Mahta Rafiee; Asadolah Akram; Mohammad Sharifi
Abstract
In order to choose the optimal solution for the management of residual by products from the olive oil industry in Roudbar city of Guilan province, a systematic literature review and expert consultation were conducted to select the criteria. Four criteria, including economic, technical, social and environmental ...
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In order to choose the optimal solution for the management of residual by products from the olive oil industry in Roudbar city of Guilan province, a systematic literature review and expert consultation were conducted to select the criteria. Four criteria, including economic, technical, social and environmental aspects were identified for choosing the solution which they divided into 12 sub-criteria. A paired comparison questionnaire was designed and completed through face-to-face interviews with 20 skilled experts in this field, using a purposeful sampling method. The Analytical Hierarchy Process (AHP) method was employed to analyze the data and perform calculations. The findings revealed that the economic criterion was the most important criterion with a weight of 0.478 in selecting the waste management approach for the olive oil industry. Afterward, respectively, technical criteria with a weight of 0.248, environmental with a weight of 0.183, and social with a weight of 0.091 were placed in the next ranks of importance by the experts. In the ranking of the alternatives, compost production was identified as the best option for managing olive oil waste in Guilan province. The results of the alternatives ranking indicated that compost production with a weight of 0.245 was considered the best option for olive oil waste in Guilan province. Followed by, renewable energy production (0.243) ranked second, animal feed production (0.236) ranked third, extraction of valuable materials (0.194) ranked fourth and finally dump in landfills (0.082) ranked last.
mohammad chenari; Majid Khanali; Mohammad Sharifi; Homa Hosseinzadeh-Bandbafha
Abstract
This study aimed to investigate and compare the environmental damage of raw sugar production in the cultivation and industry of Khuzestan province under a conventional linear framework and a circular bioeconomy perspective. The purpose of transition from production systems under linear economy to circular ...
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This study aimed to investigate and compare the environmental damage of raw sugar production in the cultivation and industry of Khuzestan province under a conventional linear framework and a circular bioeconomy perspective. The purpose of transition from production systems under linear economy to circular bioeconomy is to eliminate waste, increase the efficiency of materials and energy, and the production of biodiversity products to increase the sustainability of production systems, including food production systems. This study showed that the production per ton of raw sugar under the framework of linear economy leads to a loss of 167.41 Pt, which production and combustion of natural gas in sugarcane processing have the largest share in causing this damage. In comparison, the results of this study showed that the transition from a linear economy to a circular bioeconomy in which molasses and bagasse as the two major wastes of the sugar industry are converted into alcohol and fuel, respectively, resulted in a 193% reduction in total environmental damage. This result emphasizes that sugar production under the circular bioeconomy not only is a viable solution for existing waste management but also significantly reduces the environmental damage caused by sugarcane production and processing.
Mohammad Sharifi; Erfan Khosravani-Moghadam; Payam Hatami
Abstract
One of the most important issues in the management of milk production is to select the best option for each production activity, so that the time and cost of production is minimal and quality is the maximum. Considering the large number of activities and options for each activity usually, approaches ...
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One of the most important issues in the management of milk production is to select the best option for each production activity, so that the time and cost of production is minimal and quality is the maximum. Considering the large number of activities and options for each activity usually, approaches for obtaining a unique solution is difficult. In this regard, assigning weights to time, cost and quality can lead us to the best answer from the answers obtained. Because decision making for future is based on probability, in the present study an attempt is made to solve the cost and time and quality of milk production process, using fuzzy logic numbers for estimating risk management by defining (α) cut for intervals. Then by applying and comparing two algorithms NSGA-II and MOPSO for each activity in the milk production process under affect of different (α) cut, the best way for performing each activity was determined. Results shows that, MOPSO approach was had a more suitable effect than the NSGA-II approach for solving the problem under conditions of uncertainty (α =0) for amount of time and cost, and quality which was calculated for 2180 days atthe cost of 118228.86 Rialsand 46% in genetic algorithm and 2180 days and118224.20 Rialsand 41% in the particle Swarm algorithm respectively. Also by adjusting (α) rate to work conditions, the risk existed in the production process can be managed while performing the process activities, according the procedure that is determined for each activity during the algorithm performance, the least time and cost and highest quality as much as possible can be achieved.
