Yongting Tian, Shouxu Song, Dan Zhou, Ruirui Yang, Chen Wei
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引用次数: 0
Abstract
AbstractThis article underscores the necessity for sustainable and environmentally friendly manufacturing practices in product family configuration (PFC) projects, which are paramount to the global economy. Nevertheless, conventional approaches often fixate solely on design aspects, overlooking downstream supply chain configuration (SCC) considerations and the corresponding environmental benefits. Consequently, there is an escalating demand for an integrated optimisation approach that encompasses both PFC and SCC to realise economic and environmental advantages. This study delves into a methodology that integrates blockchain smart contracts as binary 0–1 variables with waste recycling and utilisation, yielding a comprehensive multi-objective model. The proposed methodology seamlessly incorporates considerations for both PFC and SCC. Furthermore, a nested leader-follower optimisation algorithm, based on the non-dominated sorting genetic algorithm-II (NSGA-II), has been devised with the objective of achieving triple benefits: augmented profits, maintenance revenue, and diminished environmental emissions. In conclusion, this research contributes to the advancement of sustainable collaborative optimisation through the innovative utilisation of blockchain smart contracts and multi-level modelling. To demonstrate the effectiveness of the proposed methodology, it is applied to a 60 KW DC electric vehicle (EV) charging piles, accompanied by a sensitivity analysis to assess its management implications.KEYWORDS: Product family configurationsupply chain configurationleader-follower optimisationnon-dominated sorting genetic algorithm-IIDC charging piles AcknowledgmentsThe authors would like to thank Keda Intelligent Technology Co., Ltd. (Hefei City, Anhui Province, China) for supporting some of the data in this study. Furthermore, the author extends thanks to the collaborating entities, namely, the Chinese Academy of Environmental Sciences, Solid Waste and Chemical Management Technology Center under the Ministry of Ecology and Environment, and China National Electrical Equipment Research Institute Co., Ltd., for their generous support.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work has been funded by the National Key R & D Program in China [grant number 2019YFC1908005].
摘要本文强调了在产品族配置(PFC)项目中可持续和环境友好型制造实践的必要性,这对全球经济至关重要。然而,传统的方法往往只关注设计方面,忽视了下游供应链配置(SCC)的考虑和相应的环境效益。因此,对集成优化方法的需求不断增加,该方法包括PFC和SCC,以实现经济和环境优势。本研究深入研究了一种方法,该方法将区块链智能合约作为二进制0-1变量与废物回收和利用相结合,从而产生一个全面的多目标模型。所提出的方法无缝地结合了PFC和SCC的考虑因素。此外,基于非主导排序遗传算法- ii (NSGA-II),设计了一种嵌套的领导者-追随者优化算法,其目标是实现三重效益:增加利润、维护收入和减少环境排放。总之,本研究通过创新地利用区块链智能合约和多层次建模,有助于推进可持续的协作优化。为了证明所提出方法的有效性,将其应用于60kw直流电动汽车(EV)充电桩,并进行敏感性分析以评估其管理影响。关键词:产品族配置、供应链配置、领导-从众优化、非主导排序遗传算法、iidc充电桩。作者要感谢科达智能科技有限公司(中国安徽省合肥市)对本研究部分数据的支持。同时,对中国环境科学院、生态环境部固体废物与化学品管理技术中心、中国电气设备研究院有限公司的大力支持表示衷心的感谢。披露声明作者未报告潜在的利益冲突。项目资助:国家重点研发计划项目[批准号:2019YFC1908005]。
期刊介绍:
The Journal of Engineering Design is a leading international publication that provides an essential forum for dialogue on important issues across all disciplines and aspects of the design of engineered products and systems. The Journal publishes pioneering, contemporary, best industrial practice as well as authoritative research, studies and review papers on the underlying principles of design, its management, practice, techniques and methodologies, rather than specific domain applications.
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