Fuzzy goal programming- an additive model
Fuzzy Sets and Systems
Minimizing resource availability costs in time-limited project networks
Management Science
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Response Surface Methodology: Process and Product in Optimization Using Designed Experiments
Design and Analysis of Experiments
Design and Analysis of Experiments
Computers and Operations Research
Expert Systems with Applications: An International Journal
Computers and Industrial Engineering
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In order to develop a more realistic resource-constrained project-scheduling model that is applicable to real-world projects, in this paper, the resource investment problem with discounted cash flows and generalized precedence relations is investigated under inflation factor such that a bonus-penalty structure at the deadline of the project is imposed to force the project not to be finished beyond the deadline. The goal is to find activity schedules and resource requirement levels that maximize the net present value of the project cash flows. The problem is first mathematically modeled. Then, a genetic algorithm (GA) is designed using a new three-stage process that utilizes design of experiments and response surface methodology. The results of the performance analysis of the proposed methodology show an effective solution approach to the problem.