Using Greedy Clustering Method to Solve Capacitated Location-Routing Problem with Fuzzy Demands Abstract In this paper, the capacitated location routing problem with fuzzy demands (CLRP_FD) is considered. In CLRP_FD, facility location problem (FLP) and vehicle routing problem (VRP) are observed simultaneously. Indeed the vehicles and the depots have a predefined capacity to serve the customerst...

A staggering amount of used oils (e.g., 1.4 billion gallons in the U.S.) are generated annually as part of our industrial lifestyle. These are harmful to the population and environment in the vicinity of the transport routes as well as the storage, treatment and disposal facilities. In this paper, we provide an analytical framework to simultaneously answer the following questions: Where should ...

In this paper, we study the location routing problem with replenishment facilities (LRPRF), an extension of the location routing problem (LRP) where the vehicles can replenish at some replenishment facilities. Vehicles leave the depot with load on-board, serve customers until out of load, and then either return to a replenishment facility to reload or return to the depot, completing their route...

majority of models in location literature are based on assumptions such as point demand, absence of competitors, as well as monopoly in location, products, and services. however in real-world applications, these assumptions are not well-matched with reality. in this study, a new mixed integer nonlinear programming model based on weighted goal programming approach is proposed to maximize the cap...

Hazardous Materials transportation risk mitigation may be achieved by reducing the accident probability and alleviating the associated potential consequences. The consideration of risk as a criterion for selecting Hazardous Materials distribution routes contributes substantially to the reduction of accident probability and the severity of the accident consequences. Furthermore the optimum deplo...

The paper introduces a genetic algorithms based elevator group control system utilising new approaches to multiobjective optimisation in a dynamically changing process control environment. The problem of controlling a group of elevators as well as the basic principles of the existing single-objective genetic elevator group control method are described. The foundations of the developed multi-obj...

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...