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.
Mortreza Zanganeh; Asadolah Akram
Abstract
In this research, different strategies were developed to establish an agricultural service center in terms of the number and capacity of services provided. A separate location model was developed to locate agricultural service centers for each solution. For this purpose, the location-allocation model ...
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In this research, different strategies were developed to establish an agricultural service center in terms of the number and capacity of services provided. A separate location model was developed to locate agricultural service centers for each solution. For this purpose, the location-allocation model was used to develop the location models and the branch and bound algorithm to solve the models. The main purpose of these models was to minimize the cost of deploying agricultural service centers (including start-up and shipping costs to the point of service). In the model solved in this study, measures such as cost of establishment, cost of service start-up, distance between service center to customers, transportation costs and number of trips required to meet each customer's demand were considered. In this study, in order to show the practical capabilities of developed methods and models, a case study was conducted in Razan city, in Hamadan Province. After implementation of the location-allocation model, the optimal locations to establish agricultural service centers in all villages of the area were determined separately. The results of this study can be used by national and regional managers and planners in locating agricultural service and planning centers to provide services to agricultural users.
Majid Khanali; Mahdieh Mohammadnia Galeshklamei; Asadollah Akram; Homa Hosseinzadeh Bndbafha
Abstract
In this study, energy consumption and pollutant emissions in producing local cookies in Guilan province have been assessed. Optimization techniques in energy consumption to reduce pollutant emissions were also shown using two conventional methods: data envelopment analysis (DEA) and multi-objective genetic ...
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In this study, energy consumption and pollutant emissions in producing local cookies in Guilan province have been assessed. Optimization techniques in energy consumption to reduce pollutant emissions were also shown using two conventional methods: data envelopment analysis (DEA) and multi-objective genetic algorithm (MOGA). Required data, gathered from 30 units preparing local cookies, were used as the preliminary data for energy and environmental analyses. Also, the environmental impacts in cookie production were investigated using life cycle assessment (LCA) approach. Inputs and output were converted to equivalent energies based on equivalent energy values. Results showed that 30533.66 MJ of energy would be needed to produce one ton of cookies. The share of natural gas in providing energy to produce one ton of cookies was calculated as high as 16945.2893 MJ. Based on LCA results, the global warming (GW) index was calculated as 3732.09 kg CO2 eq. per ton of local cookies.Based on the results of DEA models, the optimum amount of energy consumption is 30221.5856 MJ ton-1, the energy saving percentage is 1.02 %, and the reduction of GW index is 190.3739 kg CO2 eq. per ton of cookies produced in the units. Following patterns proposed by MOGA would results 21.62% reduction in energy consumption, main part of which associated with cookies in which walnuts are used. Based on the optimization results of MOGA, GW index per production of one ton of cookie was calculated as 2923.74 kg CO2 eq.
