Ali Ghorbani; Amir Ghiasi
Abstract
This research aims to provide a model to compress the schedule by selecting the optimal activities in terms of cost, time, quality and risk using TOPSIS method. The current research is applied in terms of results and its results can be used in the direction of developing project management techniques ...
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This research aims to provide a model to compress the schedule by selecting the optimal activities in terms of cost, time, quality and risk using TOPSIS method. The current research is applied in terms of results and its results can be used in the direction of developing project management techniques and moving towards the application of engineering techniques in improving the performance of organizations implementing construction and investment projects. A library is divided. The library method was used to collect information related to the subject literature and the background of the research, and the field method was used to collect information to investigate the research objectives. In this research, the data collection tool is a questionnaire. The statistical population of the research for the questionnaire included 5 construction experts from the private sector, among whom the questionnaire was distributed. In an optimization problem with balancing time, cost, quality and risk, the appropriate implementation methods for performing a set of activities of a project from the beginning to the end should be chosen in such a way that the factors of time, cost, quality and risk of the whole project implementation are optimized. In this research, TOPSIS algorithm was used to solve the problem.
Davood Akbari; Mohsen Taghizadeh
Volume 2, Issue 6 , August 2020, , Pages 84-94
Abstract
One of the solutions that can play a key role in creating a sustainable urban management system and reducing traffic consequences, is to create a budget distribution system and optimize it based on proven patterns, in addition to wasting energy in human dimensions. And technically prevent, facilitate ...
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One of the solutions that can play a key role in creating a sustainable urban management system and reducing traffic consequences, is to create a budget distribution system and optimize it based on proven patterns, in addition to wasting energy in human dimensions. And technically prevent, facilitate the flow of traffic load at the lowest cost. Providing an optimal model of budget distribution can be created and stabilized from both quantitative and qualitative aspects. Quantitatively, the focus is on urban areas, and qualitatively, the emphasis is on how to optimize budget allocation to the components of transportation management needs assessment, which range from the nature of services to price and the flexibility of organizations. Involved in providing services to citizens. The purpose of this research is to present an approach of linear optimization in the form of a qualitative correction matrix model for transportation and urban traffic budget of Birjand, which has the advantages of simplicity, flexibility, accuracy and speed in use, as well as dynamic processes between Covers time. The research method is based on the integration of the Delphi technique method (which uses this method to collect expert opinions through a questionnaire that focuses on six dimensions of service nature, service quality, service delivery time, service price, flexibility in services By a hierarchical method that has been used to collect information from a questionnaire in a sample size of 30 experts and the share of each of the above six dimensions in a certain period of time from the total budget has been determined and It is weighted by numerical taxonomy and its compatibility is measured. Findings indicate that the current model of budget allocation in traffic management and urban transportation in Birjand is not optimal and needs serious revision. The maximum distance from the ideal conditions in allocating the budget is flexibility in providing services and then the budget that is spent on providing services to citizens. The results indicate that the current budget model in some components of traffic management and urban transportation needs to be seriously reviewed.
