bivariate random variables.
References
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Stochastic Processes

Journal ArticleDOI

Information distortion in a supply chain: the bullwhip effect

TL;DR: The authors analyzes four sources of the bullwhip effect: demand signal processing, rationing game, order batching, and price variations, and shows that the distortion tends to increase as one moves upstream.
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The Value of Information Sharing in a Two-Level Supply Chain

TL;DR: In this article, a simple two-level supply chain with nonstationary end demands is analyzed and the authors show that the value of demand information sharing can be quite high, especially when demands are significantly correlated over time.
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Lot Sizing with Random Yields: A Review

TL;DR: A review of the existing literature on quantitatively-oriented approaches for determining lot sizes when production or procurement yields are random identifies a variety of shortcomings of the literature in addressing problems encountered in practice, and suggests directions for future research.
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Optimal Inventory Policy.

TL;DR: In this article, the authors outline a method for deriving optimal rules of inventory policy for finished goods, including goods which can be transformed, at a cost, into one or more kinds of finished goods if and when.
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