Circular Economy-oriented Simulation: A Literature Review Grounded on Empirical Cases

被引:1
作者
Sassanelli, Claudio [1 ]
Rosa, Paolo [1 ]
Terzi, Sergio [1 ]
机构
[1] Politecn Milan, Dept Management Econ & Ind Engn, Piazza Leonardo da Vinci 32, I-20133 Milan, Italy
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INNOVATIVE INTELLIGENT INDUSTRIAL PRODUCTION AND LOGISTICS (IN4PL) | 2020年
基金
欧盟地平线“2020”;
关键词
Circular Economy; Simulation; Disassembly; Industry; 4.0; Systematic Literature Review; DYNAMICS; PERFORMANCE; PRODUCT; DESIGN; STOCK;
D O I
10.5220/0009989300530059
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Nowadays, manufacturers are increasingly impelled in adopting Circular Economy (CE) strategies and consistently adequating their business models to more environment-oriented practices. However, several barriers can be encountered during the transition from linear to circular behaviours. Here, simulation methods can play a strategic role in supporting companies during the assessment of potential solutions to make their products' lifecycle circular. To this aim, simulation (as part of Industry 4.0 (I4.0) technologies), have been detected through a literature review as one of the main technologies supporting CE. Basing on results, the End-of-Life (EoL) stage seems to play a strategic role within CE practices, with disassembly processes as the enabler for most of these circular strategies (e.g. reuse, reman, recycle, etc.). Moreover, a big focus is on how to foster CE through the improvement of disassembly processes of Waste from Electrical and Electronic Equipment (WEEEs) and Printed Circuit Boards (PCBs). Hence, a deeper analysis of how simulation approaches can contribute to enhance these processes is presented, by defining those technologies needed to improve specific product lifecycle stages.
引用
收藏
页码:53 / 59
页数:7
相关论文
共 34 条
[1]   A simulation-optimization model for sustainable product design and efficient end-of-life management based on individual producer responsibility [J].
Ameli, Mariam ;
Mansour, Saeed ;
Ahmadi-Javid, Amir .
RESOURCES CONSERVATION AND RECYCLING, 2019, 140 :246-258
[2]  
Barnett M W., 2003, Modeling Simulation in Business Process Management
[3]  
Borshchev A., 2004, 22 INT C SYST DYN SO
[4]  
Bosch T., 2017, Dynamics of Long-Life Assets, P303, DOI [10.1007/978-3-319-45438-2_16, DOI 10.1007/978-3-319-45438-2_16]
[5]   Driving internationalization through business model innovation: Evidences from an AgTech company [J].
Cavallo, Angelo ;
Ghezzi, Antonio ;
Ruales Guzman, Bertha Viviana .
MULTINATIONAL BUSINESS REVIEW, 2020, 28 (02) :201-220
[6]   Assessment of Comprehensive Effects and Optimization of a Circular Economy System of Coal Power and Cement in Kongtong District, Pingliang City, Gansu Province, China [J].
Dong, Suocheng ;
Wang, Zhe ;
Li, Yu ;
Li, Fujia ;
Li, Zehong ;
Chen, Feng ;
Cheng, Hao .
SUSTAINABILITY, 2017, 9 (05)
[7]   The role of online information-sharing platforms on the performance of industrial symbiosis networks [J].
Fraccascia, Luca ;
Yazan, Devrim Murat .
RESOURCES CONSERVATION AND RECYCLING, 2018, 136 :473-485
[8]   Modularization in material flow simulation for managing production releases in remanufacturing [J].
Gaspari L. ;
Colucci L. ;
Butzer S. ;
Colledani M. ;
Steinhilper R. .
Journal of Remanufacturing, 2017, 7 (2-3) :139-157
[9]   System Dynamics Simulation and Adjustment on Coal Resource Utilization Based on Circular Economy [J].
Hao, Yanhong ;
Wang, Lingmei ;
Qiu, Lixia .
NATURAL RESOURCES AND SUSTAINABLE DEVELOPMENT II, PTS 1-4, 2012, 524-527 :3190-3201
[10]  
Harrison JR, 2007, ACAD MANAGE REV, V32, P1229, DOI 10.5465/AMR.2007.26586485