January 2025
Outline
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.
Yu, J., Hieu,T., Gray, S. & Encinas-Oropesa, A. (2023). A Bi-objective Decision Support Tool Based on System Dynamics and Discrete Event Modelling for Sustainable Supply Chain. Journal of Circular Economy, 1(3). https://doi.org/10.55845/SDDH3833
Bhubalan, K., Tamothran, A. M., Kee, S. H., Foong, S. Y., Lam, S. S., Ganeson, K., Vigneswari, S., Amirul, A. A., & Ramakrishna, S. (2022). Leveraging blockchain concepts as watermarkers of plastics for sustainable waste management in progressing circular economy. Environmental Research, 213, 113631. https://doi.org/10.1016/J.ENVRES.2022.113631
Boruchowitch, F., & Fritz, M. M. C. (2022). Who in the firm can create sustainable value and for whom? A single case-study on sustainable procurement and supply chain stakeholders. Journal of Cleaner Production, 363, 132619. https://doi.org/10.1016/J.JCLEPRO.2022.132619
Chow, D., & Heaver, T. (1999). Logistics strategies for North America. 3rd ed. Global Logistics and Distribution Planning.
Crt.org.mx. 2021. CRT. [online] Available at: https://www.crt.org.mx/estadisticascrtweb/
Dangerfield, B. (2016). Systems Thinking and System Dynamics : a primer SYSTEMS THINKING AND SYSTEM DYNAMICS : A PRIMER. June.
Design Council. (2021). What is the framework for innovation? Design Council’s evolved Double Diamond. [online] Available at: https://www.designcouncil.org.uk/news- opinion/what-framework-innovation-design-councils-evolved-double-diamond
Dfsworldwide. (2021). UK Mexico Shipping Rates 2021 | Air/Sea Freight. [online] Available at: https://www.dfsworldwide.com/shipping-to-mexico.html
Duque-Acevedo, M., Belmonte-Ureña, L. J., Cortés-García, F. J., & Camacho-Ferre, F. (2020). Agricultural waste: Review of the evolution, approaches and perspectives on alternative uses. Global Ecology and Conservation, 22, e00902. https://doi.org/10.1016/J.GECCO.2020.E00902
Elgazzar, S. H., Tipi, N. S., Hubbard, N. J., & Leach, D. Z. (2012). Linking supply chain processes’ performance to a company’s financial strategic objectives. European Journal of Operational Research, 223(1), 276–289. https://doi.org/10.1016/J.EJOR.2012.05.043
Ellen MacArthur Foundation. (2023). The Butterfly Diagram: Visualising the circular economy. The Butterfly Diagram: Visualising the Circular Economy. [Online] Available at: https://ellenmacarthurfoundation.org/circular-economy-diagram
Fedex. (2021). Calculate Shipping Rates | FedEx United Kingdom. [online] Available at: https://www.fedex.com/en-gb/online/rating.html Accessed 13 April 2022
Feng, Y. (2012). System Dynamics Modeling for Supply Chain Information Sharing. Physics Procedia, 25, 1463–1469. https://doi.org/10.1016/j.phpro.2012.03.263
Foster, W., Azimov, U., Gauthier-Maradei, P., Molano, L. C., Combrinck, M., Munoz, J., Esteves, J. J., & Patino, L. (2021). Waste-to-energy conversion technologies in the UK: Processes and barriers – A review. Renewable and Sustainable Energy Reviews, 135, 110226. https://doi.org/10.1016/J.RSER.2020.110226
Fritz, M. M. C. (2022). A supply chain view of sustainability management. Cleaner Production Letters, 3(May), 100023. https://doi.org/10.1016/j.clpl.2022.100023
GOV.UK. (2021). [online] Available at: https://www.gov.uk/government/publications/continuing-the-uks-trade-relationship- with-mexico-parliamentary-report/continuing-the- united-kingdoms-trade- relationship-with-mexico-web-version.
Huerta-Cardoso, O., Durazo-Cardenas, I., Longhurst, P., Simms, N. J., & Encinas-Oropesa, A. (2020). Fabrication of agave tequilana bagasse/PLA composite and preliminary mechanical properties assessment. Industrial Crops and Products, 152, 112523. https://doi.org/10.1016/J.INDCROP.2020.112523
Huerta-Cardoso, O., Durazo-Cardenas, I., Marchante-Rodriguez, V., Longhurst, P., Coulon, F., & Encinas-Oropesa, A. (2020). Up-cycling of agave tequilana bagasse-fibres: A study on the effect of fibre-surface treatments on interfacial bonding and mechanical properties. Results in Materials, 8, 100158. https://doi.org/10.1016/J.RINMA.2020.100158
Jia, F., Zuluaga-Cardona, L., Bailey, A., & Rueda, X. (2018). Sustainable supply chain management in developing countries: An analysis of the literature. Journal of Cleaner Production, 189, 263–278. https://doi.org/10.1016/j.jclepro.2018.03.248
Kapiriri, L., & Donya Razavi, S. (2021). Salient stakeholders: Using the salience stakeholder model to assess stakeholders’ influence in healthcare priority setting. Health Policy OPEN, 2(March), 100048. https://doi.org/10.1016/j.hpopen.2021.100048
Kaur, G., Uisan, K., Ong, K. L., & Ki Lin, C. S. (2018). Recent Trends in Green and Sustainable Chemistry & Waste Valorisation: Rethinking Plastics in a circular economy. Current Opinion in Green and Sustainable Chemistry, 9, 30–39. https://doi.org/10.1016/J.COGSC.2017.11.003
Kusumowardani, N., Tjahjono, B., Lazell, J., Bek, D., Theodorakopoulos, N., Andrikopoulos, P., & Priadi, C. R. (2022). A circular capability framework to address food waste and losses in the agri-food supply chain: The antecedents, principles and outcomes of circular economy. Journal of Business Research, 142, 17–31. https://doi.org/10.1016/J.JBUSRES.2021.12.020
Leal Filho, W., Brandli, L. L., Becker, D., Skanavis, C., Kounani, A., Sardi, C., Papaioannidou, D., Paço, A., Azeiteiro, U., de Sousa, L. O., Raath, S., Pretorius, R. W., Shiel, C., Vargas, V., Trencher, G., & Marans, R. W. (2018). Sustainable development policies as indicators and pre-conditions for sustainability efforts at universities: Fact or fiction? International Journal of Sustainability in Higher Education, 19(1), 85–113. https://doi.org/10.1108/IJSHE-01-2017-0002
Liu, S., Zhang, J., Niu, B., Liu, L., & He, X. (2022). A novel hybrid multi-criteria group decision-making approach with intuitionistic fuzzy sets to design reverse supply chains for COVID-19 medical waste recycling channels. Computers and Industrial Engineering, 169(May), 108228. https://doi.org/10.1016/j.cie.2022.108228
Londoño, N. A. C., & Cabezas, H. (2021). Perspectives on circular economy in the context of chemical engineering and sustainable development. Current Opinion in Chemical Engineering, 34, 100738. https://doi.org/10.1016/J.COCHE.2021.100738
Lupa, C. J., Ricketts, L. J., Sweetman, A., & Herbert, B. M. J. (2011). The use of commercial and industrial waste in energy recovery systems – A UK preliminary study. Waste Management, 31(8), 1759–1764. https://doi.org/10.1016/J.WASMAN.2011.04.002
Mancheri, N. A., Sprecher, B., Bailey, G., Ge, J., & Tukker, A. (2019). Effect of Chinese policies on rare earth supply chain resilience. Resources, Conservation and Recycling, 142(November 2018), 101–112. https://doi.org/10.1016/j.resconrec.2018.11.017
Mastrocinque, E., Ramírez, F. J., Honrubia-Escribano, A., & Pham, D. T. (2022). Industry 4.0 enabling sustainable supply chain development in the renewable energy sector: A multi-criteria intelligent approach. Technological Forecasting and Social Change, 182(September 2021). https://doi.org/10.1016/j.techfore.2022.121813
McElroy, C. R., Constantinou, A., Jones, L. C., Summerton, L., & Clark, J. H. (2015). Towards a holistic approach to metrics for the 21st century pharmaceutical industry. Green Chemistry, 17(5), 3111–3121. https://doi.org/10.1039/c5gc00340g
Moshinsky, M. (1959). Multiobjective Optimization. Nucl. Phys., 13(1), 104–116.
Nature. (2021). [online] Available at: https://www.nature.com/articles/531443a.pdf
Ng, K. S., Phan, A. N., Iacovidou, E., & Wan Ab Karim Ghani, W. A. (2021). Techno-economic assessment of a novel integrated system of mechanical-biological treatment and valorisation of residual municipal solid waste into hydrogen: A case study in the UK. Journal of Cleaner Production, 298, 126706. https://doi.org/10.1016/J.JCLEPRO.2021.126706
Ng, K. S., Yang, A., & Yakovleva, N. (2019). Sustainable waste management through synergistic utilisation of commercial and domestic organic waste for efficient resource recovery and valorisation in the UK. Journal of Cleaner Production, 227, 248–262. https://doi.org/10.1016/J.JCLEPRO.2019.04.136
Önden, İ., Eldemir, F., Acar, A. Z., & Cancı, M. (2023). A Spatial Multi-Criteria Decision-Making Model for Planning New Logistic Centers in Metropolitan Areas. Supply Chain Analytics, 100002. https://doi.org/10.1016/J.SCA.2023.100002
Papachristos, G. (2014). Environmental Innovation and Societal Transitions Transition inertia due to competition in supply chains with remanufacturing and recycling : A systems dynamics model. Environmental Innovation and Societal Transitions, 12, 47–65. https://doi.org/10.1016/j.eist.2014.01.005
Project Management Institute. (2021). [online] Available at: https://www.pmi.org/ Accessed 25 March 2022
Rebs, T., Brandenburg, M., & Seuring, S. (2019). System dynamics modeling for sustainable supply chain management : A literature review and systems thinking approach. Journal of Cleaner Production, 208, 1265–1280. https://doi.org/10.1016/j.jclepro.2018.10.100
Rodrigues, M., Šírová, E., & Mugurusi, G. (2022). A supplier selection decision model using multi-criteria decision analysis in a small manufacturing company. IFAC-PapersOnLine, 55(10), 2773–2778. https://doi.org/10.1016/j.ifacol.2022.10.149
Salhi, S. (2018). Logistics and Supply Chain Management : Strategies for Reducing Costs and Improving Services. November 1994. https://doi.org/10.1057/jors.1994.209
Salvia, A. L., Leal Filho, W., Brandli, L. L., & Griebeler, J. S. (2019). Assessing research trends related to Sustainable Development Goals: local and global issues. Journal of Cleaner Production, 208, 841–849. https://doi.org/10.1016/j.jclepro.2018.09.242
Statista. (2021). UK: industrial rents 2020 | Statista. [online] Available at: https://www.statista.com/statistics/323030/prime-industrial-rent-costs-in-the- united- kingdom-uk/
Subramanian, N., & Gunasekaran, A. (2015). Cleaner supply-chain management practices for twenty-first-century organizational competitiveness: Practice-performance framework and research propositions. International Journal of Production Economics, 164, 216–233. https://doi.org/10.1016/j.ijpe.2014.12.002
Tako, A. A., & Robinson, S. (2012). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802–815. https://doi.org/10.1016/j.dss.2011.11.015
Tiwari, S., Sharma, P., Choi, T. M., & Lim, A. (2023). Blockchain and third-party logistics for global supply chain operations: Stakeholders’ perspectives and decision roadmap. Transportation Research Part E: Logistics and Transportation Review, 170(June 2022), 103012. https://doi.org/10.1016/j.tre.2022.103012
Tradingeconomics. (2021). Mexico Nominal Hourly Wages in Manufacturing | 2007-2021 Data | 2022-2023 Forecast. [online] Available at: https://tradingeconomics.com/mexico/wages-in-manufacturing Accessed 05 April 2022
Vergara, J. I. T., Martínez, J. A. S., & Salais-Fierro, T. E. (2023). Performance measurement of a Resilient-Sustainable Supply Chain through fuzzy multi-criteria techniques. Computers and Industrial Engineering, 177(January), 109059. https://doi.org/10.1016/j.cie.2023.109059
Zhang, Y., Wang, Y., & Wu, L. (2012). Research on Demand-driven Leagile Supply Chain Operation Model : a Simulation Based on AnyLogic in System Engineering. 3(2011), 249–258. https://doi.org/10.1016/j.sepro.2011.11.027
DSRPT is an education technology start-up in stealth mode.
Circular Economy is our first venture. We are on a mission to disrupt higher education. If you wish to learn more about us, drop us a message: dsrpt@circular-economy.org