Data Envelopment Analyses
Ahmad Reza Tahanian; Hasan Haleh; Farhad Etebari; Behnam Vahdani
Abstract
Purpose: The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.Methodology: To this end, sustainability indicators, agility indices in project management and project management critical ...
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Purpose: The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.Methodology: To this end, sustainability indicators, agility indices in project management and project management critical success factors are identified. By calculating the large projects efficiency numbers in each of attitudes include financial, social and environmental, three dimensions of sustainability and by drawing a regional graph based on the projects’ efficiency numbers in both attitudes of agiliy and project management critical success factors, the project performance is studied in both attitudes. Findings: Graphs and efficiency results in sustainability attutudes show that among 27 projects, just three projects are efficient in all three attitudes. In addidtion, to deliver product/service in the shortest time is the meaning of delivering value to the customer with extending the agility in project management. Also, to protect the resources for the next generation, project manager can dedicate the financial and social resources in order to control the environmental impacts of the projects in parallel with the sustainable development principles which which can be translated to be responding efficiently and effectively to the customers while meeting the requirements of the sustainable development. Originality/Value: The project as a temprory organization should be managed in such a way that while adapting to the changes and being agile in responsiveness, it also keeps the time range, cost and qulity for delivering the created product/service. Agility has been proposed as an approach to gain and keep the competitiveness in a changing and unpredictable environment and it focuses on meeting customers needs while sustainability attitude does focus on the reduction of the udesireable affects of the meeting customers demands. To integrate these two concepts in the field of project management leads to the efficiency and success of the project, comprehensively.
Combinatorial Optimization
Ahmad Yousefi Hanoomarvar; Maghsoud Amiri; Laya Olfat; Alireza Naser Aadrabadi
Abstract
Purpose: The proposed model is a time-cost-quality trade-off model with three objective functions: minimizing project completion time, minimizing total project cost, and maximizing total quality of activities in a PERT network with multi-mode activities.
Methodology: After presenting the appropriate ...
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Purpose: The proposed model is a time-cost-quality trade-off model with three objective functions: minimizing project completion time, minimizing total project cost, and maximizing total quality of activities in a PERT network with multi-mode activities.
Methodology: After presenting the appropriate mathematical model, based on the design of the experiments, the possible levels of each decision variable were determined. Then, using the simulation process, random values of decision variables and response variables were obtained each time, and by using neural networks, we established a neural network model. To solve this model, two algorithms NSGA-II and MOPSO were used.
Findings: To evaluate the efficiency of the model, the designed model was implemented in the maintenance department of Abtin Ardakan Steel Company. According to the results, it is found that the NSGA-II algorithm has better performance than the MOPSO algorithm.
Originality/Value: In this paper, a model was presented that by eliminating unrealistic assumptions and taking into account the realities of the project is closer to reality than the models presented in this field and has more application in practice.
meta-heuristic algorithms
Ehsan Aghdaee; Ali Husseinzadeh Kashan
Abstract
In managing a project, reliable prediction is an essential element for success. Project managers are always looking for controlling their projects to make sure the the project is within acceptable limits. For a long time, the earned value management (EVM) for pursuing time performance and the cost of ...
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In managing a project, reliable prediction is an essential element for success. Project managers are always looking for controlling their projects to make sure the the project is within acceptable limits. For a long time, the earned value management (EVM) for pursuing time performance and the cost of the project has been used. However, using this method to valuate project time performance by utilizing the time performance index (SPI) by researchers and practitioners has been faced with serious criticism. Therefore, the present study proposes a framework for assessment and prediction of the temporal performance of each of the thread activities in project management. In this framework, using the multi objective league championship algorithm (MOLCA), the initial plan of the projects is optimized and then via using the Kalman Filter prediction method, project execution planning is done such that the projects in conditions of uncertainty could be forecasted and ahead horizon being demonstrated accurately with the least error for project managers. In this paper, in order to ensure the quality of the solutions, the output of the algorithm is compared with genetic algorithms (NSGII) and particle swarm optimization (MOPSO), where results demonstrate the superiority of the proposed algorithm.