Joint Pricing and Inventory Control Modeling for Obsolescent Products: a Case Study of Telecom Industry

Q3 Economics, Econometrics and Finance

International Journal of Applied Decision Sciences Pub Date : 2019-05-07 DOI:10.1504/IJADS.2019.10020867

M. S. Moghadam, I. N. Kamalabadi, Bahareh Karbasian

引用次数: 0

Abstract

The current pricing context calls for better, faster and more precise pricing decision makings than ever before. These in turn, oblige companies to take a new stance with respect to the role of pricing in today's overwhelming and complex marketing context. Similarly, decisions related to inventory control and types of goods are strongly linked to pricing as well. The aim of this paper is to present a mathematical programming model for joint inventory control and pricing for the bundling of obsolescent items. To this end, a mathematical programming model was developed following a comprehensive review of the literature in this area. The validity of the proposed model was then tested in the telecommunications industry as a case study. According to the obtained results, the proposed model had a fairly good validity.

查看原文本刊更多论文

失效产品联合定价与库存控制模型:以电信行业为例

当前的定价环境需要比以往任何时候都更好、更快、更精确的定价决策。这反过来又迫使公司对定价在当今压倒性而复杂的营销环境中的作用采取新的立场。同样，与库存控制和商品类型相关的决策也与定价密切相关。本文的目的是提出一个数学规划模型，用于废旧物品捆绑的联合库存控制和定价。为此，在全面回顾该领域的文献后，开发了一个数学规划模型。然后以电信行业为例，对所提出的模型的有效性进行了测试。结果表明，该模型具有较好的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Applied Decision Sciences Decision Sciences-Information Systems and Management

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： IJADS is a double-blind refereed international journal whose focus is to promote the infusion of the functional and behavioural areas of business with the concepts and methodologies of the decision sciences and information systems. IJADS distinguishes itself as a business journal with an explicit focus on modelling and applied decision-making. The thrust of IJADS is to provide practical guidance to decision makers and practicing managers by publishing papers that bridge the gap between theory and practice of decision sciences and information systems in business, industry, government and academia. Papers published in the journal must contain some link to practice through realistically detailed examples or real applications.