【24h】

A Bi-level algorithm for product line design and pricing

机译:产品线设计和定价的双层算法

获取原文

摘要

Product line design and pricing are crucial activities for a firm's success especially in a competitive market with high product variety. Recent literature has reported various profit-maximization models with product mix and prices as decision variables. Product mix is a discrete variable while price is treated as a continuous variable. Optimizing both mix and price simultaneously can be challenging. This paper utilizes discrete choice model and activity-based costing to formulate market demand and manufacturing cost of a product line and proposes a bi-level algorithm, which uses genetic algorithm for optimizing product mix and differential evolutionary for optimizing prices for a product line. A case study on smart phones is carried out to illustrate this optimization algorithm.
机译:产品线的设计和定价对于公司的成功至关重要,特别是在产品种类繁多的竞争激烈的市场中。最近的文献报道了各种以产品组合和价格为决策变量的利润最大化模型。产品组合是离散变量,而价格则被视为连续变量。同时优化组合和价格可能是具有挑战性的。本文利用离散选择模型和基于活动的成本核算来制定产品线的市场需求和制造成本,并提出了一种双层算法,该算法使用遗传算法来优化产品结构,并使用差分进化法来优化产品线的价格。以智能手机为例,说明了该优化算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号