2019
DOI: 10.1016/j.jclepro.2019.118327
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A system dynamics approach to product design and business model strategies for the circular economy

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Cited by 128 publications
(63 citation statements)
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References 108 publications
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“…Therefore, SD is a powerful method to gain insights into the structure of complex and dynamic systems (Franco, 2019; Georgiadis & Besiou, 2008; Sterman, 2000); it supports long‐term, strategic decision‐making (Rebs, Brandenburg, & Seuring, 2019) to model, understand, and discuss real‐world problems. There is a gap in associated literature because no adequate research has been conducted on the environmental impact on RL considering value‐added and non‐value‐added activities with SD.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, SD is a powerful method to gain insights into the structure of complex and dynamic systems (Franco, 2019; Georgiadis & Besiou, 2008; Sterman, 2000); it supports long‐term, strategic decision‐making (Rebs, Brandenburg, & Seuring, 2019) to model, understand, and discuss real‐world problems. There is a gap in associated literature because no adequate research has been conducted on the environmental impact on RL considering value‐added and non‐value‐added activities with SD.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…Ghisolfi, Chaves, Siman, and Xavier (2017) proposed a model on social inclusion of informal waste pickers into the environmental policy in CLSC in Brazil using SD methodology. Franco (2019) presented an SD model to analyze the systemic effects of combining multiple product design and business model strategies for CLSC in a circular economy, conducting a simulation of system behavior for different model variables. Cao et al (2019) developed an SD model to observe the entire life cycle of an electric‐coal supply chain with reference to a greening energy intensive supply chain.…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…To collect the articles in this review, a Scopus search was performed using keyword combinations of the word "circular economy" and the names of the following eight main assessment methods: life cycle assessment, input-output analysis, material flow analysis, emergy/exergy analysis, system dynamics, discrete event simulation, agent-based modeling, and operations research (Figure 1). The industrial ecology and complex systems science fields were chosen based on a preliminary review of the CE literature (Ghali et al, 2017;Merli et al, 2018;Franco, 2019;Moraga et al, 2019;Sassanelli et al, 2019). The selection of keywords for the Scopus search also follows from this preliminary review and is based on the frequency of use and analysis of the methods mentioned in the reviewed publications.…”
Section: Review Methods and Analysis Frameworkmentioning
confidence: 99%
“…SD describes a system with stocks, flows, and parameters, while a corresponding set of differential and algebraic equations are solved through a simulation to get insights into the system's dynamics (Filippov, 2004). The method accounts for four characteristics of complex systems: accumulation of stocks, time delays, feedback loops, and non-linearities (Franco, 2019). One strength of SD is that, in addition to quantitative data, it may use qualitative data to generate robust and accurate models (Luna-Reyes and Andersen, 2003).…”
Section: System Dynamicsmentioning
confidence: 99%
“…Moreover, Franco (2019) stated that strategies for the circular design of products have been developed to increase the service life, facilitating maintenance, as well as to enable the disassembly and reassembly of the products. In this sense, reverse logistics plays an important role in the circular economy process, as stated by Dutta et al (2020) and emphasized by Kuşakcı et al (2020), it represents an alternative to minimize the effects of increased waste production.…”
Section: Introductionmentioning
confidence: 99%