Warehousing management is essential for many companies involved in the supply chain. The optimal arrangement and operation of warehouses play important role in companies, allowing them to maintain and increase their competitiveness. One of the main goals of warehousing is the reduction of costs and improvement of efficiency. Determination of the ideal warehouse layout is a special optimization case. In the article, a procedure is applied to the optimization of the allocation of bins in an automated warehouse with special characteristics. The initial layout of the warehouse, as well as the automated platforms constraints the search, as well as define the time needed to move goods inside the warehouse. The definition of time needed to move goods, with the analysis of historical data, allows the definition of a mathematical model of the operation of the warehouse. Using that model, an optimization procedure based on the well-known hill-climbing algorithm is defined. Experimental results show increments in the efficiency of the warehousing operations.
With the increase in the global population and rising demand for food and other materials, there has been a rise in the amount of waste being generated daily by each house and locality. Most of the waste that is generated is thrown into the garbage containers, from where it is collected by the area municipalities. Improper management of waste in cities results in a huge loss to any smart city. However, with the importance that this has for the health of the citizens and the environment, there are few tools available to manage the planning of waste collection routes efficiently. In this paper, we present a solution to the planning of waste collection routes considering the existence of monitoring capabilities of the containers. The routing of the trucks for each of the days will be formulated as a Capacitated Vehicle Routing Problem. This research focuses on the minimization of the routing times, as well as avoiding the overflow probability. The paper presents the results of a case study with real data on three municipalities in the Basque Country, Spain.
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