Affiliation:
1. Industrial Engineering Department, University of Miami, Coral Gables, FL, USA
Abstract
This paper studies optimal pricing and demand management policies for a firm that faces two streams of order types: one is composed of recurring regular jobs with pre-determined prices (exogenous prices) and the other involves big deals that require pricing proposals (endogenous prices). The probability to secure the big deals diminishes with the quoted price. The authors develop and compare optimization models for different demand management settings. Specifically, we consider two distinct strategies: a pure strategy in which the firm commits to bid for deals only and a mixed strategy where the firm switches its allocation of capacity between regular jobs and deals. The authors compare optimal pricing strategies under two demand management strategies that differ in how they allocate capacity across regular jobs and deals, and order acceptance policies that they adopt. The authors observe that the differences between two strategies in terms of pricing and average gain are in accord. Under any given set of systems parameters, one of the strategies leads to both higher prices and average gains. Typically, the preferable strategy depends on the exogenous price of regular orders and the price sensitivity of the deals. The authors conclude that the threshold values for these two parameters are determined primarily by the demand rate of the deals and the service rate of the standard jobs.
Subject
Information Systems and Management,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems,Management Information Systems
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献