Joint Pricing and Inventory Control with Substitutable Products PDF Download
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Author: Ahmet Kuyumcu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Ahmet Kuyumcu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Guillermo Gallego
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
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Book Description
A pervasive problem for retailers is to make assortment and inventory procurement decisions of substitutable products with the goal of maximizing expected profits over a pre-defined selling horizon. Multiple inventory replenishments are not allowed. This problem is challenging because of demand substitution effects that are driven initially by the assortment decision and later by stockouts. We propose intuitive and easy-to-implement heuristic based on the sample average approximation method coupled with the Markov chain approximation to discrete choice modelling. We show that our heuristic is asymptotically optimal, and quite effective even in the non-asymptotic regime. Our heuristic exhibits very small optimality gaps and outperform, sometimes dramatically, traditional newsvendor solutions that ignore dynamic substitution effects. Our numerical analysis also reveals that the newsvendor heuristic may perform quite well when the assortment is properly chosen and demand variability is relatively low. These managerial insights help decide when to employ the traditional newsvendor solution. We also look into endogenous pricing and show that even a simple heuristic can significantly enhance profits if prices can be adjusted sufficiently often. Another finding is that price flexibility mitigates the need for safety stocks to the point that not hedging inventories is often better than hedging them.
Author: Yanzhi Li
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 176
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Author: Lisa Gimpl-Heersink
Publisher: Peter Lang Pub Incorporated
ISBN: 9783631589137
Category : Business & Economics
Languages : en
Pages : 124
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In this work, we address the problem of simultaneously determining a pricing and inventory replenishment strategy under reference price effects. This reference price effect models the fact that consumers not only react sensitively to the current price, but also to deviations from a reference price formed on the basis of past purchases. Immediate effects of price reductions on profits have to be weighted against the resulting losses in future periods. By providing an analytical analysis and numerical simulations we study how the additional dynamics of the consumers' willingness to pay affect an optimal pricing and inventory control model and whether a simple policy such as a base-stock-list-price policy holds in such a setting.
Author: Fei Fang
Publisher:
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Category :
Languages : en
Pages :
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Author: Kelly Yunqing Ye
Publisher:
ISBN:
Category :
Languages : en
Pages : 49
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We consider the joint pricing and inventory decision problem for a single retailer who orders, stocks and sells multiple products. The products are competitive in nature, e.g., these maybe similar products from multiple brands. Demand for a product depends on its price as well as the price of all competing products. We show that the optimal pricing and inventory policy is similar to the base-stock, list-price policy which is known to be optimal for the single product case. In addition, the base-stock level of each product is nonincreasing with the inventory level of other products. This structure suggests that one can improve profit by simultaneously managing all the products rather than managing each product independently of other products.
Author: Rui Yin
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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We consider the joint pricing and inventory control problem for a single product with a finite horizon and periodic review. The demand distribution in each period is determined by an exogenous Markov chain. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. The surplus costs as well as fixed and variable costs are state dependent. We show the existence of an optimal (s, S, p)-type feedback policy for the additive demand model. We extend the model to the case of emergency orders and also incorporate capacity and service level constraints. We compute the optimal policy for a class of Markovian demand and illustrate the benefits of dynamic pricing over fixed pricing strategies through numerical examples. The results indicate that it is more beneficial to implement the dynamic pricing strategy in a Markovian demand environment with a high fixed ordering cost or with high demand uncertainty.
Author: Özalp Özer
Publisher: Oxford University Press (UK)
ISBN: 0199543178
Category : Business & Economics
Languages : en
Pages : 977
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Book Description
A definitive reference to the theory and practice of pricing across industries, environments, and methodologies. It covers all major areas of pricing including, pricing fundamentals, pricing tactics, and pricing management.
Author: Jing-Sheng Jeannette Song
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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This paper studies dynamic inventory and pricing decisions for a set of substitutable products over a finite planning horizon with full backlogging. The objective is to maximize the total expected discounted profit. We present a general stochastic, price-dependent demand model that unifies many commonly used demand models in the literature. The original formulation is not jointly concave in the decision variables and is therefore intractable. One key observation is that the problem becomes jointly concave if we work with the inverse of the price vector -- the market share vector. With this variable transformation, we are able to characterize the optimal policy and develop algorithms to compute it. In each period, the optimal policy first identifies a set of the products that are overstocked and hence need no replenishment and then specifies the optimal order-up-to levels for under-stocked products and the optimal market shares (and prices) for all products, both of which are functions of the overstocking levels. We further establish conditions under which the optimal policy demonstrates certain monotonicity property that can greatly enhance computation. Finally, we develop several computationally efficient heuristic policies and numerically compare them and discuss the interplay of pricing and inventory decisions.
Author: Jing-Sheng J. Song
Publisher: Edward Elgar Publishing
ISBN: 180037710X
Category : Technology & Engineering
Languages : en
Pages : 565
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Book Description
This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.
