In this paper, a bi-objective hub maximal covering location problem is presented considering time-dependent reliabilities the two objective functions are: (i) maximizing the weighted network reliability and (ii) maximizing the total flow in a hub network, where the type of. Solving maximal covering location with particle swarm optimization wa lutfi wm hatta#1, maximal covering location problem (mclp) is one of the most common location models it is an np-hard problem and the objective is to maximize the coverage by a fixed number of ambulances in this study, the demand zones are. Details of problem and its different aspectsuser in this paper the maximal covering location-allocation model for congested system is extended “the maximal covering location problem”, papers of the regional science association 32, 1974, pp 101–118  larson, rc.
Article application of the maximal covering location problem to habitat reserve site selection: a review stephanie a snyder1 and robert g haight1 abstract the maximal covering location problem (mclp) is a classic model from the. Hub covering location problem under gradual decay function mostafa setak and hossein karimi maximal covering location problem is a particular occasion of the gradual covering problem accordingly, ghcp is np-hard which do not have to be different also, some. These are the p-median and maximal covering location problem each of these problems is solved using both miles and travel time as variables the dissertation compares and contrasts the results of these two approaches and highlights the differences in using miles versus time as the key variable in the problem. Reformulation of maximal available coverage location problem: a technical note sanjay mayadunne the two earliest models where the set covering location problem (sclp) (toregas, swain, revelle, the performance of each at different levels of server availability and reliability the experiments, were.
An extension of maximal covering location problem based on the choquet integral many problems from the real world contain different uncertainties, ambiguities, the maximal covering location problem (mclp) by using a well-known fuzzy integral, the choquet integral. Location problems solving by spreadsheets wen-chen lee, neng-shu yang capacitated p-median problem, maximal covering location problem, spreadsheets 1 introduction the logistics for distribution of products (or services) has been a subject of increasing importance over the years it is a significant part of different from each other. The location set covering problem (lscp) as a version of set covering problem was introduced by toregas et al in 1971  the next step in this field is introducing maximal. Examine the set covering problem and the maximal covering location problem in the context of multiple units being required by some demands for congested service systems, brandeau and chiu (1992) present the stochastic queue center.
Location, location, location acc 543 location, location, location white water rafting has exploded onto the adventure sports scene in the last 10 years this explosion has broadened the business market for rafting companies in oregon, idaho and colorado. The location set covering problem (lscp) was defined more than thirty years ago by toregas this second type of covering problem is called the maximal covering location problem the reductions process has been applied to a set of four different problem data sets. The maximal covering location problem was first introduced by church and revelle in 1973 at the north american regional science council meetings and subsequently published in papers in regional science (formerly papers of the regional science association) in 1974. Icie (2016) all the vehicles stationed in that facility salari  proposed a generalization of the maximal covering location problem, in which facilities may follow different scenarios and. Maximal covering location problem with price decision for revenue maximization 559 for different values of p, we reveal a ﬁnite domination property with respect to price of the deduced revenue maximization model, leading to a full enumeration solution.
The maximal covering location problem (mclp) is the problem of locating p facilities on a network such that the maximal population is attended (or covered) within a. This study introduces the multi-type maximal covering location problem (mtmclp) that arises from the design of emergency service networks, and represents a generalization of the well-known maximal covering for determining optimal location of medical centers of different types (ambulances, heath-care centers, clinics, etc) in addition, the. The maximal covering location problem (mcp) is a mathematical problem used in deciding the location of emergency facilities such as fire stations and oil spill response centers [2,4, 1 i. This study introduces a new model for the planar maximal covering location problem (pmclp) under different block norms the problem involves locating p facilities anywhere on the plane in order to cover the maximum number of n given demand points. The maximal covering location problem (mclp) model and the large number of applications and modifications that have emanated from it have been extensively used to site facility networks in a wide variety of applications in this article, we formulate and apply an extension of mclp, the maximal.
Problem has been extended in a number of different ways where the main theme still involves locating a fixed number of facilities maximal covering location problem (mclp) (church and revelle 1974) in the mclp, a fixed number of facilities are located so as to provide coverage to the largest number of users. To improve the application of the maximal covering location problem (mclp), several capacitated mclp models were proposed to consider the capacity limits of facilities. To this end and with regard to covering problem applications, this problem is inclusively studied in the operations research (or) literature this article proposes a novel maximal covering location problem (mclp) in which different factors (capacity of facilities, budget, number of available facilities in different types) have been considered.
Location problem (mclp) and set covering location problem (sclp) in covering problems, a demand is said to be covered if at least one facility is located within a predefined distance of it. The maximal covering location problem (mclp) aims to select the location of a fixed number of facilities to maximize covered nodes a covered node has at least one facility within a predetermined distance or time, called the ‘covering radius. The p-hub maximal covering problem maximizes the demands that are covered with a predetermined number of hubs the problem for both allocations is posed by campbell [6. The maximal covering location problem (mclp) is a challenging problem with numerous applications in practice previous publications in the area of mclp proposed models and presented solution methodologies to solve this problem with up to 900 nodes.