| 引用本文: | 鞠萍华,陈资,冉琰,涂顺泽.概率语言环境下考虑专家心理行为的QFD方法[J].哈尔滨工业大学学报,2020,52(7):193.DOI:10.11918/201907218 |
| JU Pinghua,CHEN Zi,RAN Yan,TU Shunze.A novel QFD method considering expert’s psychological behavior character under probabilistic linguistic environment[J].Journal of Harbin Institute of Technology,2020,52(7):193.DOI:10.11918/201907218 |
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| 摘要: |
| 为解决传统质量功能展开(QFD)在实际运用过程中存在关于顾客需求和工程技术之间的关系评估,顾客需求权重的确定和工程技术的优先级排序等方面的固有缺陷,提出一种概率语言环境下考虑专家心理行为的QFD方法. 运用概率语言连乘层次分析法(PL-MAHP)确定顾客需求初始权重,针对顾客需求之间的关联关系,运用模糊认知图(FCM)对顾客需求进行推理分析并获取其最终权重；为有效地处理QFD团队专家评估信息中的模糊性和不确定性,使用概率语言术语集(PLTS)表征顾客需求和工程技术之间的关联强度,并将交互式多属性决策(TODIM)拓展到概率语言环境中,依据各个工程技术的全局占优度来最终确定工程技术的重要度,充分考虑了专家心理行为对工程技术的优先级排序的影响.在电动汽车产品开发实例中运用本文方法结果表明,该方法能合理有效地确定最终重要度. 与现有其他方法对比分析,验证了本文方法的优越性. |
| 关键词: 质量功能展开 概率语言术语集 交互式多属性决策 模糊认知图 工程技术 顾客需求 |
| DOI：10.11918/201907218 |
| 分类号:N94 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(1,8)；国家重大科技专项(2018ZX04032-1,6ZX04004-005) |
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| A novel QFD method considering expert’s psychological behavior character under probabilistic linguistic environment |
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JU Pinghua,CHEN Zi,RAN Yan,TU Shunze
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(State Key Laboratory of Mechanical Transmissions (Chongqing University), Chongqing 400044, China)
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| Abstract: |
| To overcome some inherent drawbacks regarding the assessment of relationships between customer requirements and engineering characteristics, the determination of customer requirements weights and the prioritization of engineering characteristics in application of traditional QFD method, a novel QFD method considering expert’s psychological behavior character under probabilistic linguistic environment was proposed. Firstly, the initial weights of customer requirements were determined by using the probabilistic linguistic multiplicative analytic hierarchy process (PL-MAHP). With respect to the interrelationships among customer requirements into account, fuzzy cognitive map (FCM) was used to analyze and determine their final weights. Secondly, the probabilistic linguistic sets (PLTS) was applied to express the uncertainty and hesitancy of subjective assessments in evaluating the interrelations between customer requirements and engineering characteristics. in addition, the TODIM method was extended to probabilistic linguistic environment, the overall dominance of engineering characteristics was utilized to determine the importance ranking of engineering characteristics considering the psychological behaviors of decision makers. Finally, the proposed QFD method was applied in an empirical case concerning the product development of electric vehicle, the results proved that the method can effectively prioritise engineering characteristics in QFD, and comparison study with other relevant methods was also performed to show its merits. |
| Key words: quality function deployment (QFD) probabilistic linguistic sets (PLTS) interactive multi-attribute decision making (TODIM) fuzzy cognitive map (FCM) engineering characteristics customer requirement |
