Sustainability and Life Cycle Product Design (Chapter 22)
Sustainability and Life Cycle Product Design (Chapter 22)
复制标题
可持续性和生命周期产品设计（第 22 章）
DOI：
10.1007/978-3-030-11866-2
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Smith, Alice
中科院分区：
文献类型：
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作者：
Thurston, Deborah;Behdad, Sara;Smith, Alice
本章讨论了在产品设计过程中出现的可持续性和生命周期问题。从工业工程的角度对问题本身进行了描述。第一部分描述了问题的要素，包括需要扩大一套相互冲突的目标正在考虑，需要考虑整个产品的生命周期，需要采用新的数据采集工具，并需要调查消费者行为的复杂作用之前，期间和之后的购买点。随后的章节总结了作者为解决这些问题所做的工作。首先提出了一个通用的数学规划框架。然后，本章突出了几个例子的好处带来的逻辑和数学的严谨性，工业工程方法，这些问题。介绍了作者以前对可持续设计的贡献，包括从基于决策的设计角度定义产品生命周期的概念，开发不同类型的工程设计决策技术（主观和客观），规范的决策分析方法（例如，多属性效用、约束优化），用于环境意识设计以覆盖新环境目标的方法（例如，设计与最终使用阶段的连接），以及沉浸式计算技术，以应对信息密集型设计程序的挑战。最后一节提出了在产品选择、使用和处置过程中考虑异质消费者行为的方法。
This chapter addresses problems that arise during product design for sustainability and the life cycle. A description of the problem itself is provided from an industrial engineering viewpoint. The first section describes the problem elements, including the need to expand the set of conflicting objectives under consideration, the need to consider the entire product life cycle, the need to employ new data acquisition tools, and the need to investigate the complex role of consumer behavior before, during, and after the point of purchase. Subsequent sections summarize work the authors have done towards solving these problems. A general mathematical programming framework is first presented. Then, the chapter highlightes several instances of the benefits of bringing the logic and mathematical rigor of industrial engineering methods to these problems. The authors’ previous contributions to sustainable design are presented and include defining the concept of the product life cycle from a decision-based design point of view, developing different types of decision-making techniques for engineering design (both subjective and objective), normative decision analytic methods (e.g., multiattribute utility, constrained optimization), methods for environmentally conscious design to cover new environmental objectives (e.g., connection of design with the end-of-use phase), and immersive computing technologies to address challenges with information-intensive design procedures. The final section presents methods to consider heterogeneous consumer behavior during product selection, use, and disposal.