Integrated quay crane and yard truck scheduling problem at port of Tripoli-Lebanon

Trajectory Predictions with Details in a Robotic Twin-Crane System

“…A GA was also used to study the quay crane scheduling problem [20][21][22]28] and its extended problems, such as berth allocation and quay crane assignment problem [23] , quay crane assignment and scheduling problem [25] , quay crane scheduling problem with draft and trim constraints [29] , and integrated quay crane and yard truck scheduling problem [31] . Other problems using GAs include the scheduling problems of multiple vehicles/cranes along a common lane [24,26,27,30] and the yard crane scheduling problem with a noninterference constraint in a container terminal [32] . The results of the previously mentioned studies show that GAs manage to provide practical solutions and significant time savings for scheduling problems.…”

Fuzzy-logic Approach to Estimating the Fleet Efficiency of a Road Transport Company: A Case Study of Agricultural Products’ Deliveries in Kazakhstan

“…The choice of the type of freight transport is an important part of modeling the demand for freight traffic, and the problem of forming a rational structure of the vehicles fleet is typical not only for road transport, but is relevant for rail [2,3], water [1,[4][5][6] and industrial modes of transport [7][8][9]. That problem also occupies an important place in organizing mixed supply chains or delivery schemes with cross-docking terminals [1,6,[10][11][12][13].…”

“…The choice of the type of freight transport is an important part of modeling the demand for freight traffic, and the problem of forming a rational structure of the vehicles fleet is typical not only for road transport, but is relevant for rail [2,3], water [1,[4][5][6] and industrial modes of transport [7][8][9]. That problem also occupies an important place in organizing mixed supply chains or delivery schemes with cross-docking terminals [1,6,[10][11][12][13]. The problems of justifying the rational structure of the fleet (in terms of vehicle models) are not new, they arose in the 1950s, and considered the dependence of the carrying capacity on various indicators representing operating conditions.…”

“…The presence in the considered works of many variable parameters and the given formalization of the conditions for conducting research do not allow qualitative analysis of the results obtained and the development of recommendations that allow using any of the proposed methods as a universal one for choosing the optimal (rational) qualitative and quantitative vehicle models for transportation of the agro-industrial products in the conditions of Kazakhstani market. The above statement is also based on the fact that genetic algorithms and their modifications [1,4,10,11,[15][16][17]29], which are characterized by poor scalability to the complexity of the problem being solved, were often used to solve the optimization problems formulated in the listed above works. As other methods, the following approaches were used: hybrid Pareto optimal approaches [31], binary integer programming under uncertainty [8], fuzzy programming [12], generalized disjunctive programming [35], fuzzy-tuned models [43], and multiperiod multiplicative analysis [37], recursive logic modeling [38], binary probit and logit models [2], discrete continuum econometric models [18], agent-based modeling [32], and discrete event simulation modeling [6,9].…”

“…An analysis of the technical efficiency of the production of certain types of agricultural products [1] shows that small agricultural enterprises are more efficient than large agricultural holdings -which is why nowadays the agricultural policy is increasingly recognizing the potential of small farms. However, such enterprises using progressive forms of organizing agricultural production face the problem of adapting the structure of their rolling stock to operating conditions (transport, road, climatic, organizational, and technical) and external conditions: the need to transport various types and range of Disclaimer/Publisher's Note: The statements, opinions, and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s).…”