Price discount and capacity planning under demand postponement with opaque selling

被引:29
|
作者
Wu, Zhengping [1 ]
Wu, Jianghua [2 ]
机构
[1] Syracuse Univ, Whitman Sch Management, Syracuse, NY 13244 USA
[2] Renmin Univ China, Sch Business, Beijing 100872, Peoples R China
关键词
Demand management; Early order discounts; Newsvendor model; Opaque selling; CUSTOMER BEHAVIOR; PROGRAMS; PRODUCTS; MODEL;
D O I
10.1016/j.dss.2015.02.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we consider the opaque selling strategy of a firm that uses a price discount to induce demand postponement. Under demand postponement, the firm offers a price discount to advance customers in exchange for the option to fulfill their orders after the spot demand has been satisfied. Advance customers who take the discount commit their orders early, but the actual delivery time is chosen by the firm. In effect, the price discount enables the firm to create a capacity buffer for the spot demand. We formulate a two-stage stochastic program, and characterize the firm's optimal capacity and price discount decisions to maximize its expected profit. We find that the driver of demand postponement is that the option to postpone allows the firm to not only use less safety stock to hedge against the risk in the spot demand, but also reduce capacity waste. In addition, the firm might gain from the potentially lower capacity cost for postponed demand. In the event that the advance demand information can be utilized to update the regular demand distribution, the firm can garner additional benefits from information updating through the early orders. Through numerical experiments, we demonstrate the significance of the value of demand postponement and information updating, and assess the impact of market conditions on the firm's optimal capacity and price discount decisions. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:24 / 34
页数:11
相关论文
共 50 条
  • [1] Discount-based Pricing and Capacity Planning for EV Charging under Stochastic Demand
    Pandit, Parthe
    Coogan, Samuel
    [J]. 2018 ANNUAL AMERICAN CONTROL CONFERENCE (ACC), 2018, : 6273 - 6278
  • [2] Price Postponement in a Decentralized Newsvendor Model under Uncertain Supply and Demand
    Zhang, Xiao-qin
    Xu, Yan-yi
    [J]. 2016 INTERNATIONAL ACADEMIC CONFERENCE ON HUMAN SOCIETY AND CULTURE (HSC 2016), 2016, : 168 - 175
  • [3] A numerical strategy for telecommunications networks capacity planning under demand and price uncertainty
    Arregui, Inigo
    Salvador, Beatriz
    Vazquez, Carlos
    [J]. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2017, 318 : 491 - 503
  • [4] Pricing and Capacity Allocation in Opaque Selling
    Zhang, Zihao
    Zhang, Mengying
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2024, 318 (01) : 230 - 241
  • [5] Managerial flexibility strategies under supply and demand risks: quantity postponement vs. price postponement
    Dong, Binwei
    Tang, Wansheng
    Zhou, Chi
    [J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10 (07) : 1747 - 1763
  • [6] Managerial flexibility strategies under supply and demand risks: quantity postponement vs. price postponement
    Binwei Dong
    Wansheng Tang
    Chi Zhou
    [J]. International Journal of Machine Learning and Cybernetics, 2019, 10 : 1747 - 1763
  • [7] List Price and Discount in a Stochastic Selling Process
    Ning, Z. Eddie
    [J]. MARKETING SCIENCE, 2021, 40 (02) : 366 - 387
  • [8] Capacity Investment Under Postponement Strategies, Market Competition, and Demand Uncertainty
    Anupindi, Ravi
    Jiang, Li
    [J]. MANAGEMENT SCIENCE, 2008, 54 (11) : 1876 - 1890
  • [9] Channel coordination with price discount mechanism under price-sensitive market demand
    Sarkar, Sumon
    Tiwari, Sunil
    Wee, Hui-Ming
    Giri, B. C.
    [J]. INTERNATIONAL TRANSACTIONS IN OPERATIONAL RESEARCH, 2020, 27 (05) : 2509 - 2533
  • [10] Price Discount Contract of Supply Chain Coordination under Demand Uncertainty
    Du Wenyi
    Tang Xiaowo
    Ai Xingzheng
    [J]. 2015 34TH CHINESE CONTROL CONFERENCE (CCC), 2015, : 8719 - 8722