Main Article Content
Reverse supply chain, Food waste, Industry 4.0 Revolutions, recycling machine
The present research offeres a model to the advantage of operations for the food reverse supply chain by performancing Industry 4.0 Revolutions model of expanding a fuzzy multi-phase model for the food waste gathering reverse supply chain. This study introduces, a household waste recycling machine, which symbolizes the Industry 4.0 Revolutions. Also, electric-type vehicles have been considered for collection and delivery in accordance with the Industry 4.0 Revolutions. The rate of technology has been described in recycling stations. Several methods with different technologies to recycle food waste have been selected and assessed based on the Industry 4.0 Revolutions indicators. The food wastes are sent to recycling stations, that is places maintained, operated or used to store, buy or sell wastes before they recycled with appropriate technology. The understudy model is multi-objective, maximizing the benefit of recycling and customer response and minimizing the adverse effects of environmental pollution and transportation costs. In this research, the whale optimization algorithm is applied. The present work proposes an end-to-end solution for Reverse Supply Chain Management for food waste based on the Industry 4.0 Revolutions.
Almazán, C. S., Alfaro, J. F., Sikra, S., 2019. Exploring household willingness to participate in solid waste collection services in Liberia, Habitat International, Volume 84, Pages 57-64, ISSN 0197-3975, 10.1016/j.habitatint.2019.01.001.
Borowski, D., Huddleston, W. and Thorp, B., 2013. Waste recycling method. U.S. Patent 8,459,461, issued June 11.
Bottani, E. and Casella, G., 2018. Minimization of the environmental emissions of closed-loop supply chains: a case study of returnable transport assets management. Sustainability 10(2): 329. 10.3390/su10020329
Boulet, M., Hoek, A.C. and Raven, R., 2021. Towards a multi-level framework of household food waste and consumer behaviour: untangling spaghetti soup. Appetite 156: 104856. 10.1016/j.appet.2020.104856
Bravi, L., Francioni, B., Murmura, F. and Savelli, E., 2020. Factors affecting household food waste among young consumers and actions to prevent it. A comparison among UK, Spain and Italy. Resources, Conservation and Recycling 153: 104586. 10.1016/j.resconrec.2019.104586
Casper, R. and Sundin, E., 2018. Reverse logistic transportation and packaging concepts in automotive remanufacturing. Procedia Manufacturing 25: 154–160. 10.1016/j.promfg.2018.06.069
CN 104670533A, Chinese patent, (2015). Waste recycling device with denoising function and use method thereof.
CN 105202546A, Chinese patent, (2015). Solid organic waste recycling device.
CN 204448233U, Chinese patent, (2015). Environment-friendly building garbage recycling device.
CN 204545223U, Chinese patent, (2015). Device for punch press waste recycling.
Filimonau, V., Matute, J., Kubal-Czerwi´nska, M., Krzesiwo, K. and Mika, M., 2020. The determinants of consumer engagement in restaurant food waste mitigation in Poland: an exploratory study. Journal of Cleaner Production 247: 119105. 10.1016/j.jclepro.2019.119105
Geng, Y., Tsuyoshi, F. and Chen, X., 2010. Evaluation of innovative municipal solid waste management through urban symbiosis: a case study of Kawasaki. Journal of Cleaner Production 18(10–11): 993–1000. 10.1016/j.jclepro.2010.03.003
Giacomo, A. and Giuseppe, M., 2019. Recycling and waste generation: an estimate of the source reduction effect of recycling programs. Ecological Economics 161: 321–329. 10.1016/j.ecolecon.2019.04.002
Habibi, M.K., Battaïa, O., Cung, V.D. and Dolgui, A., 2017. Collection-disassembly problem in reverse supply chain. International Journal of Production Economics 183: 334–344. 10.1016/j.ijpe.2016.06.025
Hossain, M.K. and Thakur, V., 2021. Benchmarking healthcare supply chain by implementing Industry 4.0: a fuzzy-AHP-DEMATEL approach. Benchmarking: An International Journal 28(2): 556–581. 10.1108/BIJ-05-2020-0268
Jiménez, M., Arenas, M., Bilbao, A. and Rodrı, M.V., 2007. Linear programming with fuzzy parameters: an interactive method resolution. European Journal of Operational Research 177(3): 1599–1609. 10.1016/j.ejor.2005.10.002
Kim, J., Rundle-Thiele, S., Knox, K., Burke, K. and Bogomolova, S., 2020. Consumer perspectives on household food waste reduction campaigns. Journal of Cleaner Production 243: 118608. 10.1016/j.jclepro.2019.118608
KR 101870415B1, Korean patent, (2018). Shredding device for electronic waste recycling.
Liu, S., Zhang, G. and Wang, L., 2018. IoT-enabled dynamic optimisation for sustainable reverse logistics. Procedia CIRP 69: 662–667. 10.1016/j.procir.2017.11.088
Manavalan, E. and Jayakrishna, K., 2019. A review of Internet of Things (IoT) embedded sustainable supply chain for industry 4.0 requirements. Computers & Industrial Engineering 127: 925–953. 10.1016/j.cie.2018.11.030
Maria, C.A. and Damiano, F., 2019. Intrinsic incentives in household waste recycling: the case of Italy in the year 1998. Journal of Cleaner Production 227: 98–110. 10.1016/j.jclepro.2019.04.184
Mohammad, A., Goli, V.S.N.S. and Singh, D.N., 2021. Discussion on Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic, by Sharma et al. (2020). Resources, Conservation and Recycling 164: 105175. 10.1016/j.resconrec.2020.105175
Neugebauer, M. and Sołowiej, P., 2017. The use of green waste to overcome the difficulty in small-scale composting of organic household waste. Journal of Cleaner Production 156: 865–875. 10.1016/j.jclepro.2017.04.095
Neugebauer, R., Hippmann, S., Leis, M. and Landherr, M., 2016. Industry 4.0—form the perspective of applied research. 49th CIRP Conference on Manufacturing Systems, December 2016, Procedia CIRP, Volume 57, Pages 2-7, Munich, Germany. 10.1016/j.procir.2016.11.002
Septianto, F., Kemper, J.A. and Northey, G., 2020. Thanks, but no thanks: the influence of gratitude on consumer awareness of food waste. Journal of Cleaner Production 258: 120591. 10.1016/j.jclepro.2020.120591
Sharma, H.B., Vanapalli, K.R., Cheela, V.R.S., Ranjan, V.P., Jaglan, A.K., Dubey, B., 2020. Challenges, opportunities, and innovations for effective solid waste management during and post COVID-19 pandemic. Resources, Conservation and Recycling 162: 105052. 10.1016/j.resconrec.2020.105052
Smith, T.A. and Landry, C.E., 2021. Household food waste and inefficiencies in food production. American Journal of Agricultural Economics 103(1): 4–21. 10.1111/ajae.12145
Stock, T. and Seliger, G., 2017. Opportunities of sustainable manufacturing in Industry 4.0. Procedia CIRP 40: 536–541. 10.1016/j.procir.2016.01.129
Stratman, J. and Novak, J., 1973. Trash compactor. U.S. Patent 3,741,108, issued June 26.
Thoben, K.D., Wiesner, S. and Wuest, T., 2017. Industrie 4.0 and smart manufacturing—a review of research issues and application examples. International Journal of Automation and Technology 11(1): 4–16. 10.20965/ijat.2017.p0004
Tosarkani, B.M. and Amin, S.H., 2018. A possibilistic solution to configure a battery closed-loop supply chain: multi-objective approach. Expert Systems with Applications 92: 12–26. 10.1016/j.eswa.2017.09.039
Valenzuela, J., Alfaro, M., Fuertes, G., Vargas, M. and Navarrete, C.S., 2021. Reverse logistics models for the collection of plastic waste: a literature review. Waste Management & Research Journal 40(8): 403–418.
Vanapalli, K.R., Sharma, H.B., Ranjan, V.P., Samal, B., Bhattacharya, J., Dubey, B.K. and Goel, S., 2021. Challenges and strategies for effective plastic waste management during and post COVID-19 pandemic. Science of the Total Environment 750: 141514. 10.1016/j.scitotenv.2020.141514
Waqas, M., Nizami, A.S., Aburiazaiza, A.S., Barakat, M.A., Ismail, I.M.I. and Rashid, M.I., 2017. Optimization of food waste compost with the use of biochar. Journal of Environmental Management 216: 70–81. 10.1016/j.jenvman.2017.06.015
Wang, X., Zhao, M. and He, H., 2018. Reverse logistic network optimization research for sharing bikes. Procedia Computer Science 126: 1693–1703. 10.1016/j.procs.2018.08.108
Werffa, E.V.D., Vrielinga, L., Zuijlenb, B.V. and Worrellb, E., 2019. Waste minimization by households—a unique informational strategy in the Netherlands. Resources, Conservation & Recycling 144: 256–266. 10.1016/j.resconrec.2019.01.032
Wilkinson, K., 2020. The drawdown review. A. P. D. Publication. Available at: https://drawdown.org/drawdown-review.
Ye, Z., Yang, J., Zhong, N., Tu, X., Jia, J. and Wang, J., 2020. Tackling environmental challenges in pollution controls using artificial intelligence: a review. Science of the Total Environment 699: 134279. 10.1016/j.scitotenv.2019.134279
Zhou, L., Du, C., Bai, C. and Song, Y., 2019. An Internet of Things based COPD managing system: its development, challenges and first experiences. Clinical eHealth 2: 12–15. 10.1016/j.ceh.2019.