scholarly journals Optimal pricing policies for perishable products

2005 ◽  
Vol 166 (1) ◽  
pp. 246-254 ◽  
Author(s):  
Miguel F. Anjos ◽  
Russell C.H. Cheng ◽  
Christine S.M. Currie
2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Hao Li ◽  
Xi Yang ◽  
Yu Tu ◽  
Ting Peng

This paper introduces a two-period, pricing policy under duopoly competition between two firms offering an identical product to consumers who are intertemporal utility maximization. Firms have equal inventories of faultlessly replaceable and perishable products. The firms adjust prices to maximize profits and determine optimal pricing policies, choosing from dynamic pricing, fixed-ratio pricing, and elastic pricing policies. According to a duopoly competition model, the consumer is limited to a single firm visit per period. The consumer decides to purchase the product at current price from a firm and remain in the market to purchase product from the other firm in the next period or exit the market. The results offer three main conclusions. First, elastic pricing is consistent with dynamic pricing. Second, the more consumers visit the firm in the first period, the more profits the firm will make. Third, we explore the effectiveness of different pricing policies. The results show that although dynamic pricing is a more complex policy than fixed-ratio pricing, it may lead to decreased equilibrium profits when the firms sharply discounts prices and consumer rationality is unlimited.


2007 ◽  
Vol 97 (5) ◽  
pp. 1970-1977 ◽  
Author(s):  
Steven A Morrison ◽  
Clifford Winston

We study alternate approaches to implement congestion pricing at US airports. Conventional formulations toll all aircraft without determining whether a plane operated by a given airline delays other planes that it operates or planes operated by other airlines. Recent work points out optimal pricing calls for carriers to be charged only for the delay they impose on other airlines. We find a small difference between the net benefits generated by the two congestion-pricing policies because the bulk of airport delays are not internalized and because the efficiency loss from pricing internalized congestion is small. (JEL L11, L93, R41)


2019 ◽  
Vol 11 (2) ◽  
pp. 15
Author(s):  
Tchai Tavor ◽  
Limor Dina Gonen ◽  
Uriel Spiegel

Fluctuations in demand require diverse considerations with respect to planned capacity. At peak periods, decreased capacity may result in supply shortages and   thus in lower revenues and unachievable profits.  In contrast, smaller capacity at off-peak periods reduces the substantial costs of large and unutilized capacity.   The questions to be addressed ask (i) what the optimal pricing policies are at peak and off-peak periods; (ii) what the optimal capacity is for profit maximization of the supplier; and furthermore (iii) how the shifting of demands from peak to off-peak periods may reduce fluctuation and impact profits. The present paper develops a model that compares two cases. In Case 1 it is not possible to transfer partial demand from a peak period to an off-peak period, while in Case 2 it is possible to do so. The comparison between the cases illustrates various results, some of which are less intuitive than others. For instance, a larger gap between the peak and off-peak periods leads to a larger optimal capacity in Case 1 than in Case 2. However, a smaller gap presents a different picture. When there is less willingness to switch demand between the periods, the capacity of Case 2 is larger than that of Case 1. 


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