To reduce the logistic cost and carbon emission improve customer satisfaction, this study proposes a multiobjective green time-dependent location routing problem (MOGTDLRP) model in which objectives are to minimize distribution total cost, delivery time, fuel consumption. This will be solved by several hyperheuristic algorithms include high-level heuristics low-level heuristics. There three acc...

This study extends a mathematical model that integrates the location, allocation, inventory replenishment and routing decisions simultaneously. To cope with inherent uncertainty of parameters, we implement a continuous-time Markov process and derive the performance measures of the system. Using the obtained results, the problem is formulated as a mixed integer nonlinear programing model (MINLP)...

in the case of hazardous materials management, selected routes for carrying hazardous materials (i.e.,hazmat) have significant effects on locating hazmat distribution centers. since, risk and cost are usuallyconsidered as two main attributes to determine the best routes, optimized locations are sequentially outlineddepending on selected routes. in the present paper, two different approaches of ...

The Two-Echelon Routing Problem constitutes a class of combinatorial optimization problems with applications in many different fields such as city logistic planning, intermodal transportation, postal and parcel delivery distribution systems and so on. This thesis contains: a survey of the main contributions related to the two-echelon routing, focusing on the Two-Echelon Location Routing Problem...

In this paper, we study an integrated logistic system where the optimal location of depots and vehicles routing are considered simultaneously. This paper presents a new mathematical model for a multi-objective capacitated location-routing problem with a new set of objectives consisting of the summation of economic costs, summation of social risks and demand satisfaction score. A new multi-objec...