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Optimal pricing and two-dimensional warranty policies for a new product

机译:新产品的最优定价和二维保修政策

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For commercial products, pricing and warranty are two crucial marketing strategies, which are used to promote the potential market share. The warranty policy adopted by most of the capital-intensive products, such as machines and automobiles, usually has two dimensions, i.e. warranty age and warranty usage. In this paper, we propose to investigate the profit-maximisation problem, in which the revenue and costs will be affected by the product price and the area of warranty region, for a new product sold under two-dimensional warranty. We assume that the product sales can be captured by a stochastic Bass model based on the nonhomogeneous Poisson process. The product follows a two-dimensional failure process and is covered by a non-renewable free minimal-repair warranty, with age and usage limits. We focus on three revenue/cost components, i.e. sales revenue, warranty cost and production cost, that will significantly affect a firm's total profit. The profit is maximised by jointly optimising three decision variables, i.e. product price, warranty age limit and warranty usage limit. Numerical experiments are conducted to illustrate the effects of some key parameters, including product reliability, price elasticity, warranty elasticity and learning effect factor, on the optimal settings of the price and warranty region.
机译:对于商业产品,定价和保修是两个至关重要的营销策略,用于提高潜在的市场份额。大多数资本密集型产品(例如机器和汽车)采用的保修政策通常具有两个维度,即保修期限和保修使用情况。在本文中,我们建议调查在二维保修下销售的新产品的收益最大化问题,其中收入和成本将受到产品价格和保修区域的影响。我们假设基于非均匀泊松过程的随机Bass模型可以捕获产品销售。该产品遵循二维故障处理流程,并享有使用期限和使用期限的不可更新的免费最小维修保修。我们专注于三个收入/成本组成部分,即销售收入,保修成本和生产成本,这将显着影响公司的总利润。通过共同优化三个决策变量,即产品价格,保修期限和保修使用期限,可以使利润最大化。进行了数值实验,以说明一些关键参数(包括产品可靠性,价格弹性,保修弹性和学习影响因子)对价格和保修区域的最佳设置的影响。

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