C44 - Operations Research; Statistical Decision TheoryReturn

Nowadays, consumers can find basic information about a wide range of offers with almost no effort. For example, Internet sites give information about second-hand cars regarding the mark, age, price, engine type/size and distance travelled. This information suffices to assess whether a car is potentially attractive, but is not sufficient to make a final decision. The authors have developed an automatic procedure for selecting a shortlist of offers that aims to maximize a weighted average of the attractiveness and diversity of the offers on the shortlist. The consumer determines the number of offers to be placed on the shortlist and the relative importance of the traits considered. The authors have compared the results obtained by applying two methods of multicriteria assessment.

Smartcities are, among other things, well-known for solving optimization problems. One of the problems could be an optimal location of a central warehouse, which supplies branches. The branches are not the same; they naturally have a different location and a volume of traffic. The central warehouse must be situated in the area within the optimal distance that allows for minimal transportation costs. It can happen that the optimal solution to the abovementioned problem lies in a prohibited area such as forests, military areas. This paper deals with the problem of an optimal location of the central warehouse that must not lie in the prohibited area. The aim of the article is to present a mathematical model based on nonlinear principle, which can offer a solution to the mentioned problem. The main principle in modelling is to create a user-friendly and affordable model and to find an optimal solution to a particular situation. Such a model must take into consideration the dynamic development of logistics, construction of distribution warehouses and the chain stores nearby. The model gives results for the first phase of the planning optimal positioning. The mathematical solution must be implemented into a realistic situation. The actual location of the central warehouse must be adapted to, for example the reach of the highway.