Integration of environmental considerations in quality function deployment by using fuzzy logic
Integration of environmental considerations in quality function deployment by using fuzzy logic
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DOI：
10.1016/j.eswa.2008.08.029
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发表时间：
2009-04
期刊：
影响因子：
--
通讯作者：
T. Kuo;Hsin-Hung Wu;Jiunn-I Shieh
中科院分区：
文献类型：
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作者：
T. Kuo;Hsin-Hung Wu;Jiunn-I Shieh
近年来，生命周期中的资源优化（能源和材料）和环境问题受到公众和政府机构的高度重视。这些活动敦促政府和企业建立环境友好型生产技术，旨在避免有害物质排放到空气、水和土壤中。然而，这些生态设计的产品尽管看起来更环保、更经济，但并没有在市场上取得预期的有利地位。这可能是因为他们只专注于环境影响分析，而不考虑客户需求和成本考虑。在本研究中，开发了生态质量功能部署 (Eco-QFD)，以帮助产品设计团队考虑环境问题，因为 QFD 是一种经过验证的质量系统工具，可实现客户总体满意度。 Eco-QFD 将模糊群体方法应用于产品开发规划，以减少群体决策过程中的模糊性和不确定性。这种模糊多目标模型不仅考虑了总体客户满意度，而且鼓励企业生产环保产品。通过互动方法，可以获得环境可接受性和总体客户满意度之间的最佳平衡。最后，还提供了一个案例研究来说明所提出的模型的应用。
Recently, resource optimization (energy and material) and environmental issues in the life-cycle context are taken very seriously by both the general public and government agencies. These activities urge governments and companies alike to set up environmental friendly production technologies, which aim to avoid harmful emissions into air, water and soil. However, these Eco-designed products have not been achieved a favorable position in the marketplace as expected even though they appear to be more environmental friendly and economical. This may be due that they are focused solely on environmental impact analysis without regard for customer needs and cost considerations. In this research, an Eco-quality function deployment (Eco-QFD) is developed to aid a product design team in considering environmental concerns since QFD is a proven quality systems tool to achieve total customer satisfaction. A fuzzy group method is applied to Eco-QFD for product development planning to reduce the vagueness and uncertainty in a group decision-making process. This fuzzy multi-objective model not only considers the overall customer satisfaction but also encourages enterprises to produce an environmentally friendly product. With an interactive approach, the optimal balance between environmental acceptability and overall customer satisfaction can be obtained. Finally, a case study illustrating the application of the proposed model is also provided.