Activity-based allocation and optimization for carbon footprint and cost in product lifecycle

被引:18
作者
Gui, Fangzhi [1 ]
Ren, Shedong [2 ]
Zhao, Yanwei [1 ]
Zhou, Jianqiang [3 ]
Xie, Zhiwei [1 ]
Xu, Chen [1 ]
Zhu, Fen [1 ]
机构
[1] Zhejiang Univ Technol, Coll Mech Engn, Hangzhou 310014, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310014, Zhejiang, Peoples R China
[3] Quzhou Univ, Coll Mech Engn, Quzhou 324000, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon design; Lifecycle; Carbon footprint; Cost; Improved genetic algorithm; MULTIOBJECTIVE OPTIMIZATION; DESIGN; EMISSIONS; IDENTIFICATION; PARAMETERS; SYSTEM;
D O I
10.1016/j.jclepro.2019.117627
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Low-carbon design is a sustainable method, which coordinates the carbon footprint, cost and performance of each stage in product lifecycle from the design source to satisfying low-carbon demand. It is also a significant technology to reduce the carbon emission before manufacturing. To effectively and efficiently reduce the carbon emission, a low carbon-oriented design method is studied in product lifecycle. A product is modularized to function units for obtaining carbon footprint, which are quantified based on the framework of PAS2050. In order to identify the high-emission parts, an activity-based method is used to allocate the carbon footprint. Through the lifecycle analysis, the major parts and components characterized with high carbon emission are picked out according to allocation result. Due to the close relationship and conflict between the carbon emission and cost of product, an improved genetic algorithm with a novel selection mechanism, which used the correlation function, is presented to optimize these parts in order to reduce both the carbon footprint and cost. In the end of the paper, a vacuum pump is taken as a case to verify the allocation method and the improved genetic algorithm, and the result shows the effective reduction of carbon footprint and cost. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:13
相关论文
共 26 条
  • [1] The implementation of an Activity-Based Costing (ABC) system in a manufacturing company
    Almeida, A.
    Cunha, J.
    [J]. MANUFACTURING ENGINEERING SOCIETY INTERNATIONAL CONFERENCE 2017 (MESIC 2017), 2017, 13 : 932 - 939
  • [2] [Anonymous], 2006, ISO14040 - Environmental management - Life cycle assessment - Principles and framework
  • [3] British Standards Institute, 2008, 20502011 PAS BSI
  • [4] MRI brain tissue classification using unsupervised optimized extenics-based methods
    Chen, Ruey-Maw
    Yang, Sheng-Chih
    Wang, Chuin-Mu
    [J]. COMPUTERS & ELECTRICAL ENGINEERING, 2017, 58 : 489 - 501
  • [5] A new algorithm using front prediction and NSGA-II for solving two and three-objective optimization problems
    Fettaka, Salim
    Thibault, Jules
    Gupta, Yash
    [J]. OPTIMIZATION AND ENGINEERING, 2015, 16 (04) : 713 - 736
  • [6] Recent developments in Life Cycle Assessment
    Finnveden, Goran
    Hauschild, Michael Z.
    Ekvall, Tomas
    Guinee, Jeroen
    Heijungs, Reinout
    Hellweg, Stefanie
    Koehler, Annette
    Pennington, David
    Suh, Sangwon
    [J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2009, 91 (01) : 1 - 21
  • [7] Low-carbon product design for product life cycle
    He, Bin
    Wang, Jun
    Huang, Shan
    Wang, Yan
    [J]. JOURNAL OF ENGINEERING DESIGN, 2015, 26 (10-12) : 321 - 339
  • [8] Recent advances in carbon emissions reduction: policies, technologies, monitoring, assessment and modeling
    Huisingh, Donald
    Zhang, Zhihua
    Moore, John C.
    Qiao, Qi
    Li, Qi
    [J]. JOURNAL OF CLEANER PRODUCTION, 2015, 103 : 1 - 12
  • [9] Estimating the Carbon Footprint of Telecommunications Products: A Heuristic Approach
    Joyce, Toby
    Okrasinski, Thomas A.
    Schaeffer, William
    [J]. JOURNAL OF MECHANICAL DESIGN, 2010, 132 (09) : 0945021 - 0945024
  • [10] A novel topology optimization method of welded box-beam structures motivated by low-carbon manufacturing concerns
    Li, Baotong
    Hong, Jun
    Liu, Zhifeng
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 2792 - 2803