Fuzzy Multi-Objective Model for Optimizing Project Compression

Accelerating the logistics centers' construction can be transferred to the typical time-cost-quality trade-off analysis since the manager seeks to minimize time, cost, and high quality. However, the traditional time-cost trade-off problem assumes that the time and cost of the activity are deterministic. This study proposed the project compression, fuzzy non-linear multi-objection model. The objectives are 'minimize the sum of a project's time,' 'minimize the expected total cost,' and 'maximize project quality.' A fuzzy multi-objective between these three objectives is the most appropriate to achieve satisfaction. Developing a decision model that can determine if accelerating the project schedule is needed and then deciding the best strategies for achieving it under uncertainties. This research presents a model that combines fuzzy set theory and a-cut to solve the problem of determining the best strategy for accelerating the project schedule under uncertainty. The model can make the fuzzy project of time, cost, and quality transfer to direct crisp values for managers to quickly make logistics centers' construction decisions.