Composting is a municipal solid waste management strategy that can reduce municipal waste mixtures to diminish the volume and weight of disposable materials, decrease leachate emissions, recycle resources, and reduce the costs required for waste disposal. Today, the wave of consumerism in the current world and the advancement of technology has led to producing diversified waste around the globe, so the growth rate of all countries, including Iran, is increasing dramatically. This research was studied from a practical point of view for the first time in Karaj. We used a method based on a meta-heuristic algorithm to analyze the data. The results of these studies show that units that are part of large industries have a greater environmental approach than other smaller food industries because most of the smaller food industries have environmental experts or other findings; an environmental group is considered costly and troublesome. Therefore, the present research focuses on the thorough assessment of a compost plant's operational performance to achieve maximum efficiency and effectiveness. Technical, environmental, and economic viewpoints are all included in the assessment's multidimensional approach. Moreover, this case study of the Karaj compost factor summarizes the effectiveness of the method based on a meta-heuristic algorithm adopted for waste management. Therefore, it can be said that the root of the existing problems concerning the proper management of food industry waste in Karaj is due to the lack of environmental experts in the industry.
Keywords: Algorithm; Compost; Karaj compost plant; Waste management.
© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.