Optimisation of product family design with consideration of supply risk and discount
Optimisation of product family design with consideration of supply risk and discount
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DOI：
10.1007/s00163-015-0204-1
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发表时间：
2015-10
影响因子：
3.2
通讯作者：
Xinggang Luo;Wei Li;C. Kwong;Yan Cao
中科院分区：
文献类型：
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作者：
Xinggang Luo;Wei Li;C. Kwong;Yan Cao
产品族设计的优化已被重视和研究多年。然而，以往的研究只将总成本或利润作为优化目标，而忽略了产品族的供应风险。此外，在建模中没有考虑与投标价格相关的折扣，这在实践中是常见的。本文提出了一种将供应商选择与产品族设计相结合的多目标优化方法。在我们的优化模型中，不仅利润，而且产品系列的供应风险也被制定为优化目标。因此，我们可以从多个角度评估和优化产品族。此外，由于投标价格折扣可能会影响产品族的配置和供应商的选择，我们在优化模型中加入了供应商投标价格的线性分段折扣。为实现多目标优化模型的Pareto非支配解，提出了NSGA-II算法。对模型参数进行了敏感性分析，并以某印刷计算器产品为例，对企业的管理有了一些启示。
Optimisation of product family design has been emphasised and studied for many years. However, previous studies only took overall cost or profit as an optimisation objective, but ignored the supply risk of a product family. Moreover, the discount associated with the bidding price, which is common in practice, was not considered in the modelling. In this paper, we propose a new multi-objective optimisation approach integrating supplier selection into product family design. In our optimisation model, not only the profit but also the supply risk of a product family is formulated as optimisation objectives. Consequently, we can evaluate and optimise a product family from many perspectives. In addition, as a bidding price discount may affect product family’s configuration and supplier selection, we include linear piecewise discount of bidding prices from suppliers in our optimisation model. The NSGA-II algorithm is developed to achieve Pareto non-dominated solutions of the multi-objective optimisation model. Sensitivity analysis on the model parameters is performed, and several managerial insights for enterprises are achieved in the case study of a printing calculator product.