A new fuzzy logic approach to capacitated dynamic Dial-a-Ride problem

Three effective metaheuristics to solve the multi-depot multi-trip heterogeneous dial-a-ride problem

“…Some authors have also considered realistic real life conditions pertaining to uncertainty and imprecision in pickup and/or drop off times (e.g. Teodorovic andRadivojevic, 2000 andMaalouf et al, 2014), where fuzzy logic has been utilized to provide approximate problem solutions for the dynamic DARP.…”

Fuzzy sets to model master production effectively in Make to Stock companies with Lack of Homogeneity in the Product

“…As observed in Table 9, the real mean value of the profits achieved is lower than the planned one for both the deterministic and fuzzy models, which indicates that the real performance of solutions is worse than expected. However, the percentage of worsening, calculated according to (31), is higher for the deterministic model (1.7%) than for the fuzzy one (0.9%). Both values are quite small meaning that both models are quite robust as regards profits.…”

“…The optimal order quantities in decentralized and centralized systems are analyzed under fuzzy random variable demand and the expected profits for all stakeholders are shown. Maalouf et al [31] propose a fuzzy approach to solve the optimal design of routes. The fuzzy logic algorithm minimizes both the time a customer spends in the vehicle and the distance traveled by the vehicle to transport the customer.…”

Modelling and simulation of hierarchical scheduling of real‐time responsive customised bus

“…Most studies on the dynamic DARP considered a combination of operational and quality‐related objectives to achieve a trade‐off between conflicting objectives, for example, the lexicographic objective function that minimises all the routes’ total tardiness, the number of routes (NR), and the total route duration [26] and the objective of minimising the customers’ dwell time and vehicle's travel distance [27].…”