Production Management and Optimal Use of Crumb Rubber Concrete

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

The most important result of the production of aggregate concrete materials from the process of recycling rubber waste and the production of widely used products is to turn the problem into a solution. In this research, a multi-criteria decision model has been used to select the best product from aerated concrete. Accordingly, the multi-criteria decision model is collected step by step by AHP hierarchical method by preparing and arranging two separate series of questionnaires in two separate stages. After reviewing and analyzing the data obtained from the first stage of the questionnaire, the data in the second stage are based. Modeling and analyzing the information of the questionnaire using EXCEL and EXPERT CHOICE software has been studied and final prioritized. The weights of the main decision criteria including technical, environmental, managerial and executive, economic, insulation and insulation criteria were determined by scoring civil and environmental experts and the relevant matrix was formed. Using EC software, the relative weight of the main criteria relative to the main goal, which is the optimal product selection of aerated concrete, as well as the relative weight of the indicators related to each criterion to the relevant criterion were calculated. After two stages of reviewing the results of two series of questionnaires and analyzing the results and based on the results of combining the results of EC software (second stage of research) and ranking the options based on criteria and sub-criteria, the weights of the best product options made from Asphalt concrete as described in Asphalt Asphalt Concrete (crac) 14135, Highway Guardrail Asphalt Concrete Block 14119, Non-Load Wall Panel Asphalt Partition 14196, Asphalt Concrete Street Table Block 14179 Asphalt Particleboard Urban facilities were set at 1417 .Therefore, the production of asphalt crumb concrete product (crac) as the best product in all respects in this study was qualified and selected.

Language:
Persian
Published:
Journal of Quantitative Studies in Management, Volume:12 Issue: 3, 2022
Pages:
79 to 104
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