Sharareh Mohajeri, F. Harsej, Mahboubeh Sadeghpour, Jahanfar Khaleghi Nia
{"title":"Integrated reverse supply chain model for food waste based on industry 4.0 revolutions","authors":"Sharareh Mohajeri, F. Harsej, Mahboubeh Sadeghpour, Jahanfar Khaleghi Nia","doi":"10.15586/qas.v13i4.1002","DOIUrl":null,"url":null,"abstract":"The present research offeres a model to the advantage of operations for the food reverse supply chain by perfor-mancing 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.","PeriodicalId":20868,"journal":{"name":"Quality Assurance and Safety of Crops & Foods","volume":" ","pages":""},"PeriodicalIF":4.6000,"publicationDate":"2021-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quality Assurance and Safety of Crops & Foods","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.15586/qas.v13i4.1002","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 5
Abstract
The present research offeres a model to the advantage of operations for the food reverse supply chain by perfor-mancing 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.
期刊介绍:
''Quality Assurance and Safety of Crops & Foods'' is an international peer-reviewed journal publishing research and review papers associated with the quality and safety of food and food sources including cereals, grains, oilseeds, fruits, root crops and animal sources. It targets both primary materials and their conversion to human foods. There is a strong focus on the development and application of new analytical tools and their potential for quality assessment, assurance, control and safety. The scope includes issues of risk assessment, traceability, authenticity, food security and socio-economic impacts. Manuscripts presenting novel data and information that are likely to significantly contribute to scientific knowledge in areas of food quality and safety will be considered.
''Quality Assurance and Safety of Crops & Foods'' provides a forum for all those working in the specialist field of food quality and safety to report on the progress and outcomes of their research.