We develop an efficient allocation-based solution framework for a class of two-facility location– allocation problems with dense demand data. By formulating the problem as a multi-dimensional boundary value problem, we show that previous results for the discrete demand case can be extended to problems with highly dense demand data. Further, this approach can be generalized to non-convex allocat...

The paper deals with the problem of defining the territories for I68 sales agents of a German manufacturer of consumer goods. About 1400 postal areas constitute the basic geographical units. The problem is solved by means of a location-allocation approach involving a standard code of a primal network algorithm as well as a new heuristic for resolving split areas. Numerical results and the imple...

The hub location–allocation problem under uncertainty is a real-world task arising in the areas such as public and freight transportation and telecommunication systems. In many applications, the demand is considered as inexact because of the forecasting inaccuracies or human’s unpredictability. This study addresses the robust uncapacitated multiple allocation hub location problem with a set of ...

Given a sequence of activities and transport modes, for which a framework has been provided in previous work, this paper evaluates the use of a Reinforcement Machine Learning technique. The technique simulates time and location allocation for these predicted sequences and enables the prediction of a more complete and consistent activity pattern. The main contributions of the paper to the curren...

Solution techniques for location-allocation problems usually are not a part of microcomputer-based geoprocessing systems because of the large volumes of data to process and store and the complexity of algorithms. In this paper, it is shown that processing costs for the most accurate, heuristic, location-allocation algorithm can be drastically reduced by exploiting the spatial structure of locat...

In the current design of reverse supply chain, several performance indicators must be considered and treated attentively. At this strategic level of the conception and to ensure a sustainable closed loop green supply chain, many qualitative as well quantitative criteria are taken into consideration with an environmental respect. Since the location allocation study persists as one of the most im...

http://dx.doi.org/10.1016/j.tre.2014.01.01

There is considerable evidence that because of poor geographical accessibility, basic health care does not reach the majority of the population in developing nations. Despite the view that mathematical methods of locational analysis are too sophisticated for use in many of these nations, several studies have demonstrated the usefulness of such methods in the locational decision-making process. ...

This study presents a capacitated multi-facility location-allocation problem with stochastic demands based on a well-known distribution function. In this discrete environment, besides the capacitated facilities, we can employee the capacitated sub-source of each facility for satisfying demands of customers. The objective function is to find the optimal locations of facilities among a finite num...