Abbas Shoul; Esmaeil Keshavarz
Abstract
In the present research, Time-Cost-Quality trade off problem is formulated and solved, from a new point of view. To this end, quality is defined as a function of time and cost, then by defining the project’s quality as minimum value of quality of activities and regarding predecessor relations between ...
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In the present research, Time-Cost-Quality trade off problem is formulated and solved, from a new point of view. To this end, quality is defined as a function of time and cost, then by defining the project’s quality as minimum value of quality of activities and regarding predecessor relations between activities, a tri-objective programming model is formulated to trade off the time, cost and quality. In order to solve the problem, objective functions of time and cost described as fuzzy goals and a fuzzy decision-making methodology has been used to reformulate the proposed tri-objective model to a single-objective model. Producing a final solution, instead of a set of Pareto efficient solutions, is one of the advantages of proposed method, which prevents decision maker from confusion. In order to describe performance and show the potential applicability of proposed methodology, a time-cost-quality trade-off problem for a project with real data from Organization for Renovating, Developing and Equipping Schools of Kerman province is solved. Finally, in order to validate the proposed model and method, a parametric analysis, which systematically varies the main parameters of model, is employed.
amir abas najafii; faramarz shamsnatari; mohammad najafi
Volume 11, Issue 29 , July 2013, , Pages 1-20
Abstract
A Resource Investment Problem is a project scheduling problem recently considered. In this issue, in contrast with other project scheduling, the project availability of needed resources level is considered decision variable and the goal is to find a schedule and resource requirement level. Researches ...
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A Resource Investment Problem is a project scheduling problem recently considered. In this issue, in contrast with other project scheduling, the project availability of needed resources level is considered decision variable and the goal is to find a schedule and resource requirement level. Researches regarding this field are related to optimizing an objective. In this paper, resource investment problem is studied for simultaneous optimization minimizing projectspan and project resource costs. Two multi-objective meta-heuristic algorithms, two process sub-population genetic algorithms and multi-population genetic algorithm are proposed to find solutions. According to evaluation criteria, the function of two algorithms is computationally compared and.
