Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization
Purpose: The cost-time tradeoff in project scheduling is a significant challenge that has garnered substantial attention. This research aims to establish a balance between time compression and delays in activity execution to optimize resource utilization and facilitate activity scheduling based on e...
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Ayandegan Institute of Higher Education, Tonekabon,
2024-08-01
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| Series: | تصمیم گیری و تحقیق در عملیات |
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| Online Access: | https://www.journal-dmor.ir/article_196469_a0b28d0a5118d21d28a0f4694451238c.pdf |
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| _version_ | 1832577846210461696 |
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| author | Mohammadreza Shahriari |
| author_facet | Mohammadreza Shahriari |
| author_sort | Mohammadreza Shahriari |
| collection | DOAJ |
| description | Purpose: The cost-time tradeoff in project scheduling is a significant challenge that has garnered substantial attention. This research aims to establish a balance between time compression and delays in activity execution to optimize resource utilization and facilitate activity scheduling based on existing constraints. To achieve this, a bi-objective mathematical model is developed to support decision-makers in selecting the optimal schedule for project execution.Methodology: In this study, a bi-objective mathematical model is proposed to balance cost and time, incorporating a nonlinear cost function and the time value of money. The model is then solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to analyze the effects of time compression and activity delays on the outcomes.Findings: The proposed model's results demonstrate its ability to optimize project resource usage by considering current constraints and capacities. This enables decision-makers to adjust activity scheduling to achieve the best balance between cost and time. Furthermore, the model assumes costs are nonlinear and calculated based on the time value of money. This approach allows for scheduling decisions that account for the time value, reducing delay-related costs and enhancing overall project efficiency.Originality/Value: This research presents a novel approach by introducing a bi-objective decision-making model that integrates the time value of money in project scheduling, marking a new step in optimizing the cost-time tradeoff. Unlike previous studies that focus solely on reducing either cost or time, the proposed model provides a comprehensive solution by accounting for nonlinear complexities and the time value of money. This model assists project managers in gaining better insight into cost-time impacts, optimizing resource allocation, and ultimately improving project performance by reducing delays. |
| format | Article |
| id | doaj-art-e31734dc209a4f94bb32d19512fde17f |
| institution | Kabale University |
| issn | 2538-5097 2676-6159 |
| language | fas |
| publishDate | 2024-08-01 |
| publisher | Ayandegan Institute of Higher Education, Tonekabon, |
| record_format | Article |
| series | تصمیم گیری و تحقیق در عملیات |
| spelling | doaj-art-e31734dc209a4f94bb32d19512fde17f2025-01-30T15:03:45ZfasAyandegan Institute of Higher Education, Tonekabon,تصمیم گیری و تحقیق در عملیات2538-50972676-61592024-08-019252554010.22105/dmor.2024.452209.1836196469Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimizationMohammadreza Shahriari0Department of Industrial management, South Tehran Branch, Islamic Azad University, Tehran, Iran.Purpose: The cost-time tradeoff in project scheduling is a significant challenge that has garnered substantial attention. This research aims to establish a balance between time compression and delays in activity execution to optimize resource utilization and facilitate activity scheduling based on existing constraints. To achieve this, a bi-objective mathematical model is developed to support decision-makers in selecting the optimal schedule for project execution.Methodology: In this study, a bi-objective mathematical model is proposed to balance cost and time, incorporating a nonlinear cost function and the time value of money. The model is then solved using the Multi-Objective Particle Swarm Optimization (MOPSO) algorithm to analyze the effects of time compression and activity delays on the outcomes.Findings: The proposed model's results demonstrate its ability to optimize project resource usage by considering current constraints and capacities. This enables decision-makers to adjust activity scheduling to achieve the best balance between cost and time. Furthermore, the model assumes costs are nonlinear and calculated based on the time value of money. This approach allows for scheduling decisions that account for the time value, reducing delay-related costs and enhancing overall project efficiency.Originality/Value: This research presents a novel approach by introducing a bi-objective decision-making model that integrates the time value of money in project scheduling, marking a new step in optimizing the cost-time tradeoff. Unlike previous studies that focus solely on reducing either cost or time, the proposed model provides a comprehensive solution by accounting for nonlinear complexities and the time value of money. This model assists project managers in gaining better insight into cost-time impacts, optimizing resource allocation, and ultimately improving project performance by reducing delays.https://www.journal-dmor.ir/article_196469_a0b28d0a5118d21d28a0f4694451238c.pdftime-cost tradeoffmopso algorithmtime value of moneyproject schedulingcrashing |
| spellingShingle | Mohammadreza Shahriari Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization تصمیم گیری و تحقیق در عملیات time-cost tradeoff mopso algorithm time value of money project scheduling crashing |
| title | Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization |
| title_full | Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization |
| title_fullStr | Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization |
| title_full_unstemmed | Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization |
| title_short | Presenting a multi-objective decision-making model for cost-time trade-off considering the time value of money and solving it using particle swarm optimization |
| title_sort | presenting a multi objective decision making model for cost time trade off considering the time value of money and solving it using particle swarm optimization |
| topic | time-cost tradeoff mopso algorithm time value of money project scheduling crashing |
| url | https://www.journal-dmor.ir/article_196469_a0b28d0a5118d21d28a0f4694451238c.pdf |
| work_keys_str_mv | AT mohammadrezashahriari presentingamultiobjectivedecisionmakingmodelforcosttimetradeoffconsideringthetimevalueofmoneyandsolvingitusingparticleswarmoptimization |