Scholarlink

<p>This study introduces a difference equation for the demand function within the classical Economic Order Quantity (EOQ) model under the assumption of full backlogging. Traditionally, various forms of deterministic demand patterns have been considered, including continuous time-dependent functions such as linear, quadratic, and exponential forms, as well as stock-dependent and price-and-stock-dependent demands. In contrast, this paper considers a discrete-time framework in which demand is influenced by both the previous periods’ demands and the current time, thereby modeling demand as a difference equation.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Demand estimation in EOQ models using second-order difference equations with full backlogging

  • 期刊论文

  • 发表日期：

    2026年2月14日

查看全文
  • Shib Sankar Sana

摘要

This study introduces a difference equation for the demand function within the classical Economic Order Quantity (EOQ) model under the assumption of full backlogging. Traditionally, various forms of deterministic demand patterns have been considered, including continuous time-dependent functions such as linear, quadratic, and exponential forms, as well as stock-dependent and price-and-stock-dependent demands. In contrast, this paper considers a discrete-time framework in which demand is influenced by both the previous periods’ demands and the current time, thereby modeling demand as a difference equation.