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A Bi-level algorithm for product line design and pricing

机译:一种用于产品线设计和定价的双级算法

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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:产品线设计和定价是公司成功的关键活动,特别是在具有高产品品种的竞争性市场中。 最近的文献报告了各种利润最大化模型,产品组合和价格作为决策变量。 产品组合是一个离散变量,而价格被视为连续变量。 同时优化混合和价格可能具有挑战性。 本文利用离散选择模型和基于活动的成本调整产品线的市场需求和制造成本,并提出了一种双级算法,它采用遗传算法优化产品组合和差分进化以优化产品线的价格。 执行关于智能手机的案例研究以说明这种优化算法。

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