A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain

Based on the development trend of sustainable concepts and the implement ability of composites combined with Agave Bagasse Fibre (ABF) and Polyethylene Terephthalate (PET). The purpose of this paper is to design a bi-objective decision support tool for supply chain of composite material which combin...

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Main Authors: Jia Yu, Trung Hiểu, Simon Gray, Adriana Encinas-Oropesa
Format: Article
Language:English
Published: DSRPT GbR 2023-07-01
Series:Circular Economy
Subjects:
Online Access:https://circulareconomyjournal.org/articles/a-bi-objective-decision-support-tool-based-on-system-dynamics-and-discrete-event-modelling-for-sustainable-supply-chain/
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author Jia Yu
Trung Hiểu
Simon Gray
Adriana Encinas-Oropesa
author_facet Jia Yu
Trung Hiểu
Simon Gray
Adriana Encinas-Oropesa
author_sort Jia Yu
collection DOAJ
description Based on the development trend of sustainable concepts and the implement ability of composites combined with Agave Bagasse Fibre (ABF) and Polyethylene Terephthalate (PET). The purpose of this paper is to design a bi-objective decision support tool for supply chain of composite material which combined with ABF and PET. Through the production, processing, recycling, and reprocessing of composite materials, the sustainable supply chain model of four different schemes is designed, and the data results of each scheme model are calculated and analysed. The tool can support supply chain modelling solutions that seek best practices for sustainable supply chains and optimize resource efficiency through cost and carbon dioxide emissions. The sustainable supply chain model was designed, created, and optimized in AnyLogic software using System Dynamics and Discrete Event Simulation modelling methods based on the supply chain model established by previous researchers. According to the analysis results of the model data, the reasonable design of the whole process can effectively reduce the cost and carbon dioxide emissions and achieve the effectiveness and implementation of the sustainable supply chain. The results of this study will provide reference for more sustainable supply chain models in the future. Further research on composite materials can be carried out by combining with practice.
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spelling doaj.art-aa7f746aaebd4c139166e2d1204e59a92023-09-13T11:03:43ZengDSRPT GbRCircular Economy2752-163X2023-07-0111130https://doi.org/10.55845/SDDH3833A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply ChainJia Yu0Trung Hiểu1Simon Gray2Adriana Encinas-Oropesa3School of Water, Environmental and Energy, Cranfield University, Bedfordshire MK43 0AL, UKSchool of Water, Environmental and Energy, Cranfield University, Bedfordshire MK43 0AL, UKSchool of Transport, Aerospace and Manufacturing, Cranfield University, Bedfordshire MK43 0AL, UKSchool of Water, Environmental and Energy, Cranfield University, Bedfordshire MK43 0AL, UKBased on the development trend of sustainable concepts and the implement ability of composites combined with Agave Bagasse Fibre (ABF) and Polyethylene Terephthalate (PET). The purpose of this paper is to design a bi-objective decision support tool for supply chain of composite material which combined with ABF and PET. Through the production, processing, recycling, and reprocessing of composite materials, the sustainable supply chain model of four different schemes is designed, and the data results of each scheme model are calculated and analysed. The tool can support supply chain modelling solutions that seek best practices for sustainable supply chains and optimize resource efficiency through cost and carbon dioxide emissions. The sustainable supply chain model was designed, created, and optimized in AnyLogic software using System Dynamics and Discrete Event Simulation modelling methods based on the supply chain model established by previous researchers. According to the analysis results of the model data, the reasonable design of the whole process can effectively reduce the cost and carbon dioxide emissions and achieve the effectiveness and implementation of the sustainable supply chain. The results of this study will provide reference for more sustainable supply chain models in the future. Further research on composite materials can be carried out by combining with practice.https://circulareconomyjournal.org/articles/a-bi-objective-decision-support-tool-based-on-system-dynamics-and-discrete-event-modelling-for-sustainable-supply-chain/sustainable agricultural wastesustainable supply chainsystem dynamicsdiscrete event simulationdesign thinking
spellingShingle Jia Yu
Trung Hiểu
Simon Gray
Adriana Encinas-Oropesa
A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
Circular Economy
sustainable agricultural waste
sustainable supply chain
system dynamics
discrete event simulation
design thinking
title A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
title_full A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
title_fullStr A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
title_full_unstemmed A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
title_short A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain
title_sort bi objective decision support tool based on system dynamics and discrete event modelling for sustainable supply chain
topic sustainable agricultural waste
sustainable supply chain
system dynamics
discrete event simulation
design thinking
url https://circulareconomyjournal.org/articles/a-bi-objective-decision-support-tool-based-on-system-dynamics-and-discrete-event-modelling-for-sustainable-supply-chain/
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