Optimal Pricing and Inventory Control Policy with Quantity-Based Price Differentiation

被引:20
作者
Lu, Ye [1 ]
Chen, Youhua [1 ]
Song, Miao [2 ]
Yan, Xiaoming [3 ]
机构
[1] City Univ Hong Kong, Dept Management Sci, Coll Business, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Dept Ind & Mfg Syst Engn, Hong Kong, Hong Kong, Peoples R China
[3] Dongguan Univ Technol, Sch Comp Sci, Dongguan 523808, Guangdong, Peoples R China
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
FIXED ORDERING COST; DEMAND UNCERTAINTY; DISCOUNTS; MODEL; STRATEGIES; PROFITS;
D O I
10.1287/opre.2013.1240
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A firm facing price dependent stochastic demand aims to maximize its total expected profit over a planning horizon. In addition to the regular unit selling price, the firm can utilize quantity discounts to increase sales. We refer to this dual-pricing strategy as quantity-based price differentiation. At the beginning of each period, the firm needs to make three decisions: replenish the inventory, set the unit selling price if the unit sales mode is deployed, and set the quantity-discount price if the quantity-sales mode is deployed (or the combination of the two modes of sales). We identify conditions under which the optimal inventory control policy and selling/pricing strategy is well structured. Remarkably, under a utility-based demand framework, these conditions can be unified by a simple regularity assumption that has long been used in the auction and mechanism design literature. Moreover, sharper structural results are yielded for the optimal selling strategy. We also examine the comparative advantage of quantity-based price differentiation with respect to model parameters. Our numerical study shows that substantial profit improvement can be gained as a result of shifting from uniform pricing to quantity-based pricing, especially when the product has a low unit ordering cost and high utility.
引用
收藏
页码:512 / 523
页数:12
相关论文
共 32 条
[1]   Quantity discounts under demand uncertainty [J].
Altintas, Nihat ;
Erhun, Feryal ;
Tayur, Sridhar .
MANAGEMENT SCIENCE, 2008, 54 (04) :777-792
[2]  
Bitran G., 2003, Manufacturing & Service Operations Management, V5, P203, DOI 10.1287/msom.5.3.203.16031
[3]   Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The finite horizon case [J].
Chen, X ;
Simchi-Levi, D .
OPERATIONS RESEARCH, 2004, 52 (06) :887-896
[4]   Coordinating inventory control and pricing strategies with random demand and fixed ordering cost: The infinite horizon case [J].
Chen, X ;
Simchi-Levi, D .
MATHEMATICS OF OPERATIONS RESEARCH, 2004, 29 (03) :698-723
[5]  
DOLAN RJ, 1987, MARKET SCI, V6, P1, DOI 10.1287/mksc.6.1.1
[6]   Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions [J].
Elmaghraby, W ;
Keskinocak, P .
MANAGEMENT SCIENCE, 2003, 49 (10) :1287-1309
[7]   Combined pricing and inventory control under uncertainty [J].
Federgruen, A ;
Heching, A .
OPERATIONS RESEARCH, 1999, 47 (03) :454-475
[8]   Dynamic Inventory-Pricing Control Under Backorder: Demand Estimation and Policy Optimization [J].
Feng, Qi ;
Luo, Sirong ;
Zhang, Dan .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2014, 16 (01) :149-160
[9]  
HEYMAN DP, 1984, STOCHASTIC MODELS OP, V2
[10]   (s, S) optimality in joint inventory-pricing control:: An alternate approach [J].
Huh, Woonghee Tim ;
Janakiraman, Ganesh .
OPERATIONS RESEARCH, 2008, 56 (03) :783-790