Joint Pricing and Inventory Control for Perishable Products PDF Download
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Author: Yanzhi Li
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 176
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Book Description
Author: Yanzhi Li
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 176
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Author: Ahmet Kuyumcu
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Li-Ming Chen
Publisher:
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Category :
Languages : en
Pages :
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ABSTRACT: A perishable item is characterized by its usefulness over a limited period of time, known as \life." Once the \life" is over, these items spoil, which obviously is a loss. The bottom line of a firm can improve significantly if some of this spoilage is prevented, i.e., if the perishable nature of products is managed properly. One mechanism by which this may be achieved is demand management using price. Through an appropriate selection of price, demand can be modulated to improve profit. The modulation of demand can not only increase revenue but also reduce shortage, holding, and spoilage costs. Potential spoilage due to limited life-time of the perishable products is the main reason demand management of perishable products is even more important than for non-perishable products. Whereas for non-perishable products the only cost of unsold inventory is the cost for holding inventory, for perishable products the unsold inventory not only incurs inventory holding cost but, in addition, with increasing age of the inventory the risk of it remaining unsold by the end of its lifetime increases. Therefore, this dissertation explores joint demand and replenishment decisions on the inventory control of perishable items with random demand. The first part of the dissertation is primarily motivated by a dilemma routinely faced by food retailers: when to replace old inventory of perishable products with fresh units when economies of scale exist in order placement. On one hand, economies of scale make it more attractive to place orders for large quantities. On the other hand, the demand for perishable products declines as their age approaches their lifetime; the reduction occurs since customers prefer fresh units and/or avoid units that are close to expiry.
Author: Fei Fang
Publisher:
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Category :
Languages : en
Pages :
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Author: Halit Bayer
Publisher:
ISBN:
Category : Inventory control
Languages : en
Pages : 162
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Author:
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Category :
Languages : en
Pages :
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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.
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: Hawking Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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In this article, we investigate a joint pricing and inventory problem for a retailer selling fresh-agri products (FAPs) with two-period shelf lifetime in a dynamic stochastic setting, where new and old FAPs are on sale simultaneously. At the beginning of each period, the retailer makes ordering decision for new FAP and sets regular and discount prices for new and old inventories, respectively. After demand realisation, the expired leftover is disposed and unexpired inventory is carried to the next period, for continuing selling. Unmet demand of all FAPs is backordered. The objective is to maximise the total expected discount profit over the whole planning horizon. We present a price dependent, stochastic dynamic programming model taking into account zero lead-time, linear ordering costs, inventory holding and backlogging costs, as well as disposal cost. As the influence of the perishability, each customer selects his preferred choice based on the utility of product price and quality. By the way of constructing demand rate vector, the original formulation can be transferred to be jointly concave and tractable. Finally, we characterise the optimal policy and develop effective methods to solve the problem. We also conduct numerical studies to further characterise the optimal policy, and to evaluate the loss of efficiency under static policies when compared to the optimal dynamic policy.
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.
