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首页> 外文期刊>International Journal of Production Research >A fuzzy hybrid decision-aid model for selecting partnersin the design chain
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A fuzzy hybrid decision-aid model for selecting partnersin the design chain

机译：在设计链中选择合作伙伴的模糊混合决策辅助模型

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摘要

Due to reducing product life cycle and increasing product complexity, design chain management has become more important for industries to develop innovative products within a shorter lead-time. Selecting the design chain partners that is a key determinant of co-development success involves multiple selection criteria and constraints that are either qualitative or quantitative. Poor selection of design chain partners may cause higher development time and cost and less competitive products. This paper considers design chain partnership formation as a multi-criteria decision-making problem. Fuzzy set theory is used to represent information that is mostly imprecise and uncertain at this stage. A fuzzy hybrid decision-aid model that integrates a fuzzy multi-criteria outranking approach with a fuzzy integer programming model is proposed to tackle both qualitative and quantitative factors as well as the decision flexibility. A genetic algorithm approach is applied to select the set of partners that maximise the total performance score of the entire design chain and satisfy the constraints of target development time and cost at the same time. An example of mobile phone design chain is used to illustrate the developed concept.
机译：由于缩短了产品生命周期并增加了产品复杂性，设计链管理对于行业在较短的开发时间内开发创新产品变得越来越重要。选择设计链合作伙伴是共同开发成功的关键因素，涉及多个选择标准和定性或定量约束。设计链合作伙伴选择不当可能会导致开发时间和成本增加，产品竞争力下降。本文将设计链伙伴关系的形成视为一个多准则决策问题。模糊集理论用于表示在此阶段大部分不精确和不确定的信息。为了解决定性和定量因素以及决策的灵活性，提出了一种将模糊多准则排序方法与模糊整数规划模型相结合的模糊混合决策辅助模型。应用遗传算法方法选择可以最大化整个设计链总性能得分并同时满足目标开发时间和成本约束的伙伴集。以手机设计链为例来说明开发的概念。

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