Time-cost-quality-risk trade-off in GIGA projects using specific techniques of hunting dolphins

Paryzad, Behzad; Pour, Nasser Shahsavari

doi:10.1504/ijise.2016.075207

Cited by 3 publications

(2 citation statements)

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“…Paryzad and Pour [12] have balanced the project's risk, quality, time, and cost with the help of the dolphin technique. is paper presents the dolphin group hunting algorithm as a new evolutionary optimization method.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Limitations (7) to (15) calculate the project's critical time and allocate the appropriate start and end time for each activity for each project. Limitations ( 8) and ( 9) indicate FS relationships, limits (10) and (11) indicate SS relationships, limits (12) and ( 13) indicate FF relationships, and limitations ( 14) and (15) indicate SF relationships between activities. Limitations ( 16) and (17) also determine the range of decision variables.…”

Section: Decision Variablesmentioning

confidence: 99%

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Multiobjective Project Scheduling with Multiple Compression Capabilities of the Multistate Activities with Project Reliability Approach using the Metaheuristic Algorithm

Shayannia

2022

Mathematical Problems in Engineering

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We examine the time-cost-reliability-project balance of the project by considering the limitations of renewable and nonrenewable resources and performing multistate group activities in the same conditions and with the possibility of multiple compression activities. This study aimed to select the best mode for conducting actions in each subset and find the best execution method by determining the number of compression time units of actions to maximize project reliability and minimize project completion risk, time, and cost. Drilling projects will also be implemented for evaluation in the Azar oil field. The exact Epsilon Limitation method was used to solve this problem in low dimensions. The combined genetic metaheuristic algorithm and particle swarming were used to solve high dimensions problems. The low-dimensional Epsilon solution method could clearly balance the objective functions. Also, the Taguchi experimental design method was used to adjust the parameters of the problem algorithm. The correct value of the algorithm parameters is also specified. Based on the results, the hybrid metaheuristic algorithm has less solution time than the exact method. In high dimensions, as it was observed, GAMS software could not solve the problem. Still, the hybrid metaheuristic algorithm solved the problem well in high dimensions.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Decision Variablesmentioning

confidence: 99%

Multiobjective Project Scheduling with Multiple Compression Capabilities of the Multistate Activities with Project Reliability Approach using the Metaheuristic Algorithm

Shayannia

2022

Mathematical Problems in Engineering

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Managing cost of quality in supply chain: a case study

Pattanayak

Prakash

Mohanty

2019

IJISE

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Application of Three Metaheuristic Algorithms to Time-Cost-Quality Trade-Off Project Scheduling Problem for Construction Projects Considering Time Value of Money

et al. 2021

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Time, cost, and quality have been known as the project iron triangles and substantial factors in construction projects. Several studies have been conducted on time-cost-quality trade-off problems so far, however, none of them has considered the time value of money. In this paper, a multi-objective mathematical programming model is developed for time-cost-quality trade-off scheduling problems in construction projects considering the time value of money, since the time value of money, which is decreased during a long period of time, is a very important matter. Three objective functions of time, cost, and quality are taken into consideration. The cost objective function includes holding cost and negative cash flows. In this model, the net present value (NPV) of negative cash flow is calculated considering the costs of non-renewable (consumable) and renewable resources in each time period of executing activities, which can be mentioned as the other contribution of this study. Then, three metaheuristic algorithms including multi-objective grey wolf optimizer (MOGWO), non-dominated sorting genetic algorithm (NSGA-II), and multi-objective particle swarm optimization (MOPSO) are applied, and their performance is evaluated using six metrics introduced in the literature. Finally, a bridge construction project is considered as a real case study. The findings show that considering the time value of money can prevent cost overrun in projects. Additionally, the results indicate that the MOGWO algorithm outperforms the NSGA-II and MOPSO algorithms.

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Time-cost-quality-risk trade-off in GIGA projects using specific techniques of hunting dolphins

Cited by 3 publications

References 0 publications

Multiobjective Project Scheduling with Multiple Compression Capabilities of the Multistate Activities with Project Reliability Approach using the Metaheuristic Algorithm

Multiobjective Project Scheduling with Multiple Compression Capabilities of the Multistate Activities with Project Reliability Approach using the Metaheuristic Algorithm

Managing cost of quality in supply chain: a case study

Application of Three Metaheuristic Algorithms to Time-Cost-Quality Trade-Off Project Scheduling Problem for Construction Projects Considering Time Value of Money

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